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JCSE, vol. 15, no. 4, pp.135-147, December, 2021

DOI: http://dx.doi.org/10.5626/JCSE.2021.15.4.135

Reducing GPU Energy Consumption by Packing Narrow-Width Operands

Xin Wang and Wei Zhang
Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA, USA Department of Computer Science and Engineering, University of Louisville, Louisville, KY, USA

Abstract: In this paper, we study the use of an Operand-Width-Aware Register (OWAR) packing mechanism for graphics processing unit (GPU) energy saving. In order to efficiently use the GPU register file (RF), OWAR employs a power gating method to shut down unused register sub-arrays in order to reduce dynamic and leakage energy consumption of RF. As the number of register accesses was reduced due to the packing of the narrow width operands, the dynamic energy dissipation was further decreased. Finally, with the help of RF usage optimized by register packing, OWAR allowed GPUs to support more thread-level parallelism (TLP) through assigning additional thread blocks on streaming multiprocessors (SMs) for general-purpose GPU (GPGPU) applications that suffered from the deficiency of register resources. The extra TLP opens opportunities for hiding more memory latencies and thus reducing the overall execution time, which can lower the overall energy consumption. We evaluated OWAR using a set of representative GPU benchmarks. The experimental results showed that compared to the baseline without optimization, OWAR can reduce the GPGPU's total energy up to 29.6% and 9.5% on average. In addition, OWAR achieved performance improvement up to 1.97X and 1.18X on average.

Keyword: Graphics processing units (GPUs); Register file; Leakage energy; Narrow-width operands

Full Paper:   304 Downloads, 451 View

 
 
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