Franck Cappello

Most-cited papers

cuSZp: An Ultra-Fast GPU Error-Bounded Lossy Compression Framework with Optimized End-to-End Performance
Yafan Huang, Sheng Di, Xiaodong Yu, Guan-Peng Li +1 more
2023International Conference for High Performance Computing, Networking, Storage and Analysis70 citations Open access
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DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models
Avinash Maurya, Robert Underwood, M. M. Rafique, Franck Cappello +1 more
2024IEEE International Symposium on High-Performance Parallel Distributed Computing57 citations Open access
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CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation
Zi-Yue Liu, Rui-Jie Zhang, Zhengyang Wang, Ming-Song Yan +6 more
2025Conference on Empirical Methods in Natural Language Processing30 citations
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Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing
Franck Cappello, Mario Acosta, E. Agullo, H. Anzt +16 more
2024Future generations computer systems22 citations Open access
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CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2
Shi-Hui Song, Yafan Huang, Peng Jiang, Xiao-Dong Yu +6 more
2024IEEE International Symposium on High-Performance Parallel Distributed Computing17 citations Open access
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Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling
Sian Jin, Sheng Di, F. Vivien, Daoce Wang +3 more
2024European Conference on Computer Systems17 citations Open access
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Deep Optimizer States: Towards Scalable Training of Transformer Models using Interleaved Offloading
Avinash Maurya, Jie Ye, M. M. Rafique, Franck Cappello +1 more
2024International Middleware Conference14 citations Open access
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EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants
Franck Cappello, Sandeep Madireddy, Robert Underwood, Neil Getty +22 more
2025arXiv.org10 citations
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Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers
Avinash Maurya, Jie Ye, M. M. Rafique, Franck Cappello +1 more
2024FlexScience@HPDC10 citations Open access
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Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication
Nigel Tan, Jakob Luettgau, Jack D. Marquez, K. Teranishi +5 more
2023International Conference on Parallel Processing10 citations Open access
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What to Support When You’re Compressing: The State of Practice Gaps and Opportunities for Scientific Data Compression
Franck Cappello, Robert Underwood, Yuri Alexeev, Allison Baker +28 more
2025International Conference on Software Composition9 citations Open access
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Pushing the Limits of GPU Lossy Compression: A Hierarchical Delta Approach
Boyuan Zhang, Yafan Huang, Sheng Di, Fengguang Song +2 more
2025International Conference on Supercomputing9 citations Open access
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MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall
Avinash Maurya, M. M. Rafique, Franck Cappello, Bogdan Nicolae
2025International Conference on Software Composition7 citations Open access
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GPU Lossy Compression for HPC Can Be Versatile and Ultra-Fast
Yafan Huang, Sheng Di, Guan-Peng Li, Franck Cappello
2025International Conference on Software Composition7 citations Open access
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ghZCCL: Advancing GPU-aware Collective Communications with Homomorphic Compression
Jia-Jun Huang, Sheng Di, Yafan Huang, Zizhong Chen +3 more
2025International Conference on Supercomputing7 citations Open access
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SWARM: Reimagining scientific workflow management systems in a distributed world
Prasanna Balaprakash, Krishnan Raghavan, Franck Cappello, Ewa Deelman +10 more
2025The international journal of high performance computing applications5 citations
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lsCOMP: Efficient Light Source Compression
Yafan Huang, Sheng Di, Robert Underwood, P. Myint +4 more
2025International Conference on Software Composition4 citations Open access
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A Portable, Fast, DCT-based Compressor for AI Accelerators
Milan Shah, Xiao-Dong Yu, Sheng Di, M. Becchi +1 more
2024IEEE International Symposium on High-Performance Parallel Distributed Computing4 citations
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Towards Affordable Reproducibility Using Scalable Capture and Comparison of Intermediate Multi-Run Results
Nigel Tan, Kevin Assogba, W. J. Ashworth, Befikir Bogale +4 more
2024International Middleware Conference4 citations Open access
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DataStates-LLM: Scalable Checkpointing for Transformer Models Using Composable State Providers
Avinash Maurya, M. M. Rafique, Franck Cappello, Bogdan Nicolae
2026IEEE Transactions on Parallel and Distributed Systems3 citations
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BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models
Zhengyang Wang, Zi-Yue Liu, Rui-Jie Zhang, Avinash Maurya +4 more
2025arXiv.org3 citations
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Streaming Hardware Compressor Generator Framework
Kazutomo Yoshii, Tomohiro Ueno, Kentaro Sano, A. Miceli +1 more
2023SC Workshops3 citations Open access
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OPAL: On-demand Progressive Accelerated Scientific Lossy Compression
Longtao Zhang, Ruoyu Li, Zhuoxun Yang, Robert Underwood +6 more
2026IEEE International Symposium on High-Performance Parallel Distributed Computing2 citations Open access
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Design and Implementation of a Custom Hardware Accelerator for SZx Compression in Chipyard
Connor Bohannon, Kazutomo Yohsii, Sheng Di, Franck Cappello +1 more
2025SC25-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis1 citations Open access
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Evaluation of Test-Time Compute Constraints on Safety and Skill Large Reasoning Models
Adarsha Balaji, Le Chen, Rajeev Thakur, Franck Cappello +1 more
2025SC25-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis1 citations Open access
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DTIO: Data Stack for AI-driven Workflows
Keith Bateman, Neeraj Rajesh, J. Cernuda, Luke Logan +4 more
2025International Conference on Statistical and Scientific Database Management1 citations Open access
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Lightweight CNN-Based Artifact Reduction for Scientific Error-bounded Lossy Compression
Zizhe Jian, Pu Jiao, Bohan Zhang, Sheng Di +5 more
2025SC25-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis1 citations Open access
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TZ: Achieving High-Ratio Scientific Data Compression on GPUs with Global Data Decomposition
Zhuoxun Yang, Ruoyu Li, A. Subrahmanya, Vishwas Rao +6 more
2026IEEE International Symposium on High-Performance Parallel Distributed Computing0 citations Open access
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Bridging Information Theory and Practice for Scientific Lossy Compression
Sujata Sinha, Sheng Di, Vishwas Rao, Robert Underwood +6 more
2026IEEE International Symposium on High-Performance Parallel Distributed Computing0 citations
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Designing Domain-Specific Compilers for Lossy Compression: A Case Study on Wafer-Scale Engine
Shi-Hui Song, Robert Underwood, Sheng Di, Peng Jiang +1 more
2026IEEE International Parallel and Distributed Processing Symposium0 citations
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EAIRA: Establishing a methodology for evaluating LLMs as scientific research assistants
Franck Cappello, Sandeep Madireddy, Robert Underwood, Neil Getty +22 more
2026The international journal of high performance computing applications0 citations
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DeepCQ: A Two-Stage Deep-Surrogate Framework for Lossy Compression Quality Prediction
Khondoker Mirazul Mumenin, Robert Underwood, Dong Dai, Jin-Zhen Wang +3 more
2026IEEE International Conference on Cluster Computing0 citations
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Report of the 2026 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science
L. McInnes, Dorian Arnold, Prasanna Balaprakash, M. Bernhardt +44 more
20260 citations Open access
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Towards Access Pattern Aware Checkpointing For Kokkos Applications.
Nigel Tan, Bogdan Nicolae, Nicolas Morales, K. Teranishi +3 more
2022Proposed for presentation at the SIAM Conference on Parallel Processing for Scientific Computing (PP22) held February 23-26, 2022 in Seattle (Virtual), Washington United States0 citations Open access
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