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A primary use of chip-multiprocessor (CMP) systems is to speed up a single application by exploiting thread-level parallelism. In such systems, threads may slow each other down by issuing memory requests that interfere in the shared memory subsystem. This inter-thread memory system interference can significantly degrade parallel application performance. Better memory request scheduling may mitigate...
Due to their massive computational power, graphics processing units (GPUs) have become a popular platform for executing general purpose parallel applications. GPU programming models allow the programmer to create thousands of threads, each executing the same computing kernel. GPUs exploit this parallelism in two ways. First, threads are grouped into fixed-size SIMD batches known as warps, and second,...
Dynamic voltage and frequency scaling (DVFS) can make modern processors more power and energy efficient if we can accurately predict the effect of frequency scaling on processor performance. State-of-the-art DVFS performance predictors, however, fail to accurately predict performance when confronted with realistic memory systems. We propose CRIT+BW, the first DVFS performance predictor designed for...
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