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- Title
Application-aware NoC management in GPUs multitasking.
- Authors
Xu, Zhen; Zhao, Xia; Wang, Zhiying; Yang, Canqun
- Abstract
Current network-on-chip (NoC) designs in GPUs are agnostic to application requirements, and this leads to wasted performance in GPUs multitasking. We observe that applications can generally be classified as either network-sensitive or network-insensitive. We propose the application-aware NoC (AA-NoC) management to better exploit the application characteristics. AA-NoC consists of the topology-aware streaming multiprocessor (SM) mapping and the adaptive virtual channel (VC) management. The topology-aware SM mapping is implemented in the concurrent thread array scheduler, and the adaptive VC management replies on a light-weight online profiling which only incurs limited hardware overhead. Compared to the traditional application-agnostic NoC, the evaluation results show that AA-NoC improves the STP and ANTT by 19.7% and 20.9%, respectively.
- Subjects
COMPUTER multitasking; MULTIPROCESSORS; MANAGEMENT
- Publication
Journal of Supercomputing, 2019, Vol 75, Issue 8, p4710
- ISSN
0920-8542
- Publication type
Article
- DOI
10.1007/s11227-018-2694-x