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In the era of multi-core processors, it is increasingly important to extract parallelism from programs. A key work to find and extract parallelism is data dependence analysis. This paper proposes to analyze the data dependences among code blocks offline, so as to save the computing time and resources with runtime execution. Offline data dependence analysis is feasible because register numbers to access...
Extract parallelism from programs is growing important as the number of cores of processors is increasing. Parallelization usually involves splitting a sequential thread, and schedule the split code to run on multiple cores. E.g. Some previous Speculative Multi-Threading research used code block reordering to automatically parallelize a sequential thread on multi-core processors. Although the parallelized...
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