A risc central processing unit for a massivelly parallel architecture. - Franck Cappello; Jean-Luc Béchennec; Daniel Etiemble (Microprocessing and Microprogramming, 1990)

3D hardware packages for parallel architectures. - Jean-Luc Béchennec; Franck Cappello; Daniel Etiemble (Microprocessing and Microprogramming, 1991)

PTAH: Introduction to a New Parallel Architecture for Highly Numeric Processing. - Franck Cappello; Jean-Luc Béchennec; Jean-Louis Giavitto (PARLE, 1992)

Design of the processing node of the PTAH 64 parallel computer. - Franck Cappello; Jean-Luc Béchennec; J.-L. Glavitto (Microprocess. Microprogramming, 1992)

Data layouts impacts on the compilation of the communications for a synchronous MSIMD machine. - Franck Delaplace; Franck Cappello (Microprocess. Microprogramming, 1992)

Balanced Distributed Memory Parallel Computers. - Franck Cappello; Jean-Luc Béchennec; Franck Delaplace; Cécile Germain; Jean-Louis Giavitto; Vincent Néri; Daniel Etiemble (ICPP (1), 1993)

A Parralel Architecture Based on Compiled Communication Schemes. - Franck Cappello; Jean-Luc Béchennec; Franck Delaplace; Damien Gautier de Lahaut; Cécile Germain; Jean-Louis Giavitto; Vincent Néri; Daniel Etiemble (PARCO, 1993)

Static computation of standard linear algebra subroutines for PTAH. - E. Daugeras; Jean-Luc Béchennec; Franck Cappello (PDP, 1993)

Hardware features of the static communication network of a parallel architecture. - Vincent Néri; Jean-Luc Béchennec; Franck Cappello; Daniel Etiemble (Microprocess. Microprogramming, 1993)

Toward High Communication Performance through Compiled Communications on a Circuit Switched Interconnection Network. - Franck Cappello; Cécile Germain (HPCA, 1995)

The Static Network: A High Performance Reconfigurable Communication Network. - Cécile Germain; Franck Cappello (Parallel Process. Lett., 1995)

Communications in Parallel Architectures and Networks of Workstations: From Standardisation to New Standards. - Franck Cappello; Daniel Etiemble (PaCT, 1997)

On the Self-Similar Nature of Workstations and WWW Servers Workload. - Olivier Richard; Franck Cappello (Euro-Par, 1998)

Performance Characteristics of a Network of Commodity Multiprocessors for the NAS Benchmarks Using a Hybrid Memory Model. - Franck Cappello; Olivier Richard (IEEE PACT, 1999)

A Client/Broker/Server Substrate with µs Round-Trip Overhead. - Olivier Richard; Franck Cappello (Euro-Par, 1999)

Performance of the NAS Benchmarks on a Cluster of SMP PCs Using a Parallelization of the MPI Programs with OpenMP. - Franck Cappello; Olivier Richard; Daniel Etiemble (PaCT, 1999)

Performance Evaluation of Two Programming Models for a Cluster of PC Biprocessors. - Franck Cappello; Olivier Richard; Daniel Etiemble (PDPTA, 1999)

XtremWeb: Building an Experimental Platform for Global Computing. - Cécile Germain; Vincent Néri; Gilles Fedak; Franck Cappello (GRID, 2000)

Investigating the Performance of Two Programming Models for Clusters of SMP PCs. - Franck Cappello; Olivier Richard; Daniel Etiemble (HPCA, 2000)

MPI versus MPI+OpenMP on IBM SP for the NAS Benchmarks. - Franck Cappello; Daniel Etiemble (SC, 2000)

XtremWeb: A Generic Global Computing System. - Gilles Fedak; Cécile Germain; Vincent Néri; Franck Cappello (CCGRID, 2001)

HiHCoHP: Toward a Realistic Communication Model for Hierarchical HyperClusters of Heterogeneous Processors. - Franck Cappello; Pierre Fraigniaud; Bernard Mans; Arnold L. Rosenberg (IPDPS, 2001)

Global Computing Systems. - Cécile Germain; Gilles Fedak; Vincent Néri; Franck Cappello (LSSC, 2001)

Understanding performance of SMP clusters running MPI programs. - Franck Cappello; Olivier Richard; Daniel Etiemble (Future Gener. Comput. Syst., 2001)

SPMD OpenMP versus MPI on a IBM SMP for 3 Kernels of the NAS Benchmarks. - Géraud Krawezik; Guillaume Alléon; Franck Cappello (ISHPC, 2002)

MPICH-CM: A Communication Library Design for a P2P MPI Implementation. - Anton Selikhov; George Bosilca; Cécile Germain; Gilles Fedak; Franck Cappello (PVM/MPI, 2002)

MPICH-V: toward a scalable fault tolerant MPI for volatile nodes. - George Bosilca; Aurélien Bouteiller; Franck Cappello; Samir Djilali; Gilles Fedak; Cécile Germain; Thomas Hérault; Pierre Lemarinier; Oleg Lodygensky; Frédéric Magniette; Vincent Néri; Anton Selikhov (SC, 2002)

OVM: Out-of-order execution parallel virtual machine. - George Bosilca; Gilles Fedak; Franck Cappello (Future Gener. Comput. Syst., 2002)

MPI ou MPI+OpenMP sur grappes de multiprocesseurs? - Franck Cappello; Daniel Etiemble (Tech. Sci. Informatiques, 2002)

XtremWeb & Condor sharing resources between Internet connected Condor pools. - Oleg Lodygensky; Gilles Fedak; Franck Cappello; Vincent Néri; Miron Livny; Douglas Thain (CCGRID, 2003)

Topic Introduction. - Luc Bougé; Franck Cappello; Omer F. Rana; Bernard Traversat (Euro-Par, 2003)

MPICH-V2: a Fault Tolerant MPI for Volatile Nodes based on Pessimistic Sender Based Message Logging. - Aurélien Bouteiller; Franck Cappello; Thomas Hérault; Géraud Krawezik; Pierre Lemarinier; Frédéric Magniette (SC, 2003)

Augernome & XtremWeb: Monte Carlos computation on a global computing platform - Oleg Lodygensky; Gilles Fedak; Vincent Néri; Alain Cordier; Franck Cappello (CoRR, 2003)

Improved message logging versus improved coordinated checkpointing for fault tolerant MPI. - Pierre Lemarinier; Aurélien Bouteiller; Thomas Hérault; Géraud Krawezik; Franck Cappello (CLUSTER, 2004)

Hybrid Preemptive Scheduling of MPI Applications on the Grids. - Aurélien Bouteiller; Hinde-Lilia Bouziane; Thomas Hérault; Pierre Lemarinier; Franck Cappello (GRID, 2004)

RPC-V: Toward Fault-Tolerant RPC for Internet Connected Desktop Grids with Volatile Nodes. - Samir Djilali; Thomas Hérault; Oleg Lodygensky; Tangui Morlier; Gilles Fedak; Franck Cappello (SC, 2004)

Coordinated checkpoint versus message log for fault tolerant MPI. - Pierre Lemarinier; Aurélien Bouteiller; Géraud Krawezik; Franck Cappello (Int. J. High Perform. Comput. Netw., 2004)

Grid'5000: a large scale and highly reconfigurable grid experimental testbed. - Franck Cappello; Eddy Caron; Michel J. Daydé; Frédéric Desprez; Yvon Jégou; Pascale Vicat-Blanc Primet; Emmanuel Jeannot; Stéphane Lanteri; Julien Leduc; Nouredine Melab; Guillaume Mornet; Raymond Namyst; et al. (GRID, 2005)

Scheduling independent tasks sharing large data distributed with BitTorrent. - Baohua Wei; Gilles Fedak; Franck Cappello (GRID, 2005)

Impact of Event Logger on Causal Message Logging Protocols for Fault Tolerant MPI. - Aurélien Bouteiller; Boris Collin; Thomas Hérault; Pierre Lemarinier; Franck Cappello (IPDPS, 2005)

Collaborative Data Distribution with BitTorrent for Computational Desktop Grids. - Baohua Wei; Gilles Fedak; Franck Cappello (ISPDC, 2005)

Computing on large-scale distributed systems: XtremWeb architecture, programming models, security, tests and convergence with grid. - Franck Cappello; Samir Djilali; Gilles Fedak; Thomas Hérault; Frédéric Magniette; Vincent Néri; Oleg Lodygensky (Future Gener. Comput. Syst., 2005)

An algorithmic model for heterogeneous hyper-clusters: rationale and experience. - Franck Cappello; Pierre Fraigniaud; Bernard Mans; Arnold L. Rosenberg (Int. J. Found. Comput. Sci., 2005)

Towards Soft Real-Time Applications on Enterprise Desktop Grids. - Derrick Kondo; Bruno Kindarji; Gilles Fedak; Franck Cappello (CCGRID, 2006)

FAIL-MPI: How Fault-Tolerant Is Fault-Tolerant MPI? - William Hoarau; Pierre Lemarinier; Thomas Hérault; Eric Rodriguez; Sébastien Tixeuil; Franck Cappello (CLUSTER, 2006)

