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SIMD execution units in GPUs are increasingly used for high performance and energy efficient acceleration of general purpose applications. However, SIMD control flow divergence effects can result in reduced execution efficiency in a class of GPGPU applications, classified as divergent applications. Improving SIMD efficiency, therefore, has the potential to(More)
Many-core chip multiprocessors can be expected to scale to tens of cores and beyond in the near future. Existing and emerging workloads on general-purpose many-core processors typically exhibit fast-changing, unpredictable on-chip communication traffic full of burstiness and jitters between different functional blocks. To provide high sustainable(More)
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