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.
|Title of host publication||Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|Publication status||Published - 2019 Feb 22|
|Event||2018 IEEE Region 10 Conference, TENCON 2018 - Jeju, Korea, Republic of|
Duration: 2018 Oct 28 → 2018 Oct 31
|Name||IEEE Region 10 Annual International Conference, Proceedings/TENCON|
|Conference||2018 IEEE Region 10 Conference, TENCON 2018|
|Country/Territory||Korea, Republic of|
|Period||18/10/28 → 18/10/31|
Bibliographical noteFunding Information:
This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP)(No.NRF-2015R1C1A1A01053844), ICT R&D program of MSIP/IITP (No.2017-0-00142), and the R&D program of MOTIE/KEIT (No.10077609).
© 2018 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering