Zizhong Chen

206 papers A* 2A 53B 19C 15Misc 3Journal 79Unranked 35
YearRankTypeTitle / Venue / Authors
2026 B conf
COCCL: A Collective Communication Library Supporting Easy Integration and Configuration of Customized Compression for Scalable LLM Training.
PPoPP
Xingchen Liu, Haoran Kong, Hairui Zhao, Shengkai Lyu, Zheng Wei, Man Liu, Xingjian Tian, Liyang Zhao, Zhuohan Chen, Fakang Wang, Zizhong Chen, Zhan Wang, Guangming Tan, Dingwen Tao
2026 J jnl
V-ABFT: Variance-Based Adaptive Threshold for Fault-Tolerant Matrix Multiplication in Mixed-Precision Deep Learning.
CoRR
Yiheng Gao, Qin Hua, Zizhong Chen
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 A conf
FT-Transformer: Resilient and Reliable Transformer with End-to-End Fault Tolerant Attention.
SC
Huangliang Dai, Shixun Wu, Jiajun Huang, Zizhe Jian, Yue Zhu, Haiyang Hu, Zizhong Chen
2025 J jnl
FT-Transformer: Resilient and Reliable Transformer with End-to-End Fault Tolerant Attention.
CoRR
Huangliang Dai, Shixun Wu, Hairui Zhao, Jiajun Huang, Zizhe Jian, Yue Zhu, Haiyang Hu, Zizhong Chen
2025 — conf
FlexPipe: Maximizing Training Efficiency for Transformer-based Models with Variable-Length Inputs.
USENIX ATC
Hairui Zhao, Qi Tian, Hongliang Li, Zizhong Chen
2025 J jnl
GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set.
IEEE Trans. Neural Networks Learn. Syst.
Shuyin Xia, Cheng Wang, Guoyin Wang, Xinbo Gao, Weiping Ding, JianHang Yu, Yujia Zhai, Zizhong Chen
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
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 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
TurboFNO: High-Performance Fourier Neural Operator with Fused FFT-GEMM-iFFT on GPU.
SC
Shixun Wu, Yujia Zhai, Huangliang Dai, Yue Zhu, Haiyang Hu, Zizhong Chen
2025 J jnl
TurboFNO: High-Performance Fourier Neural Operator with Fused FFT-GEMM-iFFT on GPU.
CoRR
Shixun Wu, Yujia Zhai, Huangliang Dai, Hairui Zhao, Yue Zhu, Haiyang Hu, Zizhong Chen
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
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 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 J jnl
DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership.
CoRR
Shixun Wu, Krishnan Raghavan, Sheng Di, Zizhong Chen, Franck Cappello
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 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 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 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 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
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
Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques.
HPDC
Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur
2023 J jnl
Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques.
CoRR
Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur
2023 A conf
Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs.
ICS
Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Bryan M. Wong, Zizhong Chen
2023 J jnl
Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs.
CoRR
Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Bryan M. Wong, Zizhong Chen
2023 A conf
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs.
IPDPS
Yujia Zhai, Chengquan Jiang, Leyuan Wang, Xiaoying Jia, Shang Zhang, Zizhong Chen, Xin Liu, Yibo Zhu
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 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 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 J jnl
FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs.
IEEE Trans. Parallel Distributed Syst.
Yujia Zhai, Elisabeth Giem, Kai Zhao, Jinyang Liu, Jiajun Huang, Bryan M. Wong, Christian R. Shelton, Zizhong Chen
2023 A conf
FT-GEMM: A Fault Tolerant High Performance GEMM Implementation on x86 CPUs.
HPDC
Shixun Wu, Yujia Zhai, Jiajun Huang, Zizhe Jian, Zizhong Chen
2023 J jnl
FT-GEMM: A Fault Tolerant High Performance GEMM Implementation on x86 CPUs.
CoRR
Shixun Wu, Yujia Zhai, Jiajun Huang, Zizhe Jian, Zizhong Chen
2023 — conf
GBCloud: a Robust Cloud Model for Processing Multi-dimensional Data Using Granular-ball Computing.
