Franck Cappello

416 papers A* 8A 87B 40C 31Misc 11Journal 154Unranked 81

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DataStates-LLM: Scalable Checkpointing for Transformer Models Using Composable State Providers. CoRR Avinash Maurya, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae
2026	J	`jnl`	Enabling Homomorphic Analytical Operations on Compressed Scientific Data with Multi-stage Decompression. CoRR Xuan Wu, Sheng Di, Tripti Agarwal, Kai Zhao, Xin Liang, Franck Cappello
2026	J	`jnl`	FFCz: Fast Fourier Correction for Spectrum-Preserving Lossy Compression of Scientific Data. CoRR Congrong Ren, Robert Underwood, Sheng Di, Emrecan Kutay, Zarija Lukic, Aylin Yener, Franck Cappello, Hanqi Guo
2026	J	`jnl`	Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation. CoRR Pu Jiao, Sheng Di, Jiannan Tian, Mingze Xia, Xuan Wu, Yang Zhang, Xin Liang, Franck Cappello
2026	J	`jnl`	Rate-Distortion Bounds for Heterogeneous Random Fields on Finite Lattices. CoRR Sujata Sinha, Vishwas Rao, Robert Underwood, David Lenz, Sheng Di, Franck Cappello, Lingjia Liu
2026	J	`jnl`	SPARe: Stacked Parallelism with Adaptive Reordering for Fault-Tolerant LLM Pretraining Systems with 100k+ GPUs. CoRR Jin Lee, Zhonghao Chen, Xuhang He, Robert Underwood, Bogdan Nicolae, Franck Cappello, Xiaoyi Lu, Sheng Di, Zheng Zhang
2026	J	`jnl`	TopoSZp: Lightweight Topology-Aware Error-controlled Compression for Scientific Data. CoRR Tripti Agarwal, Sheng Di, Xin Liang, Zhaoyuan Su, Yuxiao Li, Ganesh Gopalakrishnan, Hanqi Guo, Franck Cappello
2026	J	`jnl`	pMSz: A Distributed Parallel Algorithm for Correcting Extrema and Morse Smale Segmentations in Lossy Compression. CoRR Yuxiao Li, Mingze Xia, Xin Liang, Bei Wang, Robert Underwood, Sheng Di, Hemant Sharma, Dishant Beniwal, Franck Cappello, Hanqi Guo
2025	A	`conf`	A Memory-Efficient and Computation-Balanced Lossy Compressor on Wafer-Scale Engine. IPDPS Shihui Song, Robert Underwood, Sheng Di, Yafan Huang, Peng Jiang, Franck Cappello
2025	J	`jnl`	A Survey on Error-Bounded Lossy Compression for Scientific Datasets. ACM Comput. Surv. Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Shihui Song, Jon Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello
2025	—	`conf`	Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models. SC Workshops Ozan Gökdemir, Neil Getty, Robert Underwood, Sandeep Madireddy, Franck Cappello, Arvind Ramanathan, Ian T. Foster, Rick L. Stevens
2025	J	`jnl`	Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models. CoRR Ozan Gökdemir, Neil Getty, Robert Underwood, Sandeep Madireddy, Franck Cappello, Arvind Ramanathan, Ian T. Foster, Rick L. Stevens
2025	J	`jnl`	BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models. CoRR Zhengyang Wang, Ziyue Liu, Ruijie Zhang, Avinash Maurya, Paul D. Hovland, Bogdan Nicolae, Franck Cappello, Zheng Zhang
2025	A	`conf`	Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration. SC Shixun Wu, Jinwen Pan, Jinyang Liu, Jiannan Tian, Ziwei Qiu, Jiajun Huang, Kai Zhao, Xin Liang, Sheng Di, Zizhong Chen, Franck Cappello
2025	J	`jnl`	Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration. CoRR Shixun Wu, Jinwen Pan, Jinyang Liu, Jiannan Tian, Ziwei Qiu, Jiajun Huang, Kai Zhao, Xin Liang, Sheng Di, Zizhong Chen, Franck Cappello
2025	—	`conf`	Characterizing Spatial Data Traits for Modeling Generic Lossy Rate-Distortion Quality. IPDPS (Workshops) Md Hasanur Rahman, Sheng Di, Guanpeng Li, Franck Cappello
2025	A*	`conf`	CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation. EMNLP Ziyue Liu, Ruijie Zhang, Zhengyang Wang, Mingsong Yan, Zi Yang, Paul D. Hovland, Bogdan Nicolae, Franck Cappello, Sui Tang, Zheng Zhang
2025	J	`jnl`	CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation. CoRR Ziyue Liu, Ruijie Zhang, Zhengyang Wang, Zi Yang, Paul D. Hovland, Bogdan Nicolae, Franck Cappello, Zheng Zhang
2025	B	`conf`	DTIO: Data Stack for AI-driven Workflows. SSDBM Keith Alex Bateman, Neeraj Rajesh, Jaime Cernuda, Luke Logan, Bogdan Nicolae, Franck Cappello, Xian-He Sun, Anthony Kougkas
2025	J	`jnl`	DeepCQ: General-Purpose Deep-Surrogate Framework for Lossy Compression Quality Prediction. CoRR Khondoker Mirazul Mumenin, Robert Underwood, Dong Dai, Jinzhen Wang, Sheng Di, Zarija Lukic, Franck Cappello
2025	—	`conf`	Design and Implementation of a Custom Hardware Accelerator for SZx Compression in Chipyard. SC Workshops Connor Bohannon, Kazutomo Yoshii, Sheng Di, Franck Cappello, Antonino Miceli
2025	J	`jnl`	EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. CoRR Franck Cappello, Sandeep Madireddy, Robert Underwood, Neil Getty, Nicholas Lee-Ping Chia, Nesar Ramachandra, Josh Nguyen, Murat Keçeli, Tanwi Mallick, Zilinghan Li, Marieme Ngom, Chenhui Zhang, Angel Yanguas-Gil, Evan R. Antoniuk, Bhavya Kailkhura, Minyang Tian, Yufeng Du, Yuan-Sen Ting, Azton Wells, Bogdan Nicolae, Avinash Maurya, M. Mustafa Rafique, Eliu A. Huerta, Bo Li, Ian T. Foster, Rick Stevens
2025	A	`conf`	Enabling Efficient Error-Controlled Lossy Compression for Unstructured Scientific Data. IPDPS Xuan Wu, Sheng Di, Congrong Ren, Pu Jiao, Mingze Xia, Cheng Wang, Hanqi Guo, Xin Liang, Franck Cappello
2025	J	`jnl`	Evaluating the Safety and Skill Reasoning of Large Reasoning Models Under Compute Constraints. CoRR Adarsha Balaji, Le Chen, Rajeev Thakur, Franck Cappello, Sandeep Madireddy
2025	—	`conf`	Evaluation of Test-Time Compute Constraints on Safety and Skill Large Reasoning Models. SC Workshops Adarsha Balaji, Le Chen, Rajeev Thakur, Franck Cappello, Sandeep Madireddy
2025	—	`conf`	Exploring Lossy Compression of Activation Data for Emerging AI Accelerators: A Case Study on the Graphcore IPU. IISWC Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello
2025	A	`conf`	Fast and Effective Lossy Compression on GPUs and CPUs with Guaranteed Error Bounds. IPDPS Alex Fallin, Noushin Azami, Sheng Di, Franck Cappello, Martin Burtscher
2025	J	`jnl`	FedCSpc: A Cross-Silo Federated Learning System With Error-Bounded Lossy Parameter Compression. IEEE Trans. Parallel Distributed Syst. Zhaorui Zhang, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Zhuoran Ji, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao, Franck Cappello
2025	A	`conf`	GPU Lossy Compression for HPC Can Be Versatile and Ultra-Fast. SC Yafan Huang, Sheng Di, Guanpeng Li, Franck Cappello
2025	J	`jnl`	GPZ: GPU-Accelerated Lossy Compressor for Particle Data. CoRR Ruoyu Li, Yafan Huang, Longtao Zhang, Zhuoxun Yang, Sheng Di, Jiajun Huang, Jinyang Liu, Jiannan Tian, Xin Liang, Guanpeng Li, Hanqi Guo, Franck Cappello, Kai Zhao
2025	A	`conf`	IPComp: Interpolation Based Progressive Lossy Compression for Scientific Applications. HPDC Zhuoxun Yang, Sheng Di, Longtao Zhang, Ruoyu Li, Ximiao Li, Jiajun Huang, Jinyang Liu, Franck Cappello, Kai Zhao
2025	A	`conf`	Improving the Efficiency of Interpolation-based Scientific Data Compressors with Adaptive Quantization Index Prediction. IPDPS Pu Jiao, Sheng Di, Mingze Xia, Xuan Wu, Jinyang Liu, Xin Liang, Franck Cappello
2025	J	`jnl`	LCP: Enhancing Scientific Data Management with Lossy Compression for Particles. Proc. ACM Manag. Data Longtao Zhang, Ruoyu Li, Congrong Ren, Sheng Di, Jinyang Liu, Jiajun Huang, Robert Underwood, Pascal Grosset, Dingwen Tao, Xin Liang, Hanqi Guo, Franck Cappello, Kai Zhao
2025	—	`conf`	Lightweight CNN-Based Artifact Reduction for Scientific Error-bounded Lossy Compression. SC Workshops Zizhe Jian, Pu Jiao, Bohan Zhang, Sheng Di, Xin Liang, Guanpeng Li, Huangliang Dai, Zizhong Chen, Franck Cappello
2025	J	`jnl`	Lossy Compression of Scientific Data: Applications Constrains and Requirements. CoRR Franck Cappello, Allison H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Paul Christopher O'Grady, Peng Jiang, Shaomeng Li, Erik Lindahl, Peter Lindstrom, Magnus Lundborg, Kai Zhao, Xin Liang, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Dingwen Tao, Jiannan Tian, Robert Underwood, Kazutomo Yoshii, Danylo Lykov, Yuri Alexeev, Kyle Gerard Felker
2025	—	`conf`	Lossy Parallel Visualization of Large-Scale Volume Data with Error-Bounded Image Compositing. IPDPS (Workshops) Yongfeng Qiu, Yuxiao Li, Xin Liang, Yafan Huang, Guanpeng Li, Sheng Di, Franck Cappello, Hanqi Guo
2025	—	`conf`	Lossy Parallel Visualization of Large-Scale Volume Data with Error-Bounded Image Compositing. LDAV Yongfeng Qiu, Yuxiao Li, Xin Liang, Yafan Huang, Guanpeng Li, Sheng Di, Franck Cappello, Hanqi Guo
2025	A	`conf`	MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall. SC Avinash Maurya, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae
2025	J	`jnl`	MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall. CoRR Avinash Maurya, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae
2025	C	`conf`	Modeling Rate-Distortion for Endpoint-Aware Lossy Compression in Scientific Data Transfer. IPCCC Md Hasanur Rahman, Sheng Di, Guanpeng Li, Franck Cappello
2025	J	`jnl`	Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. Future Gener. Comput. Syst. Franck Cappello, Mario C. Acosta, Emmanuel Agullo, Hartwig Anzt, Jon Calhoun, Sheng Di, Luc Giraud, Thomas Grützmacher, Sian Jin, Kentaro Sano, Kento Sato, Amarjit Singh, Dingwen Tao, Jiannan Tian, Tomohiro Ueno, Robert Underwood, Frédéric Vivien, Xavier Yepes, Kazutomo Yoshii, Boyuan Zhang
