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Abstract: Run-time parallelization is often the only way to generate parallel code for multiprocessors when data dependence information is incomplete at compile time. This situation is common in many important applications, where arrays are accessed with subscripted subscripts. Unfortunately, known techniques for run-time parallelization are often computationally expensive or not general enough. To address this problem, we propose a new hardware support for efficient run-time parallelization in... (Update)
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BibTeX entry: (Update)
Y. Zhang, L. Rauchwerger, and J. Torrellas. Hardware for Speculative Run-Time Parallelization in Distributed SharedMemory Multiprocessors. In Proceedings of teh 4th International Symposium on High PerformanceComputer Architecture 1998, (HPCA-4), pages 162--173, February 1998. http://citeseer.ist.psu.edu/zhang97hardware.html More
@inproceedings{ zhang98hardware,
author = "Ye Zhang and Lawrence Rauchwerger and Josep Torrellas",
title = "Hardware for Speculative Run-Time Parallelization in Distributed Shared-Memory Multiprocessors",
booktitle = "{HPCA}",
pages = "162-173",
year = "1998",
url = "citeseer.ist.psu.edu/zhang97hardware.html" }
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