Name
Title | ||
|---|---|---|
The Impacts of Locality and Memory Congestion-aware Thread Mapping on Energy Consumption of Modern NUMA Systems |
Abstract | ||
|---|---|---|
Thread mapping is crucial to improve the performance and energy consumption of modern NUMA systems. In this work, we investigate the impacts of locality and memory congestion-aware thread mapping on the energy consumption. Our evaluation shows that considering both the locality and memory congestion can significantly reduce not only the performance but also the total energy consumption, though it could potentially increase the interconnect traffic and also cache misses. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/CoolChips.2019.8721346 | 2019 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS) |
Keywords | Field | DocType |
thread mapping,locality,memory congestion,modern NUMA system,energy consumption | Thread mapping,Locality,Computer science,Energy consumption,Distributed computing | Conference |
ISSN | ISBN | Citations |
2473-4683 | 978-1-7281-1749-2 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mulya Agung | 1 | 0 | 1.35 |
| Muhammad Alfian Amrizal | 2 | 1 | 2.09 |
| Ryusuke Egawa | 3 | 109 | 28.68 |
| Hiroyuki Takizawa | 4 | 273 | 46.54 |