配置
发表于 2025-3-26 20:58:20
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mettlesome
发表于 2025-3-27 04:15:10
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Inclement
发表于 2025-3-27 08:40:07
Evaluation of Adaptive Micro-batching Techniques for GPU-Accelerated Stream Processingressing this challenge requires adjusting the optimal batch size at runtime. This study proposes a methodology for evaluating different self-adaptive micro-batching strategies in a real-world complex streaming application used as a benchmark.
侵略
发表于 2025-3-27 12:48:36
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纵欲
发表于 2025-3-27 16:24:46
Conference proceedings 2024o-Par 2023, which took place in Limassol, Cyprus, during August 28–September 1, 2023...The 42 full papers presented in this book together with 11 symposium papers and 14 demo/poster papers were carefully reviewed and selected from 55 submissions. The papers cover covering all aspects of parallel and
果仁
发表于 2025-3-27 20:45:29
https://doi.org/10.1007/978-3-031-50684-0computer hardware; computer networks; computer programming; computer science; distributed computer syste
睨视
发表于 2025-3-28 01:49:07
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/316551.jpg
消息灵通
发表于 2025-3-28 04:05:10
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发展
发表于 2025-3-28 07:01:37
Zeittafel: Hans und Sophie Scholl,known as Stream Processing Engines (SPEs). The control of resources in streaming applications within and across such continuums has been a prominent topic in the literature. While several techniques have been proposed to control resources like CPU, limited control exists for other resources such as
Forsake
发表于 2025-3-28 12:12:59
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