Improving GPGPU Energy-Efficiency through Concurrent Kernel Execution and DVFS
Master's
Saved in:
Main Author: | JIAO QING |
---|---|
Other Authors: | COMPUTER SCIENCE |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/118231 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
An impact-based broadband aeroelastic energy harvester for concurrent wind and base vibration energy harvesting
by: Zhao, Liya, et al.
Published: (2020) -
ARCHITECTING EMERGING MEMORY TECHNOLOGIES FOR ENERGY-EFFICIENT COMPUTING IN MODERN PROCESSORS
by: WANG JIANXING
Published: (2015) -
SafeGPU: Contract- and library-based GPGPU for object-oriented languages
by: KOLESNICHENKO, Alexey, et al.
Published: (2016) -
Barriers in concurrent separation logic: Now with tool support!
by: Hobor, A., et al.
Published: (2013) -
IMPROVING ENERGY EFFICIENCY IN DISCRETE PARTS MANUFACTURING
by: LIU NING
Published: (2016)