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Emulating High Performance Linpack on a Commodity Server at the Scale of a Supercomputer

 Tom Cornebize , Franz C Heinrich , Arnaud Legrand , Jérôme Vienne
2017
Pré-publication, Document de travail hal-01654804v1
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Fast and Faithful Performance Prediction of MPI Applications: the HPL Case Study

 Tom Cornebize , Arnaud Legrand , Franz C Heinrich
2019 IEEE International Conference on Cluster Computing (CLUSTER), Sep 2019, Albuquerque, United States. ⟨10.1109/CLUSTER.2019.8891011⟩
Communication dans un congrès hal-02096571v4
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Simulation-based Optimization and Sensibility Analysis of MPI Applications: Variability Matters

 Tom Cornebize , Arnaud Legrand
Journal of Parallel and Distributed Computing, 2022, ⟨10.1016/j.jpdc.2022.04.002⟩
Article dans une revue hal-03141988v2
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Efficient and Generalized Decentralized Monitoring of Regular Languages

 Yliès Falcone , Tom Cornebize , Jean-Claude Fernandez
34th Formal Techniques for Networked and Distributed Systems (FORTE), Jun 2014, Berlin, Germany. pp.66-83, ⟨10.1007/978-3-662-43613-4_5⟩
Communication dans un congrès hal-00972559v1
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DGEMM performance is data-dependent

 Tom Cornebize , Arnaud Legrand
[Research Report] RR-9310, Université Grenoble Alpes; Inria; CNRS. 2019
Rapport hal-02401760v1
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Predicting the Energy Consumption of MPI Applications at Scale Using a Single Node

 Franz C. Heinrich , Tom Cornebize , Augustin Degomme , Arnaud Legrand , Alexandra Carpen-Amarie , et al.
Cluster 2017, IEEE, Sep 2017, Hawaii, United States
Communication dans un congrès hal-01523608v2
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