ICMAI
Yuting Shi, Shuyin Xia, Zizhong Chen
2023 J jnl
GRRS: Accurate and Efficient Neighborhood Rough Set for Feature Selection.
IEEE Trans. Knowl. Data Eng.
Shuyin Xia, Shulin Wu, Xinxing Chen, Guoyin Wang, Xinbo Gao, Qinghua Zhang, Elisabeth Giem, Zizhong Chen
2023 J jnl
GreenMD: Energy-efficient Matrix Decomposition on Heterogeneous Multi-GPU Systems.
ACM Trans. Parallel Comput.
Hadi Zamani, Laxmi N. Bhuyan, Jieyang Chen, Zizhong Chen
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 B conf
Improving Energy Saving of One-Sided Matrix Decompositions on CPU-GPU Heterogeneous Systems.
PPoPP
Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi N. Bhuyan, Zizhong Chen
2023 J jnl
Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems.
CoRR
Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi N. Bhuyan, Zizhong Chen
2023 B conf
KF K-means: A High Performance K-means Implementation using Kernel Fusion.
IEEE Big Data
Kaiming Ouyang, Vincent Tran, Jinyang Liu, Bryan M. Wong, Zizhong Chen
2023 C conf
PiP-MColl: Process-in-Process-based Multi-object MPI Collectives.
CLUSTER
Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur
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
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 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 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 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
Accelerating Encrypted Computing on Intel GPUs.
IPDPS
Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky
2022 J jnl
An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation.
CoRR
Shuyin Xia, Xinyu Bai, Guoyin Wang, Deyu Meng, Xinbo Gao, Zizhong Chen, Elisabeth Giem
2022 J jnl
An adaptive and general model for label noise detection using relative probabilistic density.
Knowl. Based Syst.
Shuyin Xia, Longhai Huang, Guoyin Wang, Xinbo Gao, Yabin Shao, Zizhong Chen
2022 J jnl
Ball $k$k-Means: Fast Adaptive Clustering With No Bounds.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Elisabeth Giem, Wei Wei, Zizhong Chen
2022 J jnl
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs.
CoRR
Yujia Zhai, Chengquan Jiang, Leyuan Wang, Xiaoying Jia, Shang Zhang, Zizhong Chen, Xin Liu, Yibo Zhu
2022 J jnl
Double embedding and bidirectional sentiment dependence detector for aspect sentiment triplet extraction.
Knowl. Based Syst.
Dawei Dai, Tao Chen, Shuyin Xia, Guoyin Wang, Zizhong Chen
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 Soft-Error Detection for Low-precision Deep Learning Recommendation Models.
IEEE Big Data
Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen
2022 J jnl
GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification.
IEEE Trans. Knowl. Data Eng.
Shuyin Xia, Hao Zhang, Wenhua Li, Guoyin Wang, Elisabeth Giem, Zizhong Chen
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 J jnl
Multi-granularity Association Learning Framework for on-the-fly Fine-Grained Sketch-based Image Retrieval.
CoRR
Dawei Dai, Xiaoyu Tang, Shuyin Xia, Yingge Liu, Guoyin Wang, Zizhong Chen
2022 J jnl
Random Space Division Sampling for Label-Noisy Classification or Imbalanced Classification.
IEEE Trans. Cybern.
Shuyin Xia, Yong Zheng, Guoyin Wang, Ping He, Heng Li, Zizhong Chen
2022 J jnl
mCRF and mRD: Two Classification Methods Based on a Novel Multiclass Label Noise Filtering Learning Framework.
IEEE Trans. Neural Networks Learn. Syst.
Shuyin Xia, Baiyun Chen, Guoyin Wang, Yong Zheng, Xinbo Gao, Elisabeth Giem, Zizhong Chen
2021 — conf
A Fast Attribute Reduction Algorithm of Neighborhood Rough Set.
KST
Wenhua Li, Shuyin Xia, Zizhong Chen
2021 J jnl
Accelerating Encrypted Computing on Intel GPUs.
