Task-RM: A Resource Manager for Energy Reduction in Task-Parallel Applications under Quality of Service Constraints
| Autor: | M. Waqar Azhar, Miquel Pericàs, Per Stenström |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | ACM Transactions on Architecture and Code Optimization. 19:1-26 |
| ISSN: | 1544-3973 1544-3566 |
| DOI: | 10.1145/3494537 |
| Popis: | Improving energy efficiency is an important goal of computer system design. This article focuses on a general model of task-parallel applications under quality-of-service requirements on the completion time. Our technique, called Task-RM , exploits the variance in task execution-times and imbalance between tasks to allocate just enough resources in terms of voltage-frequency and core-allocation so that the application completes before the deadline. Moreover, we provide a solution that can harness additional energy savings with the availability of additional processors. We observe that, for the proposed run-time resource manager to allocate resources, it requires specification of the soft deadlines to the tasks. This is accomplished by analyzing the energy-saving scenarios offline and by providing Task-RM with the performance requirements of the tasks. The evaluation shows an energy saving of 33% compared to race-to-idle and 22% compared to dynamic slack allocation (DSA) with an overhead of less than 1%. |
| Databáze: | OpenAIRE |
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