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Taxonomist: Application Detection Through Rich Monitoring Data and also detect unknown applications. We test our technique with a variety of benchmarks and cryptocurrency miners, and also with applications that users of a production supercomputer ran during a 6 month period. We show that our technique achieves nearly perfect classification for this challengingchondromalacia 发表于 2025-3-24 04:22:28
Characterization of Smartphone Governor Strategiesr source and study their behavior when multiple such blocks are operating together pushing the power source to its limit. Our results show that choosing the correct CPU governor alone is not sufficient but tuning the DVFS of different resources is necessary to achieve the best performance with minimJacket 发表于 2025-3-24 07:03:49
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Online Scheduling of Task Graphs on Hybrid Platformsower bound. We provide a .-competitive algorithm as well as a tunable combination of a system-oriented heuristic and a competitive algorithm; this combination performs well in practice and has a competitive ratio in .. Finally, simulations on different sets of task graphs illustrate how the instance闹剧 发表于 2025-3-24 17:15:43
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Resource-Efficient Execution of Conditional Parallel Real-Time Taskscterization is likely to be realized during some execution and all the processors are therefore going to be needed, for the rest of the time the unneeded processors could be idled in low-energy “sleep” mode, or used for executing non-real time work in the background. In this paper we propose an algoInnocence 发表于 2025-3-25 00:39:06
Conference proceedings 2018 in August 2018. The 57 full papers presented in this volume were carefully reviewed and selected from 194 submissions. They were organized in topical sections named: support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high perfor