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Computer Applications, Software


The Intel Xeon Phi coprocessor offers high par- allelism on energy-efficient hardware to minimize energy con- sumption while maintaining performance. Dynamic frequency and voltage scaling is not accessible on the Intel Xeon Phi. Hence, saving energy relies mainly on tuning application performance. One general optimization technique is thread affinity, which is an important factor in multi-core architectures. This work investigates the effects of varying thread affinity modes and reducing core utilization on energy and execution time for the NASA Advanced Supercomputing Parallel Benchmarks (NPB). Energy measurements are captured using the micsmc utility tool available on Xeon Phi. The measurements are checked against total power captured using Wattsup power meters. The results are compared to the system-default thread affinity and granularity modes. Mostly positive impacts on performance and energy are observed: When executed at the maximum thread count on all unoccupied cores, all the benchmarks but one exhibited energy savings if a specific affinity mode is set.