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Chip MultiProcessors (CMP) are widely used for high performance computing. While this presents significant new opportunities, such as on-chip high inter-core bandwidth and low inter-core latency, it also presents new challenges in the form of inter-core resource conflict and contention. A challenge to be addressed is how well current parallel programming paradigms, such as MPI, OpenMP and hybrid, exploit the potential offered by such CMP clusters for scientific applications. The authors conduct detailed performance experiments to identify the major application characteristics that affect processor partitioning.
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