Bogdan Nicolae

137 papers A* 1A 24B 20C 11Misc 6Journal 35Unranked 31

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	—	`conf`	PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference. EACL (Findings) Krishna Teja Chitty-Venkata, Jie Ye, Siddhisanket Raskar, Anthony Kougkas, Xian-He Sun, Murali Emani, Venkatram Vishwanath, Bogdan Nicolae
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	—	`conf`	Understanding LLM Checkpoint/Restore I/O Strategies and Patterns. SCA/HPC Asia Workshops Mikaila J. Gossman, Avinash Maurya, Bogdan Nicolae, Jon Calhoun
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`	Characterizing the Behavior and Impact of KV Caching on Transformer Inferences Under Concurrency. IPDPS Jie Ye, Jaime Cernuda, Avinash Maurya, Xian-He Sun, Anthony Kougkas, Bogdan Nicolae
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	A	`conf`	D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage. ICS Maxime Gonthier, Dante D. Sánchez-Gallegos, Haochen Pan, Bogdan Nicolae, Sicheng Zhou, Hai Duc Nguyen, Valérie Hayot-Sasson, J. Gregory Pauloski, Jesús Carretero, Kyle Chard, Ian T. Foster
2025	J	`jnl`	D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage. CoRR Maxime Gonthier, Dante D. Sánchez-Gallegos, Haochen Pan, Bogdan Nicolae, Sicheng Zhou, Hai Nguyen, Valérie Hayot-Sasson, J. Gregory Pauloski, Jesús Carretero, Kyle Chard, Ian T. Foster
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`	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	J	`jnl`	Efficient distributed continual learning for steering experiments in real-time. Future Gener. Comput. Syst. Thomas Bouvier, Bogdan Nicolae, Alexandru Costan, Tekin Bicer, Ian T. Foster, Gabriel Antoniu
2025	—	`conf`	Evaluating Expansion Memory for Optimizer State Offloading for Large Transformer Models. IPDPS (Workshops) Moiz Arif, Avinash Maurya, Sudharshan Vazhkudai, Bogdan Nicolae
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	A	`conf`	On Optimizing Checkpoint Restoration for HPC Applications: Leveraging Merkle Trees and Asynchronous I/O. HPDC Zackary Malkmus, Nigel Tan, Ian Lumsden, Kevin Assogba, M. Mustafa Rafique, Bogdan Nicolae, Michela Taufer
2025	J	`jnl`	PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference. CoRR Krishna Teja Chitty-Venkata, Jie Ye, Xian-He Sun, Anthony Kougkas, Murali Emani, Venkatram Vishwanath, Bogdan Nicolae
2025	J	`jnl`	Understanding LLM Checkpoint/Restore I/O Strategies and Patterns. CoRR Mikaila J. Gossman, Avinash Maurya, Bogdan Nicolae, Jon C. Calhoun
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`	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	B	`conf`	Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows. e-Science Bogdan Nicolae, Justin M. Wozniak, Tekin Bicer, Hai Nguyen, Parth Patel, Haochen Pan, Amal Gueroudji, Maxime Gonthier, Valérie Hayot-Sasson, Eliu A. Huerta, Kyle Chard, Ryan Chard, Matthieu Dorier, Nageswara S. V. Rao, Anees Al-Najjar, Alessandra Corsi, Ian T. Foster
2024	B	`conf`	Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers. CCGrid Thomas Bouvier, Bogdan Nicolae, Hugo Chaugier, Alexandru Costan, Ian T. Foster, Gabriel Antoniu
2024	J	`jnl`	Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers. CoRR Thomas Bouvier, Bogdan Nicolae, Hugo Chaugier, Alexandru Costan, Ian T. Foster, Gabriel Antoniu
2024	A	`conf`	EvoStore: Towards Scalable Storage of Evolving Learning Models. HPDC Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae
2024	—	`ed.`	Proceedings of the 14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, FlexScience2024, Pisa, Italy, June 3-4, 2024 FlexScience@HPDC Alexandru Costan, Bogdan Nicolae, Kento Sato
2024	J	`jnl`	Scalable I/O aggregation for asynchronous multi-level checkpointing. Future Gener. Comput. Syst. Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun
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	B	`conf`	Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network Models. ICPP Jie Ye, Jaime Cernuda, Neeraj Rajesh, Keith Bateman, Orcun Yildiz, Tom Peterka, Arnur Nigmetov, Dmitriy Morozov, Xian-He Sun, Anthony Kougkas, Bogdan Nicolae
