Loading...
Please wait, while we are loading the content...
Similar Documents
Supporting Transparent Thread Assignment in Heterogeneous Multicore Processors Using Reinforcement Learning
| Content Provider | Semantic Scholar |
|---|---|
| Author | Yan, Xiaolei Sawalha, Lina McGovern, Amy Barnes, Ronald D. |
| Copyright Year | 2012 |
| Abstract | Heterogeneity in multicore processor systems creates challenges in effectively mapping processes to diverse cores. While most approaches require programmer partitioning between core types or permutation of thread schedules to find the optimal mapping, we introduce a new machine learning approach to automated thread assignment. We train a reinforcement learning agent to assign threads to the best performing core given the state of the program and the processor cores. We present preliminary results demonstrating the promise of this approach for two and four heterogeneous cores using multiprogram workloads from SPEC CPU2006 benchmarks. We further discuss the limitations of this initial approach and propose future directions for improving our technique. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://idea.cs.ou.edu/pubs/Yan_SHAW3_2012.pdf |
| Alternate Webpage(s) | http://www.cs.ou.edu/~amy/pubs/Yan_SHAW3_2012.pdf |
| Alternate Webpage(s) | http://www.researchgate.net/profile/Ronald_Barnes3/publication/228532920_Supporting_Transparent_Thread_Assignment_in_Heterogeneous_Multicore_Processors_Using_Reinforcement_Learning/links/09e4150c5f6d572dec000000.pdf |
| Alternate Webpage(s) | http://www.mcgovern-fagg.org/idea/pubs/Yan_SHAW3_2012.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