CoRR
Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky
2021 — conf
An Improved Genetic Algorithm Based on k-means.
ISEEIE
Caoxiao Li, Shuyin Xia, Jingcheng Fu, Zizhong Chen, Binggui Wang
2021 C conf
Daps: A Dynamic Asynchronous Progress Stealing Model for MPI Communication.
CLUSTER
Kaiming Ouyang, Min Si, Atsushi Hori, Zizhong Chen, Pavan Balaji
2021 J jnl
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models.
CoRR
Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen
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 J jnl
FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance.
CoRR
Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen
2021 A conf
FT-BLAS: a high performance BLAS implementation with online fault tolerance.
ICS
Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen
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
Fast k-means Clustering Based on the Neighbor Information.
ISEEIE
Daowan Peng, Zizhong Chen, Jingcheng Fu, Shuyin Xia, Qing Wen
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 — conf
Locality-aware Thread Block Design in Single and Multi-GPU Graph Processing.
NAS
Quan Fan, Zizhong Chen
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 J jnl
RSMOTE: A self-adaptive robust SMOTE for imbalanced problems with label noise.
Inf. Sci.
Baiyun Chen, Shuyin Xia, Zizhong Chen, Binggui Wang, Guoyin Wang
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 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
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 J jnl
Ball k-means.
CoRR
Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Zizhong Chen, Wei Wei
2020 A conf
CAB-MPI: exploring interprocess work-stealing towards balanced MPI communication.
SC
Kaiming Ouyang, Min Si, Atsushi Hori, Zizhong Chen, Pavan Balaji
2020 J jnl
Normalization of Input-output Shared Embeddings in Text Generation Models.
CoRR
Jinyang Liu, Yujia Zhai, Zizhong Chen
2020 A conf
SAOU: safe adaptive overclocking and undervolting for energy-efficient GPU computing.
ISLPED
Hadi Zamani, Devashree Tripathy, Laxmi N. Bhuyan, Zizhong Chen
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 J jnl
Weighted pseudometric approximation of 2-dimensional fuzzy numbers by fuzzy 2-cell prismoid numbers preserving the centroid.
Fuzzy Sets Syst.
Shexiang Hai, Zengtai Gong, Zizhong Chen
2019 — conf
A Multi-granularity Genetic Algorithm.
ICBK
Caoxiao Li, Shuyin Xia, Zizhong Chen, Guoyin Wang
2019 J jnl
Complete Random Forest Based Class Noise Filtering Learning for Improving the Generalizability of Classifiers.
IEEE Trans. Knowl. Data Eng.
Shuyin Xia, Guoyin Wang, Zizhong Chen, Yanlin Duan, Qun Liu
2019 B conf
Data Transfer between Scientific Facilities - Bottleneck Analysis, Insights and Optimizations.
CCGRID
Yuanlai Liu, Zhengchun Liu, Rajkumar Kettimuthu, Nageswara S. V. Rao, Zizhong Chen, Ian T. Foster
2019 B conf
Efficient concolic testing of MPI applications.
CC
Hongbo Li, Zizhong Chen, Rajiv Gupta
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
GreenMM: energy efficient GPU matrix multiplication through undervolting.
ICS
Hadi Zamani, Yuanlai Liu, Devashree Tripathy, Laxmi N. Bhuyan, Zizhong Chen
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 A conf
TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs.
ICS
Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, Zizhong Chen
2019 J jnl
Transferring Ensemble Representations Using Deep Convolutional Neural Networks for Small-Scale Image Classification.
IEEE Access
Shuyin Xia, Yulong Xia, Hong Yu, Qun Liu, Yueguo Luo, Guoyin Wang, Zizhong Chen
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 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 A conf
BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems.
ICDCS
Jieyang Chen, Qiang Guan, Zhao Zhang, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Patricia Grubel, Tim Randles, Zizhong Chen, James P. Ahrens
2018 — conf
Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere.