2024	J	`jnl`	Wilkins: HPC In Situ Workflows Made Easy. CoRR Orcun Yildiz, Dmitriy Morozov, Arnur Nigmetov, Bogdan Nicolae, Tom Peterka
2023	—	`conf`	Asynchronous Multi-Level Checkpointing: An Enabler of Reproducibility using Checkpoint History Analytics. SC Workshops Kevin Assogba, Bogdan Nicolae, Hubertus Van Dam, M. Mustafa Rafique
2023	B	`conf`	Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP. e-Science Bogdan Nicolae, Tanzima Z. Islam, Robert B. Ross, Huub J. J. Van Dam, Kevin Assogba, Polina Shpilker, Mikhail Titov, Matteo Turilli, Tianle Wang, Ozgur O. Kilic, Shantenu Jha, Line C. Pouchard
2023	A	`conf`	DStore: A Lightweight Scalable Learning Model Repository with Fine-Grain Tensor-Level Access. ICS Meghana Madhyastha, Robert Underwood, Randal C. Burns, Bogdan Nicolae
2023	—	`conf`	Elastic deep learning through resilient collective operations. SC Workshops Jiali Li, George Bosilca, Aurelien Bouteiller, Bogdan Nicolae
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`	LowFive: In Situ Data Transport for High-Performance Workflows. IPDPS Tom Peterka, Dmitriy Morozov, Arnur Nigmetov, Orcun Yildiz, Bogdan Nicolae, Philip E. Davis
2023	—	`conf`	MPIGDB: A Flexible Debugging Infrastructure for MPI Programs. FlexScience@HPDC Robert Underwood, Bogdan Nicolae
2023	C	`conf`	Modeling Multi-Threaded Aggregated I/O for Asynchronous Checkpointing on HPC Systems. ISPDC Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun
2023	Misc	`conf`	Optimizing the Training of Co-Located Deep Learning Models Using Cache-Aware Staggering. HiPC Kevin Assogba, Bogdan Nicolae, M. Mustafa Rafique
2023	—	`ed.`	Proceedings of the 13th Workshop on AI and Scientific Computing at Scale using Flexible Computing, FlexScience 2023, Orlando, FL, USA, 20 June 2023 FlexScience@HPDC Alexandru Costan, Bogdan Nicolae, Kento Sato
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	Misc	`conf`	Towards Efficient I/O Pipelines Using Accumulated Compression. HiPC Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Franck Cappello
2023	Misc	`conf`	Understanding Patterns of Deep Learning Model Evolution in Network Architecture Search. HiPC Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae
2023	J	`jnl`	Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search. CoRR Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae
2022	—	`ed.`	FlexScience '22: Proceedings of the 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, Minneapolis, MN, USA, 1 July 2022 FlexScience@HPDC Alexandru Costan, Bogdan Nicolae, Kento Sato
2022	A	`conf`	FlexScience'22: 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures. HPDC Alexandru Costan, Bogdan Nicolae, Kento Sato
2022	C	`conf`	Integrating process, control-flow, and data resiliency layers using a hybrid Fenix/Kokkos approach. CLUSTER Matthew Whitlock, Nicolas M. Morales, George Bosilca, Aurelien Bouteiller, Bogdan Nicolae, Keita Teranishi, Elisabeth Giem, Vivek Sarkar
2022	—	`conf`	Large Scale Caching and Streaming of Training Data for Online Deep Learning. FlexScience@HPDC Jie Liu, Bogdan Nicolae, Dong Li, Justin M. Wozniak, Tekin Bicer, Zhengchun Liu, Ian T. Foster
2022	B	`conf`	Lobster: Load Balance-Aware I/O for Distributed DNN Training. ICPP Jie Liu, Bogdan Nicolae, Dong Li
2022	—	`conf`	Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. WORKS@SC Ishan Abhinit, Emily K. Adams, Khairul Alam, Brian Chase, Ewa Deelman, Lev Gorenstein, Stephen Hudson, Tanzima Z. Islam, Jeffrey Larson, Geoffrey Lentner, Anirban Mandal, John-Luke Navarro, Bogdan Nicolae, Line Pouchard, Robert B. Ross, Banani Roy, Mats Rynge, Alexander Serebrenik, Karan Vahi, Stefan M. Wild, Yufeng Xin, Rafael Ferreira da Silva, Rosa Filgueira
2022	A	`conf`	Scalable Multi-Versioning Ordered Key-Value Stores with Persistent Memory Support. IPDPS Bogdan Nicolae
