Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ariel Eizenberg"'
Publikováno v:
ASPLOS
Correctly synchronizing multithreaded programs is challenging and errors can lead to program failures such as atomicity violations. Existing strong memory consistency models rule out some possible failures, but are limited by depending on programmer-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8e814730103a0135ba83a0009786a61
https://doi.org/10.1145/3296957.3173192
https://doi.org/10.1145/3296957.3173192
Publikováno v:
IPDPS
Data races are one of the main culprits behind the complexity of multithreaded programming. Existing data race detectors require large amounts of metadata for each program variable to perform their analyses. The SLIMFAST system exploits the insight t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a03a6d6aff5c45ba2d185e9cb985b7c
https://doi.org/10.1109/ipdps.2018.00093
https://doi.org/10.1109/ipdps.2018.00093
Publikováno v:
MICRO
Cache contention in the form of false sharing and true sharing arises when threads overshare cache lines at high frequency. Such oversharing can reduce or negate the performance benefits of parallel execution. Prior systems for detecting and repairin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3411f4bf9209b5b749d4d2c6c25cd236
https://doi.org/10.1145/3123939.3123947
https://doi.org/10.1145/3123939.3123947
Publikováno v:
PLDI
GPU programming models enable and encourage massively parallel programming with over a million threads, requiring extreme parallelism to achieve good performance. Massive parallelism brings significant correctness challenges by increasing the possibi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3df876f571d9feab1949e2f3d5cf2ac1
https://doi.org/10.1145/3062341.3062342
https://doi.org/10.1145/3062341.3062342
Publikováno v:
PLDI
As ever more computation shifts onto multicore architectures, it is increasingly critical to find effective ways of dealing with multithreaded performance bugs like true and false sharing. Previous approaches to fixing false sharing in unmanaged lang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da13b97273844a7d5debd40c4100d553
https://doi.org/10.1145/2908080.2908090
https://doi.org/10.1145/2908080.2908090