Dynamic Task Priority Scaling for Thermal Management of Multi-core Processors with Heavy Workload
Year
: 2015
Abstract: This paper presents a task priority scaling algorithm for dynamic thermal management of multi-core processors. The unique features of this algorithm include: 1) enabling task-level Dynamic
Frequency Scaling (DFS) capability through software, 2) reducing task migration and provide load
balancing using dynamic task priority scaling, 3) targeting DTM for systems with high workload. This algorithm is evaluated on a commercial quad-core processor. The experimental results indicate that the proposed approach can decrease the average and peak temperature by 9.73% and 7.1%, respectively, compared to Linux standard scheduler.
Frequency Scaling (DFS) capability through software, 2) reducing task migration and provide load
balancing using dynamic task priority scaling, 3) targeting DTM for systems with high workload. This algorithm is evaluated on a commercial quad-core processor. The experimental results indicate that the proposed approach can decrease the average and peak temperature by 9.73% and 7.1%, respectively, compared to Linux standard scheduler.
Keyword(s): Dynamic Thermal Management,Dynamic Task Priority Scaling,DVFS,Task Migration
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Dynamic Task Priority Scaling for Thermal Management of Multi-core Processors with Heavy Workload
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| contributor author | Ali Akbari | en |
| contributor author | حمید نوری | en |
| contributor author | Saadat Pour Mozafari | en |
| contributor author | Farhad Mehdipour | en |
| contributor author | Hamid Noori | fa |
| date accessioned | 2020-06-06T14:18:13Z | |
| date available | 2020-06-06T14:18:13Z | |
| date copyright | 5/20/2015 | |
| date issued | 2015 | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/3390892?locale-attribute=en | |
| description abstract | This paper presents a task priority scaling algorithm for dynamic thermal management of multi-core processors. The unique features of this algorithm include: 1) enabling task-level Dynamic Frequency Scaling (DFS) capability through software, 2) reducing task migration and provide load balancing using dynamic task priority scaling, 3) targeting DTM for systems with high workload. This algorithm is evaluated on a commercial quad-core processor. The experimental results indicate that the proposed approach can decrease the average and peak temperature by 9.73% and 7.1%, respectively, compared to Linux standard scheduler. | en |
| language | English | |
| title | Dynamic Task Priority Scaling for Thermal Management of Multi-core Processors with Heavy Workload | en |
| type | Conference Paper | |
| contenttype | External Fulltext | |
| subject keywords | Dynamic Thermal Management | en |
| subject keywords | Dynamic Task Priority Scaling | en |
| subject keywords | DVFS | en |
| subject keywords | Task Migration | en |
| identifier link | https://profdoc.um.ac.ir/paper-abstract-1048071.html | |
| conference title | ACM Great Lakes Symposium on VLSI 2015 | en |
| conference location | Pittsburgh | fa |
| identifier articleid | 1048071 |