標題: Analyzing OpenCL 2.0 Workloads Using a Heterogeneous CPU-GPU Simulator
作者: Wang, Li
Tsai, Ren-Wei
Wang, Shao-Chung
Chen, Kun-Chih
Wang, Po-Han
Cheng, Hsiang-Yun
Lee, Yi-Chung
Shu, Sheng-Jie
Yang, Chun-Chieh
Hsu, Min-Yih
Kan, Li-Chen
Lee, Chao-Lin
Yu, Tzu-Chieh
Peng, Rih-Ding
Yang, Chia-Lin
Hwang, Yuan-Shin
Lee, Jenq-Kuen
Tsao, Shiao-Li
Ouhyoung, Ming
交大名義發表
National Chiao Tung University
公開日期: 1-Jan-2017
摘要: Heterogeneous CPU-GPU systems have recently emerged as an energy-efficient computing platform. A robust integrated CPU-GPU simulator is essential to facilitate researches in this direction. While few integrated CPU-GPU simulators are available, similar tools that support OpenCL 2.0, a widely used new standard with promising heterogeneous computing features, are currently missing. In this paper, we extend the existing integrated CPU-GPU simulator, gem5-gpu, to support OpenCL 2.0. In addition, we conduct experiments on the extended simulator to see the impact of new features introduced by OpenCL 2.0. Our OpenCL 2.0 compatible simulator is successfully validated against a state-of-the-art commercial product, and is expected to help boost future studies in heterogeneous CPU-GPU systems.
URI: http://hdl.handle.net/11536/147045
期刊: 2017 IEEE INTERNATIONAL SYMPOSIUM ON PERFORMANCE ANALYSIS OF SYSTEMS AND SOFTWARE (ISPASS)
起始頁: 127
結束頁: 128
Appears in Collections:Conferences Paper