2025	J	`jnl`	PSZ: Enhancing the SZ Scientific Lossy Compressor With Progressive Data Retrieval. CoRR Zhuoxun Yang, Sheng Di, Longtao Zhang, Ruoyu Li, Ximiao Li, Jiajun Huang, Jinyang Liu, Franck Cappello, Kai Zhao
2025	J	`jnl`	Preface of Special Issue on Highlights from the Joint-Laboratory on Extreme Scale Computing. Future Gener. Comput. Syst. Franck Cappello, Ruth Partzsch, Daniel S. Katz
2025	A	`conf`	Pushing the Limits of GPU Lossy Compression: A Hierarchical Delta Approach. ICS Boyuan Zhang, Yafan Huang, Sheng Di, Fengguang Song, Guanpeng Li, Franck Cappello
2025	J	`jnl`	QPET: A Versatile and Portable Quantity-of-Interest-preservation Framework for Error-Bounded Lossy Compression. Proc. VLDB Endow. Jinyang Liu, Pu Jiao, Kai Zhao, Xin Liang, Sheng Di, Franck Cappello
2025	J	`jnl`	SWARM: Reimagining scientific workflow management systems in a distributed world. Int. J. High Perform. Comput. Appl. Prasanna Balaprakash, Krishnan Raghavan, Franck Cappello, Ewa Deelman, Anirban Mandal, Hongwei Jin, Imtiaz Mahmud, Komal Thareja, Shixun Wu, Pawel Zuk, Mariam Kiran, Zizhong Chen, Sheng Di, Kesheng Wu
2025	A	`conf`	Sensitivity and Impacts on Parallel Compression of Prediction of Lossy Compression Ratios for Scientific Data. IPDPS Alexandra Poulos, Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello
2025	J	`jnl`	Systematic Evaluation of Optimization Techniques for Long-Context Language Models. CoRR Ammar Ahmed, Sheng Di, Franck Cappello, Zirui Liu, Jingoo Han, Ali Anwar
2025	A	`conf`	To Compress or Not to Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O. IPDPS Grant Wilkins, Sheng Di, Jon C. Calhoun, Robert Underwood, Franck Cappello
2025	B	`conf`	TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs. PPoPP Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Franck Cappello, Zizhong Chen
2025	A	`conf`	What to Support When You're Compressing: The State of Practice Gaps and Opportunities for Scientific Data Compression. SC Franck Cappello, Robert Underwood, Yuri Alexeev, Allison H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Kyle Gerard Felker, Paul Christopher O'Grady, Hanqi Guo, Yafan Huang, Peng Jiang, Sian Jin, Petter Johansson, Shaomeng Li, Xin Liang, Erik Lindahl, Peter Lindstrom, Zarija Lukic, Magnus Lundborg, Danylo Lykov, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Shihui Song, William Tang, Dingwen Tao, Jiannan Tian, Kazutomo Yoshii, Kai Zhao
2025	J	`jnl`	ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression. CoRR Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Khalid Ayedh Alharthi, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
2025	A	`conf`	ghZCCL: Advancing GPU-aware Collective Communications with Homomorphic Compression. ICS Jiajun Huang, Sheng Di, Yafan Huang, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
2025	A	`conf`	lsCOMP: Efficient Light Source Compression. SC Yafan Huang, Sheng Di, Robert Underwood, Peco Myint, Miaoqi Chu, Guanpeng Li, Nicholas Schwarz, Franck Cappello
2024	A	`conf`	A Portable, Fast, DCT-based Compressor for AI Accelerators. HPDC Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello
2024	J	`jnl`	A Survey on Error-Bounded Lossy Compression for Scientific Datasets. CoRR Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello
2024	A	`conf`	An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression. IPDPS Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
2024	—	`conf`	Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers. FlexScience@HPDC Avinash Maurya, Jie Ye, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae
2024	J	`jnl`	Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers. CoRR Avinash Maurya, Jie Ye, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae
2024	A	`conf`	CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. HPDC Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello
2024	A	`conf`	CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction. IPDPS Zizhe Jian, Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Haiying Xu, Robert Underwood, Shixun Wu, Jiajun Huang, Zizhong Chen, Franck Cappello
2024	A	`conf`	Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling. EuroSys Sian Jin, Sheng Di, Frédéric Vivien, Daoce Wang, Yves Robert, Dingwen Tao, Franck Cappello
2024	J	`jnl`	DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership. CoRR Shixun Wu, Krishnan Raghavan, Sheng Di, Zizhong Chen, Franck Cappello
2024	A	`conf`	DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. HPDC Avinash Maurya, Robert Underwood, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae
2024	J	`jnl`	DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. CoRR Avinash Maurya, Robert Underwood, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae
2024	J	`jnl`	Deep Optimizer States: Towards Scalable Training of Transformer Models Using Interleaved Offloading. CoRR Avinash Maurya, Jie Ye, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae
2024	A	`conf`	Deep Optimizer States: Towards Scalable Training of Transformer Models using Interleaved Offloading. Middleware Avinash Maurya, Jie Ye, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae
2024	A	`conf`	Druto: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications. IPDPS Md Hasanur Rahman, Sheng Di, Shengjian Guo, Xiaoyi Lu, Guanpeng Li, Franck Cappello
2024	—	`conf`	FRSZ2 for In-Register Block Compression Inside GMRES on GPUs. SC Workshops Thomas Grützmacher, Robert Underwood, Sheng Di, Franck Cappello, Hartwig Anzt
2024	J	`jnl`	FRSZ2 for In-Register Block Compression Inside GMRES on GPUs. CoRR Thomas Grützmacher, Robert Underwood, Sheng Di, Franck Cappello, Hartwig Anzt
2024	C	`conf`	FT K-Means: A High-Performance K-Means on GPU with Fault Tolerance. CLUSTER Shixun Wu, Yitong Ding, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Bryan M. Wong, Zizhong Chen, Franck Cappello
2024	J	`jnl`	FT K-means: A High-Performance K-means on GPU with Fault Tolerance. CoRR Shixun Wu, Yitong Ding, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Bryan M. Wong, Zizhong Chen, Franck Cappello
2024	A	`conf`	FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. ICDCS Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2024	—	`conf`	FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. IPDPS (Workshops) Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2024	J	`jnl`	High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. Proc. ACM Manag. Data Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello
2024	J	`jnl`	HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data. CoRR Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello
2024	J	`jnl`	LCP: Enhancing Scientific Data Management with Lossy Compression for Particles. CoRR Longtao Zhang, Ruoyu Li, Congrong Ren, Sheng Di, Jinyang Liu, Jiajun Huang, Robert Underwood, Pascal Grosset, Dingwen Tao, Xin Liang, Hanqi Guo, Franck Cappello, Kai Zhao
2024	B	`conf`	POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. PPoPP Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
2024	A*	`conf`	Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points. ICDE Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, Hanqi Guo
2024	J	`jnl`	QPET: A Versatile and Portable Quantity-of-Interest-preservation Framework for Error-Bounded Lossy Compression. CoRR Jinyang Liu, Pu Jiao, Kai Zhao, Xin Liang, Sheng Di, Franck Cappello
2024	—	`conf`	SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data. SC Workshops Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello
2024	J	`jnl`	To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O. CoRR Grant Wilkins, Sheng Di, Jon C. Calhoun, Robert Underwood, Franck Cappello
2024	A	`conf`	Towards Affordable Reproducibility Using Scalable Capture and Comparison of Intermediate Multi-Run Results. Middleware Nigel Tan, Kevin Assogba, Walter J. Ashworth, Befikir Bogale, Franck Cappello, M. Mustafa Rafique, Michela Taufer, Bogdan Nicolae
2024	J	`jnl`	TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU. CoRR Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Zizhong Chen, Franck Cappello
2024	J	`jnl`	TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs. CoRR Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Franck Cappello, Zizhong Chen
2024	J	`jnl`	Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets. CoRR Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello
2024	A	`conf`	cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. SC Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Robert Underwood, Yafan Huang, Jiajun Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello
2024	A	`conf`	cuSZp2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio. SC Yafan Huang, Sheng Di, Guanpeng Li, Franck Cappello
2024	A	`conf`	gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. ICS Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
2024	A	`conf`	hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression. SC Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Zizhe Jian, Xin Liang, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
2023	A*	`conf`	A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets. ICDE Md Hasanur Rahman, Sheng Di, Kai Zhao, Robert Underwood, Guanpeng Li, Franck Cappello
2023	C	`conf`	A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression. CLUSTER Arkaprabha Ganguli, Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello
