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Towards the Combination of Work-Stealing and Semi-Partitioned Scheduling for Parallel Tasks

机译：面向并行任务的工作窃取和半分区计划的组合

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摘要

Poster presented in Work in Progress Session, 28th GI/ITG International Conference on Architecture of Computing Systems (ARCS 2015). 24 to 26, Mar, 2015. Porto, Portugal.

机译：在第28届GI / ITG计算系统体系结构国际会议（ARCS 2015）中，进行中的工作会议上展示了海报。 2015年3月24日至26日。葡萄牙波尔图。

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作者
Maia Cláudio; Nogueira Luís; Meumeu Yomsi Patrick; Pinho Luís Miguel;
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年度 2015
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原文格式 PDF
正文语种 eng
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1. A Work-Stealing Scheduler for X10's Task Parallelism with Suspension [J] . Olivier Tardieu, Haichuan Wang, Haibo Lin ACM SIGPLAN Notices: A Monthly Publication of the Special Interest Group on Programming Languages . 2012,第8期

机译：带有暂停功能的X10任务并行性的窃取工作调度程序
2. Semi-partitioned scheduling for fixed-priority real-time tasks based on intelligent rate monotonic algorithm [J] . Saeed Senobary, Mahmoud Naghibzadeh International Journal of Grid and Utility Computing . 2015,第3a4期

机译：基于智能速率单调算法的固定优先级实时任务的半分区调度
3. Staccato: shared-memory work-stealing task scheduler with cache-aware memory management [J] . Ruslan Kuchumov, Andrey Sokolov, Vladimir Korkhov International journal of web and grid services . 2019,第4期

机译：Staccato：具有缓存感知内存管理功能的共享内存工作窃取任务计划程序
4. Semi-Partitioned Scheduling of Fork-Join Tasks Using Work-Stealing [C] . Maia Claudio, Yomsi Patrick Meumeu, Nogueira Luis, 2015 IEEE/IFIP 13th International Conference on Embedded and Ubiquitous Computing . 2015

机译：使用工作偷偷进行叉加入任务的半分区调度
5. A Scalable Locality-aware Adaptive Work-stealing Scheduler for Multi-core Task Parallelism. [D] . Guo, Yi. 2010

机译：用于多核任务并行性的可扩展的可感知位置的自适应工作窃取调度程序。
6. Human free-operant performance varies with a concurrent task: Probability learning without a task and schedule-consistent with a task [O] . Phil Reed -1

机译：自由操作人员的绩效随并发任务的不同而不同：无任务的概率学习并且与任务一致的进度
7. Towards the Combination of Work-Stealing and Semi-Partitioned Scheduling for Parallel Tasks [O] . Maia Cláudio, Nogueira Luís, Meumeu Yomsi Patrick, 2015

机译：面向并行任务的工作窃取和半分区计划的组合

Towards the Combination of Work-Stealing and Semi-Partitioned Scheduling for Parallel Tasks

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