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Titlebook: Algorithms and Architectures for Parallel Processing; 20th International C Meikang Qiu Conference proceedings 2020 Springer Nature Switzerl

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11#
發(fā)表于 2025-3-23 09:53:35 | 只看該作者
Die zehn Regeln der Laufverletzungenties are assigned to the critical tasks for better scheduling. The experimental results show that our mechanism increases the computational performance by 14%–78%, and increases the power efficiency by 11%–41%.
12#
發(fā)表于 2025-3-23 14:26:15 | 只看該作者
13#
發(fā)表于 2025-3-23 20:33:05 | 只看該作者
CTA: A Critical Task Aware Scheduling Mechanism for Dataflow Architectureties are assigned to the critical tasks for better scheduling. The experimental results show that our mechanism increases the computational performance by 14%–78%, and increases the power efficiency by 11%–41%.
14#
發(fā)表于 2025-3-24 00:18:59 | 只看該作者
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發(fā)表于 2025-3-24 03:41:00 | 只看該作者
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發(fā)表于 2025-3-24 10:12:00 | 只看該作者
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發(fā)表于 2025-3-24 13:49:55 | 只看該作者
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發(fā)表于 2025-3-24 16:07:10 | 只看該作者
Die zehn Regeln der Laufverletzungenof thread level speculation (TLS), especially at the procedure level. This paper explores the potential parallelism of HPEC from procedure and loop level TLS techniques, and designs the corresponding analysis mechanism and data structures. Our aim is to show the improved performance of various appli
19#
發(fā)表于 2025-3-24 21:22:23 | 只看該作者
Die zehn Regeln der Laufverletzungenin dataflow scenarios is much more complex than those in control-flow scenarios. However, previous works fail to sufficiently accelerate the critical task because most of them only applied optimization for static critical tasks, without considering the runtime status during execution. We propose a c
20#
發(fā)表于 2025-3-24 23:42:11 | 只看該作者
https://doi.org/10.1007/978-3-8349-9752-4d partitioning scheme for unknown programs, resulting in high misspeculation ratio, restricting the programs’ speedup improvement due to inappropriate partitioning schemes. This paper which introduces an .tive .hread .artition .pproach (AdapTPA), takes the relationship between program complexity and
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