monopoly
发表于 2025-3-28 16:17:26
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Substance
发表于 2025-3-28 21:04:24
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Intruder
发表于 2025-3-29 02:34:31
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杀子女者
发表于 2025-3-29 05:15:41
Manycores in the Futuremerous, but not faster. They also may be less reliable. Chip-level parallelism raises important questions about architecture, software, algorithms, and applications. I’ll consider the directions in which the architecture may be headed, and look at the impact on parallel programming and scientific computing.
LIMN
发表于 2025-3-29 09:48:01
Coarse-Grain Time Slicing with Resource-Share Control in Parallel-Job Schedulingapproach provides control regarding the resource shares allocated to different job classes. We demonstrate that this approach significantly improves response times for short and medium jobs and that it permits controlling different desirable resource-shares for different job classes at different times of the day according to site policies.
Nmda-Receptor
发表于 2025-3-29 13:41:36
Programming Challenges for Petascale and Multicore Parallel Systems. Unlike previous generations of hardware evolution, this shift will have a major impact on existing software. For petascale, it is widely recognized by application experts that past approaches based on domain decomposition will not scale to exploit the parallelism available in future high-end syste
SPASM
发表于 2025-3-29 17:47:09
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hemophilia
发表于 2025-3-29 20:11:51
Bandwidth-Aware Design of Large-Scale Clusters for Scientific Computationsen developing a large scale PC cluster named PACS-CS (Parallel Array Computer System for Computational Sciences) at Center for Computational Sciences, University of Tsukuba, for wide variety of computational science applications such as computational physics, computational material science, etc. For
Adj异类的
发表于 2025-3-30 00:15:13
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LANCE
发表于 2025-3-30 04:47:42
Manycores in the Futuremerous, but not faster. They also may be less reliable. Chip-level parallelism raises important questions about architecture, software, algorithms, and applications. I’ll consider the directions in which the architecture may be headed, and look at the impact on parallel programming and scientific co