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ORCIDSerge G. Petiton
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2020 – today
- 2023
[c65]Maxence Vandromme, Serge G. Petiton:
Graph structure and homophily for label propagation in Graph Neural Networks. MCSoC 2023: 194-201- 2022
- [c64]Quentin R. Petit, Chong Li, Serge G. Petiton, Kelun Chai, Nahid Emad:
Enhancing Graph Convolutional Networks by Topology Sampling. IEEE Big Data 2022: 1316-1323 - [c63]Pierrick Pochelu
, Bruno Conche, Serge G. Petiton:
Distributed Ensembles of Reinforcement Learning Agents for Electricity Control. COINS 2022: 1-6 - [c62]Pierrick Pochelu, Serge G. Petiton, Bruno Conche:
A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters. HPC Asia 2022: 61-71 - [c61]Maxence Vandromme, Jérôme Gurhem, Miwako Tsuji, Serge G. Petiton, Mitsuhisa Sato:
Scaling the PageRank Algorithm for Very Large Graphs on the Fugaku Supercomputer. ICCS (1) 2022: 389-402 - [c60]Maxence Vandromme, Serge G. Petiton:
Efficient Parallel PageRank Algorithm for Network Analysis. IPDPS Workshops 2022: 1143-1152 - [c59]Pierrick Pochelu, Clara Erard, Philippe Cordier, Serge G. Petiton, Bruno Conche:
Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap images. IVSP 2022: 14-24 - [i5]Pierrick Pochelu, Serge G. Petiton, Bruno Conche:
A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters. CoRR abs/2208.14046 (2022) - [i4]Pierrick Pochelu, Serge G. Petiton, Bruno Conche:
An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks. CoRR abs/2208.14049 (2022) - [i3]Pierrick Pochelu, Clara Erard, Philippe Cordier, Serge G. Petiton, Bruno Conche:
Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap images. CoRR abs/2208.14060 (2022) - [i2]Pierrick Pochelu, Serge G. Petiton, Bruno Conche:
Distributed Ensembles of Reinforcement Learning Agents for Electricity Control. CoRR abs/2208.14338 (2022) - 2021
- [c58]Pierrick Pochelu, Serge G. Petiton, Bruno Conche:
An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks. IEEE BigData 2021: 5225-5232 - [c57]Jérôme Gurhem, Maxence Vandromme, Miwako Tsuji, Serge G. Petiton, Mitsuhisa Sato:
Sequences of Sparse Matrix-Vector Multiplication on Fugaku's A64FX processors. CLUSTER 2021: 751-758 - [c56]Jérôme Gurhem, Henri Calandra, Serge G. Petiton:
Parallel and Distributed Task-Based Kirchhoff Seismic Pre-Stack Depth Migration Application. ISPDC 2021: 65-72 - [p4]Miwako Tsuji, Hitoshi Murai, Taisuke Boku, Mitsuhisa Sato, Serge G. Petiton, Nahid Emad, Thomas Dufaud, Joachim Protze, Christian Terboven, Matthias S. Müller:
Multi-SPMD Programming Model with YML and XcalableMP. XcalableMP PGAS Programming Language 2021: 219-243 - 2020
- [j11]Xinzhe Wu, Serge G. Petiton, Yutong Lu:
A parallel generator of non-Hermitian matrices computed from given spectra. Concurr. Comput. Pract. Exp. 32(20) (2020) - [c55]Jérôme Gurhem, Serge G. Petiton:
A Current Task-Based Programming Paradigms Analysis. ICCS (5) 2020: 203-216 - [p3]Joachim Protze, Miwako Tsuji, Christian Terboven, Thomas Dufaud, Hitoshi Murai, Serge G. Petiton, Nahid Emad, Matthias S. Müller, Taisuke Boku:
MYX: Runtime Correctness Analysis for Multi-Level Parallel Programming Paradigms. Software for Exascale Computing 2020: 545-567
2010 – 2019
- 2019
- [j10]Xinzhe Wu, Serge G. Petiton:
A distributed and parallel asynchronous unite and conquer method to solve large scale non-Hermitian linear systems with multiple right-hand sides. Parallel Comput. 89 (2019) - [c54]Jérôme Gurhem, Miwako Tsuji, Serge G. Petiton, Mitsuhisa Sato:
Distributed and Parallel Programming Paradigms on the K computer and a Cluster. HPC Asia 2019: 9-17 - 2018
- [c53]Xinzhe Wu, Serge G. Petiton:
A Distributed and Parallel Asynchronous Unite and Conquer Method to Solve Large Scale Non-Hermitian Linear Systems. HPC Asia 2018: 36-46 - [c52]Xinzhe Wu, Serge G. Petiton, Yutong Lu:
A Parallel Generator of Non-Hermitian Matrices Computed from Given Spectra. VECPAR 2018: 215-229 - 2017
- [c51]Alexandre Fender, Nahid Emad, Serge G. Petiton, Maxim Naumov:
Parallel Modularity Clustering. ICCS 2017: 1793-1802 - [c50]Alexandre Fender, Nahid Emad, Serge G. Petiton, Joe Eaton, Maxim Naumov:
Parallel jaccard and related graph clustering techniques. ScalA@SC 2017: 4:1-4:8 - [c49]Joachim Protze, Christian Terboven, Matthias S. Müller, Serge G. Petiton, Nahid Emad, Hitoshi Murai, Taisuke Boku:
Runtime Correctness Checking for Emerging Programming Paradigms. CORRECTNESS@SC 2017: 21-27 - 2016
- [j9]Nahid Emad, Serge G. Petiton:
Unite and conquer approach for high scale numerical computing. J. Comput. Sci. 14: 5-14 (2016) - [c48]Alexandre Fender, Nahid Emad, Joe Eaton, Serge G. Petiton:
Accelerated Hybrid Approach for Spectral Problems Arising in Graph Analytics. ICCS 2016: 2338-2347 - 2015
- [c47]Langshi Chen, Serge G. Petiton:
A TSQR Based Krylov Basis Computation Method on Hybrid GPU Cluster. CLUSTER 2015: 106-109 - [c46]Fan Ye, Christophe Calvin, Serge G. Petiton:
An Efficient Task-Based Execution Model for Stochastic Linear Solver on Multi-core and Many-Core Systems. CSE 2015: 200-207 - [c45]Miwako Tsuji, Serge G. Petiton, Mitsuhisa Sato:
Fault tolerance features of a new multi-SPMD programming/execution environment. ESPM@SC 2015: 20-27 - 2014
- [c44]Langshi Chen, Serge G. Petiton, Leroy Anthony Drummond, Maxime R. Hugues:
A Communication Optimization Scheme for Basis Computation of Krylov Subspace Methods on Multi-GPUs. VECPAR 2014: 3-16 - [c43]Fan Ye, Christophe Calvin, Serge G. Petiton:
A Study of SpMV Implementation Using MPI and OpenMP on Intel Many-Core Architecture. VECPAR 2014: 43-56 - [c42]France Boillod-Cerneux, Serge G. Petiton, Christophe Calvin, Leroy Anthony Drummond:
Toward Restarting Strategies Tuning for a Krylov Eigenvalue Solver. VECPAR 2014: 259-268 - 2013
- [j8]Xin Lv, Feng Xu, Serge G. Petiton:
Cryptographic Cloud Storage with Public Verifiability: Ensuring Data Security of the YML Framework. Intell. Autom. Soft Comput. 19(2): 111-121 (2013) - [c41]Christophe Calvin, Fan Ye, Serge G. Petiton:
The Exploration of Pervasive and Fine-Grained Parallel Model Applied on Intel Xeon Phi Coprocessor. 3PGCIC 2013: 166-173 - [c40]Miwako Tsuji, Mitsuhisa Sato, Maxime R. Hugues, Serge G. Petiton:
Multiple-SPMD Programming Environment Based on PGAS and Workflow toward Post-petascale Computing. ICPP 2013: 480-485 - 2012
- [c39]Takahiro Katagiri, Pierre-Yves Aquilanti, Serge G. Petiton:
A Smart Tuning Strategy for Restart Frequency of GMRES(m) with Hierarchical Cache Sizes. VECPAR 2012: 314-328 - 2011
- [j7]Jérôme Dubois, Christophe Calvin, Serge G. Petiton:
Accelerating the Explicitly Restarted Arnoldi Method with GPUs Using an Autotuned Matrix Vector Product. SIAM J. Sci. Comput. 33(5): 3010-3019 (2011) - [c38]Jérôme Dubois, Christophe Calvin, Serge G. Petiton:
Improving Scalability Using Hybrid Asynchronous Methods For Non-Hermitian Eigenproblems. ICCS 2011: 222-230 - [c37]Maxime R. Hugues, Michael Moretti, Serge G. Petiton, Henri Calandra:
ASIODS - An Asynchronous and Smart I/O Delegation System. ICCS 2011: 471-478 - [c36]Pierre-Yves Aquilanti, Serge G. Petiton, Henri Calandra:
Parallel GMRES Incomplete Orthogonalization Auto-Tuning. ICCS 2011: 2246-2256 - 2010
- [j6]Ling Shang, Maxime R. Hugues, Serge G. Petiton:
A Fine-grained Task Based Parallel Programming Paradigm of Gauss-Jordan Algorithm. J. Comput. 5(10): 1510-1519 (2010) - [j5]Lamine M. Aouad, Serge G. Petiton:
A grid-based programming approach for distributed linear algebra applications. Multiagent Grid Syst. 6(3): 209-223 (2010) - [c35]Lamine M. Aouad, M. Tahar Kechadi, Serge G. Petiton:
Persistent Locality Management of Scientific Application Workflows. CSE 2010: 404-409 - [c34]Maxime R. Hugues, Serge G. Petiton:
Sparse Matrix Formats Evaluation and Optimization on a GPU. HPCC 2010: 122-129 - [c33]Jérôme Dubois, Christophe Calvin, Serge G. Petiton:
Performance and Numerical Accuracy Evaluation of Heterogeneous Multicore Systems for Krylov Orthogonal Basis Computation. VECPAR 2010: 45-57 - [p2]Ling Shang, Serge G. Petiton, Nahid Emad, Xiaolin Yang:
YML-PC: A Reference Architecture Based on Workflow for Building Scientific Private Clouds. Cloud Computing 2010: 145-162
2000 – 2009
- 2009
- [j4]Laurent Choy, Serge G. Petiton, Mitsuhisa Sato:
Resolution of large symmetric eigenproblems on a world-wide grid. Int. J. Grid Util. Comput. 1(2): 71-85 (2009) - [c32]Laurent Choy, Olivier Delannoy, Nahid Emad, Serge G. Petiton:
Federation and Abstraction of Heterogeneous Global Computing Platforms with the YML Framework. CISIS 2009: 451-456 - [c31]Ling Shang, Serge G. Petiton, Nahid Emad, Xiaolin Yang, Zhijian Wang:
Extending YML to Be a Middleware for Scientific Cloud Computing. CloudCom 2009: 662-667 - [c30]Ling Shang, Serge G. Petiton, Maxime R. Hugues:
A New Parallel Paradigm for Block-Based Gauss-Jordan Algorithm. GCC 2009: 193-200 - [p1]Laurent Choy, Serge G. Petiton, Mitsuhisa Sato:
Large Scale Distributed and Parallel Computing for Linear Algebra Problems: Practice and Experience. Parallel Programming, Models and Applications in Grid and P2P Systems 2009: 261-291 - 2008
- [c29]Ling Shang, Zhijian Wang, Serge G. Petiton, Yuansheng Lou, Zhizhong Liu:
Large Scale Computing on Component Based Framework Easily Adaptive to Cluster and Grid Environments. ChinaGrid 2008: 70-77 - [c28]Ling Shang, Zhijian Wang, Serge G. Petiton, Feng Xu:
Solution of Large Scale Matrix Inversion on Cluster and Grid. GCC 2008: 33-40 - [c27]Ye Zhang, Guy Bergére, Zifan Liu, Serge G. Petiton:
Performance Analysis in Grid: A Large Scale Computing Based on Hybrid GMRES Method. HPCC 2008: 683-688 - [c26]Ye Zhang, Guy Bergére, Serge G. Petiton:
Large Scale Parallel Hybrid GMRES Method for the Linear System on Grid System. ISPDC 2008: 244-249 - [c25]Ye Zhang, Guy Bergére, Serge G. Petiton:
Grid Computing: A Case Study in Hybrid GMRES Method. NPC 2008: 286-296 - [c24]Maxime R. Hugues, Serge G. Petiton:
A Matrix Inversion Method with YML/OmniRPC on a Large Scale Platform. VECPAR 2008: 95-108 - 2007
- [c23]Laurent Choy, Serge G. Petiton, Mitsuhisa Sato:
Resolution of large symmetric eigenproblems on a world wide grid. CCGRID 2007: 301-308 - [c22]Laurent Choy, Serge G. Petiton, Mitsuhisa Sato:
Toward power-aware computing with dynamic voltage scaling for heterogeneous platforms. CLUSTER 2007: 550-557 - [c21]Ye Zhang, Guy Bergére, Serge G. Petiton:
A Parallel Hybrid Method of GMRES on GRID System. IPDPS 2007: 1-7 - 2006
- [j3]Haiwu He, Guy Bergére, Serge G. Petiton:
A hybrid GMRES/LS-arnoldi method to accelerate the parallel solution of linear systems. Comput. Math. Appl. 51(11): 1647-1662 (2006) - [c20]Lamine M. Aouad, Serge G. Petiton:
Parallel Basic Matrix Algebra on the Grid'5000 Large Scale Distributed Platform. CLUSTER 2006 - [c19]Sébastien Noël, Olivier Delannoy, Nahid Emad, Pierre Manneback, Serge G. Petiton:
A Multi-level Scheduler for the Grid Computing YML Framework. Euro-Par Workshops 2006: 87-100 - [c18]Olivier Delannoy, Nahid Emad, Serge G. Petiton:
Workflow Global Computing with YML. GRID 2006: 25-32 - [i1]Benoit Hudzia, Serge G. Petiton:
Reliable multicast fault tolerant MPI in the Grid environment. CoRR abs/cs/0608114 (2006) - 2005
- [j2]Nahid Emad, Serge G. Petiton, Guy Edjlali:
Multiple Explicitly Restarted Arnoldi Method for Solving Large Eigenproblems. SIAM J. Sci. Comput. 27(1): 253-277 (2005) - [c17]Lamine M. Aouad, Serge G. Petiton, Mitsuhisa Sato:
Grid and Cluster Matrix Computation with Persistent Storage and Out-of-core Programming. CLUSTER 2005: 1-9 - [c16]Laurent Choy, Serge G. Petiton:
Toward global and grid computing for large scale linear algebra problems. CLUSTER 2005: 1-10 - [c15]Haiwu He, Guy Bergére, Serge G. Petiton:
GMRES Method on Lightweight GRID System. ISPDC 2005: 74-82 - [c14]Serge G. Petiton, Lamine M. Aouad, Laurent Choy:
Peer to Peer Large Scale Linear Algebra Programming and Experimentations. LSSC 2005: 430-437 - 2004
- [c13]Lamine M. Aouad, Serge G. Petiton:
Experimentations and Programming Paradigms for Matrix Computing on Peer to Peer Grid. GRID 2004: 306-311 - [c12]Olivier Delannoy, Serge G. Petiton:
A Peer to Peer Computing Framework: Design and Performance Evaluation of YML. ISPDC/HeteroPar 2004: 362-369 - 2003
- [c11]Serge G. Petiton, Lamine M. Aouad:
Large Scale Peer to Peer Performance Evaluations, with Gauss-Jordan Method as an Example. PPAM 2003: 938-945 - 2002
- [c10]Ani Sedrakian, Serge G. Petiton:
MPI and Coarse Grain OpenMP for Sparse Matrix Arnoldi Computation. PDPTA 2002: 1983-1988 - 2001
- [c9]Nahid Emad, Serge G. Petiton, Ani Sedrakian:
A Comparison Between Parallel Multiple Explicitly Restarted and Explicitly Restarted Block Arnoldi Methods. PP 2001 - 2000
- [j1]Nouredine Melab, El-Ghazali Talbi, Serge G. Petiton:
A Parallel Adaptive Gauss-Jordan Algorithm. J. Supercomput. 17(2): 167-185 (2000)
1990 – 1999
- 1999
- [c8]Nordine Melab, El-Ghazali Talbi, Serge G. Petiton:
A Parallel Adaptive version of the Block-based Gauss-Jordan Algorithm. IPPS/SPDP 1999: 350-354 - [c7]Azeddine Essai, Guy Bergére, Serge G. Petiton:
Heterogeneous Parallel Hybrid GMRES/LS-Arnoldi Method. PP 1999 - 1996
- [c6]Serge G. Petiton, Nahid Emad:
A Data Parallel Scientific Computing Introduction. The Data Parallel Programming Model 1996: 45-64 - 1994
- [c5]Serge G. Petiton:
Data Parallel Sparse Matrix Computation on CM-2 and CM-5 for Iterative Methods. Applications in Parallel and Distributed Computing 1994: 41-51 - 1993
- [c4]Serge G. Petiton, Guy Edjlali:
Data Parallel Structures and Algorithms for Sparse Matrix Computation. PARCO 1993: 177-184 - [c3]Yousef Saad, Kesheng Wu, Serge G. Petiton:
Sparse Matrix Computations on the CM-5. PPSC 1993: 414-420 - [c2]William R. Ferng, Serge G. Petiton, Kesheng Wu:
Basic Sparse Computations on Data Parallel Computers. PPSC 1993: 462-466 - 1992
- [c1]Serge G. Petiton, Christine Weill-Duflos:
Massively Parallel Preconditioners for the Sparse Conjugate Gradient Method. CONPAR 1992: 373-378
Coauthor Index
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