On Resource Volatility in Enterprise Desktop Grids. - Derrick Kondo; Gilles Fedak; Franck Cappello; Andrew A. Chien; Henri Casanova (e-Science, 2006)

Private Virtual Cluster: Infrastructure and Protocol for Instant Grids. - Ala Rezmerita; Tangui Morlier; Vincent Néri; Franck Cappello (Euro-Par, 2006)

Availability Traces of Enterprise Desktop Grids. - Derrick Kondo; Gilles Fedak; Franck Cappello; Andrew A. Chien; Henri Casanova (GRID, 2006)

Computer Science Grids. - Franck Cappello; Henri E. Bal (High Performance Computing Workshop, 2006)

MPI tools and performance studies - Blocking vs. non-blocking coordinated checkpointing for large-scale fault tolerant MPI. - Camille Coti; Thomas Hérault; Pierre Lemarinier; Laurence Pilard; Ala Rezmerita; Eric Rodriguez; Franck Cappello (SC, 2006)

Performance comparison of MPI and OpenMP on shared memory multiprocessors. - Géraud Krawezik; Franck Cappello (Concurr. Comput. Pract. Exp., 2006)

Editorial: Special Issue on Global and Peer-to-Peer Computing. - Franck Cappello; Adriana Iamnitchi; Mitsuhisa Sato (J. Grid Comput., 2006)

Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed. - Raphael Bolze; Franck Cappello; Eddy Caron; Michel J. Daydé; Frédéric Desprez; Emmanuel Jeannot; Yvon Jégou; Stéphane Lanteri; Julien Leduc; Nouredine Melab; Guillaume Mornet; Raymond Namyst; et al. (Int. J. High Perform. Comput. Appl., 2006)

Hybrid Preemptive Scheduling of Message Passing Interface Applications on Grids. - Aurélien Bouteiller; Hinde-Lilia Bouziane; Thomas Hérault; Pierre Lemarinier; Franck Cappello (Int. J. High Perform. Comput. Appl., 2006)

MPICH-V Project: A Multiprotocol Automatic Fault-Tolerant MPI. - Aurélien Bouteiller; Thomas Hérault; Géraud Krawezik; Pierre Lemarinier; Franck Cappello (Int. J. High Perform. Comput. Appl., 2006)

Toward an International "Computer Science Grid". - Franck Cappello; Henri E. Bal (CCGRID, 2007)

A Distributed and Replicated Service for Checkpoint Storage. - Fatiha Bouabache; Thomas Hérault; Gilles Fedak; Franck Cappello (CoreGRID Workshop - Making Grids Work, 2007)

Characterizing Result Errors in Internet Desktop Grids. - Derrick Kondo; Filipe Araújo; Paul Malecot; Patrício Domingues; Luís Moura Silva; Gilles Fedak; Franck Cappello (Euro-Par, 2007)

Grid Services for MPI. - Camille Coti; Ala Rezmerita; Thomas Hérault; Franck Cappello (PVM/MPI, 2007)

Virtual Parallel Machines Through Virtualization: Impact on MPI Executions. - Benjamin Quétier; Thomas Hérault; Vincent Néri; Franck Cappello (PVM/MPI, 2007)

Towards an International Computer Science Grid. - Franck Cappello (WETICE, 2007)

Characterizing resource availability in enterprise desktop grids. - Derrick Kondo; Gilles Fedak; Franck Cappello; Andrew A. Chien; Henri Casanova (Future Gener. Comput. Syst., 2007)

Towards efficient data distribution on computational desktop grids with BitTorrent. - Baohua Wei; Gilles Fedak; Franck Cappello (Future Gener. Comput. Syst., 2007)

Scalability Comparison of Four Host Virtualization Tools. - Benjamin Quétier; Vincent Néri; Franck Cappello (J. Grid Comput., 2007)

Grid Services for MPI. - Camille Coti; Thomas Hérault; Sylvain Peyronnet; Ala Rezmerita; Franck Cappello (CCGRID, 2008)

A File Transfer Service with Client/Server, P2P and Wide Area Storage Protocols. - Gilles Fedak; Haiwu He; Franck Cappello (Globe, 2008)

OpenWP: Combining annotation language and workflow environments for porting existing applications on grids. - Matthieu Cargnelli; Guillaume Alléon; Franck Cappello (GRID, 2008)

Emulation platform for high accuracy failure injection in grids. - Thomas Hérault; Mathieu Jan; Thomas Largillier; Sylvain Peyronnet; Benjamin Quétier; Franck Cappello (High Performance Computing Workshop, 2008)

Distributing and managing data on desktop grids with BitDew. - Gilles Fedak; Haiwu He; Franck Cappello (UPGRADE-CN, 2008)

Fault Tolerance for PetaScale Systems: Current Knowledge, Challenges and Opportunities. - Franck Cappello (PVM/MPI, 2008)

BitDew: a programmable environment for large-scale data management and distribution. - Gilles Fedak; Haiwu He; Franck Cappello (SC, 2008)

Blocking vs. non-blocking coordinated checkpointing for large-scale fault tolerant MPI Protocols. - Darius Buntinas; Camille Coti; Thomas Hérault; Pierre Lemarinier; Laurence Pilard; Ala Rezmerita; Eric Rodriguez; Franck Cappello (Future Gener. Comput. Syst., 2008)

Integrating Computing Resources on Multiple Grid-Enabled Job Scheduling Systems Through a Grid RPC System. - Yoshihiro Nakajima; Mitsuhisa Sato; Yoshiaki Aida; Taisuke Boku; Franck Cappello (J. Grid Comput., 2008)

BLAST Application with Data-Aware Desktop Grid Middleware. - Haiwu He; Gilles Fedak; Bing Tang; Franck Cappello (CCGRID, 2009)

High accuracy failure injection in parallel and distributed systems using virtualization. - Thomas Hérault; Thomas Largillier; Sylvain Peyronnet; Benjamin Quétier; Franck Cappello; Mathieu Jan (Conf. Computing Frontiers, 2009)

09191 Abstracts Collection - Fault Tolerance in High-Performance Computing and Grids. - Franck Cappello; Laxmikant V. Kalé; Frank Mueller 001; Keshav Pingali; Alexander Reinefeld (Fault Tolerance in High-Performance Computing and Grids, 2009)

MPI Applications on Grids: A Topology Aware Approach. - Camille Coti; Thomas Hérault; Franck Cappello (Euro-Par, 2009)

Cost-benefit analysis of Cloud Computing versus desktop grids. - Derrick Kondo; Bahman Javadi; Paul Malecot; Franck Cappello; David P. Anderson (IPDPS, 2009)

An Information Brokering Service Provider (IBSP) for Virtual Clusters. - Roberto Podestá; Victor Iniesta; Ala Rezmerita; Franck Cappello (OTM Conferences (1), 2009)

Checkpointing vs. Migration for Post-Petascale Machines - Franck Cappello; Henri Casanova; Yves Robert (CoRR, 2009)

Fault Tolerance in Petascale/ Exascale Systems: Current Knowledge, Challenges and Research Opportunities. - Franck Cappello (Int. J. High Perform. Comput. Appl., 2009)

Toward Exascale Resilience. - Franck Cappello; Al Geist; Bill Gropp; Laxmikant V. Kalé; Bill Kramer 001; Marc Snir (Int. J. High Perform. Comput. Appl., 2009)

The International Exascale Software Project: a Call To Cooperative Action By the Global High-Performance Community. - Jack J. Dongarra; Peter H. Beckman; Patrick Aerts; Franck Cappello; Thomas Lippert; Satoshi Matsuoka; Paul Messina; Terry Moore; Rick Stevens; Anne E. Trefethen; Mateo Valero (Int. J. High Perform. Comput. Appl., 2009)

BitDew: A data management and distribution service with multi-protocol file transfer and metadata abstraction. - Gilles Fedak; Haiwu He; Franck Cappello (J. Netw. Comput. Appl., 2009)

Hierarchical Replication Techniques to Ensure Checkpoint Storage Reliability in Grid Environment. - Fatiha Bouabache; Thomas Hérault; Gilles Fedak; Franck Cappello (J. Interconnect. Networks, 2009)

Foreword. - Franck Cappello; Thomas Hérault; Jack J. Dongarra (Parallel Comput., 2009)

Planning Large Data Transfers in Institutional Grids. - Fatiha Bouabache; Thomas Hérault; Sylvain Peyronnet; Franck Cappello (CCGRID, 2010)

Distributed Diskless Checkpoint for Large Scale Systems. - Leonardo Arturo Bautista-Gomez; Naoya Maruyama; Franck Cappello; Satoshi Matsuoka (CCGRID, 2010)

Low-overhead diskless checkpoint for hybrid computing systems. - Leonardo Arturo Bautista-Gomez; Akira Nukada; Naoya Maruyama; Franck Cappello; Satoshi Matsuoka (HiPC, 2010)

On Communication Determinism in Parallel HPC Applications. - Franck Cappello; Amina Guermouche; Marc Snir (ICCCN, 2010)

