Add time:09/03/2019         Source:sciencedirect.com

Hybrid multi-core processors are poised to dominate the landscape of next generation computing. By integrating several types of cores on a single chip, designers are anticipating sustained performance growth while depending less on raw circuit speed and decreasing power requirements per unit of performance. In this paper, we study the performance/energy tradeoffs for a heterogeneous platform consisting of Intel multicore processor with multiple nVidia GPU co-processors. Using CMT-bone, a proxy-app designed at the University of Florida, we explore load balancing strategies for a variety of architectural combinations of CPUs and GPUs to optimize for performance, power and energy measurements.

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