Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Nicolas Tollenaere"'
Autor:
Nicolas Tollenaere, Guillaume Iooss, Stéphane Pouget, Hugo Brunie, Christophe Guillon, Albert Cohen, P. Sadayappan, Fabrice Rastello
Publikováno v:
ACM Transactions on Architecture and Code Optimization
ACM Transactions on Architecture and Code Optimization, 2022, pp.1-23. ⟨10.1145/3570641⟩
ACM Transactions on Architecture and Code Optimization, 2022, pp.1-23. ⟨10.1145/3570641⟩
A wide range of scientific and machine learning applications depend on highly optimized implementations of tensor computations. Exploiting the full capacity of a given processor architecture remains a challenging task, due to the complexity of the mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd202094b5bc6a7a75968ce024de15fe
https://inria.hal.science/hal-03844272
https://inria.hal.science/hal-03844272
Autor:
Guillaume Iooss, Atanas Rountev, P. Sadayappan, Fabrice Rastello, Nicolas Tollenaere, Auguste Olivry
Publikováno v:
PLDI 2021-42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation
PLDI 2021-42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, Jun 2021, Virtual, Canada. ⟨10.1145/3453483⟩
PLDI
PLDI 2021-42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, Jun 2021, Virtual, Canada
PLDI 2021-42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, Jun 2021, Virtual, Canada. ⟨10.1145/3453483⟩
PLDI
PLDI 2021-42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, Jun 2021, Virtual, Canada
International audience; Evaluating the complexity of an algorithm is an important step when developing applications, as it impacts both its time and energy performance. Computational complexity, which is the number of dynamic operations regardless of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bf09aaaff5eea355f085314494eef67
https://inria.hal.science/hal-03200539v2/file/main.pdf
https://inria.hal.science/hal-03200539v2/file/main.pdf