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	B	`conf`	Towards Low-Overhead Resilience for Data Parallel Deep Learning. CCGRID Bogdan Nicolae, Tanner Hobson, Orcun Yildiz, Tom Peterka, Dmitriy Morozov
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	B	`conf`	Braid-DB: Toward AI-Driven Science with Machine Learning Provenance. SMC Justin M. Wozniak, Zhengchun Liu, Rafael Vescovi, Ryan Chard, Bogdan Nicolae, Ian T. Foster
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	—	`conf`	Dynamic Heterogeneous Task Specification and Execution for In Situ Workflows. WORKS Orcun Yildiz, Dmitriy Morozov, Bogdan Nicolae, Tom Peterka
2021	B	`conf`	High-Performance Ptychographic Reconstruction with Federated Facilities. SMC Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster
2021	J	`jnl`	High-Performance Ptychographic Reconstruction with Federated Facilities. CoRR Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster
2021	B	`conf`	Shared-Memory Communication for Containerized Workflows. CCGRID Tanner Hobson, Orcun Yildiz, Bogdan Nicolae, Jian Huang, Tom Peterka
2021	J	`jnl`	Towards Aggregated Asynchronous Checkpointing. CoRR Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun, Franck Cappello, Melissa C. Smith
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	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	C	`conf`	Virtual Log-Structured Storage for High-Performance Streaming. CLUSTER Ovidiu-Cristian Marcu, Alexandru Costan, Bogdan Nicolae, Gabriel Antoniu
2020	C	`conf`	CoSim: A Simulator for Co-Scheduling of Batch and On-Demand Jobs in HPC Datacenters. DS-RT Avinash Maurya, Bogdan Nicolae, Ishan Guliani, M. Mustafa Rafique
2020	B	`conf`	DataStates: Towards Lightweight Data Models for Deep Learning. SMC Bogdan Nicolae
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	—	`conf`	High-bypass Learning: Automated Detection of Tumor Cells That Significantly Impact Drug Response. MLHPC/AI4S@SC Justin M. Wozniak, Hyun Seung Yoo, Jamaludin Mohd-Yusof, Bogdan Nicolae, Nicholson T. Collier, Jonathan Ozik, Thomas S. Brettin, Rick Stevens
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
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	—	`ed.`	Proceedings of the 10th Workshop on Scientific Cloud Computing, ScienceCloud@HPDC 2019, Phoenix, AZ, USA, June 25, 2019 ScienceCloud@HPDC Bogdan Nicolae, Alexandru Costan, Dmitry Duplyakin, Ana Gainaru, Alexandru Uta, Carlos Costa
2019	—	`conf`	Session details: Session 1: Converged Computing Infrastructures. ScienceCloud@HPDC Bogdan Nicolae
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	J	`jnl`	Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY. IEEE Access Silvina Caíno-Lores, Jesús Carretero, Bogdan Nicolae, Orcun Yildiz, Tom Peterka
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	—	`conf`	Understanding Scalability and Fine-Grain Parallelism of Synchronous Data Parallel Training. MLHPC@SC Jiali Li, Bogdan Nicolae, Justin M. Wozniak, George Bosilca
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
2018	A	`conf`	KerA: Scalable Data Ingestion for Stream Processing. ICDCS Ovidiu-Cristian Marcu, Alexandru Costan, Gabriel Antoniu, María S. Pérez-Hernández, Bogdan Nicolae, Radu Tudoran, Stefano Bortoli
2018	J	`jnl`	Performance Model of MapReduce Iterative Applications for Hybrid Cloud Bursting. IEEE Trans. Parallel Distributed Syst. Francisco J. Clemente-Castelló, Bogdan Nicolae, Rafael Mayo, Juan Carlos Fernández
2018	—	`ed.`	Proceedings of the 9th Workshop on Scientific Cloud Computing, ScienceCloud@HPDC 2018, Tempe, AZ, USA, June 11, 2018 ScienceCloud@HPDC Alexandru Costan, Bogdan Nicolae, Dmitry Duplyakin, Gerald F. Lofstead II, Jai Dayal
2018	C	`conf`	Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models. BDCAT Silvina Caíno-Lores, Jesús Carretero, Bogdan Nicolae, Orcun Yildiz, Tom Peterka
2017	B	`conf`	Evaluation of Data Locality Strategies for Hybrid Cloud Bursting of Iterative MapReduce. CCGrid Francisco J. Clemente-Castelló, Bogdan Nicolae, M. Mustafa Rafique, Rafael Mayo, Juan Carlos Fernández