IEEE BigData
Jieyang Chen, Qiang Guan, Xin Liang, Paul Bryant, Patricia Grubel, Allen McPherson, Li-Ta Lo, Timothy Randles, Zizhong Chen, James Paul Ahrens
2018 A conf
COMPI: Concolic Testing for MPI Applications.
IPDPS
Hongbo Li, Sihuan Li, Zachary Benavides, Zizhong Chen, Rajiv Gupta
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 A conf
Fault tolerant one-sided matrix decompositions on heterogeneous systems with GPUs.
SC
Jieyang Chen, Hongbo Li, Sihuan Li, Xin Liang, Panruo Wu, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, Zizhong Chen
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
Non-intrusively Avoiding Scaling Problems in and out of MPI Collectives.
IPDPS Workshops
Hongbo Li, Zizhong Chen, Rajiv Gupta, Min Xie
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 A conf
Performance analysis and optimization of in-situ integration of simulation with data analysis: zipping applications up.
HPDC
Yuankun Fu, Feng Li, Fengguang Song, Zizhong Chen
2018 J jnl
Scaling Up Parallel Computation of Tiled QR Factorizations by a Distributed Scheduling Runtime System and Analytical Modeling.
Parallel Process. Lett.
Weijian Zheng, Fengguang Song, Lan Lin, Zizhong Chen
2018 — conf
The k-Means Forest Classifier for High Dimensional Data.
ICBK
Zizhong Chen, Xin Ding, Shuyin Xia, Baiyun Chen
2017 A conf
Correcting soft errors online in fast fourier transform.
SC
Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, Zizhong Chen
2017 J jnl
Docker-Enabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere.
CoRR
Jieyang Chen, Qiang Guan, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Zizhong Chen, James Paul Ahrens
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
HIPS Keynote.
IPDPS Workshops
Zizhong Chen
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 A conf
Parastack: efficient hang detection for MPI programs at large scale.
SC
Hongbo Li, Zizhong Chen, Rajiv Gupta
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 B conf
Silent Data Corruption Resilient Two-sided Matrix Factorizations.
PPoPP
Panruo Wu, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Jieyang Chen, Dingwen Tao, Xin Liang, Kaiming Ouyang, Zizhong Chen
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 A conf
Algorithm-Directed Data Placement in Explicitly Managed Non-Volatile Memory.
HPDC
Panruo Wu, Dong Li, Zizhong Chen, Jeffrey S. Vetter, Sparsh Mittal
2016 — conf
GPU-ABFT: Optimizing Algorithm-Based Fault Tolerance for Heterogeneous Systems with GPUs.
NAS
Jieyang Chen, Sihuan Li, Zizhong Chen
2016 A conf
GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing.
SC
Jieyang Chen, Li Tan, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi N. Bhuyan, Zizhong Chen
2016 A conf
New-Sum: A Novel Online ABFT Scheme For General Iterative Methods.
HPDC
Dingwen Tao, Shuaiwen Leon Song, Sriram Krishnamoorthy, Panruo Wu, Xin Liang, Eddy Z. Zhang, Darren J. Kerbyson, Zizhong Chen
2016 A conf
Online Algorithm-Based Fault Tolerance for Cholesky Decomposition on Heterogeneous Systems with GPUs.
IPDPS
Jieyang Chen, Xin Liang, Zizhong Chen
2016 J jnl
Scalable Energy Efficiency with Resilience for High Performance Computing Systems: A Quantitative Methodology.
ACM Trans. Archit. Code Optim.
Li Tan, Zizhong Chen, Shuaiwen Leon Song
2016 A conf
Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra.
HPDC
Panruo Wu, Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Dingwen Tao, Xin Liang, Jieyang Chen, Zizhong Chen
2016 B conf
suCAQR: A Simplified Communication-Avoiding QR Factorization Solver Using the TBLAS Framework.
ICPADS
Weijian Zheng, Fengguang Song, Lan Lin, Zizhong Chen
2015 — conf
Cholesky Factorization on Heterogeneous CPU and GPU Systems.
