Abstract
Nested data-parallel programs often have large memory requirements due to their high degree of parallelism. Piecewise execution is an implementation technique used to minimize the space needed. In this paper, we present a combinination of piecewise execution and loop-fusion techniques. Both a formal framework and the execution model based on threads are presented. We give some experimental results, which demonstrate the good performance in memory consumption and execution time.
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References
G. E. Blelloch. NESL: A nested data-parallel language. Technical report, School of Computer Science, Carnegie Mellon University, 1995.
G. E. Blelloch and G. Sabot. Compiling collection-oriented languages onto massively parallel computers. Journal of Parallel and Distributed Computing, 8(2):119–134, 1990.
G. Keller. Transformation-based Implementation of Nested Data Parallelism for Distributed Memory Machines. PhD thesis, Technische Universität Berlin, 1999.
G. Keller and M. M. T. Chakravarty. On the distributed implementation of aggregate data structures by program transformation. In HIPS’ 99. IEEE CS, 1999.
D. Palmer, J. Prins, S. Chatterjee, and R. Faith. Piecewise execution of nested data-parallel programs. In LCPC’ 95. Springer, 1996.
W. Pfannenstiel. Piecewise execution of nested parallel programs — a thread-based approach. In P. Amestoy, P. Berger, M. Daydé, I. Duff, V. Frayssé, L. Giraud, and D. Ruiz, editors, EuroPar’99, LNCS 1685, pages 445–449. Springer, 1999.
W. Pfannenstiel. Thread-based piecewise execution of nested data-parallel programs: Implementation and case studies. Technical Report 99-12, TU Berlin, 1999.
K. Taura and A. Yonezawa. Fine-grain multithreading with minimal compiler support-a cost effective approach to implementing efficient multithreading languages. In PLDI’ 97. ACM, 1997.
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Pfannenstiel, W. (2000). Combining Fusion Optimizations and Piecewise Execution of Nested Data-Parallel Programs. In: Rolim, J. (eds) Parallel and Distributed Processing. IPDPS 2000. Lecture Notes in Computer Science, vol 1800. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45591-4_42
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DOI: https://doi.org/10.1007/3-540-45591-4_42
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