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
2 ParSys - LRI - Systèmes parallèles (LRI)
3 UVSQ - Université de Versailles Saint-Quentin-en-Yvelines
4 ST-GRENOBLE - STMicroelectronics [Grenoble]

This is a report about HiPEAC-funded internship at STMicroelectronics to systematize optimization and co-design of computer systems using machine learning.

Domaines: Performance et fiabilité [cs.PF]; Architectures Matérielles [cs.AR]; Machine Learning [stat.ML]; Bibliothèque électronique [cs.DL]; Langage de programmation [cs.PL]; Web

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