Computing Energy-Efficiency in the Mobile GPU

被引：0

作者：

Kim, Sangduk ^{[1
]}

Kim, Hyo-Eun ^{[1
]}

Kim, Hyunsuk ^{[1
]}

Lee, Jin-Aeon ^{[1
]}

机构：

[1] Samsung Elect, Syst LSI Div, Multimedia Core Dev Team, Yongin, South Korea

来源：

2013 INTERNATIONAL SOC DESIGN CONFERENCE (ISOCC) | 2013年

关键词：

computing; energy-efficiency; mobile; GPGPU;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we explain the energy-efficiency of mobile GPU through the performance and power comparisons of CPU and GPU integrated in the ARM processor-based System-on-Chip. Two kinds of application processors (GPGPU with 72.5GFLOPS computing capability integrated with 1.7GHz dual-core ARMv7A architecture CPUs and GPGPU with 108.7GFLOPS computing capability integrated with 1.8/1.3GHz octa-core ARMv7A architecture CPUs) are used in the experiment. The power and performance analyses of Kishonti Informatics' CLBenchmark and embedded image processing test suite of Renderscript can provide that the GPU based general-purpose computing ability can deliver 10x higher energy-efficiency in compute-intensive multimedia applications, compared with a CPU solution [1]. The GPU benefits arise from its parallel architecture, which is well suited for compute-intensive multimedia applications. Consequently, a high-performance GPU delivers higher energy-efficiency than any combination of CPU and GPU in most case of compute-intensive workloads.

引用

页码：222 / 224

页数：3