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Brice Goglin
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Documents
Identifiants chercheurs
- brice-goglin
- IdRef : 104493887
- Google Scholar : https://scholar.google.com/citations?hl=en&user=4k2wmz8AAAAJ
- 0000-0002-8671-4615
Présentation
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Profiles of upcoming HPC Applications and their Impact on Reservation StrategiesIEEE Transactions on Parallel and Distributed Systems, 2021, 32 (5), pp.1178-1190. ⟨10.1109/TPDS.2020.3039728⟩
Article dans une revue
hal-03010676v1
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Co-scheduling HPC workloads on cache-partitioned CMP platformsInternational Journal of High Performance Computing Applications, 2019, 33 (6), pp.1221-1239. ⟨10.1177/1094342019846956⟩
Article dans une revue
hal-02093172v1
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Modeling High-throughput Applications for in situ AnalyticsInternational Journal of High Performance Computing Applications, 2019, 33 (6), pp.1185-1200. ⟨10.1177/1094342019847263⟩
Article dans une revue
hal-02091340v1
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Co-scheduling HPC workloads on cache-partitioned CMP platformsIEEE Cluster 2018, Sep 2018, Belfast, United Kingdom. pp.335-345
Communication dans un congrès
hal-01874154v1
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Modeling HPC applications for in situ AnalyticsIPDPS 2019 - 33rd IEEE International Parallel and Distributed Processing Symposium, May 2019, Rio de Janeiro, Brazil
Poster de conférence
hal-02567370v1
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Profiles of upcoming HPC Applications and their Impact on Reservation Strategies[Research Report] RR-9359, Inria & Labri, Université Bordeaux. 2020, pp.30
Rapport
hal-02921487v1
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Reservation and Checkpointing Strategies for Stochastic Jobs (Extended Version)[Research Report] RR-9294, Inria & Labri, Univ. Bordeaux; Department of EECS, Vanderbilt University, Nashville, TN, USA; Laboratoire LIP, ENS Lyon & University of Tennessee Knoxville, Lyon, France. 2019
Rapport
hal-02328013v2
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Co-scheduling HPC workloads on cache-partitioned CMP platforms[Research Report] RR-9154, Inria. 2018
Rapport
hal-01719728v1
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