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Titlebook: Benchmarking, Measuring, and Optimizing; Second BenchCouncil Wanling Gao,Jianfeng Zhan,Dan Stanzione Conference proceedings 2020 Springer

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發(fā)表于 2025-3-26 23:19:45 | 只看該作者
32#
發(fā)表于 2025-3-27 02:56:41 | 只看該作者
0302-9743 19, held in Denver, CO, USA, in November 2019...The 20 full papers and 11 short papers presented were carefully reviewed and selected from 79 submissions...The papers are organized in topical sections named: Best Paper Session; AI Challenges on Cambircon using AIBenc; AI Challenges on RISC-V using A
33#
發(fā)表于 2025-3-27 08:44:37 | 只看該作者
https://doi.org/10.1007/978-81-322-1774-9ccess. Thus, we propose a solution for accelerating the ALS-WR algorithm by exploiting parallelism, sparsity and locality on x86 platforms. Our PSL can process 20 million ratings and the speedup using multi-threading is up?to 14.5. on a 20-core machine.
34#
發(fā)表于 2025-3-27 09:45:13 | 只看該作者
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發(fā)表于 2025-3-27 17:28:24 | 只看該作者
Infectious Diseases and Arthropodsis methodology and performance numbers, we have some key observations and implications that are valuable for the future DL hardware and software co-design. Furthermore, we explore the upper bound of MLU100 inference performance under the standard ResNet-50 model and CIFAR-10 dataset.
36#
發(fā)表于 2025-3-27 20:16:48 | 只看該作者
37#
發(fā)表于 2025-3-27 23:02:03 | 只看該作者
38#
發(fā)表于 2025-3-28 05:02:16 | 只看該作者
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發(fā)表于 2025-3-28 08:33:07 | 只看該作者
40#
發(fā)表于 2025-3-28 11:23:21 | 只看該作者
https://doi.org/10.1007/978-3-030-49556-5artificial intelligence; computer hardware; computer programming; computer systems; computer vision; data
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