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Titlebook: Algorithms and Architectures for Parallel Processing; 22nd International C Weizhi Meng,Rongxing Lu,Jaideep Vaidya Conference proceedings 20

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樓主: Croching
11#
發(fā)表于 2025-3-23 10:01:34 | 只看該作者
,: Scalable Pattern Approximate Counting in?Graph Mining,ques are adopted to emphasize the sample tail to improve fitting accuracy. The prototype of . is implemented with GraphX on Spark, and is evaluated against various well-known graphs. The experimental results show that . is up to 10x faster than accurate counting, keeping the same error level below 1
12#
發(fā)表于 2025-3-23 14:58:10 | 只看該作者
Haica: A High Performance Computing & Artificial Intelligence Fused Computing Architecture,nd TF32. Second, inspired by the idea of splicing high precision with low precision, we replace the multiply and merge modules in a double-precision FMA with a modified systolic array that is composed of the proposed low-precision FMAs. We implement the logic design of Haica using RTL and evaluate i
13#
發(fā)表于 2025-3-23 18:47:06 | 只看該作者
,AOA: Adaptive Overclocking Algorithm on?CPU-GPU Heterogeneous Platforms,straints; secondly, instead of independently overclocking at both CPU and GPU sides, coordinately overclocking on CPU-GPU must be considered to adapt to real-time load balance for higher performance improvement and better energy constraints. This paper proposes an . (AOA) on CPU-GPU heterogeneous pl
14#
發(fā)表于 2025-3-24 01:27:48 | 只看該作者
,GEM: Execution-Aware Cache Management for?Graph Analytics,simulator and evaluate the performance on various algorithms using several large real-world graphs. The result shows that GEM outperforms the state-of-the-art graph-specialized cache management by . on average and up to . in the best case, with up to . reduction of expensive off-chip memory accesses
15#
發(fā)表于 2025-3-24 06:04:24 | 只看該作者
16#
發(fā)表于 2025-3-24 08:43:40 | 只看該作者
17#
發(fā)表于 2025-3-24 12:44:55 | 只看該作者
,Long-Term Fairness Scheduler for?Pay-as-You-Use Cache Sharing Systems,ugh group purchasing, which not only allows users to get more resources than when they buy them individually, but also encourages them to lend free resources or resources occupied by low-frequency data to others to get more revenue in the future. Second, FairCache satisfies pay-as-you-go fairness, e
18#
發(fā)表于 2025-3-24 16:45:48 | 只看該作者
19#
發(fā)表于 2025-3-24 19:22:49 | 只看該作者
Algorithms and Architectures for Parallel Processing22nd International C
20#
發(fā)表于 2025-3-25 01:30:12 | 只看該作者
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