2023	A	`conf`	AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. SC Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Kai Zhao, Bo Fang, Zarija Lukic, Franck Cappello, James P. Ahrens, Dingwen Tao
2023	J	`jnl`	AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. CoRR Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Zarija Lukic, Kai Zhao, Bo Fang, Franck Cappello, James P. Ahrens, Dingwen Tao
2023	—	`conf`	An Efficient and Accurate Compression Ratio Estimation Model for SZx. CLUSTER Workshops Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello
2023	J	`jnl`	Black-Box Statistical Prediction of Lossy Compression Ratios for Scientific Data. CoRR Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello
2023	J	`jnl`	Black-box statistical prediction of lossy compression ratios for scientific data. Int. J. High Perform. Comput. Appl. Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello
2023	J	`jnl`	C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives. CoRR Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
2023	Misc	`conf`	Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors. HiPC Pu Jiao, Sheng Di, Jinyang Liu, Xin Liang, Franck Cappello
2023	J	`jnl`	Dynamic Quality Metric Oriented Error-bounded Lossy Compression for Scientific Datasets. CoRR Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2023	J	`jnl`	Efficient Communication in Federated Learning Using Floating-Point Lossy Compression. CoRR Grant Wilkins, Sheng Di, Jon C. Calhoun, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2023	B	`conf`	Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression. IEEE Big Data Jiajun Huang, Jinyang Liu, Sheng Di, Yujia Zhai, Zizhe Jian, Shixun Wu, Kai Zhao, Zizhong Chen, Yanfei Guo, Franck Cappello
2023	A	`conf`	FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data. ICS Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2023	A	`conf`	FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. HPDC Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2023	J	`jnl`	FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. CoRR Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2023	A	`conf`	GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations. IPDPS Milan Shah, Xiaodong Yu, Sheng Di, Danylo Lykov, Yuri Alexeev, Michela Becchi, Franck Cappello
2023	A	`conf`	GPU-Enabled Asynchronous Multi-level Checkpoint Caching and Prefetching. HPDC Avinash Maurya, M. Mustafa Rafique, Thierry Tonellot, Hussain J. AlSalem, Franck Cappello, Bogdan Nicolae
2023	A	`conf`	GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. ICS Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello
2023	J	`jnl`	GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. CoRR Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello
2023	J	`jnl`	High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. CoRR Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello
2023	—	`conf`	LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance. SC Workshops Robert Underwood, Sheng Di, Sian Jin, Md Hasanur Rahman, Arham Khan, Franck Cappello
2023	A	`conf`	Lightweight Huffman Coding for Efficient GPU Compression. ICS Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello
2023	A	`conf`	Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression. ICDCS Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello
2023	J	`jnl`	Optimizing Scientific Data Transfer on Globus with Error-bounded Lossy Compression. CoRR Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello
2023	Misc	`conf`	SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework. HiPC Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello
2023	J	`jnl`	SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. CoRR Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2023	J	`jnl`	SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. IEEE Trans. Big Data Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello
2023	B	`conf`	Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication. ICPP Nigel Tan, Jakob Lüttgau, Jack Marquez, Keita Teranishi, Nicolas M. Morales, Sanjukta Bhowmick, Franck Cappello, Michela Taufer, Bogdan Nicolae
2023	B	`conf`	Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. IEEE Big Data Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2023	—	`conf`	Streaming Hardware Compressor Generator Framework. SC Workshops Kazutomo Yoshii, Tomohiro Ueno, Kentaro Sano, Antonino Miceli, Franck Cappello
2023	A	`conf`	Time Machine: Generative Real-Time Model for Failure (and Lead Time) Prediction in HPC Systems. DSN Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Lin Gui, Franck Cappello, Simon McIntosh-Smith
2023	J	`jnl`	Toward Feature-Preserving Vector Field Compression. IEEE Trans. Vis. Comput. Graph. Xin Liang, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, Hanqi Guo
2023	Misc	`conf`	Towards Efficient I/O Pipelines Using Accumulated Compression. HiPC Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Franck Cappello
2023	B	`conf`	Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression. CCGrid Yafan Huang, Kai Zhao, Sheng Di, Guanpeng Li, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Franck Cappello
2023	J	`jnl`	cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs. CoRR Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Yafan Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello
2023	A	`conf`	cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance. SC Yafan Huang, Sheng Di, Xiaodong Yu, Guanpeng Li, Franck Cappello
2023	J	`jnl`	gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. CoRR Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
2022	A	`conf`	A Reflection on Methodologies, Algorithms and Software for HPDC. HPDC Franck Cappello
2022	A	`conf`	Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5. SC Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello
2022	J	`jnl`	Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5. CoRR Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello
2022	A	`conf`	Clairvoyant: a log-based transformer-decoder for failure prediction in large-scale systems. ICS Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Franck Cappello
2022	A	`conf`	Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets. SC Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2022	B	`conf`	Efficient Error-Bounded Lossy Compression for CPU Architectures. MASCOTS Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon C. Calhoun, Franck Cappello
2022	C	`conf`	Exploring Light-weight Cryptography for Efficient and Secure Lossy Data Compression. CLUSTER Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello
2022	B	`conf`	Hardening selective protection across multiple program inputs for HPC applications. PPoPP Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello
2022	A*	`conf`	Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. ICDE Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello
2022	A*	`conf`	MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics. ICDE Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello
2022	A	`conf`	Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs. SC Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello
2022	J	`jnl`	OptZConfig: Efficient Parallel Optimization of Lossy Compression Configuration. IEEE Trans. Parallel Distributed Syst. Robert Underwood, Jon C. Calhoun, Sheng Di, Amy W. Apon, Franck Cappello
2022	J	`jnl`	Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints. IEEE Trans. Parallel Distributed Syst. Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello
2022	A	`conf`	Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. IPDPS Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello
2022	J	`jnl`	Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. CoRR Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello
2022	J	`jnl`	ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography. CoRR Robert Underwood, Chun Hong Yoon, Ali Murat Gok, Sheng Di, Franck Cappello
2022	J	`jnl`	SIMD Lossy Compression for Scientific Data. CoRR Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon Calhoun, Franck Cappello
2022	J	`jnl`	SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets. CoRR Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
2022	J	`jnl`	Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data. Proc. VLDB Endow. Pu Jiao, Sheng Di, Hanqi Guo, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
2022	Misc	`conf`	Towards Efficient Cache Allocation for High-Frequency Checkpointing. HIPC Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Amr M. Elsayed, Thierry Tonellot, Franck Cappello
2022	A	`conf`	Ultrafast Error-bounded Lossy Compression for Scientific Datasets. HPDC Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
2022	—	`conf`	Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets. DRBSD@SC Zhaoyuan Su, Sheng Di, Ali Murat Gok, Yue Cheng, Franck Cappello
2022	—	`conf`	Understanding the Effects of Modern Compressors on the Community Earth Science Model. DRBSD@SC Robert Underwood, Julie Bessac, Sheng Di, Franck Cappello
2021	C	`conf`	Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer. CLUSTER Hongyuan Liu, Bogdan Nicolae, Sheng Di, Franck Cappello, Adwait Jog
2021	J	`jnl`	Demystifying asynchronous I/O Interference in HPC applications. Int. J. High Perform. Comput. Appl. Shu-Mei Tseng, Bogdan Nicolae, Franck Cappello, Aparna Chandramowlishwaran
