Towards an auto-tuning system design for optimal sparse compression format selection with user expertise

Ichrak Mehrez; Olfa Hamdi-Larbi; Thomas Dufaud; Nahid Emad

doi:10.1109/AICCSA.2016.7945829

Conference papers

Towards an auto-tuning system design for optimal sparse compression format selection with user expertise

Ichrak Mehrez Olfa Hamdi-Larbi ¹ Thomas Dufaud ^{2, 3} Nahid Emad ¹

1 PRISM - Parallélisme, Réseaux, Systèmes, Modélisation

2 LI-PaRAD - Laboratoire d'Informatique Parallélisme Réseaux Algorithmes Distribués

3 MDLS - Maison de la Simulation

Document type :

Conference papers

Domain :

Computer Science [cs] / Distributed, Parallel, and Cluster Computing [cs.DC]

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https://hal.archives-ouvertes.fr/hal-01726670
Contributor : Thomas Dufaud Connect in order to contact the contributor
Submitted on : Thursday, March 8, 2018 - 2:57:13 PM
Last modification on : Wednesday, May 11, 2022 - 12:36:04 PM

Towards an auto-tuning system design for optimal sparse compression format selection with user expertise

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Towards an auto-tuning system design for optimal sparse compression format selection with user expertise

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