Title :
Performance and Power Analysis of ATI GPU: A Statistical Approach
Author :
Zhang, Ying ; Hu, Yue ; Li, Bin ; Peng, Lu
Author_Institution :
Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
Abstract :
We present a comprehensive study on the performance and power consumption of a recent ATI GPU. By employing a rigorous statistical model to analyze execution behaviors of representative general-purpose GPU (GPGPU) applications, we conduct insightful investigations on the target GPU architecture. Our results demonstrate that the GPU execution throughput and the power dissipation are dependent on different architectural variables. Furthermore, we design a set of micro-benchmarks to study the power consumption features of different function units on the GPU. Based on those results, we derive instructive principles that can guide the design of power-efficient high performance computing systems.
Keywords :
computer graphic equipment; computer power supplies; coprocessors; performance evaluation; statistical analysis; ATI GPU; GPGPU; GPU architecture; general-purpose GPU; graphics processing units; performance analysis; power analysis; power consumption; power-efficient high performance computing systems; statistical model; Computational modeling; Computer architecture; Graphics processing unit; Kernel; Power demand; Radiation detectors; VLIW; GPU; OPENCL; VLIW; model; performance; power;
Conference_Titel :
Networking, Architecture and Storage (NAS), 2011 6th IEEE International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-1-4577-1172-5
Electronic_ISBN :
978-0-7695-4509-7
DOI :
10.1109/NAS.2011.51