2021	J	`jnl`	Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data. CoRR Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello
2021	C	`conf`	Exploring Autoencoder-based Error-bounded Compression for Scientific Data. CLUSTER Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello
2021	—	`conf`	Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets. DRBSD@SC David Krasowska, Julie Bessac, Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello
2021	J	`jnl`	FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks. IEEE Trans. Parallel Distributed Syst. Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen
2021	—	`conf`	Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques. IEEE BigData Jinyang Liu, Sihuan Li, Sheng Di, Xin Liang, Kai Zhao, Dingwen Tao, Zizhong Chen, Franck Cappello
2021	J	`jnl`	Improving Prediction-Based Lossy Compression Dramatically Via Ratio-Quality Modeling. CoRR Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello
2021	J	`jnl`	Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson
2021	A*	`conf`	Optimizing Error-Bounded Lossy Compression for Scientific Data by Dynamic Spline Interpolation. ICDE Kai Zhao, Sheng Di, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Zizhong Chen, Franck Cappello
2021	C	`conf`	Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. CLUSTER Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2021	Misc	`conf`	Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets. HiPC Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello
2021	—	`conf`	Productive and Performant Generic Lossy Data Compression with LibPressio. DRBSD@SC Robert Underwood, Victoriana Malvoso, Jon C. Calhoun, Sheng Di, Franck Cappello
2021	A	`conf`	Resilient error-bounded lossy compressor for data transfer. SC Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2021	A	`conf`	Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. IPDPS Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello
2021	J	`jnl`	SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. CoRR Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello
2021	J	`jnl`	SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. CoRR Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello
2021	A	`conf`	Sentiment Analysis based Error Detection for Large-Scale Systems. DSN Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Franck Cappello, Edward Chuah
2021	J	`jnl`	Towards Aggregated Asynchronous Checkpointing. CoRR Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun, Franck Cappello, Melissa C. Smith
2021	—	`conf`	Towards Combining Error-bounded Lossy Compression and Cryptography for Scientific Data. HPEC Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello
2021	B	`conf`	Towards Efficient I/O Scheduling for Collaborative Multi-Level Checkpointing. MASCOTS Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Thierry Tonellot, Franck Cappello
2021	—	`conf`	Towards High Performance Resilience Using Performance Portable Abstractions. Euro-Par Nicolas M. Morales, Keita Teranishi, Bogdan Nicolae, Christian Trott, Franck Cappello
2021	—	`conf`	Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis. DRBSD@SC Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello
2021	J	`jnl`	VELOC: VEry Low Overhead Checkpointing in the Age of Exascale. CoRR Bogdan Nicolae, Adam Moody, Gregory Kosinovsky, Kathryn M. Mohror, Franck Cappello
2021	J	`jnl`	cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. CoRR Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2021	C	`conf`	cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions. CLUSTER Xiaodong Yu, Sheng Di, Ali Murat Gok, Dingwen Tao, Franck Cappello
2020	J	`jnl`	Algorithm-Based Fault Tolerance for Convolutional Neural Networks. CoRR Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen
2020	C	`conf`	DeepClone: Lightweight State Replication of Deep Learning Models for Data Parallel Training. CLUSTER Bogdan Nicolae, Justin M. Wozniak, Matthieu Dorier, Franck Cappello
2020	B	`conf`	DeepFreeze: Towards Scalable Asynchronous Checkpointing of Deep Learning Models. CCGRID Bogdan Nicolae, Jiali Li, Justin M. Wozniak, George Bosilca, Matthieu Dorier, Franck Cappello
2020	A	`conf`	FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data. IPDPS Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello
2020	J	`jnl`	FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data. CoRR Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello
2020	B	`conf`	Fulfilling the Promises of Lossy Compression for Scientific Applications. SMC Franck Cappello, Sheng Di, Ali Murat Gok
2020	—	`conf`	Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning. IPDPS Workshops Tonmoy Dey, Kento Sato, Bogdan Nicolae, Jian Guo, Jens Domke, Weikuan Yu, Franck Cappello, Kathryn M. Mohror
2020	J	`jnl`	Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data. IEEE Trans. Parallel Distributed Syst. Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Haijun Zhang, Sheng Di, Dingwen Tao, Franck Cappello
2020	J	`jnl`	Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. CoRR Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello
2020	J	`jnl`	SDC Resilient Error-bounded Lossy Compressor. CoRR Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2020	—	`conf`	SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. IEEE BigData Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello
2020	A	`conf`	Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization. HPDC Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, Franck Cappello
2020	B	`conf`	Toward Feature-Preserving 2D and 3D Vector Field Compression. PacificVis Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka
2020	C	`conf`	Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression. CLUSTER Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2020	B	`conf`	cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. PACT Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello
2020	J	`jnl`	cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. CoRR Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello
2020	B	`conf`	waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data. PPoPP Jiannan Tian, Sheng Di, Chengming Zhang, Xin Liang, Sian Jin, Dazhao Cheng, Dingwen Tao, Franck Cappello
2019	Misc	`conf`	Accelerating Relative-error Bounded Lossy Compression for HPC datasets with Precomputation-Based Mechanisms. MSST Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Sheng Di, Dingwen Tao, Franck Cappello
2019	A	`conf`	Characterizing and Understanding HPC Job Failures Over The 2K-Day Life of IBM BlueGene/Q System. DSN Sheng Di, Hanqi Guo, Eric Pershey, Marc Snir, Franck Cappello
2019	A	`conf`	DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. HPDC Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello
2019	J	`jnl`	DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. CoRR Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello
2019	J	`jnl`	Efficient Lossy Compression for Scientific Data Based on Pointwise Relative Error Bound. IEEE Trans. Parallel Distributed Syst. Sheng Di, Dingwen Tao, Xin Liang, Franck Cappello
2019	J	`jnl`	Exploring Properties and Correlations of Fatal Events in a Large-Scale HPC System. IEEE Trans. Parallel Distributed Syst. Sheng Di, Hanqi Guo, Rinku Gupta, Eric Pershey, Marc Snir, Franck Cappello
2019	J	`jnl`	Exploring the feasibility of lossy compression for PDE simulations. Int. J. High Perform. Comput. Appl. Jon C. Calhoun, Franck Cappello, Luke N. Olson, Marc Snir, William D. Gropp
2019	A	`conf`	FT-iSort: efficient fault tolerance for introsort. SC Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, Zizhong Chen
2019	A	`conf`	Full-state quantum circuit simulation by using data compression. SC Xin-Chuan Wu, Sheng Di, Emma Maitreyee Dasgupta, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong
2019	C	`conf`	Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. CLUSTER Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Bogdan Nicolae, Zizhong Chen, Franck Cappello
2019	J	`jnl`	Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP. IEEE Trans. Parallel Distributed Syst. Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2019	A	`conf`	Significantly improving lossy compression quality based on an optimized hybrid prediction model. SC Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck Cappello
2019	—	`conf`	Towards Portable Online Prediction of Network Utilization Using MPI-Level Monitoring. Euro-Par Shu-Mei Tseng, Bogdan Nicolae, George Bosilca, Emmanuel Jeannot, Aparna Chandramowlishwaran, Franck Cappello
2019	J	`jnl`	Use cases of lossy compression for floating-point data in scientific data sets. Int. J. High Perform. Comput. Appl. Franck Cappello, Sheng Di, Sihuan Li, Xin Liang, Ali Murat Gok, Dingwen Tao, Chun Hong Yoon, Xin-Chuan Wu, Yuri Alexeev, Frederic T. Chong
2019	A	`conf`	VeloC: Towards High Performance Adaptive Asynchronous Checkpointing at Large Scale. IPDPS Bogdan Nicolae, Adam Moody, Elsa Gonsiorowski, Kathryn M. Mohror, Franck Cappello
2019	J	`jnl`	Z-checker: A framework for assessing lossy compression of scientific data. Int. J. High Perform. Comput. Appl. Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello
2018	J	`jnl`	Amplitude-Aware Lossy Compression for Quantum Circuit Simulation. CoRR Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong
2018	C	`conf`	An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound. CLUSTER Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, Franck Cappello