Checkpointing vs. Migration for Post-Petascale Supercomputers. - Franck Cappello; Henri Casanova; Yves Robert (ICPP, 2010)

Special section: Peer-to-peer grid technologies. - Ching-Hsien Hsu; Hai Jin 001; Franck Cappello (Future Gener. Comput. Syst., 2010)

Event Log Mining Tool for Large Scale HPC Systems. - Ana Gainaru; Franck Cappello; Stefan Trausan-Matu; Bill Kramer 001 (Euro-Par (1), 2011)

Optimizing Multi-deployment on Clouds by Means of Self-adaptive Prefetching. - Bogdan Nicolae; Franck Cappello; Gabriel Antoniu (Euro-Par (1), 2011)

On the Use of Cluster-Based Partial Message Logging to Improve Fault Tolerance for MPI HPC Applications. - Thomas Ropars; Amina Guermouche; Bora Uçar; Esteban Meneses; Laxmikant V. Kalé; Franck Cappello (Euro-Par (1), 2011)

Comparing archival policies for Blue Waters. - Franck Cappello; Mathias Jacquelin; Loris Marchal; Yves Robert; Marc Snir (HiPC, 2011)

DPDNS Keynote. - Franck Cappello (IPDPS Workshops, 2011)

Uncoordinated Checkpointing Without Domino Effect for Send-Deterministic MPI Applications. - Amina Guermouche; Thomas Ropars; Elisabeth Brunet; Marc Snir; Franck Cappello (IPDPS, 2011)

FTI: high performance fault tolerance interface for hybrid systems. - Leonardo Arturo Bautista-Gomez; Seiji Tsuboi; Dimitri Komatitsch; Franck Cappello; Naoya Maruyama; Satoshi Matsuoka (SC, 2011)

Modeling and tolerating heterogeneous failures in large parallel systems. - Eric Martin Heien; Derrick Kondo; Ana Gainaru; Dan Lapine; Bill Kramer 001; Franck Cappello (SC, 2011)

BlobCR: efficient checkpoint-restart for HPC applications on IaaS clouds using virtual disk image snapshots. - Bogdan Nicolae; Franck Cappello (SC, 2011)

QCG-OMPI: MPI applications on grids. - Emmanuel Agullo; Camille Coti; Thomas Hérault; Julien Langou; Sylvain Peyronnet; Ala Rezmerita; Franck Cappello; Jack J. Dongarra (Future Gener. Comput. Syst., 2011)

The International Exascale Software Project roadmap. - Jack J. Dongarra; Peter H. Beckman; Terry Moore; Patrick Aerts; Giovanni Aloisio; Jean-Claude Andre; David Barkai; Jean-Yves Berthou; Taisuke Boku; Bertrand Braunschweig; Franck Cappello; Barbara M. Chapman; et al. (Int. J. High Perform. Comput. Appl., 2011)

Preventive Migration vs. Preventive Checkpointing for Extreme Scale Supercomputers. - Franck Cappello; Henri Casanova; Yves Robert (Parallel Process. Lett., 2011)

Hierarchical Clustering Strategies for Fault Tolerance in Large Scale HPC Systems. - Leonardo Arturo Bautista-Gomez; Thomas Ropars; Naoya Maruyama; Franck Cappello; Satoshi Matsuoka (CLUSTER, 2012)

Damaris: How to Efficiently Leverage Multicore Parallelism to Achieve Scalable, Jitter-free I/O. - Matthieu Dorier; Gabriel Antoniu; Franck Cappello; Marc Snir; Leigh Orf (CLUSTER, 2012)

Energy considerations in checkpointing and fault tolerance protocols. - Mohammed el Mehdi Diouri; Olivier Glück; Laurent Lefèvre; Franck Cappello (DSN Workshops, 2012)

Scalable Reed-Solomon-Based Reliable Local Storage for HPC Applications on IaaS Clouds. - Leonardo Arturo Bautista-Gomez; Bogdan Nicolae; Naoya Maruyama; Franck Cappello; Satoshi Matsuoka (Euro-Par, 2012)

A hybrid local storage transfer scheme for live migration of I/O intensive workloads. - Bogdan Nicolae; Franck Cappello (HPDC, 2012)

Taming of the Shrew: Modeling the Normal and Faulty Behaviour of Large-scale HPC Systems. - Ana Gainaru; Franck Cappello; William Kramer 001 (IPDPS, 2012)

HydEE: Failure Containment without Event Logging for Large Scale Send-Deterministic MPI Applications. - Amina Guermouche; Thomas Ropars; Marc Snir; Franck Cappello (IPDPS, 2012)

Fault prediction under the microscope: a closer look into HPC systems. - Ana Gainaru; Franck Cappello; Marc Snir; William Kramer 001 (SC, 2012)

HydEE, vers un protocole de recouvrement arrière hiérarchique pour les machines exascales. De l'exploitation du déterminisme des émissions dans les protocoles de recouvrement arrière. - Amina Guermouche; Thomas Ropars; Franck Cappello (Tech. Sci. Informatiques, 2012)

Improving floating point compression through binary masks. - Leonardo Arturo Bautista-Gomez; Franck Cappello (IEEE BigData, 2013)

ECOFIT: A Framework to Estimate Energy Consumption of Fault Tolerance Protocols for HPC Applications. - Mohammed el Mehdi Diouri; Olivier Glück; Laurent Lefèvre; Franck Cappello (CCGRID, 2013)

Multi-criteria Checkpointing Strategies: Response-Time versus Resource Utilization. - Aurélien Bouteiller; Franck Cappello; Jack J. Dongarra; Amina Guermouche; Thomas Hérault; Yves Robert (Euro-Par, 2013)

AI-Ckpt: leveraging memory access patterns for adaptive asynchronous incremental checkpointing. - Bogdan Nicolae; Franck Cappello (HPDC, 2013)

Characterizing Cloud Applications on a Google Data Center. - Sheng Di; Derrick Kondo; Franck Cappello (ICPP, 2013)

HPCS 2013 panel: The era of exascale sciences: Challenges, needs and requirements. - Franck Cappello; Wolfgang Gentzsch; Mateo Valero; Mads Nygård (HPCS, 2013)

Improving the Computing Efficiency of HPC Systems Using a Combination of Proactive and Preventive Checkpointing. - Mohamed-Slim Bouguerra; Ana Gainaru; Leonardo Arturo Bautista-Gomez; Franck Cappello; Satoshi Matsuoka; Naoya Maruyama (IPDPS, 2013)

Towards an energy estimator for fault tolerance protocols. - Mohammed el Mehdi Diouri; Olivier Glück; Laurent Lefèvre; Franck Cappello (PPoPP, 2013)

Optimization of cloud task processing with checkpoint-restart mechanism. - Sheng Di; Yves Robert; Frédéric Vivien; Derrick Kondo; Cho-Li Wang; Franck Cappello (SC, 2013)

SPBC: leveraging the characteristics of MPI HPC applications for scalable checkpointing. - Thomas Ropars; Tatiana V. Martsinkevich; Amina Guermouche; André Schiper; Franck Cappello (SC, 2013)

Scalable data management for map-reduce-based data-intensive applications: a view for cloud and hybrid infrastructures. - Gabriel Antoniu; Alexandru Costan; Julien Bigot; Frédéric Desprez; Gilles Fedak; Sylvain Gault; Christian Pérez; Anthony Simonet; Bing Tang; Christophe Blanchet; Raphael Terreux; Luc Bougé; et al. (Int. J. Cloud Comput., 2013)

Failure prediction for HPC systems and applications: Current situation and open issues. - Ana Gainaru; Franck Cappello; Marc Snir; William Kramer 001 (Int. J. High Perform. Comput. Appl., 2013)

BlobCR: Virtual disk based checkpoint-restart for HPC applications on IaaS clouds. - Bogdan Nicolae; Franck Cappello (J. Parallel Distributed Comput., 2013)

Energy-performance tradeoffs in multilevel checkpoint strategies. - Leonardo Arturo Bautista-Gomez; Prasanna Balaprakash; Mohamed-Slim Bouguerra; Stefan M. Wild; Franck Cappello; Paul D. Hovland (CLUSTER, 2014)

GPGPUs: How to combine high computational power with high reliability. - Leonardo Arturo Bautista-Gomez; Franck Cappello; Luigi Carro; Nathan DeBardeleben; Bo Fang 002; Sudhanva Gurumurthi; Karthik Pattabiraman; Paolo Rech; Matteo Sonza Reorda (DATE, 2014)

Optimization of Multi-level Checkpoint Model for Large Scale HPC Applications. - Sheng Di; Mohamed-Slim Bouguerra; Leonardo Arturo Bautista-Gomez; Franck Cappello (IPDPS, 2014)

Detecting silent data corruption through data dynamic monitoring for scientific applications. - Leonardo Arturo Bautista-Gomez; Franck Cappello (PPoPP, 2014)

