FC
Franck Cappello
cs.DCcs.LGcs.AIcs.ITcs.PFmath.ITcs.CEcs.DBastro-ph.IMcs.ET
On Valency
published · living versionsW_ah835e2s·v1 · currentpublished
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks
with Kai Zhao, Sheng Di, Sihuan Li, Xin Liang +4
1 version
Preprints & journals
86 papers in the corpus · 2003–2026PLEDGE: Progressive Lossy Error-Bounded Compression of 3D Gaussian Splatting2610.17605v1 · Mingze Xia, Yuxiao Li, Baixi Sun et al.2026 · 0 citationsarXiv
LOCAA: An Agentic System for Automated Lossy Compressor Tuning2610.10487v1 · Khondoker Mirazul Mumenin, Dong Dai, Sheng Di et al.2026 · 0 citationsarXiv
Measure Before You Manage: Evaluating Agent Working Memory in Coding Agents2608.31057v1 · Le Chen, Zishen Wan, Baixi Sun et al.2026 · 0 citationsarXiv
Report of the 2026 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science2608.26519v2 · Lois Curfman McInnes, Dorian Arnold, Prasanna Balaprakash et al.2026 · 0 citationsarXiv
FZ-VIS: A Visual Analytics Framework for Quantities-of-Interest-Aware Scientific Lossy Compression2608.08386v1 · Guoxi Liu, Yuxiao Li, Congrong Ren et al.2026 · 0 citationsarXiv
ReCoVer: Resilient LLM Pre-Training System via Fault-Tolerant Collective and Versatile Workload2605.11215v2 · Ziyue Liu, Zhengyang Wang, Ruijie Zhang et al.2026 · 0 citationsarXiv
Preserving Clusters in Error-Bounded Lossy Compression of Scientific Particle Data2604.18801v2 · Congrong Ren, Sheng Di, Katrin Heitmann et al.2026 · 0 citationsarXiv
Enabling Homomorphic Analytical Operations on Compressed Scientific Data with Multi-stage Decompression2603.25206v1 · Xuan Wu, Sheng Di, Tripti Agarwal et al.2026 · 0 citationsarXiv
Rate-Distortion Bounds for Heterogeneous Random Fields on Finite Lattices2603.09833v1 · Sujata Sinha, Vishwas Rao, Robert Underwood et al.2026 · 0 citationsarXiv
SPARe: Stacked Parallelism with Adaptive Reordering for Fault-Tolerant LLM Pretraining Systems with 100k+ GPUs2603.00357v3 · Jin Lee, Zhonghao Chen, Xuhang He et al.2026 · 0 citationsarXiv
Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation2602.20097v1 · Pu Jiao, Sheng Di, Jiannan Tian et al.2026 · 0 citationsarXiv
TopoSZp: Lightweight Topology-Aware Error-controlled Compression for Scientific Data2602.17552v1 · Tripti Agarwal, Sheng Di, Xin Liang et al.2026 · 0 citationsarXiv
DataStates-LLM: Scalable Checkpointing for Transformer Models Using Composable State Providers2601.16956v1 · Avinash Maurya, M. Mustafa Rafique, Franck Cappello et al.2026 · 0 citationsarXiv
pMSz: A Distributed Parallel Algorithm for Correcting Extrema and Morse Smale Segmentations in Lossy Compression2601.01787v1 · Yuxiao Li, Mingze Xia, Xin Liang et al.2026 · 0 citationsarXiv
FFCz: Fast Fourier Correction for Spectrum-Preserving Lossy Compression of Scientific Data2601.01596v1 · Congrong Ren, Robert Underwood, Sheng Di et al.2026 · 0 citationsarXiv
DeepCQ: General-Purpose Deep-Surrogate Framework for Lossy Compression Quality Prediction2512.21433v1 · Khondoker Mirazul Mumenin, Robert Underwood, Dong Dai et al.2025 · 0 citationsarXiv
BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models2512.12131v2 · Zhengyang Wang, Ziyue Liu, Ruijie Zhang et al.2025 · 0 citationsarXiv
Evaluating the Safety and Skill Reasoning of Large Reasoning Models Under Compute Constraints2509.18382v1 · Adarsha Balaji, Le Chen, Rajeev Thakur et al.2025 · 0 citationsarXiv
Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models2509.10744v1 · Ozan Gokdemir, Neil Getty, Robert Underwood et al.2025 · 1 citationarXiv
MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall2509.02480v1 · Avinash Maurya, M. Mustafa Rafique, Franck Cappello et al.2025 · 2 citationsSC'25: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2025
GPZ: GPU-Accelerated Lossy Compressor for Particle Data2508.10305v1 · Ruoyu Li, Yafan Huang, Longtao Zhang et al.2025 · 1 citationarXiv
Systematic Evaluation of Optimization Techniques for Long-Context Language Models2508.00305v1 · Ammar Ahmed, Sheng Di, Franck Cappello et al.2025 · 0 citationsarXiv
Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration2507.11165v2 · Shixun Wu, Jinwen Pan, Jinyang Liu et al.2025 · 7 citationsarXiv