2018	J	`jnl`	Big data and extreme-scale computing. Int. J. High Perform. Comput. Appl. Mark Asch, Terry Moore, Rosa M. Badia, Micah D. Beck, Peter H. Beckman, T. Bidot, François Bodin, Franck Cappello, Alok N. Choudhary, Bronis R. de Supinski, Ewa Deelman, Jack J. Dongarra, Anshu Dubey, Geoffrey C. Fox, H. Fu, Sergi Girona, William Gropp, Michael A. Heroux, Yutaka Ishikawa, Katarzyna Keahey, David E. Keyes, Bill Kramer, J.-F. Lavignon, Y. Lu, Satoshi Matsuoka, Bernd Mohr, Daniel A. Reed, S. Requena, Joel H. Saltz, Thomas C. Schulthess, Rick L. Stevens, D. Martin Swany, Alexander S. Szalay, William M. Tang, Gaël Varoquaux, Jean-Pierre Vilotte, Robert W. Wisniewski, Z. Xu, Igor Zacharov
2018	—	`conf`	CEBDA 2018 Keynote. IPDPS Workshops Franck Cappello
2018	J	`jnl`	Coping with silent and fail-stop errors at scale by combining replication and checkpointing. J. Parallel Distributed Comput. Anne Benoit, Aurélien Cavelan, Franck Cappello, Padma Raghavan, Yves Robert, Hongyang Sun
2018	—	`conf`	Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood
2018	—	`conf`	Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets. IEEE BigData Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, Franck Cappello
2018	J	`jnl`	Exploring the capabilities of support vector machines in detecting silent data corruptions. Sustain. Comput. Informatics Syst. Omer Subasi, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman S. Unsal, Jesús Labarta, Adrián Cristal, Sriram Krishnamoorthy, Franck Cappello
2018	C	`conf`	Fixed-PSNR Lossy Compression for Scientific Data. CLUSTER Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018	J	`jnl`	Fixed-PSNR Lossy Compression for Scientific Data. CoRR Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018	J	`jnl`	Improving Performance of Iterative Methods by Lossy Checkponting. CoRR Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018	A	`conf`	Improving performance of iterative methods by lossy checkponting. HPDC Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018	—	`conf`	La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers. EGPGV@EuroVis Hanqi Guo, Sheng Di, Rinku Gupta, Tom Peterka, Franck Cappello
2018	J	`jnl`	Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression. CoRR Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong
2018	C	`conf`	Neural Network Based Silent Error Detector. CLUSTER Chen Wang, Nikoli Dryden, Franck Cappello, Marc Snir
2018	J	`jnl`	Optimization of Error-Bounded Lossy Compression for Hard-to-Compress HPC Data. IEEE Trans. Parallel Distributed Syst. Sheng Di, Franck Cappello
2018	J	`jnl`	Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP. CoRR Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018	—	`conf`	Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data. IEEE BigData Sihuan Li, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018	C	`conf`	PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry. CLUSTER Ali Murat Gok, Sheng Di, Yuri Alexeev, Dingwen Tao, Vladimir A. Mironov, Xin Liang, Franck Cappello
2018	—	`conf`	Parallel Partial Reduction for Large-Scale Data Analysis and Visualization. LDAV Wenbin He, Hanqi Guo, Tom Peterka, Sheng Di, Franck Cappello, Han-Wei Shen
2018	J	`jnl`	Transferring a petabyte in a day. Future Gener. Comput. Syst. Rajkumar Kettimuthu, Zhengchun Liu, David Wheeler, Ian T. Foster, Katrin Heitmann, Franck Cappello
2018	J	`jnl`	Unified fault-tolerance framework for hybrid task-parallel message-passing applications. Int. J. High Perform. Comput. Appl. Omer Subasi, Tatiana V. Martsinkevich, Ferad Zyulkyarov, Osman S. Unsal, Jesús Labarta, Franck Cappello
2017	—	`conf`	Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo
2017	C	`conf`	Detection of Silent Data Corruption in Adaptive Numerical Integration Solvers. CLUSTER Pierre-Louis Guhur, Emil M. Constantinescu, Debojyoti Ghosh, Tom Peterka, Franck Cappello
2017	B	`conf`	Evaluating irregular memory access on OpenCL FPGA platforms: A case study with XSBench. FPL Yingyi Luo, Xianshan Wen, Kazutomo Yoshii, Seda Ogrenci Memik, Gokhan Memik, Hal Finkel, Franck Cappello
2017	—	`conf`	Evaluation of a Floating-Point Intensive Kernel on FPGA - A Case Study of Geodesic Distance Kernel. Euro-Par Workshops Zheming Jin, Hal Finkel, Kazutomo Yoshii, Franck Cappello
2017	—	`conf`	Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets. ISC Workshops Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017	J	`jnl`	Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets. CoRR Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017	—	`conf`	Identifying the Right Replication Level to Detect and Correct Silent Errors at Scale. FTXS@HPDC Anne Benoit, Aurélien Cavelan, Franck Cappello, Padma Raghavan, Yves Robert, Hongyang Sun
2017	J	`jnl`	In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body Simulations. CoRR Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017	—	`conf`	In-depth exploration of single-snapshot lossy compression techniques for N-body simulations. IEEE BigData Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017	B	`conf`	LogAider: A tool for mining potential correlations of HPC log events. CCGrid Sheng Di, Rinku Gupta, Marc Snir, Eric Pershey, Franck Cappello
2017	C	`conf`	MACORD: Online Adaptive Machine Learning Framework for Silent Error Detection. CLUSTER Omer Subasi, Sheng Di, Prasanna Balaprakash, Osman S. Unsal, Jesús Labarta, Adrián Cristal, Sriram Krishnamoorthy, Franck Cappello
2017	A	`conf`	Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization. IPDPS Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017	J	`jnl`	Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization. CoRR Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017	J	`jnl`	Toward General Software Level Silent Data Corruption Detection for Parallel Applications. IEEE Trans. Parallel Distributed Syst. Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello
2017	J	`jnl`	Toward an Optimal Online Checkpoint Solution under a Two-Level HPC Checkpoint Model. IEEE Trans. Parallel Distributed Syst. Sheng Di, Yves Robert, Frédéric Vivien, Franck Cappello
2017	—	`conf`	Understanding and Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics. Euro-Par Workshops Franck Cappello, Rinku Gupta, Sheng Di, Emil M. Constantinescu, Thomas Peterka, Stefan M. Wild
2017	J	`jnl`	Z-checker: A Framework for Assessing Lossy Compression of Scientific Data. CoRR Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello
2016	J	`jnl`	Adaptive Impact-Driven Detection of Silent Data Corruption for HPC Applications. IEEE Trans. Parallel Distributed Syst. Sheng Di, Franck Cappello
2016	—	`conf`	DSN 2016 Tutorial: Resilience for Scientific Computing: From Theory to Practice. DSN Workshops Franck Cappello, George Bosilca
2016	J	`jnl`	Damaris: Addressing Performance Variability in Data Management for Post-Petascale Simulations. ACM Trans. Parallel Comput. Matthieu Dorier, Gabriel Antoniu, Franck Cappello, Marc Snir, Robert Sisneros, Orcun Yildiz, Shadi Ibrahim, Tom Peterka, Leigh Orf
2016	—	`conf`	Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications. Euro-Par Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello
2016	A	`conf`	Fast Error-Bounded Lossy HPC Data Compression with SZ. IPDPS Sheng Di, Franck Cappello
2016	—	`conf`	Lightweight and Accurate Silent Data Corruption Detection in Ordinary Differential Equation Solvers. Euro-Par Pierre-Louis Guhur, Hong Zhang, Tom Peterka, Emil M. Constantinescu, Franck Cappello
2016	J	`jnl`	Preface: Visualization and data analytics for scientific discovery. Parallel Comput. Hank Childs, Franck Cappello
2016	A	`conf`	Reducing Waste in Extreme Scale Systems through Introspective Analysis. IPDPS Leonardo Arturo Bautista-Gomez, Ana Gainaru, Swann Perarnau, Devesh Tiwari, Saurabh Gupta, Christian Engelmann, Franck Cappello, Marc Snir
2016	J	`jnl`	Self-Adaptive Density Estimation of Particle Data. SIAM J. Sci. Comput. Tom Peterka, Hadrien Croubois, Nan Li, Esteban Rangel, Franck Cappello
2016	B	`conf`	Spatial Support Vector Regression to Detect Silent Errors in the Exascale Era. CCGrid Omer Subasi, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman S. Ünsal, Jesús Labarta, Adrián Cristal, Franck Cappello
2015	—	`conf`	Addressing the Last Roadblock for Message Logging in HPC: Alleviating the Memory Requirement Using Dedicated Resources. Euro-Par Workshops Tatiana V. Martsinkevich, Thomas Ropars, Franck Cappello
2015	B	`conf`	An Efficient Silent Data Corruption Detection Method with Error-Feedback Control and Even Sampling for HPC Applications. CCGRID Sheng Di, Eduardo Berrocal, Franck Cappello
2015	C	`conf`	Detecting Silent Data Corruption for Extreme-Scale MPI Applications. EuroMPI Leonardo Arturo Bautista-Gomez, Franck Cappello
2015	C	`conf`	Detecting and Correcting Data Corruption in Stencil Applications through Multivariate Interpolation. CLUSTER Leonardo Arturo Bautista-Gomez, Franck Cappello
2015	C	`conf`	Distributed Monitoring and Management of Exascale Systems in the Argo Project. DAIS Swann Perarnau, Rajeev Thakur, Kamil Iskra, Ken Raffenetti, Franck Cappello, Rinku Gupta, Peter H. Beckman, Marc Snir, Henry Hoffmann, Martin Schulz, Barry Rountree
2015	—	`conf`	Exploiting Spatial Smoothness in HPC Applications to Detect Silent Data Corruption. HPCC/CSS/ICESS Leonardo Arturo Bautista-Gomez, Franck Cappello
