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Thresholding for Work Distribution of Recursive, Multithreaded Functions

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Languages and Compilers for Parallel Computing (LCPC 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1863))

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Abstract

Work distribution, i.e., assigning tasks to different processors, is an important task in compiling for parallel architectures. In this paper, we focus on addressing the work distribution problem in the context of a fork-join parallel language and a multithreaded architecture.

This research was supported by NSF Grant CCR-9808522. Author Agrawal was also supported in part by NSF CAREER award ACI-9733520

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References

  1. Laurie J. Hendren, Xinan Tang, Yingchun Zhu, and Guang R. Gao. Compiling C for the EARTH multithreaded architecture. International Journal of Parallel Programming, 1997.

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  2. Herbert H. J. Hum, Olivier Maquelin, Kevin B. Theobald, Xinmin Tian, Xinan Tang, Guang R. Gao, et al. A design study of the EARTH multiprocessor. In Proceedings of the IFIP WG 10.3 Working Conference on Parallel Architectures and Compilation Techniques, June 1995.

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  3. Xinan Tang, Rakesh Ghiya, Laurie J. Hendren, and Guang R. Gao. Heap analysis and optimizations for threaded programs. In Proceedings of the 1997 Conference on Parallel Architectures and Compilation Techniques, November 1997.

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© 2000 Springer-Verlag Berlin Heidelberg

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Zoppetti, G.M., Agrawal, G., Pollock, L.L. (2000). Thresholding for Work Distribution of Recursive, Multithreaded Functions. In: Carter, L., Ferrante, J. (eds) Languages and Compilers for Parallel Computing. LCPC 1999. Lecture Notes in Computer Science, vol 1863. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44905-1_37

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  • DOI: https://doi.org/10.1007/3-540-44905-1_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67858-8

  • Online ISBN: 978-3-540-44905-8

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