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Power-aware scheduling has become a critical research thrust for deploying exascale High Performance Computing (HPC) systems with limited power budget. Time-varying pricing of electricity with respect to the market demand and dynamic HPC workloads can lead to unpredictable operational cost, which complicates the scheduling decisions further. For an oversubscribed HPC system, value based scheduling...
Cache tuning has been widely studied in CPUs, and shown to achieve substantial energy savings, with minimal performance degradations. However, cache tuning has yet to be explored in General Purpose Graphics Processing Units (GPGPU), which have emerged as efficient alternatives for general purpose high-performance computing. In this paper, we explore autonomic cache tuning for GPGPUs, where the cache...
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