Name
Abstract | ||
|---|---|---|
DVFS (Dynamic voltage frequency scaling) is one of the most widely used power management technologies employed to improve the performance or minimize the power consumption by controlling voltages and frequencies in real time. When applying device-level DVFS in graphics processing units (GPUs) that support spatial multitasking, it is difficult to determine the optimal DVFS status when multiple running kernels have different characteristics. To solve the problem, we created a GPU simulator that can operate at different streaming multiprocessor frequencies according to the characteristics of the assigned kernel and compared it with a single-clock-based spatial multitasking GPU simulator. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/tencon.2018.8650072 | TENCON IEEE Region 10 Conference Proceedings |
Keywords | Field | DocType |
GPU,Multitasking,DVFS | Graphics,Kernel (linear algebra),Power management,Metadata,Task analysis,Computer science,Voltage,Multiprocessing,Electronic engineering,Human multitasking,Embedded system | Conference |
ISSN | Citations | PageRank |
2159-3442 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jehee Cha | 1 | 0 | 0.34 |
| Jiho Kim | 2 | 57 | 15.00 |
| Yongjun Park | 3 | 277 | 20.15 |