Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Caio Henrique Segawa Tonetti"'
Publikováno v:
Journal of Universal Computer Science, Vol 25, Iss 1, Pp 42-72 (2019)
The literature presents several auto-tunning systems for compiler optimizations, which employ a variety of techniques; however, most systems do not explore the premise that a large amount of program runtime is spent by hot functions which are the por
Externí odkaz:
https://doaj.org/article/a20801c2647646868c0b0c7d1fdef5dc
Publikováno v:
IEEE Latin America Transactions. 18:1185-1192
An important component of virtual machines is the adaptive optimization system, which decides what methods to optimize and what compiler optimization set to enable. In this context, this paper presents the development of an auto-tuning adaptive optim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bb8e3d8a22cf76a8e41fbde7886679b
https://doi.org/10.1109/tla.2020.9099758
https://doi.org/10.1109/tla.2020.9099758
Publikováno v:
SCCC
It is well-known that a large amount of program runtime is spent by hot functions. It highly indicates that such functions should guide the process of exploring which compiler optimization sequence will be used during the translation of source code i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f210dda4111fd9135a5b102b792fb0c
https://doi.org/10.1109/sccc.2016.7836038
https://doi.org/10.1109/sccc.2016.7836038