2015	C	`conf`	Fault-Tolerant Protocol for Hybrid Task-Parallel Message-Passing Applications. CLUSTER Tatiana V. Martsinkevich, Omer Subasi, Osman S. Unsal, Franck Cappello, Jesús Labarta
2015	J	`jnl`	GloudSim: Google trace based cloud simulator with virtual machines. Softw. Pract. Exp. Sheng Di, Franck Cappello
2015	A	`conf`	Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications. HPDC Eduardo Berrocal, Leonardo Arturo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello
2015	—	`ed.`	Proceedings of the 5th Workshop on Fault Tolerance for HPC at eXtreme Scale, FTXS 2015, Portland, Oregon, USA, June 15, 2015 FTXS@HPDC Nathan DeBardeleben, Franck Cappello, Robert L. Clay
2015	A	`conf`	Scheduling the I/O of HPC Applications Under Congestion. IPDPS Ana Gainaru, Guillaume Aupy, Anne Benoit, Franck Cappello, Yves Robert, Marc Snir
2014	J	`jnl`	Adaptive Algorithm for Minimizing Cloud Task Length with Prediction Errors. IEEE Trans. Cloud Comput. Sheng Di, Cho-Li Wang, Franck Cappello
2014	J	`jnl`	Addressing failures in exascale computing. Int. J. High Perform. Comput. Appl. Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V. Adve, Saurabh Bagchi, Pavan Balaji, James F. Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan DeBardeleben, Pedro C. Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson, Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd S. Munson, Rob Schreiber, Jon Stearley, Eric Van Hensbergen
2014	—	`conf`	Analysis of the Tradeoffs Between Energy and Run Time for Multilevel Checkpointing. PMBS@SC Prasanna Balaprakash, Leonardo Arturo Bautista-Gomez, Mohamed-Slim Bouguerra, Stefan M. Wild, Franck Cappello, Paul D. Hovland
2014	J	`jnl`	Characterizing and modeling cloud applications/jobs on a Google data center. J. Supercomput. Sheng Di, Derrick Kondo, Franck Cappello
2014	B	`conf`	Detecting silent data corruption through data dynamic monitoring for scientific applications. PPoPP Leonardo Arturo Bautista-Gomez, Franck Cappello
2014	C	`conf`	Energy-performance tradeoffs in multilevel checkpoint strategies. CLUSTER Leonardo Arturo Bautista-Gomez, Prasanna Balaprakash, Mohamed-Slim Bouguerra, Stefan M. Wild, Franck Cappello, Paul D. Hovland
2014	A	`conf`	GPGPUs: How to combine high computational power with high reliability. DATE Leonardo Arturo Bautista-Gomez, Franck Cappello, Luigi Carro, Nathan DeBardeleben, Bo Fang, Sudhanva Gurumurthi, Karthik Pattabiraman, Paolo Rech, Matteo Sonza Reorda
2014	A	`conf`	Optimization of Multi-level Checkpoint Model for Large Scale HPC Applications. IPDPS Sheng Di, Mohamed-Slim Bouguerra, Leonardo Arturo Bautista-Gomez, Franck Cappello
2014	A	`conf`	Optimization of a Multilevel Checkpoint Model with Uncertain Execution Scales. SC Sheng Di, Leonardo Arturo Bautista-Gomez, Franck Cappello
2014	A	`ed.`	The 23rd International Symposium on High-Performance Parallel and Distributed Computing, HPDC'14, Vancouver, BC, Canada - June 23 - 27, 2014 HPDC Beth Plale, Matei Ripeanu, Franck Cappello, Dongyan Xu
2014	J	`jnl`	Toward Exascale Resilience: 2014 update. Supercomput. Front. Innov. Franck Cappello, Al Geist, William Gropp, Sanjay Kale, Bill Kramer, Marc Snir
2014	J	`jnl`	Unified model for assessing checkpointing protocols at extreme-scale. Concurr. Comput. Pract. Exp. George Bosilca, Aurélien Bouteiller, Elisabeth Brunet, Franck Cappello, Jack J. Dongarra, Amina Guermouche, Thomas Hérault, Yves Robert, Frédéric Vivien, Dounia Zaidouni
2013	A	`conf`	AI-Ckpt: leveraging memory access patterns for adaptive asynchronous incremental checkpointing. HPDC Bogdan Nicolae, Franck Cappello
2013	J	`jnl`	BlobCR: Virtual disk based checkpoint-restart for HPC applications on IaaS clouds. J. Parallel Distributed Comput. Bogdan Nicolae, Franck Cappello
2013	B	`conf`	Characterizing Cloud Applications on a Google Data Center. ICPP Sheng Di, Derrick Kondo, Franck Cappello
2013	B	`conf`	ECOFIT: A Framework to Estimate Energy Consumption of Fault Tolerance Protocols for HPC Applications. CCGRID Mohammed el Mehdi Diouri, Olivier Glück, Laurent Lefèvre, Franck Cappello
2013	J	`jnl`	Failure prediction for HPC systems and applications: Current situation and open issues. Int. J. High Perform. Comput. Appl. Ana Gainaru, Franck Cappello, Marc Snir, William Kramer
2013	—	`conf`	HPCS 2013 panel: The era of exascale sciences: Challenges, needs and requirements. HPCS Franck Cappello, Wolfgang Gentzsch, Mateo Valero, Mads Nygård
2013	—	`conf`	Improving floating point compression through binary masks. IEEE BigData Leonardo Arturo Bautista-Gomez, Franck Cappello
2013	A	`conf`	Improving the Computing Efficiency of HPC Systems Using a Combination of Proactive and Preventive Checkpointing. IPDPS Mohamed-Slim Bouguerra, Ana Gainaru, Leonardo Arturo Bautista-Gomez, Franck Cappello, Satoshi Matsuoka, Naoya Maruyama
2013	—	`conf`	Multi-criteria Checkpointing Strategies: Response-Time versus Resource Utilization. Euro-Par Aurélien Bouteiller, Franck Cappello, Jack J. Dongarra, Amina Guermouche, Thomas Hérault, Yves Robert
2013	A	`conf`	Optimization of cloud task processing with checkpoint-restart mechanism. SC Sheng Di, Yves Robert, Frédéric Vivien, Derrick Kondo, Cho-Li Wang, Franck Cappello
2013	—	`ed.`	Proceedings of the 3rd Workshop on Fault-tolerance for HPC at extreme scale, jointly held with the 22nd International Symposium on High-Performance Parallel and Distributed Computing, HPDC'13, New York, NY, USA, June 18, 2013 FTXS Nathan DeBardeleben, Jon Stearley, Franck Cappello
2013	A	`conf`	SPBC: leveraging the characteristics of MPI HPC applications for scalable checkpointing. SC Thomas Ropars, Tatiana V. Martsinkevich, Amina Guermouche, André Schiper, Franck Cappello
2013	J	`jnl`	Scalable data management for map-reduce-based data-intensive applications: a view for cloud and hybrid infrastructures. Int. J. Cloud Comput. Gabriel Antoniu, Alexandru Costan, Julien Bigot, Frédéric Desprez, Gilles Fedak, Sylvain Gault, Christian Pérez, Anthony Simonet, Bing Tang, Christophe Blanchet, Raphael Terreux, Luc Bougé, François Briant, Franck Cappello, Kate Keahey, Bogdan Nicolae, Frédéric Suter
2013	B	`conf`	Towards an energy estimator for fault tolerance protocols. PPoPP Mohammed el Mehdi Diouri, Olivier Glück, Laurent Lefèvre, Franck Cappello
2012	A	`conf`	A hybrid local storage transfer scheme for live migration of I/O intensive workloads. HPDC Bogdan Nicolae, Franck Cappello
2012	C	`conf`	Damaris: How to Efficiently Leverage Multicore Parallelism to Achieve Scalable, Jitter-free I/O. CLUSTER Matthieu Dorier, Gabriel Antoniu, Franck Cappello, Marc Snir, Leigh Orf
2012	—	`conf`	Energy considerations in checkpointing and fault tolerance protocols. DSN Workshops Mohammed el Mehdi Diouri, Olivier Glück, Laurent Lefèvre, Franck Cappello
2012	A	`conf`	Fault prediction under the microscope: a closer look into HPC systems. SC Ana Gainaru, Franck Cappello, Marc Snir, William Kramer
2012	C	`conf`	Hierarchical Clustering Strategies for Fault Tolerance in Large Scale HPC Systems. CLUSTER Leonardo Arturo Bautista-Gomez, Thomas Ropars, Naoya Maruyama, Franck Cappello, Satoshi Matsuoka
2012	J	`jnl`	HydEE, vers un protocole de recouvrement arrière hiérarchique pour les machines exascales. De l'exploitation du déterminisme des émissions dans les protocoles de recouvrement arrière. Tech. Sci. Informatiques Amina Guermouche, Thomas Ropars, Franck Cappello
2012	A	`conf`	HydEE: Failure Containment without Event Logging for Large Scale Send-Deterministic MPI Applications. IPDPS Amina Guermouche, Thomas Ropars, Marc Snir, Franck Cappello
2012	—	`conf`	Scalable Reed-Solomon-Based Reliable Local Storage for HPC Applications on IaaS Clouds. Euro-Par Leonardo Arturo Bautista-Gomez, Bogdan Nicolae, Naoya Maruyama, Franck Cappello, Satoshi Matsuoka
2012	A	`conf`	Taming of the Shrew: Modeling the Normal and Faulty Behaviour of Large-scale HPC Systems. IPDPS Ana Gainaru, Franck Cappello, William Kramer
2011	A	`conf`	BlobCR: efficient checkpoint-restart for HPC applications on IaaS clouds using virtual disk image snapshots. SC Bogdan Nicolae, Franck Cappello
2011	Misc	`conf`	Comparing archival policies for Blue Waters. HiPC Franck Cappello, Mathias Jacquelin, Loris Marchal, Yves Robert, Marc Snir
2011	—	`conf`	DPDNS Keynote. IPDPS Workshops Franck Cappello
2011	—	`conf`	Event Log Mining Tool for Large Scale HPC Systems. Euro-Par (1) Ana Gainaru, Franck Cappello, Stefan Trausan-Matu, Bill Kramer
2011	A	`conf`	FTI: high performance fault tolerance interface for hybrid systems. SC Leonardo Arturo Bautista-Gomez, Seiji Tsuboi, Dimitri Komatitsch, Franck Cappello, Naoya Maruyama, Satoshi Matsuoka
2011	A	`conf`	Modeling and tolerating heterogeneous failures in large parallel systems. SC Eric Martin Heien, Derrick Kondo, Ana Gainaru, Dan Lapine, Bill Kramer, Franck Cappello
2011	—	`conf`	On the Use of Cluster-Based Partial Message Logging to Improve Fault Tolerance for MPI HPC Applications. Euro-Par (1) Thomas Ropars, Amina Guermouche, Bora Uçar, Esteban Meneses, Laxmikant V. Kalé, Franck Cappello
2011	—	`conf`	Optimizing Multi-deployment on Clouds by Means of Self-adaptive Prefetching. Euro-Par (1) Bogdan Nicolae, Franck Cappello, Gabriel Antoniu
2011	J	`jnl`	Preventive Migration vs. Preventive Checkpointing for Extreme Scale Supercomputers. Parallel Process. Lett. Franck Cappello, Henri Casanova, Yves Robert
