Myofibrils 发表于 2025-3-26 23:24:00

https://doi.org/10.1007/978-3-030-36592-9artificial intelligence; computer hardware; computer networks; computer programming; distributed compute

手段 发表于 2025-3-27 03:38:35

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技术 发表于 2025-3-27 06:51:00

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知识分子 发表于 2025-3-27 11:36:30

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绿州 发表于 2025-3-27 15:49:10

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冬眠 发表于 2025-3-27 20:47:59

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AGOG 发表于 2025-3-27 22:17:37

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Paradox 发表于 2025-3-28 05:01:37

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neutrophils 发表于 2025-3-28 07:18:58

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付出 发表于 2025-3-28 12:23:12

Data-Parallel High-Precision Multiplication on Graphics Processing Unitshigh-precision format is based on the residue number system (RNS). In RNS, the number is represented as a tuple of residues obtained by dividing this number by a given set of moduli. The residues are mutually independent, which eliminates carry propagation delays and introduces parallelism in arithm
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查看完整版本: Titlebook: Supercomputing; 5th Russian Supercom Vladimir Voevodin,Sergey Sobolev Conference proceedings 2019 Springer Nature Switzerland AG 2019 artif