標題: Enhancing Data Reuse in Cache Contention Aware Thread Scheduling on GPGPU
作者: Lu, Chin-Fu
Kuo, Hsien-Kai
Lai, Bo-Cheng Charles
交大名義發表
National Chiao Tung University
關鍵字: GPGPU;cache;thread scheduling;performance
公開日期: 2016
摘要: GPGPUs have been widely adopted as throughput processing platforms for modern big-data and cloud computing. Attaining a high performance design on a GPGPU requires careful tradeoffs among various design concerns. Data reuse, cache contention, and thread level parallelism, have been demonstrated as three imperative performance factors for a GPGPU. The correlated performance impacts of these factors pose non-trivial concerns when scheduling threads on GPGPUs. This paper proposes a three-staged scheduling scheme to co-schedule the threads with consideration of the three factors. The experiment results on a set of irregular parallel applications, when compared with previous approaches, have demonstrated up to 70% execution time improvement.
URI: http://dx.doi.org/10.1109/CISIS.2016.132
http://hdl.handle.net/11536/134661
ISBN: 978-1-5090-0987-9
DOI: 10.1109/CISIS.2016.132
期刊: PROCEEDINGS OF 2016 10TH INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT, AND SOFTWARE INTENSIVE SYSTEMS (CISIS)
起始頁: 351
結束頁: 356
Appears in Collections:Conferences Paper