Collective Mind: Towards Practical and Collaborative Auto-Tuning

Autor: Davide Del Vento, Marc Baboulin, Michael Gerndt, Diego Novillo, Allen D. Malony, Renato Miceli, Zbigniew Chamski, Anton Lokhmotov, Grigori Fursin

Publikováno v: Scientific Programming
Scientific Programming, IOS Press, 2014, Automatic Application Tuning for HPC Architectures, 22 (4), pp.309-329. ⟨10.3233/SPR-140396⟩
Scientific Programming, Vol 22, Iss 4, Pp 309-329 (2014)
Scientific Programming, 2014, Automatic Application Tuning for HPC Architectures, 22 (4), pp.309-329. ⟨10.3233/SPR-140396⟩

Empirical auto-tuning and machine learning techniques have been showing high potential to improve execution time, power consumption, code size, reliability and other important metrics of various applications for more than two decades. However, they a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::030aa5e7a931e1a31fc5f2604e022598
https://doi.org/10.1155/2014/797348