2011	J	`jnl`	QCG-OMPI: MPI applications on grids. Future Gener. Comput. Syst. Emmanuel Agullo, Camille Coti, Thomas Hérault, Julien Langou, Sylvain Peyronnet, Ala Rezmerita, Franck Cappello, Jack J. Dongarra
2011	J	`jnl`	The International Exascale Software Project roadmap. Int. J. High Perform. Comput. Appl. Jack J. Dongarra, Peter H. Beckman, Terry Moore, Patrick Aerts, Giovanni Aloisio, Jean-Claude Andre, David Barkai, Jean-Yves Berthou, Taisuke Boku, Bertrand Braunschweig, Franck Cappello, Barbara M. Chapman, Xuebin Chi, Alok N. Choudhary, Sudip S. Dosanjh, Thom H. Dunning, Sandro Fiore, Al Geist, Bill Gropp, Robert J. Harrison, Mark Hereld, Michael A. Heroux, Adolfy Hoisie, Koh Hotta, Zhong Jin, Yutaka Ishikawa, Fred Johnson, Sanjay Kale, Richard Kenway, David E. Keyes, Bill Kramer, Jesús Labarta, Alain Lichnewsky, Thomas Lippert, Bob Lucas, Barney Maccabe, Satoshi Matsuoka, Paul Messina, Peter Michielse, Bernd Mohr, Matthias S. Müller, Wolfgang E. Nagel, Hiroshi Nakashima, Michael E. Papka, Daniel A. Reed, Mitsuhisa Sato, Edward Seidel, John Shalf, David Skinner, Marc Snir, Thomas L. Sterling, Rick Stevens, Frederick H. Streitz, Bob Sugar, Shinji Sumimoto, William M. Tang, John A. Taylor, Rajeev Thakur, Anne E. Trefethen, Mateo Valero, Aad J. van der Steen, Jeffrey S. Vetter, Peg Williams, Robert W. Wisniewski, Katherine A. Yelick
2011	A	`conf`	Uncoordinated Checkpointing Without Domino Effect for Send-Deterministic MPI Applications. IPDPS Amina Guermouche, Thomas Ropars, Elisabeth Brunet, Marc Snir, Franck Cappello
2010	B	`conf`	Checkpointing vs. Migration for Post-Petascale Supercomputers. ICPP Franck Cappello, Henri Casanova, Yves Robert
2010	B	`conf`	Distributed Diskless Checkpoint for Large Scale Systems. CCGRID Leonardo Arturo Bautista-Gomez, Naoya Maruyama, Franck Cappello, Satoshi Matsuoka
2010	Misc	`conf`	Low-overhead diskless checkpoint for hybrid computing systems. HiPC Leonardo Arturo Bautista-Gomez, Akira Nukada, Naoya Maruyama, Franck Cappello, Satoshi Matsuoka
2010	B	`conf`	On Communication Determinism in Parallel HPC Applications. ICCCN Franck Cappello, Amina Guermouche, Marc Snir
2010	B	`conf`	Planning Large Data Transfers in Institutional Grids. CCGRID Fatiha Bouabache, Thomas Hérault, Sylvain Peyronnet, Franck Cappello
2010	J	`jnl`	Special section: Peer-to-peer grid technologies. Future Gener. Comput. Syst. Ching-Hsien Hsu, Hai Jin, Franck Cappello
2009	—	`conf`	09191 Abstracts Collection - Fault Tolerance in High-Performance Computing and Grids. Fault Tolerance in High-Performance Computing and Grids Franck Cappello, Laxmikant V. Kalé, Frank Mueller, Keshav Pingali, Alexander Reinefeld
2009	B	`ed.`	9th IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2009, Shanghai, China, 18-21 May 2009 CCGRID Franck Cappello, Cho-Li Wang, Rajkumar Buyya
2009	—	`conf`	An Information Brokering Service Provider (IBSP) for Virtual Clusters. OTM Conferences (1) Roberto Podestá, Victor Iniesta, Ala Rezmerita, Franck Cappello
2009	B	`conf`	BLAST Application with Data-Aware Desktop Grid Middleware. CCGRID Haiwu He, Gilles Fedak, Bing Tang, Franck Cappello
2009	J	`jnl`	BitDew: A data management and distribution service with multi-protocol file transfer and metadata abstraction. J. Netw. Comput. Appl. Gilles Fedak, Haiwu He, Franck Cappello
2009	J	`jnl`	Checkpointing vs. Migration for Post-Petascale Machines CoRR Franck Cappello, Henri Casanova, Yves Robert
2009	A	`conf`	Cost-benefit analysis of Cloud Computing versus desktop grids. IPDPS Derrick Kondo, Bahman Javadi, Paul Malecot, Franck Cappello, David P. Anderson
2009	—	`ed.`	Fault Tolerance in High-Performance Computing and Grids, 03.05. - 08.05.2009 Fault Tolerance in High-Performance Computing and Grids Franck Cappello, Laxmikant V. Kalé, Frank Mueller, Keshav Pingali, Alexander Reinefeld
2009	J	`jnl`	Fault Tolerance in Petascale/ Exascale Systems: Current Knowledge, Challenges and Research Opportunities. Int. J. High Perform. Comput. Appl. Franck Cappello
2009	J	`jnl`	Foreword. Parallel Comput. Franck Cappello, Thomas Hérault, Jack J. Dongarra
2009	J	`jnl`	Hierarchical Replication Techniques to Ensure Checkpoint Storage Reliability in Grid Environment. J. Interconnect. Networks Fatiha Bouabache, Thomas Hérault, Gilles Fedak, Franck Cappello
2009	—	`conf`	High accuracy failure injection in parallel and distributed systems using virtualization. Conf. Computing Frontiers Thomas Hérault, Thomas Largillier, Sylvain Peyronnet, Benjamin Quétier, Franck Cappello, Mathieu Jan
2009	—	`conf`	MPI Applications on Grids: A Topology Aware Approach. Euro-Par Camille Coti, Thomas Hérault, Franck Cappello
2009	J	`jnl`	The International Exascale Software Project: a Call To Cooperative Action By the Global High-Performance Community. Int. J. High Perform. Comput. Appl. Jack J. Dongarra, Peter H. Beckman, Patrick Aerts, Franck Cappello, Thomas Lippert, Satoshi Matsuoka, Paul Messina, Terry Moore, Rick Stevens, Anne E. Trefethen, Mateo Valero
2009	J	`jnl`	Toward Exascale Resilience. Int. J. High Perform. Comput. Appl. Franck Cappello, Al Geist, Bill Gropp, Laxmikant V. Kalé, Bill Kramer, Marc Snir
2008	—	`conf`	A File Transfer Service with Client/Server, P2P and Wide Area Storage Protocols. Globe Gilles Fedak, Haiwu He, Franck Cappello
2008	A	`conf`	BitDew: a programmable environment for large-scale data management and distribution. SC Gilles Fedak, Haiwu He, Franck Cappello
2008	J	`jnl`	Blocking vs. non-blocking coordinated checkpointing for large-scale fault tolerant MPI Protocols. Future Gener. Comput. Syst. Darius Buntinas, Camille Coti, Thomas Hérault, Pierre Lemarinier, Laurence Pilard, Ala Rezmerita, Eric Rodriguez, Franck Cappello
2008	—	`conf`	Distributing and managing data on desktop grids with BitDew. UPGRADE-CN Gilles Fedak, Haiwu He, Franck Cappello
2008	Misc	`conf`	Emulation platform for high accuracy failure injection in grids. High Performance Computing Workshop Thomas Hérault, Mathieu Jan, Thomas Largillier, Sylvain Peyronnet, Benjamin Quétier, Franck Cappello
2008	—	`conf`	Fault Tolerance for PetaScale Systems: Current Knowledge, Challenges and Opportunities. PVM/MPI Franck Cappello
2008	B	`conf`	Grid Services for MPI. CCGRID Camille Coti, Thomas Hérault, Sylvain Peyronnet, Ala Rezmerita, Franck Cappello
2008	B	`conf`	Hierarchical Replication Techniques to Ensure Checkpoint Storage Reliability in Grid Environment. CCGRID Fatiha Bouabache, Thomas Hérault, Gilles Fedak, Franck Cappello
2008	C	`conf`	Hierarchical replication techniques to ensure checkpoint storage reliability in grid environment. AICCSA Fatiha Bouabache, Thomas Hérault, Gilles Fedak, Franck Cappello
2008	J	`jnl`	Integrating Computing Resources on Multiple Grid-Enabled Job Scheduling Systems Through a Grid RPC System. J. Grid Comput. Yoshihiro Nakajima, Mitsuhisa Sato, Yoshiaki Aida, Taisuke Boku, Franck Cappello
2008	—	`conf`	OpenWP: Combining annotation language and workflow environments for porting existing applications on grids. GRID Matthieu Cargnelli, Guillaume Alléon, Franck Cappello
2007	—	`conf`	A Distributed and Replicated Service for Checkpoint Storage. CoreGRID Workshop - Making Grids Work Fatiha Bouabache, Thomas Hérault, Gilles Fedak, Franck Cappello
2007	—	`conf`	Characterizing Result Errors in Internet Desktop Grids. Euro-Par Derrick Kondo, Filipe Araújo, Paul Malecot, Patrício Domingues, Luís Moura Silva, Gilles Fedak, Franck Cappello
2007	J	`jnl`	Characterizing resource availability in enterprise desktop grids. Future Gener. Comput. Syst. Derrick Kondo, Gilles Fedak, Franck Cappello, Andrew A. Chien, Henri Casanova
2007	—	`conf`	Grid Services for MPI. PVM/MPI Camille Coti, Ala Rezmerita, Thomas Hérault, Franck Cappello
2007	—	`ed.`	Recent Advances in Parallel Virtual Machine and Message Passing Interface, 14th European PVM/MPI User's Group Meeting, Paris, France, September 30 - October 3, 2007, Proceedings PVM/MPI Franck Cappello, Thomas Hérault, Jack J. Dongarra
2007	J	`jnl`	Scalability Comparison of Four Host Virtualization Tools. J. Grid Comput. Benjamin Quétier, Vincent Néri, Franck Cappello
2007	B	`conf`	Toward an International "Computer Science Grid". CCGRID Franck Cappello, Henri E. Bal
2007	C	`conf`	Towards an International Computer Science Grid. WETICE Franck Cappello
2007	J	`jnl`	Towards efficient data distribution on computational desktop grids with BitTorrent. Future Gener. Comput. Syst. Baohua Wei, Gilles Fedak, Franck Cappello
2007	—	`conf`	Virtual Parallel Machines Through Virtualization: Impact on MPI Executions. PVM/MPI Benjamin Quétier, Thomas Hérault, Vincent Néri, Franck Cappello
2006	—	`conf`	Availability Traces of Enterprise Desktop Grids. GRID Derrick Kondo, Gilles Fedak, Franck Cappello, Andrew A. Chien, Henri Casanova
2006	Misc	`conf`	Computer Science Grids. High Performance Computing Workshop Franck Cappello, Henri E. Bal
2006	J	`jnl`	Editorial: Special Issue on Global and Peer-to-Peer Computing. J. Grid Comput. Franck Cappello, Adriana Iamnitchi, Mitsuhisa Sato
2006	C	`conf`	FAIL-MPI: How Fault-Tolerant Is Fault-Tolerant MPI? CLUSTER William Hoarau, Pierre Lemarinier, Thomas Hérault, Eric Rodriguez, Sébastien Tixeuil, Franck Cappello