Analysis of the Tradeoffs Between Energy and Run Time for Multilevel Checkpointing. - Prasanna Balaprakash; Leonardo Arturo Bautista-Gomez; Mohamed-Slim Bouguerra; Stefan M. Wild; Franck Cappello; Paul D. Hovland (PMBS@SC, 2014)

Optimization of a Multilevel Checkpoint Model with Uncertain Execution Scales. - Sheng Di; Leonardo Arturo Bautista-Gomez; Franck Cappello (SC, 2014)

Unified model for assessing checkpointing protocols at extreme-scale. - George Bosilca; Aurélien Bouteiller; Elisabeth Brunet; Franck Cappello; Jack J. Dongarra; Amina Guermouche; Thomas Hérault; Yves Robert; Frédéric Vivien; Dounia Zaidouni (Concurr. Comput. Pract. Exp., 2014)

Addressing failures in exascale computing. - Marc Snir; Robert W. Wisniewski; Jacob A. Abraham; Sarita V. Adve; Saurabh Bagchi; Pavan Balaji; James F. Belak; Pradip Bose; Franck Cappello; Bill Carlson; Andrew A. Chien; Paul Coteus; et al. (Int. J. High Perform. Comput. Appl., 2014)

Toward Exascale Resilience: 2014 update. - Franck Cappello; Al Geist; William Gropp; Sanjay Kale; Bill Kramer 001; Marc Snir (Supercomput. Front. Innov., 2014)

Adaptive Algorithm for Minimizing Cloud Task Length with Prediction Errors. - Sheng Di; Cho-Li Wang; Franck Cappello (IEEE Trans. Cloud Comput., 2014)

Characterizing and modeling cloud applications/jobs on a Google data center. - Sheng Di; Derrick Kondo; Franck Cappello (J. Supercomput., 2014)

An Efficient Silent Data Corruption Detection Method with Error-Feedback Control and Even Sampling for HPC Applications. - Sheng Di; Eduardo Berrocal; Franck Cappello (CCGRID, 2015)

Detecting and Correcting Data Corruption in Stencil Applications through Multivariate Interpolation. - Leonardo Arturo Bautista-Gomez; Franck Cappello (CLUSTER, 2015)

Fault-Tolerant Protocol for Hybrid Task-Parallel Message-Passing Applications. - Tatiana V. Martsinkevich; Omer Subasi; Osman S. Unsal; Franck Cappello; Jesús Labarta (CLUSTER, 2015)

Distributed Monitoring and Management of Exascale Systems in the Argo Project. - Swann Perarnau; Rajeev Thakur; Kamil Iskra; Ken Raffenetti; Franck Cappello; Rinku Gupta; Peter H. Beckman; Marc Snir; Henry Hoffmann; Martin Schulz 001; Barry Rountree (DAIS, 2015)

Addressing the Last Roadblock for Message Logging in HPC: Alleviating the Memory Requirement Using Dedicated Resources. - Tatiana V. Martsinkevich; Thomas Ropars; Franck Cappello (Euro-Par Workshops, 2015)

Exploiting Spatial Smoothness in HPC Applications to Detect Silent Data Corruption. - Leonardo Arturo Bautista-Gomez; Franck Cappello (HPCC/CSS/ICESS, 2015)

Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications. - Eduardo Berrocal; Leonardo Arturo Bautista-Gomez; Sheng Di; Zhiling Lan; Franck Cappello (HPDC, 2015)

Scheduling the I/O of HPC Applications Under Congestion. - Ana Gainaru; Guillaume Aupy; Anne Benoit; Franck Cappello; Yves Robert; Marc Snir (IPDPS, 2015)

Detecting Silent Data Corruption for Extreme-Scale MPI Applications. - Leonardo Arturo Bautista-Gomez; Franck Cappello (EuroMPI, 2015)

GloudSim: Google trace based cloud simulator with virtual machines. - Sheng Di; Franck Cappello (Softw. Pract. Exp., 2015)

Spatial Support Vector Regression to Detect Silent Errors in the Exascale Era. - Omer Subasi; Sheng Di; Leonardo Bautista-Gomez; Prasanna Balaprakash; Osman S. Ünsal; Jesús Labarta; Adrián Cristal; Franck Cappello (CCGrid, 2016)

DSN 2016 Tutorial: Resilience for Scientific Computing: From Theory to Practice. - Franck Cappello; George Bosilca (DSN Workshops, 2016)

Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications. - Eduardo Berrocal; Leonardo Bautista-Gomez; Sheng Di; Zhiling Lan; Franck Cappello (Euro-Par, 2016)

Lightweight and Accurate Silent Data Corruption Detection in Ordinary Differential Equation Solvers. - Pierre-Louis Guhur; Hong Zhang 006; Tom Peterka; Emil M. Constantinescu; Franck Cappello (Euro-Par, 2016)

Reducing Waste in Extreme Scale Systems through Introspective Analysis. - Leonardo Arturo Bautista-Gomez; Ana Gainaru; Swann Perarnau; Devesh Tiwari; Saurabh Gupta 002; Christian Engelmann; Franck Cappello; Marc Snir (IPDPS, 2016)

Fast Error-Bounded Lossy HPC Data Compression with SZ. - Sheng Di; Franck Cappello (IPDPS, 2016)

Preface: Visualization and data analytics for scientific discovery. - Hank Childs; Franck Cappello (Parallel Comput., 2016)

Self-Adaptive Density Estimation of Particle Data. - Tom Peterka; Hadrien Croubois; Nan Li 022; Esteban Rangel; Franck Cappello (SIAM J. Sci. Comput., 2016)

Damaris: Addressing Performance Variability in Data Management for Post-Petascale Simulations. - Matthieu Dorier; Gabriel Antoniu; Franck Cappello; Marc Snir; Robert Sisneros; Orcun Yildiz; Shadi Ibrahim; Tom Peterka; Leigh Orf (ACM Trans. Parallel Comput., 2016)

Adaptive Impact-Driven Detection of Silent Data Corruption for HPC Applications. - Sheng Di; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2016)

In-depth exploration of single-snapshot lossy compression techniques for N-body simulations. - Dingwen Tao; Sheng Di; Zizhong Chen; Franck Cappello (IEEE BigData, 2017)

LogAider: A tool for mining potential correlations of HPC log events. - Sheng Di; Rinku Gupta; Marc Snir; Eric Pershey; Franck Cappello (CCGrid, 2017)

Detection of Silent Data Corruption in Adaptive Numerical Integration Solvers. - Pierre-Louis Guhur; Emil M. Constantinescu; Debojyoti Ghosh; Tom Peterka; Franck Cappello (CLUSTER, 2017)

MACORD: Online Adaptive Machine Learning Framework for Silent Error Detection. - Omer Subasi; Sheng Di; Prasanna Balaprakash; Osman S. Unsal; Jesús Labarta; Adrián Cristal; Sriram Krishnamoorthy; Franck Cappello (CLUSTER, 2017)

Understanding and Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics. - Franck Cappello; Rinku Gupta; Sheng Di; Emil M. Constantinescu; Thomas Peterka; Stefan M. Wild (Euro-Par Workshops, 2017)

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. - Ian T. Foster; Mark Ainsworth; Bryce Allen; Julie Bessac; Franck Cappello; Jong Youl Choi; Emil M. Constantinescu; Philip E. Davis; Sheng Di; Zichao Wendy Di; Hanqi Guo 001; Scott Klasky; et al. (Euro-Par, 2017)

Evaluation of a Floating-Point Intensive Kernel on FPGA - A Case Study of Geodesic Distance Kernel. - Zheming Jin; Hal Finkel; Kazutomo Yoshii; Franck Cappello (Euro-Par Workshops, 2017)

Evaluating irregular memory access on OpenCL FPGA platforms: A case study with XSBench. - Yingyi Luo; Xianshan Wen; Kazutomo Yoshii; Seda Ogrenci Memik; Gokhan Memik; Hal Finkel; Franck Cappello (FPL, 2017)

Identifying the Right Replication Level to Detect and Correct Silent Errors at Scale. - Anne Benoit; Aurélien Cavelan; Franck Cappello; Padma Raghavan; Yves Robert; Hongyang Sun 001 (FTXS@HPDC, 2017)

Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization. - Dingwen Tao; Sheng Di; Zizhong Chen; Franck Cappello (IPDPS, 2017)

Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets. - Dingwen Tao; Sheng Di; Zizhong Chen; Franck Cappello (ISC Workshops, 2017)

Toward General Software Level Silent Data Corruption Detection for Parallel Applications. - Eduardo Berrocal; Leonardo Bautista-Gomez; Sheng Di; Zhiling Lan; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2017)

Toward an Optimal Online Checkpoint Solution under a Two-Level HPC Checkpoint Model. - Sheng Di; Yves Robert; Frédéric Vivien; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2017)

Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data. - Sihuan Li; Sheng Di; Xin Liang 001; Zizhong Chen; Franck Cappello (IEEE BigData, 2018)

Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets. - Xin Liang 001; Sheng Di; Dingwen Tao; Sihuan Li; Shaomeng Li; Hanqi Guo 001; Zizhong Chen; Franck Cappello (IEEE BigData, 2018)

PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry. - Ali Murat Gok; Sheng Di; Yuri Alexeev; Dingwen Tao; Vladimir A. Mironov; Xin Liang 001; Franck Cappello (CLUSTER, 2018)

An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound. - Xin Liang 001; Sheng Di; Dingwen Tao; Zizhong Chen; Franck Cappello (CLUSTER, 2018)

Fixed-PSNR Lossy Compression for Scientific Data. - Dingwen Tao; Sheng Di; Xin Liang 001; Zizhong Chen; Franck Cappello (CLUSTER, 2018)

Neural Network Based Silent Error Detector. - Chen Wang 004; Nikoli Dryden; Franck Cappello; Marc Snir (CLUSTER, 2018)

Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. - Jong Youl Choi; Choong-Seock Chang; Julien Dominski; Scott Klasky; Gabriele Merlo; Eric Suchyta; Mark Ainsworth; Bryce Allen; Franck Cappello; Michael Churchill; Philip E. Davis; Sheng Di; et al. (eScience, 2018)

La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers. - Hanqi Guo 001; Sheng Di; Rinku Gupta; Tom Peterka; Franck Cappello (EGPGV@EuroVis, 2018)

Improving performance of iterative methods by lossy checkponting. - Dingwen Tao; Sheng Di; Xin Liang 001; Zizhong Chen; Franck Cappello (HPDC, 2018)

CEBDA 2018 Keynote. - Franck Cappello (IPDPS Workshops, 2018)

Parallel Partial Reduction for Large-Scale Data Analysis and Visualization. - Wenbin He; Hanqi Guo 001; Tom Peterka; Sheng Di; Franck Cappello; Han-Wei Shen (LDAV, 2018)

Amplitude-Aware Lossy Compression for Quantum Circuit Simulation. - Xin-Chuan Wu; Sheng Di; Franck Cappello; Hal Finkel; Yuri Alexeev; Frederic T. Chong (CoRR, 2018)

Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression. - Xin-Chuan Wu; Sheng Di; Franck Cappello; Hal Finkel; Yuri Alexeev; Frederic T. Chong (CoRR, 2018)

Transferring a petabyte in a day. - Rajkumar Kettimuthu; Zhengchun Liu; David Wheeler; Ian T. Foster; Katrin Heitmann; Franck Cappello (Future Gener. Comput. Syst., 2018)

Big data and extreme-scale computing. - Mark Asch; Terry Moore; Rosa M. Badia; Micah Beck; Peter H. Beckman; T. Bidot; François Bodin; Franck Cappello; Alok N. Choudhary; Bronis R. de Supinski; Ewa Deelman; Jack J. Dongarra; et al. (Int. J. High Perform. Comput. Appl., 2018)

Unified fault-tolerance framework for hybrid task-parallel message-passing applications. - Omer Subasi; Tatiana V. Martsinkevich; Ferad Zyulkyarov; Osman S. Unsal; Jesús Labarta; Franck Cappello (Int. J. High Perform. Comput. Appl., 2018)

Coping with silent and fail-stop errors at scale by combining replication and checkpointing. - Anne Benoit; Aurélien Cavelan; Franck Cappello; Padma Raghavan; Yves Robert; Hongyang Sun 001 (J. Parallel Distributed Comput., 2018)

Exploring the capabilities of support vector machines in detecting silent data corruptions. - Omer Subasi; Sheng Di; Leonardo Bautista-Gomez; Prasanna Balaprakash; Osman S. Unsal; Jesús Labarta; Adrián Cristal; Sriram Krishnamoorthy; Franck Cappello (Sustain. Comput. Informatics Syst., 2018)

Optimization of Error-Bounded Lossy Compression for Hard-to-Compress HPC Data. - Sheng Di; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2018)

Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. - Xin Liang 001; Sheng Di; Dingwen Tao; Sihuan Li; Bogdan Nicolae; Zizhong Chen; Franck Cappello (CLUSTER, 2019)

Characterizing and Understanding HPC Job Failures Over The 2K-Day Life of IBM BlueGene/Q System. - Sheng Di; Hanqi Guo 001; Eric Pershey; Marc Snir; Franck Cappello (DSN, 2019)

Towards Portable Online Prediction of Network Utilization Using MPI-Level Monitoring. - Shu-Mei Tseng; Bogdan Nicolae; George Bosilca; Emmanuel Jeannot; Aparna Chandramowlishwaran; Franck Cappello (Euro-Par, 2019)

DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. - Sian Jin; Sheng Di; Xin Liang 001; Jiannan Tian; Dingwen Tao; Franck Cappello (HPDC, 2019)

VeloC: Towards High Performance Adaptive Asynchronous Checkpointing at Large Scale. - Bogdan Nicolae; Adam Moody; Elsa Gonsiorowski; Kathryn M. Mohror; Franck Cappello (IPDPS, 2019)

Accelerating Relative-error Bounded Lossy Compression for HPC datasets with Precomputation-Based Mechanisms. - Xiangyu Zou; Tao Lu; Wen Xia; Xuan Wang 002; Weizhe Zhang; Sheng Di; Dingwen Tao; Franck Cappello (MSST, 2019)

FT-iSort: efficient fault tolerance for introsort. - Sihuan Li; Hongbo Li 006; Xin Liang 001; Jieyang Chen; Elisabeth Giem; Kaiming Ouyang; Kai Zhao 008; Sheng Di; Franck Cappello; Zizhong Chen (SC, 2019)

Significantly improving lossy compression quality based on an optimized hybrid prediction model. - Xin Liang 001; Sheng Di; Sihuan Li; Dingwen Tao; Bogdan Nicolae; Zizhong Chen; Franck Cappello (SC, 2019)

Full-state quantum circuit simulation by using data compression. - Xin-Chuan Wu; Sheng Di; Emma Maitreyee Dasgupta; Franck Cappello; Hal Finkel; Yuri Alexeev; Frederic T. Chong (SC, 2019)

Exploring the feasibility of lossy compression for PDE simulations. - Jon C. Calhoun; Franck Cappello; Luke N. Olson; Marc Snir; William D. Gropp (Int. J. High Perform. Comput. Appl., 2019)

Use cases of lossy compression for floating-point data in scientific data sets. - Franck Cappello; Sheng Di; Sihuan Li; Xin Liang 001; Ali Murat Gok; Dingwen Tao; Chun Hong Yoon; Xin-Chuan Wu; Yuri Alexeev; Frederic T. Chong (Int. J. High Perform. Comput. Appl., 2019)

Z-checker: A framework for assessing lossy compression of scientific data. - Dingwen Tao; Sheng Di; Hanqi Guo 001; Zizhong Chen; Franck Cappello (Int. J. High Perform. Comput. Appl., 2019)

Exploring Properties and Correlations of Fatal Events in a Large-Scale HPC System. - Sheng Di; Hanqi Guo 001; Rinku Gupta; Eric Pershey; Marc Snir; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2019)

Efficient Lossy Compression for Scientific Data Based on Pointwise Relative Error Bound. - Sheng Di; Dingwen Tao; Xin Liang 001; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2019)

Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP. - Dingwen Tao; Sheng Di; Xin Liang 001; Zizhong Chen; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2019)

cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. - Jiannan Tian; Sheng Di; Kai Zhao 008; Cody Rivera; Megan Hickman Fulp; Robert Underwood; Sian Jin; Xin Liang 001; Jon Calhoun 001; Dingwen Tao; Franck Cappello (PACT, 2020)

Toward Feature-Preserving 2D and 3D Vector Field Compression. - Xin Liang 001; Hanqi Guo 001; Sheng Di; Franck Cappello; Mukund Raj; Chunhui Liu; Kenji Ono; Zizhong Chen; Tom Peterka (PacificVis, 2020)

SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. - Kai Zhao 008; Sheng Di; Xin Liang 001; Sihuan Li; Dingwen Tao; Julie Bessac; Zizhong Chen; Franck Cappello (IEEE BigData, 2020)

DeepFreeze: Towards Scalable Asynchronous Checkpointing of Deep Learning Models. - Bogdan Nicolae; Jiali Li; Justin M. Wozniak; George Bosilca; Matthieu Dorier; Franck Cappello (CCGRID, 2020)

Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression. - Sihuan Li; Sheng Di; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (CLUSTER, 2020)

DeepClone: Lightweight State Replication of Deep Learning Models for Data Parallel Training. - Bogdan Nicolae; Justin M. Wozniak; Matthieu Dorier; Franck Cappello (CLUSTER, 2020)

Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization. - Kai Zhao 008; Sheng Di; Xin Liang 001; Sihuan Li; Dingwen Tao; Zizhong Chen; Franck Cappello (HPDC, 2020)

Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning. - Tonmoy Dey; Kento Sato; Bogdan Nicolae; Jian Guo; Jens Domke; Weikuan Yu; Franck Cappello; Kathryn M. Mohror (IPDPS Workshops, 2020)

FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data. - Robert Underwood; Sheng Di; Jon C. Calhoun; Franck Cappello (IPDPS, 2020)

waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data. - Jiannan Tian; Sheng Di; Chengming Zhang 006; Xin Liang 001; Sian Jin; Dazhao Cheng; Dingwen Tao; Franck Cappello (PPoPP, 2020)

Fulfilling the Promises of Lossy Compression for Scientific Applications. - Franck Cappello; Sheng Di; Ali Murat Gok (SMC, 2020)

Algorithm-Based Fault Tolerance for Convolutional Neural Networks. - Kai Zhao 008; Sheng Di; Sihuan Li; Xin Liang 001; Yujia Zhai; Jieyang Chen; Kaiming Ouyang; Franck Cappello; Zizhong Chen (CoRR, 2020)

SDC Resilient Error-bounded Lossy Compressor. - Sihuan Li; Sheng Di; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (CoRR, 2020)

Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data. - Xiangyu Zou; Tao Lu; Wen Xia; Xuan Wang 002; Weizhe Zhang; Haijun Zhang 002; Sheng Di; Dingwen Tao; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2020)

Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques. - Jinyang Liu 003; Sihuan Li; Sheng Di; Xin Liang 001; Kai Zhao 008; Dingwen Tao; Zizhong Chen; Franck Cappello (IEEE BigData, 2021)

Exploring Autoencoder-based Error-bounded Compression for Scientific Data. - Jinyang Liu 003; Sheng Di; Kai Zhao 008; Sian Jin; Dingwen Tao; Xin Liang 001; Zizhong Chen; Franck Cappello (CLUSTER, 2021)

Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer. - Hongyuan Liu 002; Bogdan Nicolae; Sheng Di; Franck Cappello; Adwait Jog (CLUSTER, 2021)

Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jiannan Tian; Sheng Di; Xiaodong Yu 001; Cody Rivera; Kai Zhao 008; Sian Jin; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (CLUSTER, 2021)

cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions. - Xiaodong Yu 001; Sheng Di; Ali Murat Gok; Dingwen Tao; Franck Cappello (CLUSTER, 2021)

Sentiment Analysis based Error Detection for Large-Scale Systems. - Khalid Ayedh Alharthi; Arshad Jhumka; Sheng Di; Franck Cappello; Edward Chuah (DSN, 2021)

Towards High Performance Resilience Using Performance Portable Abstractions. - Nicolas M. Morales; Keita Teranishi; Bogdan Nicolae; Christian Trott; Franck Cappello (Euro-Par, 2021)

Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets. - Yuanjian Liu; Sheng Di; Kai Zhao 008; Sian Jin; Cheng Wang; Kyle Chard; Dingwen Tao; Ian T. Foster; Franck Cappello (HiPC, 2021)

Towards Combining Error-bounded Lossy Compression and Cryptography for Scientific Data. - Ruiwen Shan; Sheng Di; Jon C. Calhoun; Franck Cappello (HPEC, 2021)

Optimizing Error-Bounded Lossy Compression for Scientific Data by Dynamic Spline Interpolation. - Kai Zhao 008; Sheng Di; Maxim Dmitriev; Thierry-Laurent D. Tonellot; Zizhong Chen; Franck Cappello (ICDE, 2021)

Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. - Jiannan Tian; Cody Rivera; Sheng Di; Jieyang Chen; Xin Liang 001; Dingwen Tao; Franck Cappello (IPDPS, 2021)

Towards Efficient I/O Scheduling for Collaborative Multi-Level Checkpointing. - Avinash Maurya; Bogdan Nicolae; M. Mustafa Rafique; Thierry Tonellot; Franck Cappello (MASCOTS, 2021)

Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets. - David Krasowska; Julie Bessac; Robert Underwood; Jon C. Calhoun; Sheng Di; Franck Cappello (DRBSD@SC, 2021)

Resilient error-bounded lossy compressor for data transfer. - Sihuan Li; Sheng Di; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (SC, 2021)

Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis. - Yuanjian Lin; Sheng Di; Kai Zhao 008; Sian Jin; Cheng Wang; Kyle Chard; Dingwen Tao; Ian T. Foster; Franck Cappello (DRBSD@SC, 2021)

Productive and Performant Generic Lossy Data Compression with LibPressio. - Robert Underwood; Victoriana Malvoso; Jon C. Calhoun; Sheng Di; Franck Cappello (DRBSD@SC, 2021)

VELOC: VEry Low Overhead Checkpointing in the Age of Exascale. - Bogdan Nicolae; Adam Moody; Gregory Kosinovsky; Kathryn M. Mohror; Franck Cappello (CoRR, 2021)

cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jiannan Tian; Sheng Di; Xiaodong Yu 001; Cody Rivera; Kai Zhao 008; Sian Jin; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (CoRR, 2021)

Towards Aggregated Asynchronous Checkpointing. - Mikaila J. Gossman; Bogdan Nicolae; Jon C. Calhoun; Franck Cappello; Melissa C. Smith (CoRR, 2021)

Online data analysis and reduction: An important Co-design motif for extreme-scale computers. - Ian T. Foster; Mark Ainsworth; Julie Bessac; Franck Cappello; Jong Choi 001; Sheng Di; Zichao Wendy Di; Ali Murat Gok; Hanqi Guo 001; Kevin A. Huck; Christopher Kelly; Scott Klasky; et al. (Int. J. High Perform. Comput. Appl., 2021)

Demystifying asynchronous I/O Interference in HPC applications. - Shu-Mei Tseng; Bogdan Nicolae; Franck Cappello; Aparna Chandramowlishwaran (Int. J. High Perform. Comput. Appl., 2021)

FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks. - Kai Zhao 008; Sheng Di; Sihuan Li; Xin Liang 001; Yujia Zhai; Jieyang Chen; Kaiming Ouyang; Franck Cappello; Zizhong Chen (IEEE Trans. Parallel Distributed Syst., 2021)

Exploring Light-weight Cryptography for Efficient and Secure Lossy Data Compression. - Ruiwen Shan; Sheng Di; Jon C. Calhoun; Franck Cappello (CLUSTER, 2022)

Towards Efficient Cache Allocation for High-Frequency Checkpointing. - Avinash Maurya; Bogdan Nicolae; M. Mustafa Rafique; Amr M. Elsayed; Thierry Tonellot; Franck Cappello (HIPC, 2022)

A Reflection on Methodologies, Algorithms and Software for HPDC. - Franck Cappello (HPDC, 2022)

Ultrafast Error-bounded Lossy Compression for Scientific Datasets. - Xiaodong Yu 001; Sheng Di; Kai Zhao 008; Jiannan Tian; Dingwen Tao; Xin Liang 001; Franck Cappello (HPDC, 2022)

Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. - Sian Jin; Sheng Di; Jiannan Tian; Suren Byna; Dingwen Tao; Franck Cappello (ICDE, 2022)

MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics. - Kai Zhao 008; Sheng Di; Danny Perez; Xin Liang 001; Zizhong Chen; Franck Cappello (ICDE, 2022)

Clairvoyant: a log-based transformer-decoder for failure prediction in large-scale systems. - Khalid Ayedh Alharthi; Arshad Jhumka; Sheng Di; Franck Cappello (ICS, 2022)

Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. - Cody Rivera; Sheng Di; Jiannan Tian; Xiaodong Yu 001; Dingwen Tao; Franck Cappello (IPDPS, 2022)

Efficient Error-Bounded Lossy Compression for CPU Architectures. - Griffin Dube; Jiannan Tian; Sheng Di; Dingwen Tao; Jon C. Calhoun; Franck Cappello (MASCOTS, 2022)

Hardening selective protection across multiple program inputs for HPC applications. - Yafan Huang; Shengjian Guo; Sheng Di; Guanpeng Li; Franck Cappello (PPoPP, 2022)

Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs. - Yafan Huang; Shengjian Guo; Sheng Di; Guanpeng Li; Franck Cappello (SC, 2022)

Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5. - Sian Jin; Dingwen Tao; Houjun Tang; Sheng Di; Suren Byna; Zarija Lukic; Franck Cappello (SC, 2022)

Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets. - Jinyang Liu 003; Sheng Di; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (SC, 2022)

Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets. - Zhaoyuan Su; Sheng Di; Ali Murat Gok; Yue Cheng 001; Franck Cappello (DRBSD@SC, 2022)

Understanding the Effects of Modern Compressors on the Community Earth Science Model. - Robert Underwood; Julie Bessac; Sheng Di; Franck Cappello (DRBSD@SC, 2022)

SIMD Lossy Compression for Scientific Data. - Griffin Dube; Jiannan Tian; Sheng Di; Dingwen Tao; Jon Calhoun 001; Franck Cappello (CoRR, 2022)

SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets. - Xiaodong Yu 001; Sheng Di; Kai Zhao 008; Jiannan Tian; Dingwen Tao; Xin Liang 001; Franck Cappello (CoRR, 2022)

ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography. - Robert Underwood; Chun Hong Yoon; Ali Murat Gok; Sheng Di; Franck Cappello (CoRR, 2022)

Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data. - Pu Jiao; Sheng Di; Hanqi Guo 001; Kai Zhao 008; Jiannan Tian; Dingwen Tao; Xin Liang 001; Franck Cappello (Proc. VLDB Endow., 2022)

Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints. - Yuanjian Liu; Sheng Di; Kai Zhao 008; Sian Jin; Cheng Wang; Kyle Chard; Dingwen Tao; Ian T. Foster; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2022)

OptZConfig: Efficient Parallel Optimization of Lossy Compression Configuration. - Robert Underwood; Jon C. Calhoun; Sheng Di; Amy W. Apon; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2022)

Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression. - Jiajun Huang 001; Jinyang Liu 003; Sheng Di; Yujia Zhai; Zizhe Jian; Shixun Wu; Kai Zhao 008; Zizhong Chen; Yanfei Guo; Franck Cappello (IEEE Big Data, 2023)

Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. - Jinyang Liu 003; Sheng Di; Sian Jin; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (IEEE Big Data, 2023)

Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression. - Yafan Huang; Kai Zhao 008; Sheng Di; Guanpeng Li; Maxim Dmitriev; Thierry-Laurent D. Tonellot; Franck Cappello (CCGrid, 2023)

A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression. - Arkaprabha Ganguli; Robert Underwood; Julie Bessac; David Krasowska; Jon C. Calhoun; Sheng Di; Franck Cappello (CLUSTER, 2023)

An Efficient and Accurate Compression Ratio Estimation Model for SZx. - Arham Khan; Sheng Di; Kai Zhao 008; Jinyang Liu 003; Kyle Chard; Ian T. Foster; Franck Cappello (CLUSTER Workshops, 2023)

Time Machine: Generative Real-Time Model for Failure (and Lead Time) Prediction in HPC Systems. - Khalid Ayedh Alharthi; Arshad Jhumka; Sheng Di; Lin Gui 003; Franck Cappello; Simon McIntosh-Smith (DSN, 2023)

Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors. - Pu Jiao; Sheng Di; Jinyang Liu 003; Xin Liang 001; Franck Cappello (HiPC, 2023)

SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework. - Arham Khan; Sheng Di; Kai Zhao 008; Jinyang Liu 003; Kyle Chard; Ian T. Foster; Franck Cappello (HiPC, 2023)

Towards Efficient I/O Pipelines Using Accumulated Compression. - Avinash Maurya; Bogdan Nicolae; M. Mustafa Rafique; Franck Cappello (HiPC, 2023)

GPU-Enabled Asynchronous Multi-level Checkpoint Caching and Prefetching. - Avinash Maurya; M. Mustafa Rafique; Thierry Tonellot; Hussain J. AlSalem; Franck Cappello; Bogdan Nicolae (HPDC, 2023)

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. - Boyuan Zhang 002; Jiannan Tian; Sheng Di; Xiaodong Yu 001; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (HPDC, 2023)

Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression. - Yuanjian Liu; Sheng Di; Kyle Chard; Ian T. Foster; Franck Cappello (ICDCS, 2023)

A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets. - Md Hasanur Rahman 001; Sheng Di; Kai Zhao 008; Robert Underwood; Guanpeng Li; Franck Cappello (ICDE, 2023)

Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication. - Nigel Tan; Jakob Lüttgau; Jack Marquez; Keita Teranishi; Nicolas M. Morales; Sanjukta Bhowmick; Franck Cappello; Michela Taufer; Bogdan Nicolae (ICPP, 2023)

FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data. - Jinyang Liu 003; Sheng Di; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (ICS, 2023)

Lightweight Huffman Coding for Efficient GPU Compression. - Milan Shah; Xiaodong Yu 001; Sheng Di; Michela Becchi; Franck Cappello (ICS, 2023)

GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. - Boyuan Zhang 002; Jiannan Tian; Sheng Di; Xiaodong Yu 001; Martin Swany; Dingwen Tao; Franck Cappello (ICS, 2023)

GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations. - Milan Shah; Xiaodong Yu 001; Sheng Di; Danylo Lykov; Yuri Alexeev; Michela Becchi; Franck Cappello (IPDPS, 2023)

cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance. - Yafan Huang; Sheng Di; Xiaodong Yu 001; Guanpeng Li; Franck Cappello (SC, 2023)

LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance. - Robert Underwood; Sheng Di; Sian Jin; Md Hasanur Rahman 001; Arham Khan; Franck Cappello (SC Workshops, 2023)

AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. - Daoce Wang; Jesus Pulido; Pascal Grosset; Jiannan Tian; Sian Jin; Houjun Tang; Jean M. Sexton; Sheng Di; Kai Zhao 008; Bo Fang 002; Zarija Lukic; Franck Cappello; et al. (SC, 2023)

Streaming Hardware Compressor Generator Framework. - Kazutomo Yoshii; Tomohiro Ueno; Kentaro Sano; Antonino Miceli; Franck Cappello (SC Workshops, 2023)

C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; Yanfei Guo; Rajeev Thakur (CoRR, 2023)

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Yafan Huang; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; Yanfei Guo; et al. (CoRR, 2023)

SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. - Jinyang Liu 003; Sheng Di; Sian Jin; Kai Zhao 008; Xin Liang 001; Zizhong Chen; Franck Cappello (CoRR, 2023)

cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jinyang Liu 003; Jiannan Tian; Shixun Wu; Sheng Di; Boyuan Zhang 002; Yafan Huang; Kai Zhao 008; Guanpeng Li; Dingwen Tao; Zizhong Chen; Franck Cappello (CoRR, 2023)

Efficient Communication in Federated Learning Using Floating-Point Lossy Compression. - Grant Wilkins; Sheng Di; Jon C. Calhoun; Kibaek Kim; Robert Underwood; Richard Mortier; Franck Cappello (CoRR, 2023)

SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. - Xin Liang 001; Kai Zhao 008; Sheng Di; Sihuan Li; Robert Underwood; Ali Murat Gok; Jiannan Tian; Junjing Deng; Jon C. Calhoun; Dingwen Tao; Zizhong Chen; Franck Cappello (IEEE Trans. Big Data, 2023)

Black-box statistical prediction of lossy compression ratios for scientific data. - Robert Underwood; Julie Bessac; David Krasowska; Jon C. Calhoun; Sheng Di; Franck Cappello (Int. J. High Perform. Comput. Appl., 2023)

Toward Feature-Preserving Vector Field Compression. - Xin Liang 001; Sheng Di; Franck Cappello; Mukund Raj; Chunhui Liu; Kenji Ono; Zizhong Chen; Tom Peterka; Hanqi Guo 001 (IEEE Trans. Vis. Comput. Graph., 2023)

FT K-Means: A High-Performance K-Means on GPU with Fault Tolerance. - Shixun Wu; Yitong Ding; Yujia Zhai; Jinyang Liu 003; Jiajun Huang 001; Zizhe Jian; Huangliang Dai; Sheng Di; Bryan M. Wong; Zizhong Chen; Franck Cappello (CLUSTER, 2024)

Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling. - Sian Jin; Sheng Di; Frédéric Vivien; Daoce Wang; Yves Robert; Dingwen Tao; Franck Cappello (EuroSys, 2024)

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. Mustafa Rafique; Franck Cappello; Bogdan Nicolae (FlexScience@HPDC, 2024)

DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. - Avinash Maurya; Robert Underwood; M. Mustafa Rafique; Franck Cappello; Bogdan Nicolae (HPDC, 2024)

A Portable, Fast, DCT-based Compressor for AI Accelerators. - Milan Shah; Xiaodong Yu 001; Sheng Di; Michela Becchi; Franck Cappello (HPDC, 2024)

CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. - Shihui Song; Yafan Huang; Peng Jiang 004; Xiaodong Yu 001; Weijian Zheng; Sheng Di; Qinglei Cao; Yunhe Feng; Zhen Xie; Franck Cappello (HPDC, 2024)

FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. - Grant Wilkins; Sheng Di; Jon C. Calhoun; Zilinghan Li; Kibaek Kim; Robert Underwood; Richard Mortier; Franck Cappello (ICDCS, 2024)

Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points. - Mingze Xia; Sheng Di; Franck Cappello; Pu Jiao; Kai Zhao 008; Jinyang Liu 003; Xuan Wu; Xin Liang 001; Hanqi Guo 001 (ICDE, 2024)

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Yafan Huang; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Xiaoyi Lu; Zizhong Chen; Franck Cappello; et al. (ICS, 2024)

Druto: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications. - Md Hasanur Rahman 001; Sheng Di; Shengjian Guo; Xiaoyi Lu; Guanpeng Li; Franck Cappello (IPDPS, 2024)

An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Zhaorui Zhang; Jinyang Liu 003; Xiaoyi Lu; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; et al. (IPDPS, 2024)

CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction. - Zizhe Jian; Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Haiying Xu; Robert Underwood; Shixun Wu; Jiajun Huang 001; Zizhong Chen; Franck Cappello (IPDPS, 2024)

