Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nicolas Melot"'
Publikováno v:
PDP
For multi- and many-core CPUs, dynamic voltage and frequency scaling (DVFS) for individual cores provides an effective way for energy-efficient execution of applications. However, this requires additional hardware within the chip that regulates volta
Publikováno v:
ACSD
Stream programming abstracts parallelism complexity by modeling a program as a set of streaming tasks. Tasks run repeatedly and can even be internally parallel, i.e., use one or multiple cores simultaneously (moldable). The throughput of the streamin
Publikováno v:
SCOPES
Exploiting effectively massively parallel architectures is a major challenge that stream programming can help facilitate. We investigate the problem of generating energy-optimal code for a collection of streaming tasks that include parallelizable or
Publikováno v:
SCOPES
We demonstrate how static, energy-efficient, compiler-generated schedules for independent, parallelizable tasks on parallel machines can be improved by modeling idle power. We assume that the static power consumption of a core comprises a notable fra
Autor:
Nicolas Melot
The rise of many-core processor architectures in the market answers to a constantly growing need of processing power to solve more and more challenging problems such as the ones in computing for big data. Fast computation is more and more limited by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d484a3e31cec586134435c3c9a8fce88
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-132308
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-132308
Publikováno v:
ICPP Workshops
Scheduling algorithms published in the scientific literature are often difficult to evaluate or compare due to differences between the experimental evaluations in any two papers on the topic. Very few researchers share the details about the schedulin
Publikováno v:
PATMOS
We investigate the problem of generating energy-optimal code for a collection of streaming tasks that include parallelizable or malleable tasks on a generic many-core processor with dynamic discrete frequency scaling. Streaming task collections diffe
Publikováno v:
ICCS
The Single-Chip Cloud Computer (SCC) is an experimental processor created by Intel Labs. It comprises 48 Intel-x86 cores linked by an on-chip high performance mesh network, as well as four DDR3 memory controllers to access an off-chip main memory. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b75481a7182a4d4a5ee7813d045cf9c2
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-87970
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-87970