2006	J	`jnl`	Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed. Int. J. High Perform. Comput. Appl. Raphael Bolze, Franck Cappello, Eddy Caron, Michel J. Daydé, Frédéric Desprez, Emmanuel Jeannot, Yvon Jégou, Stéphane Lanteri, Julien Leduc, Nouredine Melab, Guillaume Mornet, Raymond Namyst, Pascale Primet, Benjamin Quétier, Olivier Richard, El-Ghazali Talbi, Iréa Touche
2006	J	`jnl`	Hybrid Preemptive Scheduling of Message Passing Interface Applications on Grids. Int. J. High Perform. Comput. Appl. Aurélien Bouteiller, Hinde-Lilia Bouziane, Thomas Hérault, Pierre Lemarinier, Franck Cappello
2006	B	`conf`	Integrating Computing Resources on Multiple Grid-enabled Job Scheduling Systems Through a Grid RPC System. CCGRID Yoshihiro Nakajima, Mitsuhisa Sato, Yoshiaki Aida, Taisuke Boku, Franck Cappello
2006	A	`conf`	MPI tools and performance studies - Blocking vs. non-blocking coordinated checkpointing for large-scale fault tolerant MPI. SC Camille Coti, Thomas Hérault, Pierre Lemarinier, Laurence Pilard, Ala Rezmerita, Eric Rodriguez, Franck Cappello
2006	J	`jnl`	MPICH-V Project: A Multiprotocol Automatic Fault-Tolerant MPI. Int. J. High Perform. Comput. Appl. Aurélien Bouteiller, Thomas Hérault, Géraud Krawezik, Pierre Lemarinier, Franck Cappello
2006	B	`conf`	On Resource Volatility in Enterprise Desktop Grids. e-Science Derrick Kondo, Gilles Fedak, Franck Cappello, Andrew A. Chien, Henri Casanova
2006	J	`jnl`	Performance comparison of MPI and OpenMP on shared memory multiprocessors. Concurr. Comput. Pract. Exp. Géraud Krawezik, Franck Cappello
2006	—	`conf`	Private Virtual Cluster: Infrastructure and Protocol for Instant Grids. Euro-Par Ala Rezmerita, Tangui Morlier, Vincent Néri, Franck Cappello
2006	B	`conf`	Towards Soft Real-Time Applications on Enterprise Desktop Grids. CCGRID Derrick Kondo, Bruno Kindarji, Gilles Fedak, Franck Cappello
2005	J	`jnl`	An algorithmic model for heterogeneous hyper-clusters: rationale and experience. Int. J. Found. Comput. Sci. Franck Cappello, Pierre Fraigniaud, Bernard Mans, Arnold L. Rosenberg
2005	C	`conf`	Collaborative Data Distribution with BitTorrent for Computational Desktop Grids. ISPDC Baohua Wei, Gilles Fedak, Franck Cappello
2005	J	`jnl`	Computing on large-scale distributed systems: XtremWeb architecture, programming models, security, tests and convergence with grid. Future Gener. Comput. Syst. Franck Cappello, Samir Djilali, Gilles Fedak, Thomas Hérault, Frédéric Magniette, Vincent Néri, Oleg Lodygensky
2005	—	`conf`	Grid'5000: a large scale and highly reconfigurable grid experimental testbed. GRID Franck Cappello, Eddy Caron, Michel J. Daydé, Frédéric Desprez, Yvon Jégou, Pascale Vicat-Blanc Primet, Emmanuel Jeannot, Stéphane Lanteri, Julien Leduc, Nouredine Melab, Guillaume Mornet, Raymond Namyst, Benjamin Quétier, Olivier Richard
2005	A	`conf`	Impact of Event Logger on Causal Message Logging Protocols for Fault Tolerant MPI. IPDPS Aurélien Bouteiller, Boris Collin, Thomas Hérault, Pierre Lemarinier, Franck Cappello
2005	—	`conf`	Scheduling independent tasks sharing large data distributed with BitTorrent. GRID Baohua Wei, Gilles Fedak, Franck Cappello
2004	J	`jnl`	Coordinated checkpoint versus message log for fault tolerant MPI. Int. J. High Perform. Comput. Netw. Pierre Lemarinier, Aurélien Bouteiller, Géraud Krawezik, Franck Cappello
2004	—	`conf`	Hybrid Preemptive Scheduling of MPI Applications on the Grids. GRID Aurélien Bouteiller, Hinde-Lilia Bouziane, Thomas Hérault, Pierre Lemarinier, Franck Cappello
2004	C	`conf`	Improved message logging versus improved coordinated checkpointing for fault tolerant MPI. CLUSTER Pierre Lemarinier, Aurélien Bouteiller, Thomas Hérault, Géraud Krawezik, Franck Cappello
2004	A	`conf`	RPC-V: Toward Fault-Tolerant RPC for Internet Connected Desktop Grids with Volatile Nodes. SC Samir Djilali, Thomas Hérault, Oleg Lodygensky, Tangui Morlier, Gilles Fedak, Franck Cappello
2003	J	`jnl`	Augernome & XtremWeb: Monte Carlos computation on a global computing platform CoRR Oleg Lodygensky, Gilles Fedak, Vincent Néri, Alain Cordier, Franck Cappello
2003	C	`conf`	Coordinated Checkpoint versus Message Log for Fault Tolerant MPI. CLUSTER Aurélien Bouteiller, Pierre Lemarinier, Géraud Krawezik, Franck Cappello
2003	A	`conf`	MPICH-V2: a Fault Tolerant MPI for Volatile Nodes based on Pessimistic Sender Based Message Logging. SC Aurélien Bouteiller, Franck Cappello, Thomas Hérault, Géraud Krawezik, Pierre Lemarinier, Frédéric Magniette
2003	—	`conf`	Topic Introduction. Euro-Par Luc Bougé, Franck Cappello, Omer F. Rana, Bernard Traversat
2003	B	`conf`	XtremWeb & Condor sharing resources between Internet connected Condor pools. CCGRID Oleg Lodygensky, Gilles Fedak, Franck Cappello, Vincent Néri, Miron Livny, Douglas Thain
2002	J	`jnl`	MPI ou MPI+OpenMP sur grappes de multiprocesseurs? Tech. Sci. Informatiques Franck Cappello, Daniel Etiemble
2002	—	`conf`	MPICH-CM: A Communication Library Design for a P2P MPI Implementation. PVM/MPI Anton Selikhov, George Bosilca, Cécile Germain, Gilles Fedak, Franck Cappello
2002	A	`conf`	MPICH-V: toward a scalable fault tolerant MPI for volatile nodes. SC George Bosilca, Aurélien Bouteiller, Franck Cappello, Samir Djilali, Gilles Fedak, Cécile Germain, Thomas Hérault, Pierre Lemarinier, Oleg Lodygensky, Frédéric Magniette, Vincent Néri, Anton Selikhov
2002	J	`jnl`	OVM: Out-of-order execution parallel virtual machine. Future Gener. Comput. Syst. George Bosilca, Gilles Fedak, Franck Cappello
2002	—	`conf`	SPMD OpenMP versus MPI on a IBM SMP for 3 Kernels of the NAS Benchmarks. ISHPC Géraud Krawezik, Guillaume Alléon, Franck Cappello
2001	—	`conf`	Global Computing Systems. LSSC Cécile Germain, Gilles Fedak, Vincent Néri, Franck Cappello
2001	A	`conf`	HiHCoHP: Toward a Realistic Communication Model for Hierarchical HyperClusters of Heterogeneous Processors. IPDPS Franck Cappello, Pierre Fraigniaud, Bernard Mans, Arnold L. Rosenberg
2001	B	`conf`	OVM: Out-of-Order Execution Parallel Virtual Machine. CCGRID George Bosilca, Gilles Fedak, Franck Cappello
2001	J	`jnl`	Understanding performance of SMP clusters running MPI programs. Future Gener. Comput. Syst. Franck Cappello, Olivier Richard, Daniel Etiemble
2001	B	`conf`	XtremWeb: A Generic Global Computing System. CCGRID Gilles Fedak, Cécile Germain, Vincent Néri, Franck Cappello
2000	A*	`conf`	Investigating the Performance of Two Programming Models for Clusters of SMP PCs. HPCA Franck Cappello, Olivier Richard, Daniel Etiemble
2000	A	`conf`	MPI versus MPI+OpenMP on IBM SP for the NAS Benchmarks. SC Franck Cappello, Daniel Etiemble
2000	—	`conf`	XtremWeb: Building an Experimental Platform for Global Computing. GRID Cécile Germain, Vincent Néri, Gilles Fedak, Franck Cappello
1999	—	`conf`	A Client/Broker/Server Substrate with µs Round-Trip Overhead. Euro-Par Olivier Richard, Franck Cappello
1999	—	`conf`	Performance Characteristics of a Network of Commodity Multiprocessors for the NAS Benchmarks Using a Hybrid Memory Model. IEEE PACT Franck Cappello, Olivier Richard
1999	Misc	`conf`	Performance Evaluation of Two Programming Models for a Cluster of PC Biprocessors. PDPTA Franck Cappello, Olivier Richard, Daniel Etiemble
1999	B	`conf`	Performance of the NAS Benchmarks on a Cluster of SMP PCs Using a Parallelization of the MPI Programs with OpenMP. PaCT Franck Cappello, Olivier Richard, Daniel Etiemble
1998	—	`conf`	On the Self-Similar Nature of Workstations and WWW Servers Workload. Euro-Par Olivier Richard, Franck Cappello
1997	B	`conf`	Communications in Parallel Architectures and Networks of Workstations: From Standardisation to New Standards. PaCT Franck Cappello, Daniel Etiemble
1995	J	`jnl`	The Static Network: A High Performance Reconfigurable Communication Network. Parallel Process. Lett. Cécile Germain, Franck Cappello
1995	A*	`conf`	Toward High Communication Performance through Compiled Communications on a Circuit Switched Interconnection Network. HPCA Franck Cappello, Cécile Germain
1993	—	`conf`	A Parralel Architecture Based on Compiled Communication Schemes. PARCO Franck Cappello, Jean-Luc Béchennec, Franck Delaplace, Damien Gautier de Lahaut, Cécile Germain, Jean-Louis Giavitto, Vincent Néri, Daniel Etiemble
1993	—	`conf`	Balanced Distributed Memory Parallel Computers. ICPP (1) Franck Cappello, Jean-Luc Béchennec, Franck Delaplace, Cécile Germain, Jean-Louis Giavitto, Vincent Néri, Daniel Etiemble
1993	J	`jnl`	Hardware features of the static communication network of a parallel architecture. Microprocess. Microprogramming Vincent Néri, Jean-Luc Béchennec, Franck Cappello, Daniel Etiemble
1993	C	`conf`	Static computation of standard linear algebra subroutines for PTAH. PDP E. Daugeras, Jean-Luc Béchennec, Franck Cappello
1992	J	`jnl`	Data layouts impacts on the compilation of the communications for a synchronous MSIMD machine. Microprocess. Microprogramming Franck Delaplace, Franck Cappello
1992	J	`jnl`	Design of the processing node of the PTAH 64 parallel computer. Microprocess. Microprogramming Franck Cappello, Jean-Luc Béchennec, J.-L. Glavitto
1992	—	`conf`	PTAH: Introduction to a New Parallel Architecture for Highly Numeric Processing. PARLE Franck Cappello, Jean-Luc Béchennec, Jean-Louis Giavitto
1991	J	`jnl`	3D hardware packages for parallel architectures. Microprocessing and Microprogramming Jean-Luc Béchennec, Franck Cappello, Daniel Etiemble
1990	J	`jnl`	A risc central processing unit for a massivelly parallel architecture. Microprocessing and Microprogramming Franck Cappello, Jean-Luc Béchennec, Daniel Etiemble