Programming-Level Power Measurement for GPU Clusters
GREENCOM '11 Proceedings of the 2011 IEEE/ACM International Conference on Green Computing and Communications
Power profiling and optimization for heterogeneous multi-core systems
ACM SIGARCH Computer Architecture News
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Power dissipation is one of the most imminent limitation factors influencing the development of High Performance Computing (HPC). Toward power-efficient HPC on CPU-GPU hybrid platform, we are investigating software methodologies to achieve optimized power utilization by algorithm design and programming technique. In this paper we discuss power measurements of GPU, propose a method of automatic extraction of power data of CUDA kernels from long measurement sequence, and execute an exactitude and effective power analysis on CUDA kernels. By using the proposed method above, we measured a sample kernel that performs single precision floating point additions on GeForce 8800 GTS. Our results suggest that the power consumption by a non-working thread in underoccupied half-warp is 71% of the power consumed by a working thread.