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Collective Mind, Part II: technical report

Grigori Fursin 1, 2 
1 GRAND-LARGE - Global parallel and distributed computing
LRI - Laboratoire de Recherche en Informatique, LIFL - Laboratoire d'Informatique Fondamentale de Lille, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
2 ParSys - LRI - Systèmes parallèles (LRI)
LRI - Laboratoire de Recherche en Informatique
Abstract : Nowadays, engineers have to develop software often without even knowing which hardware it will eventually run on in numerous mobile phones, tablets, laptops, data centers, supercomputers and cloud services. Unfortunately, optimizing compilers often fail to produce fast and energy efficient code across all hardware configurations. In this technical report, we present the first to our knowledge practical, collaborative, publicly available and Wikipedia-inspired solution to this problem based on our recent Collective Mind Infrastructure and Repository.
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Submitted on : Friday, September 19, 2014 - 11:47:43 AM
Last modification on : Sunday, June 26, 2022 - 12:01:59 PM
Long-term archiving on: : Friday, April 14, 2017 - 1:46:47 PM


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Grigori Fursin. Collective Mind, Part II: technical report. 2013. ⟨hal-01066126⟩



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