Deep Optimizer States: Towards Scalable Training of Transformer Models using Interleaved Offloading. - Avinash Maurya; Jie Ye; M. Mustafa Rafique; Franck Cappello; Bogdan Nicolae (Middleware, 2024)

Towards Affordable Reproducibility Using Scalable Capture and Comparison of Intermediate Multi-Run Results. - Nigel Tan; Kevin Assogba; Walter J. Ashworth; Befikir Bogale; Franck Cappello; M. Mustafa Rafique; Michela Taufer; Bogdan Nicolae (Middleware, 2024)

POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Yafan Huang; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; Yanfei Guo; et al. (PPoPP, 2024)

cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. - Jinyang Liu 003; Jiannan Tian; Shixun Wu; Sheng Di; Boyuan Zhang 002; Robert Underwood; Yafan Huang; Jiajun Huang 001; Kai Zhao 008; Guanpeng Li; Dingwen Tao; Zizhong Chen; et al. (SC, 2024)

SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data. - Tripti Agarwal; Sheng Di; Jiajun Huang 001; Yafan Huang; Ganesh Gopalakrishnan; Robert Underwood; Kai Zhao 008; Xin Liang 001; Guanpeng Li; Franck Cappello (SC Workshops, 2024)

FRSZ2 for In-Register Block Compression Inside GMRES on GPUs. - Thomas Grützmacher; Robert Underwood; Sheng Di; Franck Cappello; Hartwig Anzt (SC Workshops, 2024)

hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Zizhe Jian; Xin Liang 001; Kai Zhao 008; Xiaoyi Lu; Zizhong Chen; Franck Cappello; Yanfei Guo; et al. (SC, 2024)

cuSZp2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio. - Yafan Huang; Sheng Di; Guanpeng Li; Franck Cappello (SC, 2024)

Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets. - Robert Underwood; Jon C. Calhoun; Sheng Di; Franck Cappello (CoRR, 2024)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (CoRR, 2024)

TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU. - Shixun Wu; Yujia Zhai; Jinyang Liu 003; Jiajun Huang 001; Zizhe Jian; Huangliang Dai; Sheng Di; Zizhong Chen; Franck Cappello (CoRR, 2024)

HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data. - Tripti Agarwal; Sheng Di; Jiajun Huang 001; Yafan Huang; Ganesh Gopalakrishnan; Robert Underwood; Kai Zhao 008; Xin Liang 001; Guanpeng Li; Franck Cappello (CoRR, 2024)

DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership. - Shixun Wu; Krishnan Raghavan; Sheng Di; Zizhong Chen; Franck Cappello (CoRR, 2024)

High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. - Jinyang Liu 003; Sheng Di; Kai Zhao 008; Xin Liang 001; Sian Jin; Zizhe Jian; Jiajun Huang 001; Shixun Wu; Zizhong Chen; Franck Cappello (Proc. ACM Manag. Data, 2024)

Fast and Effective Lossy Compression on GPUs and CPUs with Guaranteed Error Bounds. - Alex Fallin; Noushin Azami; Sheng Di; Franck Cappello; Martin Burtscher (IPDPS, 2025)

Improving the Efficiency of Interpolation-based Scientific Data Compressors with Adaptive Quantization Index Prediction. - Pu Jiao; Sheng Di; Mingze Xia; Xuan Wu; Jinyang Liu 003; Xin Liang 001; Franck Cappello (IPDPS, 2025)

Sensitivity and Impacts on Parallel Compression of Prediction of Lossy Compression Ratios for Scientific Data. - Alexandra Poulos; Robert Underwood; Jon C. Calhoun; Sheng Di; Franck Cappello (IPDPS, 2025)

Lossy Parallel Visualization of Large-Scale Volume Data with Error-Bounded Image Compositing. - Yongfeng Qiu; Yuxiao Li 002; Xin Liang 001; Yafan Huang; Guanpeng Li; Sheng Di; Franck Cappello; Hanqi Guo 001 (IPDPS (Workshops), 2025)

Characterizing Spatial Data Traits for Modeling Generic Lossy Rate-Distortion Quality. - Md Hasanur Rahman 001; Sheng Di; Guanpeng Li; Franck Cappello (IPDPS (Workshops), 2025)

A Memory-Efficient and Computation-Balanced Lossy Compressor on Wafer-Scale Engine. - Shihui Song; Robert Underwood; Sheng Di; Yafan Huang; Peng Jiang 004; Franck Cappello (IPDPS, 2025)

To Compress or Not to Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O. - Grant Wilkins; Sheng Di; Jon C. Calhoun; Robert Underwood; Franck Cappello (IPDPS, 2025)

Enabling Efficient Error-Controlled Lossy Compression for Unstructured Scientific Data. - Xuan Wu; Sheng Di; Congrong Ren; Pu Jiao; Mingze Xia; Cheng Wang; Hanqi Guo 001; Xin Liang 001; Franck Cappello (IPDPS, 2025)

TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs. - Shixun Wu; Yujia Zhai; Jinyang Liu 003; Jiajun Huang 001; Zizhe Jian; Huangliang Dai; Sheng Di; Franck Cappello; Zizhong Chen (PPoPP, 2025)

DTIO: Data Stack for AI-driven Workflows. - Keith Alex Bateman; Neeraj Rajesh; Jaime Cernuda; Luke Logan; Bogdan Nicolae; Franck Cappello; Xian-He Sun; Anthony Kougkas (SSDBM, 2025)

Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. - Franck Cappello; Mario C. Acosta; Emmanuel Agullo; Hartwig Anzt; Jon Calhoun 001; Sheng Di; Luc Giraud; Thomas Grützmacher; Sian Jin; Kentaro Sano; Kento Sato; Amarjit Singh; et al. (Future Gener. Comput. Syst., 2025)

Preface of Special Issue on Highlights from the Joint-Laboratory on Extreme Scale Computing. - Franck Cappello; Ruth Partzsch; Daniel S. Katz (Future Gener. Comput. Syst., 2025)

PSZ: Enhancing the SZ Scientific Lossy Compressor With Progressive Data Retrieval. - Zhuoxun Yang; Sheng Di; Longtao Zhang; Ruoyu Li; Ximiao Li; Jiajun Huang 001; Jinyang Liu 003; Franck Cappello; Kai Zhao 008 (CoRR, 2025)

CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation. - Ziyue Liu; Ruijie Zhang; Zhengyang Wang; Zi Yang; Paul D. Hovland; Bogdan Nicolae; Franck Cappello; Zheng Zhang (CoRR, 2025)

ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Zhaorui Zhang; Jinyang Liu 003; Xiaoyi Lu; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Khalid Ayedh Alharthi; Zizhong Chen; et al. (CoRR, 2025)

EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. - 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; et al. (CoRR, 2025)

LCP: Enhancing Scientific Data Management with Lossy Compression for Particles. - Longtao Zhang; Ruoyu Li; Congrong Ren; Sheng Di; Jinyang Liu 003; Jiajun Huang 001; Robert Underwood; Pascal Grosset; Dingwen Tao; Xin Liang 001; Hanqi Guo 001; Franck Cappello; et al. (Proc. ACM Manag. Data, 2025)

Lossy Compression of Scientific Data: Applications Constrains and Requirements. - Franck Cappello; Allison H. Baker; Ebru Bozda; Martin Burtscher; Kyle Chard; Sheng Di; Paul Christopher O. Grady; Peng Jiang 004; Shaomeng Li; Erik Lindahl; Peter Lindstrom 001; Magnus Lundborg; et al. (CoRR, 2025)

QPET: A Versatile and Portable Quantity-of-Interest-preservation Framework for Error-Bounded Lossy Compression. - Jinyang Liu 003; Pu Jiao; Kai Zhao 008; Xin Liang 001; Sheng Di; Franck Cappello (Proc. VLDB Endow., 2025)

Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration. - Shixun Wu; Jinwen Pan; Jinyang Liu 003; Jiannan Tian; Ziwei Qiu; Jiajun Huang 001; Kai Zhao 008; Xin Liang 001; Sheng Di; Zizhong Chen; Franck Cappello (CoRR, 2025)

FedCSpc: A Cross-Silo Federated Learning System With Error-Bounded Lossy Parameter Compression. - Zhaorui Zhang; Sheng Di; Kai Zhao 008; Sian Jin; Dingwen Tao; Zhuoran Ji; Benben Liu; Khalid Ayedh Alharthi; Jiannong Cao 001; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2025)

Systematic Evaluation of Optimization Techniques for Long-Context Language Models. - Ammar Ahmed; Sheng Di; Franck Cappello; Zirui Liu 001; Jingoo Han; Ali Anwar 001 (CoRR, 2025)

GPZ: GPU-Accelerated Lossy Compressor for Particle Data. - Ruoyu Li; Yafan Huang; Longtao Zhang; Zhuoxun Yang; Sheng Di; Jiajun Huang 001; Jinyang Liu 003; Jiannan Tian; Xin Liang 001; Guanpeng Li; Hanqi Guo 001; Franck Cappello; et al. (CoRR, 2025)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (ACM Comput. Surv., 2025)