2017	B	`conf`	Exploring Shared State in Key-Value Store for Window-Based Multi-Pattern Streaming Analytics. CCGrid Ovidiu-Cristian Marcu, Radu Tudoran, Bogdan Nicolae, Alexandru Costan, Gabriel Antoniu, María S. Pérez-Hernández
2017	J	`jnl`	Leveraging Adaptive I/O to Optimize Collective Data Shuffling Patterns for Big Data Analytics. IEEE Trans. Parallel Distributed Syst. Bogdan Nicolae, Carlos H. A. Costa, Claudia Misale, Kostas Katrinis, Yoonho Park
2017	—	`conf`	Towards a unified storage and ingestion architecture for stream processing. IEEE BigData Ovidiu-Cristian Marcu, Alexandru Costan, Gabriel Antoniu, María S. Pérez-Hernández, Radu Tudoran, Stefano Bortoli, Bogdan Nicolae
2016	—	`conf`	Data Multiverse: The Uncertainty Challenge of Future Big Data Analytics. International KEYSTONE Conference Radu Tudoran, Bogdan Nicolae, Götz Brasche
2016	J	`jnl`	Guest Editors Introduction: Special Issue on Scientific Cloud Computing. IEEE Trans. Cloud Comput. Kate Keahey, Ioan Raicu, Kyle Chard, Bogdan Nicolae
2016	C	`conf`	On exploiting data locality for iterative mapreduce applications in hybrid clouds. BDCAT Francisco J. Clemente-Castelló, Bogdan Nicolae, Rafael Mayo, Juan Carlos Fernández, M. Mustafa Rafique
2016	—	`ed.`	Proceedings of the ACM 7th Workshop on Scientific Cloud Computing, ScienceCloud@HPDC 2016, Kyoto, Japan, June 1, 2016 ScienceCloud@HPDC Kyle Chard, Alexandru Costan, Bogdan Nicolae, Dongfang Zhao
2016	B	`conf`	Towards Memory-Optimized Data Shuffling Patterns for Big Data Analytics. CCGrid Bogdan Nicolae, Carlos H. A. Costa, Claudia Misale, Kostas Katrinis, Yoonho Park
2016	J	`jnl`	Towards scalable on-demand collective data access in IaaS clouds: An adaptive collaborative content exchange proposal. J. Parallel Distributed Comput. Bogdan Nicolae, Andrzej Kochut, Alexei A. Karve
2015	B	`conf`	Discovering and Leveraging Content Similarity to Optimize Collective on-Demand Data Access to IaaS Cloud Storage. CCGRID Bogdan Nicolae, Andrzej Kochut, Alexei A. Karve
2015	Misc	`conf`	Enabling Big Data Analytics in the Hybrid Cloud Using Iterative MapReduce. UCC Francisco J. Clemente-Castelló, Bogdan Nicolae, Kostas Katrinis, M. Mustafa Rafique, Rafael Mayo, Juan Carlos Fernández, Daniela Loreti
2015	A	`conf`	Leveraging Naturally Distributed Data Redundancy to Reduce Collective I/O Replication Overhead. IPDPS Bogdan Nicolae
2015	—	`ed.`	Proceedings of the 6th Workshop on Scientific Cloud Computing, ScienceCloud 2015, Portland, Oregon, USA, June 16, 2015 ScienceCloud@HPDC Kyle Chard, Alexandru Costan, Bogdan Nicolae, Lavanya Ramakrishnan
2015	—	`conf`	Techniques to improve the scalability of collective checkpointing at large scale. HPCS Bogdan Nicolae
2015	J	`jnl`	Towards Transparent Throughput Elasticity for IaaS Cloud Storage: Exploring the Benefits of Adaptive Block-Level Caching. Int. J. Distributed Syst. Technol. Bogdan Nicolae, Pierre Riteau, Kate Keahey
2015	B	`conf`	Towards efficient on-demand VM provisioning: Study of VM runtime I/O access patterns to shared image content. IM Andrzej Kochut, Alexei A. Karve, Bogdan Nicolae
2014	A	`conf`	Bursting the Cloud Data Bubble: Towards Transparent Storage Elasticity in IaaS Clouds. IPDPS Bogdan Nicolae, Pierre Riteau, Kate Keahey
2014	—	`conf`	Next Generation HPC Clouds: A View for Large-Scale Scientific and Data-Intensive Applications. Euro-Par Workshops (2) Dana Petcu, Horacio González-Vélez, Bogdan Nicolae, Juan Miguel García-Gómez, Elies Fuster-García, Craig Sheridan
2014	—	`ed.`	ScienceCloud'14, Proceedings of the 2014 ACM HPDC International Workshop on Scientific Cloud Computing, Vancouver, BC, Canada, June 23-27, 2014 ScienceCloud@HPDC Ioan Raicu, Kate Keahey, Kyle Chard, Bogdan Nicolae
2014	—	`conf`	To overlap or not to overlap: optimizing incremental MapReduce computations for on-demand data upload. DataCloud@SC Stefan Ene, Bogdan Nicolae, Alexandru Costan, Gabriel Antoniu
2014	Misc	`conf`	Transparent Throughput Elasticity for IaaS Cloud Storage Using Guest-Side Block-Level Caching. UCC Bogdan Nicolae, Pierre Riteau, Kate Keahey