FCST
Jieyang Chen, Zizhong Chen
2015 J jnl
Fail-Stop Failure Algorithm-Based Fault Tolerance for Cholesky Decomposition.
IEEE Trans. Parallel Distributed Syst.
Doug Hakkarinen, Panruo Wu, Zizhong Chen
2015 A conf
Investigating the Interplay between Energy Efficiency and Resilience in High Performance Computing.
IPDPS
Li Tan, Shuaiwen Leon Song, Panruo Wu, Zizhong Chen, Rong Ge, Darren J. Kerbyson
2015 J jnl
Optimising MPI tree-based communication for NUMA architectures.
Int. J. Auton. Adapt. Commun. Syst.
Christer Karlsson, Zizhong Chen
2015 — conf
Simulated Annealing to Generate Numerically Stable Real Number Error Correction Codes.
HPCC/CSS/ICESS
Teresa Davies, Xin Liang, Jieyang Chen, Zizhong Chen
2015 B conf
Slow Down or Halt: Saving the Optimal Energy for Scalable HPC Systems.
ICPE
Li Tan, Zizhong Chen
2014 J jnl
A survey of power and energy efficient techniques for high performance numerical linear algebra operations.
Parallel Comput.
Li Tan, Shashank Kothapalli, Longxiang Chen, Omar Hussaini, Ryan Bissiri, Zizhong Chen
2014 B conf
Extending checksum-based ABFT to tolerate soft errors online in iterative methods.
ICPADS
Longxiang Chen, Dingwen Tao, Panruo Wu, Zizhong Chen
2014 A conf
FT-ScaLAPACK: correcting soft errors on-line for ScaLAPACK cholesky, QR, and LU factorization routines.
HPDC
Panruo Wu, Zizhong Chen
2014 Misc conf
HP-DAEMON: High Performance Distributed Adaptive Energy-efficient Matrix-multiplicatiON.
ICCS
Li Tan, Longxiang Chen, Zizhong Chen, Ziliang Zong, Rong Ge, Dong Li
2014 J jnl
Slow Down or Halt: Saving the Optimal Energy for Scalable HPC Systems.
CoRR
Li Tan, Zizhong Chen
2014 C conf
TOUGH2-PETSc: A Parallel Solver for TOUGH2.
PDCAT
Daniel Hathorn, Yushu Wu, Zizhong Chen
2014 — conf
TX: algorithmic energy saving for distributed dense matrix factorizations.
ScalA@SC
Li Tan, Zizhong Chen
2013 C conf
A2E: Adaptively aggressive energy efficient DVFS scheduling for data intensive applications.
IPCCC
Li Tan, Zizhong Chen, Ziliang Zong, Dong Li, Rong Ge
2013 A conf
Correcting soft errors online in LU factorization.
HPDC
Teresa Davies, Zizhong Chen
2013 — conf
Energy-Efficient Scheduling for Multicore Systems with Bounded Resources.
GreenCom/iThings/CPScom
Ziliang Zong, Jonathan Bush, Rong Ge, Xin Li, Zizhong Chen
2013 C conf
Improving performance and energy efficiency of matrix multiplication via pipeline broadcast.
CLUSTER
Li Tan, Longxiang Chen, Zizhong Chen, Ziliang Zong, Dong Li, Rong Ge
2013 J jnl
Multilevel Diskless Checkpointing.
IEEE Trans. Computers
Douglas Hakkarinen, Zizhong Chen
2013 J jnl
On-line soft error correction in matrix-matrix multiplication.
J. Comput. Sci.
Panruo Wu, Chong Ding, Longxiang Chen, Teresa Davies, Christer Karlsson, Zizhong Chen
2013 B conf
Online-ABFT: an online algorithm based fault tolerance scheme for soft error detection in iterative methods.
PPoPP
Zizhong Chen
2013 — conf
Power and energy characteristics of MapReduce data movements.
IGCC
Thomas Wirtz, Rong Ge, Ziliang Zong, Zizhong Chen
2013 A conf
Rethinking algorithm-based fault tolerance with a cooperative software-hardware approach.
