Articles by Franck Cappello

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QPET: A Versatile and Portable Quantity-of-Interest-preservation Framework for Error-Bounded Lossy Compression

3 March 2025 by Jinyang Liu and others

Databases, Computational Engineering, Finance, and Science

EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants

27 February 2025 by Franck Cappello and others

Artificial Intelligence

ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression

25 February 2025 by Jiajun Huang and others

Distributed, Parallel, and Cluster Computing

A Survey on Error-Bounded Lossy Compression for Scientific Datasets

21 February 2025 by Sheng Di and others at

Argonne National Laboratory

Distributed, Parallel, and Cluster Computing

CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation

16 February 2025 by Ziyue Liu and others

Machine Learning, Artificial Intelligence

PSZ: Enhancing the SZ Scientific Lossy Compressor With Progressive Data Retrieval

7 February 2025 by Zhuoxun Yang and others

Distributed, Parallel, and Cluster Computing

TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs

8 December 2024 by Shixun Wu and others

Distributed, Parallel, and Cluster Computing

To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O

30 October 2024 by Grant Wilkins and others

Distributed, Parallel, and Cluster Computing

Deep Optimizer States: Towards Scalable Training of Transformer Models Using Interleaved Offloading

26 October 2024 by Avinash Maurya and others

Machine Learning, Artificial Intelligence

DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership

14 October 2024 by Shixun Wu and others

Distributed, Parallel, and Cluster Computing

cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation

1 October 2024 by Jinyang Liu and others

Distributed, Parallel, and Cluster Computing

High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation

25 September 2024 by Jinyang Liu and others

Distributed, Parallel, and Cluster Computing, Computational Engineering, Finance, and Science

FRSZ2 for In-Register Block Compression Inside GMRES on GPUs

23 September 2024 by Thomas Grützmacher and others

Performance, Data Structures and Algorithms

HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data

21 August 2024 by Tripti Agarwal and others

Distributed, Parallel, and Cluster Computing

FT K-means: A High-Performance K-means on GPU with Fault Tolerance

7 August 2024 by Shixun Wu and others

Distributed, Parallel, and Cluster Computing, Machine Learning

Constructing Level Sets Using Smoothed Approximate Bayesian Computation

8 July 2024 by David Edwards and others

Methodology, Computation

Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers

15 June 2024 by Avinash Maurya and others

Distributed, Parallel, and Cluster Computing

DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models

15 June 2024 by Avinash Maurya and others

Distributed, Parallel, and Cluster Computing, Machine Learning

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters

6 May 2024 by Jiajun Huang and others

Distributed, Parallel, and Cluster Computing

TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU

3 May 2024 by Shixun Wu and others

Distributed, Parallel, and Cluster Computing

FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications

24 April 2024 by Grant Wilkins and others at

Argonne National Laboratory

Distributed, Parallel, and Cluster Computing

Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets

23 March 2024 by Robert Underwood and others

Machine Learning, Artificial Intelligence

An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression

17 January 2024 by Jiajun Huang and others

Distributed, Parallel, and Cluster Computing

SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks

6 November 2023 by Jinyang Liu and others at

Argonne National Laboratory

Machine Learning, Distributed, Parallel, and Cluster Computing

Dynamic Quality Metric Oriented Error-bounded Lossy Compression for Scientific Datasets

21 October 2023 by Jinyang Liu and others

Distributed, Parallel, and Cluster Computing

Exploring Autoencoder-based Error-bounded Compression for Scientific Data

21 October 2023 by Jinyang Liu and others

Machine Learning, Artificial Intelligence

AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications

13 July 2023 by Daoce Wang and others

Distributed, Parallel, and Cluster Computing

Optimizing Scientific Data Transfer on Globus with Error-bounded Lossy Compression

11 July 2023 by Yuanjian Liu and others

Distributed, Parallel, and Cluster Computing, Databases

Black-Box Statistical Prediction of Lossy Compression Ratios for Scientific Data

15 May 2023 by Robert Underwood and others

Distributed, Parallel, and Cluster Computing, Information Theory

GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs

2 May 2023 by Boyuan Zhang and others

Distributed, Parallel, and Cluster Computing

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Distributed, Parallel, and Cluster Computing Information Theory Machine Learning Databases Artificial Intelligence Computational Engineering, Finance, and Science Quantum Physics Emerging Technologies Instrumentation and Methods for Astrophysics Performance Applications Computer Vision and Pattern Recognition Computational Complexity Other Computer Science