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	—	`conf`	Leveraging Collaborative Content Exchange for On-Demand VM Multi-deployments in IaaS Clouds. Euro-Par Bogdan Nicolae, M. Mustafa Rafique
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	A	`conf`	Towards Scalable Checkpoint Restart: A Collective Inline Memory Contents Deduplication Proposal. IPDPS Bogdan Nicolae
2013	—	`conf`	Understanding Vertical Scalability of I/O Virtualization for MapReduce Workloads: Challenges and Opportunities. Euro-Par Workshops Bogdan Nicolae
2012	A	`conf`	A hybrid local storage transfer scheme for live migration of I/O intensive workloads. HPDC Bogdan Nicolae, 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	J	`jnl`	Towards scalable array-oriented active storage: the pyramid approach. ACM SIGOPS Oper. Syst. Rev. Viet-Trung Tran, Bogdan Nicolae, Gabriel Antoniu
2011	A	`conf`	BlobCR: efficient checkpoint-restart for HPC applications on IaaS clouds using virtual disk image snapshots. SC Bogdan Nicolae, Franck Cappello
2011	J	`jnl`	BlobSeer: Next-generation data management for large scale infrastructures. J. Parallel Distributed Comput. Bogdan Nicolae, Gabriel Antoniu, Luc Bougé, Diana Moise, Alexandra Carpen-Amarie
2011	B	`conf`	Efficient Support for MPI-I/O Atomicity Based on Versioning. CCGRID Viet-Trung Tran, Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
2011	A	`conf`	Going back and forth: efficient multideployment and multisnapshotting on clouds. HPDC Bogdan Nicolae, John Bresnahan, Kate Keahey, Gabriel Antoniu
2011	J	`jnl`	On the Benefits of Transparent Compression for Cost-Effective Cloud Data Storage. Trans. Large Scale Data Knowl. Centered Syst. Bogdan Nicolae
2011	—	`conf`	Optimizing Multi-deployment on Clouds by Means of Self-adaptive Prefetching. Euro-Par (1) Bogdan Nicolae, Franck Cappello, Gabriel Antoniu
2010	A	`conf`	BlobSeer: Bringing high throughput under heavy concurrency to Hadoop Map-Reduce applications. IPDPS Bogdan Nicolae, Diana Moise, Gabriel Antoniu, Luc Bougé, Matthieu Dorier
2010	—	`conf`	BlobSeer: Efficient data management for data-intensive applications distributed at large-scale. IPDPS Workshops Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
2010	—	`—`	BlobSeer: Towards efficient data storage management for large-scale, distributed systems. Bogdan Nicolae
2010	—	`conf`	High Throughput Data-Compression for Cloud Storage. Globe Bogdan Nicolae
2010	C	`conf`	Using Global Behavior Modeling to Improve QoS in Cloud Data Storage Services. CloudCom Jesús Montes, Bogdan Nicolae, Gabriel Antoniu, Alberto Sánchez, María S. Pérez
2009	J	`jnl`	BlobSeer: How to Enable Efficient Versioning for Large Object Storage under Heavy Access Concurrency CoRR Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
2009	—	`conf`	BlobSeer: how to enable efficient versioning for large object storage under heavy access concurrency. EDBT/ICDT Workshops Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
2009	—	`conf`	Enabling High Data Throughput in Desktop Grids through Decentralized Data and Metadata Management: The BlobSeer Approach. Euro-Par Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
2009	—	`conf`	Towards a Grid File System Based on a Large-Scale BLOB Management Service. CoreGRID@Euro-Par Viet-Trung Tran, Gabriel Antoniu, Bogdan Nicolae, Luc Bougé, Osamu Tatebe
2008	—	`conf`	Distributed Management of Massive Data: An Efficient Fine-Grain Data Access Scheme. VECPAR Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
2008	J	`jnl`	Distributed Management of Massive Data: an Efficient Fine-Grain Data Access Scheme CoRR Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
2008	J	`jnl`	Enabling Lock-Free Concurrent Fine-Grain Access to Massive Distributed Data: Application to Supernovae Detection CoRR Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
2008	C	`conf`	Enabling lock-free concurrent fine-grain access to massive distributed data: Application to supernovae detection. CLUSTER Bogdan Nicolae, Gabriel Antoniu, Luc Bougé