SC
Dong Li, Zizhong Chen, Panruo Wu, Jeffrey S. Vetter
2012 — conf
Energy Efficient Parallel Matrix-Matrix Multiplication for DVFS-enabled Clusters.
ICPP Workshops
Longxiang Chen, Panruo Wu, Zizhong Chen, Rong Ge, Ziliang Zong
2012 — conf
Energy consumption analysis of parallel sorting algorithms running on multicore systems.
IGCC
Ivan Zecena, Ziliang Zong, Rong Ge, Tongdan Jin, Zizhong Chen, Meikang Qiu
2012 C conf
Optimizing Process-to-Core Mappings for Application Level Multi-dimensional MPI Communications.
CLUSTER
Christer Karlsson, Teresa Davies, Zizhong Chen
2012 C conf
Reduced Data Communication for Parallel CMA-ES for REACTS.
PDP
Douglas Hakkarinen, Tracy Camp, Zizhong Chen, Allan Haas
2012 — conf
Runtime Optimization of Broadcast Communications Using Dynamic Network Topology Information from MPI.
HPCC-ICESS
Jeffrey Godwin, Christer Karlsson, Zizhong Chen
2012 — conf
eTune: A Power Analysis Framework for Data-Intensive Computing.
ICPP Workshops
Rong Ge, Xizhou Feng, Thomas Wirtz, Ziliang Zong, Zizhong Chen
2011 — conf
Algorithm-Based Recovery for Newton's Method without Checkpointing.
IPDPS Workshops
Hui Liu, Teresa Davies, Chong Ding, Christer Karlsson, Zizhong Chen
2011 B conf
Algorithm-based recovery for HPL.
PPoPP
Teresa Davies, Zizhong Chen, Christer Karlsson, Hui Liu
2011 A conf
Algorithm-based recovery for iterative methods without checkpointing.
HPDC
Zizhong Chen
2011 — conf
Fault tolerant matrix-matrix multiplication: correcting soft errors on-line.
ScalA@SC
Panruo Wu, Chong Ding, Longxiang Chen, Feng Gao, Teresa Davies, Christer Karlsson, Zizhong Chen
2011 A conf
High performance linpack benchmark: a fault tolerant implementation without checkpointing.
ICS
Teresa Davies, Christer Karlsson, Hui Liu, Chong Ding, Zizhong Chen
2011 C conf
Matrix Multiplication on GPUs with On-Line Fault Tolerance.
ISPA
Chong Ding, Christer Karlsson, Hui Liu, Teresa Davies, Zizhong Chen
2011 B conf
Optimizing Process-to-Core Mappings for Two Dimensional Broadcast/Reduce on Multicore Architectures.
ICPP
Christer Karlsson, Teresa Davies, Chong Ding, Hui Liu, Zizhong Chen
2011 A conf
SRC: soft error detection and recovery for high performance linpack.
ICS
Teresa Davies, Zizhong Chen
2010 J jnl
Adaptive Checkpointing (Invited Paper).
J. Commun.
Zizhong Chen
2010 A conf
Algorithmic Cholesky factorization fault recovery.
IPDPS
Douglas Hakkarinen, Zizhong Chen
2010 A conf
Constructing numerically stable real number codes using evolutionary computation.
GECCO
Aaron Garrett, Zizhong Chen, Daniel Eric Smith
2010 — conf
Fault tolerant linear algebra: Recovering from fail-stop failures without checkpointing.
IPDPS Workshops
Teresa Davies, Zizhong Chen
2010 — conf
Highly scalable checkpointing for exascale computing.
IPDPS Workshops
Christer Karlsson, Zizhong Chen
2009 J jnl
Highly Scalable Self-Healing Algorithms for High Performance Scientific Computing.
IEEE Trans. Computers
Zizhong Chen, Jack J. Dongarra
2009 C conf
N-Level Diskless Checkpointing.
HPCC
Douglas Hakkarinen, Zizhong Chen
2009 A conf
Optimal real number codes for fault tolerant matrix operations.
