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HiPEAC Internship report: Machine Learning for Compilation and Architecture

Grigori Fursin 1, 2 Abdul Wahid Memon 3 Christophe Guillon 4
1 GRAND-LARGE - Global parallel and distributed computing
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LIFL - Laboratoire d'Informatique Fondamentale de Lille, LRI - Laboratoire de Recherche en Informatique
2 ParSys - LRI - Systèmes parallèles (LRI)
LRI - Laboratoire de Recherche en Informatique
Abstract : This is a report about HiPEAC-funded internship at STMicroelectronics to systematize optimization and co-design of computer systems using machine learning.
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https://hal.inria.fr/hal-00907143
Contributor : Grigori Fursin <>
Submitted on : Thursday, November 21, 2013 - 12:00:14 AM
Last modification on : Thursday, July 8, 2021 - 3:48:43 AM
Long-term archiving on: : Saturday, April 8, 2017 - 1:58:15 AM

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  • HAL Id : hal-00907143, version 1

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Grigori Fursin, Abdul Wahid Memon, Christophe Guillon. HiPEAC Internship report: Machine Learning for Compilation and Architecture. 2013. ⟨hal-00907143⟩

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