Lossy Compression of Scientific Data: Applications Constrains and Requirements2503.20031v1 · Franck Cappello, Allison Baker, Ebru Bozda et al.2025 · 1 citationarXiv
EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants2502.20309v1 · Franck Cappello, Sandeep Madireddy, Robert Underwood et al.2025 · 2 citationsarXiv
ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression2502.18554v1 · Jiajun Huang, Sheng Di, Xiaodong Yu et al.2025 · 1 citationarXiv
CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation2502.10940v3 · Ziyue Liu, Ruijie Zhang, Zhengyang Wang et al.2025 · 0 citationsarXiv
IPComp: Interpolation Based Progressive Lossy Compression for Scientific Applications2502.04093v3 · Zhuoxun Yang, Sheng Di, Longtao Zhang et al.2025 · 8 citationsarXiv
TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs2412.05824v1 · Shixun Wu, Yujia Zhai, Jinyang Liu et al.2024 · 7 citationsarXiv
QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression2412.02799v4 · Jinyang Liu, Pu Jiao, Kai Zhao et al.2024 · 4 citationsarXiv
To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O2410.23497v2 · Grant Wilkins, Sheng Di, Jon C. Calhoun et al.2024 · 1 citationarXiv
Deep Optimizer States: Towards Scalable Training of Transformer Models Using Interleaved Offloading2410.21316v2 · Avinash Maurya, Jie Ye, M. Mustafa Rafique et al.2024 · 10 citationsarXiv
DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership2410.11142v1 · Shixun Wu, Krishnan Raghavan, Sheng Di et al.2024 · 1 citationarXiv
FRSZ2 for In-Register Block Compression Inside GMRES on GPUs2409.15468v1 · Thomas Grutzmacher, Robert Underwood, Sheng Di et al.2024 · 2 citationsarXiv
HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data2408.11971v1 · Tripti Agarwal, Sheng Di, Jiajun Huang et al.2024 · 2 citationsarXiv
FT K-means: A High-Performance K-means on GPU with Fault Tolerance2408.01391v2 · Shixun Wu, Yitong Ding, Yujia Zhai et al.2024 · 8 citationsarXiv
Constructing Level Sets Using Smoothed Approximate Bayesian Computation2407.05914v1 · David Edwards, Julie Bessac, Franck Cappello et al.2024 · 0 citationsarXiv
DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models2406.10707v1 · Avinash Maurya, Robert Underwood, M. Mustafa Rafique et al.2024 · 37 citationsarXiv
Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers2406.10728v1 · Avinash Maurya, Jie Ye, M. Mustafa Rafique et al.2024 · 11 citationsarXiv
TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU2405.02520v1 · Shixun Wu, Yujia Zhai, Jinyang Liu et al.2024 · 3 citationsarXiv
A Survey on Error-Bounded Lossy Compression for Scientific Datasets2404.02840v3 · Sheng Di, Jinyang Liu, Kai Zhao et al.2024 · 54 citationsarXiv
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets2403.15953v1 · Robert Underwood, Jon C. Calhoun, Sheng Di et al.2024 · 1 citationarXiv
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications2312.13461v3 · Grant Wilkins, Sheng Di, Jon C. Calhoun et al.2023 · 9 citationsarXiv
cuSZ-: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation2312.05492v6 · Jinyang Liu, Jiannan Tian, Shixun Wu et al.2023 · 18 citationsarXiv
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation2311.12133v3 · Jinyang Liu, Sheng Di, Kai Zhao et al.2023 · 30 citationsarXiv
Toward Feature-Preserving Vector Field Compression.36251895 · Liang, Xin, Di, Sheng, Cappello, Franck et al.2023 · 23 citationsIEEE transactions on visualization and computer graphics. 2023;29(12):5434-5450
Dynamic Quality Metric Oriented Error-bounded Lossy Compression for Scientific Datasets2310.14133v1 · Jinyang Liu, Sheng Di, Kai Zhao et al.2023 · 34 citationsarXiv
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks2309.04037v3 · Jinyang Liu, Sheng Di, Sian Jin et al.2023 · 0 citationsarXiv
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters2308.05199v2 · Jiajun Huang, Sheng Di, Xiaodong Yu et al.2023 · 24 citationsarXiv
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications2307.09609v1 · Daoce Wang, Jesus Pulido, Pascal Grosset et al.2023 · 15 citationsarXiv
Career total: 501 works. 86 are in this corpus.Showing the 50 most recent.
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