SC
Zizhong Chen
2009 J jnl
Pipelining parallel image compositing and delivery for efficient remote visualization.
J. Parallel Distributed Comput.
Qishi Wu, Jinzhu Gao, Zizhong Chen, Mengxia Zhu
2008 — conf
A Scalable Checkpoint Encoding Algorithm for Diskless Checkpointing.
HASE
Zizhong Chen, Jack J. Dongarra
2008 J jnl
Algorithm-Based Fault Tolerance for Fail-Stop Failures.
IEEE Trans. Parallel Distributed Syst.
Zizhong Chen, Jack J. Dongarra
2008 J jnl
Condition Numbers of Gaussian Random Matrices
CoRR
Zizhong Chen, Jack J. Dongarra
2008 A conf
Extending algorithm-based fault tolerance to tolerate fail-stop failures in high performance distributed environments.
IPDPS
Zizhong Chen
2008 A conf
Performance of MPI broadcast algorithms.
IPDPS
Daniel M. Wadsworth, Zizhong Chen
2007 A conf
An Efficient Audio-Video Synchronization Methodology.
ICME
Ming Yang, Nikolaos G. Bourbakis, Zizhong Chen, Monica Trifas
2007 — conf
An efficient packet loss recovery methodology for video-over-IP.
SIP
Ming Yang, Nikolaos G. Bourbakis, Zizhong Chen, Guillermo A. Francia III
2007 J jnl
Recovery Patterns for Iterative Methods in a Parallel Unstable Environment.
SIAM J. Sci. Comput.
Julien Langou, Zizhong Chen, George Bosilca, Jack J. Dongarra
2007 A conf
Self Adaptive Application Level Fault Tolerance for Parallel and Distributed Computing.
IPDPS
Zizhong Chen, Ming Yang, Guillermo A. Francia III, Jack J. Dongarra
2006 A conf
Algorithm-based checkpoint-free fault tolerance for parallel matrix computations on volatile resources.
IPDPS
Zizhong Chen, Jack J. Dongarra
2006 J jnl
Self-adapting numerical software (SANS) effort.
IBM J. Res. Dev.
Jack J. Dongarra, George Bosilca, Zizhong Chen, Victor Eijkhout, Graham E. Fagg, Erika Fuentes, Julien Langou, Piotr Luszczek, Jelena Pjesivac-Grbovic, Keith Seymour, Haihang You, Sathish S. Vadhiyar
2005 J jnl
Condition Numbers of Gaussian Random Matrices.
SIAM J. Matrix Anal. Appl.
Zizhong Chen, Jack J. Dongarra
2005 B conf
Fault tolerant high performance computing by a coding approach.
PPoPP
Zizhong Chen, Graham E. Fagg, Edgar Gabriel, Julien Langou, Thara Angskun, George Bosilca, Jack J. Dongarra
2005 Misc conf
Numerically Stable Real Number Codes Based on Random Matrices.
International Conference on Computational Science (1)
Zizhong Chen, Jack J. Dongarra
2005 J jnl
Process Fault Tolerance: Semantics, Design and Applications for High Performance Computing.
Int. J. High Perform. Comput. Appl.
Graham E. Fagg, Edgar Gabriel, Zizhong Chen, Thara Angskun, George Bosilca, Jelena Pjesivac-Grbovic, Jack J. Dongarra
2004 — conf
The LAPACK for Clusters Project: An Example of Self Adapting Numerical Software.
HICSS
Zizhong Chen, Jack J. Dongarra, Piotr Luszczek, Kenneth Roche
2003 Misc conf
Self-Adapting Software for Numerical Linear Algebra Library Routines on Clusters.
International Conference on Computational Science
Zizhong Chen, Jack J. Dongarra, Piotr Luszczek, Kenneth Roche
2003 J jnl
Self-adapting software for numerical linear algebra and LAPACK for clusters.
Parallel Comput.
Zizhong Chen, Jack J. Dongarra, Piotr Luszczek, Kenneth Roche