2012 21st International Conference on Parallel Architectures and Compilation Techniques (PACT) (2012)
Minneapolis, MN, USA
Sept. 19, 2012 to Sept. 23, 2012
DOI Bookmark: http://doi.ieeecomputersociety.org/
Cong Liu , University of North Carolina at Chapel Hill, Dept. of Computer Science, USA
Jian Li , IBM Austin Research Laboratory, USA
Wei Huang , IBM Austin Research Laboratory, USA
Juan Rubio , IBM Austin Research Laboratory, USA
Evan Speight , IBM Austin Research Laboratory, USA
Felix Xiaozhu Lin , Rice University, Dept. of Computer Science, USA
Heterogeneous systems that contain multiple types of resources, such as CPUs and GPUs, are becoming increasingly popular thanks to the potential of achieving high performance and energy efficiency. In such systems, the problem of data mapping and communication for time-sensitive applications while reducing power and energy consumption is more challenging, since applications may have varied data management and computing patterns on different types of resources. In this paper, we propose power-aware maping techniques for CPU/GPU heterogeneous system that are able to meet applications' timing requirements while reducing power and energy consumption by applying DVFS on both CPUs and GPUs. We have implemented the proposed techniques in a real CPU/GPU heterogeneous system. Experimental results with several data analytics workloads show that compared to performance-driven mapping, our power-efficient mapping techniques can often achieve a reduction of more than 20% in power and energy consumption.
Computer architecture, Graphics processing units, Power demand, Energy consumption, Data analysis, Scheduling, Voltage control
Cong Liu, Jian Li, Wei Huang, J. Rubio, E. Speight and Felix Xiaozhu Lin, "Power-efficient time-sensitive mapping in heterogeneous systems," 2012 21st International Conference on Parallel Architectures and Compilation Techniques (PACT), Minneapolis, MN, USA, 2012, pp. 23-32.