Architecture-independent scientific programming in data parallel C

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Architecture-independent scientific programming in data parallel C: three case studies

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Conference on High Performance Networking and Computing archive
Proceedings of the 1991 ACM/IEEE conference on Supercomputing table of contents

Albuquerque, New Mexico, United States

Pages: 208 - 217

Year of Publication: 1991

ISBN:0-89791-459-7

Authors

Philip J. Hatcher	Department of Computer Science, University of New Hampshire, Durham, NH
Michael J. Quinn	Department of Computer Science, Oregon State University, Corvallis, OR
Ray J. Anderson	Department of Computer Science, Oregon State University, Corvallis, OR
Anthony J. Lapadula	Department of Computer Science, University of New Hampshire, Durham, NH
Bradley K. Seevers	Department of Computer Science, Oregon State University, Corvallis, OR
Andrew F. Bennett	College of Oceanography, Oregon State University, Corvallis, OR

Sponsors

IEEE : Institute of Electrical and Electronics Engineers
SIGARCH: ACM Special Interest Group on Computer Architecture

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 3, Downloads (12 Months): 10, Citation Count: 4

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references cited by index terms collaborative colleagues

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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	2	Philip J. Hatcher , Michael J. Quinn, Data-parallel programming on MIMD computers, MIT Press, Cambridge, MA, 1992
	3	D. Conklin, J. Cleary, and B. Unger, "The sharks world (a study in distributed simulation design)," in Distributed Simulation 1990, vol. 22, pp. 157-160, SCS Simulation Series, 1990.
	4	D. M. Nicol and S. E. Rifle, "A 'conservative' approach to parallelizing the Sharks World simulation," Tech. Rep. 90-67, Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, Hampton, VA, 1990.
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	10	Kathleen Knobe , Joan D. Lukas , Guy L. Stelle, Jr., Data optimization: allocation of arrays to reduce communication on SIMD machines, Journal of Parallel and Distributed Computing, v.8 n.2, p.102-118, February 1990 [doi>10.1016/0743-7315(90)90086-5]
	11	Siddhartha Chatterjee , Guy E. Blelloch , Allan L. Fisher, Size and access inference for data-parallel programs, Proceedings of the ACM SIGPLAN 1991 conference on Programming language design and implementation, p.130-144, June 24-28, 1991, Toronto, Ontario, Canada
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	16	M. Baber, "Hypertasking: Automatic array and loop partitioning on the iPSC," in Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences, vol. II, pp. 438--447, 1991.
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CITED BY 4

	F. A. Ortega , C. D. Hansen , J. P. Ahrens, Fast data parallel polygon rendering, Proceedings of the 1993 ACM/IEEE conference on Supercomputing, p.709-718, December 1993, Portland, Oregon, United States
	Y. Robin, IPF for real-time image processing on massively parallel architectures, Proceedings of the IFIP WG10.3 working conference on Parallel architectures and compilation techniques, p.234-243, June 27-29, 1995, Limassol, Cyprus
	Gail A. Alverson , William G. Griswold , Calvin Lin , David Notkin , Lawrence Snyder, Abstractions for Portable, Scalable Parallel Programming, IEEE Transactions on Parallel and Distributed Systems, v.9 n.1, p.71-86, January 1998
	Hui Li , Kenneth C. Sevcik, NUMACROS: data parallel programming on NUMA multiprocessors, USENIX Systems on USENIX Experiences with Distributed and Multiprocessor Systems, p.13-13, September 22-23, 1993, San Diego, California