Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Jacob Brock"'
Publikováno v:
ISMM
Cache in multicore machines is often shared, and the cache performance depends on how memory accesses belonging to different programs interleave with one another. The full range of performance possibilities includes all possible interleavings, which
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 14:1-26
A problem on multicore systems is cache sharing, where the cache occupancy of a program depends on the cache usage of peer programs. Exclusive cache hierarchy as used on AMD processors is an effective solution to allow processor cores to have a large
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 14:1-25
Data race detection has become an important problem in GPU programming. Previous designs of CPU race-checking tools are mainly task parallel and incur high overhead on GPUs due to access instrumentation, especially when monitoring many thousands of t
Autor:
Johnathan Gill Freeman, Lisa Jayroe Barnes, Levi Bryant Fowler, Marty Jacob Brock, Devan Cord Richardson
Publikováno v:
Journal of Educational Evaluation for Health Professions, Vol 16 (2019)
Journal of Educational Evaluation for Health Professions
Journal of Educational Evaluation for Health Professions
Purpose: With the ever-changing cultural makeup of society, the ability to deliver culturally appropriate healthcare is essential. An educational method aimed at increasing cultural knowledge and sensitivity in the education of healthcare professiona
Just-in-time (JIT) compilation coupled with code caching are widely used to improve performance in dynamic programming language implementations. These code caches, along with the associated profiling data for the hot code, however, consume significan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91f20a431bb401ce9ad7ccffea4a6e7f
http://arxiv.org/abs/1810.09555
http://arxiv.org/abs/1810.09555
Publikováno v:
CC
Just-in-time (JIT) compilation in dynamic programming languages can improve execution speed in code with hot sections. However, that comes at the cost of increased memory usage for the storage of compiled code and associated bookkeeping data, as well
Publikováno v:
International Journal of Parallel Programming. 45:30-44
When renting computing power, fairness and overall performance are important for customers and service providers. However, strict fairness usually results in poor performance. In this paper, we study this trade-off. In our experiments, equal cache pa
Publikováno v:
ACM SIGMETRICS Performance Evaluation Review. 41:102-105
The rise of social media and cloud computing, paired with ever-growing storage capacity are bringing big data into the limelight, and rightly so. Data, it seems, can be found everywhere; It is harvested from our cars, our pockets, and soon even from
Publikováno v:
MEMSYS
As non-volatile memory is introduced alongside traditional memory, new mechanisms for managing memory are becoming necessary. In this paper, we propose the two variable-space heterogeneous VMIN (H-VMIN) and heterogeneous WS (H-WS) policies for flat D
Publikováno v:
ISMM
Shared caches are generally optimized to maximize the overall throughput, fairness, or both, among multiple competing programs. In shared environments and compute clouds, users are often unrelated to each other. In such circumstances, an overall gain