| SCALLOP: A Highly Scalable Parallel Poisson Solver in Three Dimensions |
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Conference on High Performance Networking and Computing
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Proceedings of the 2003 ACM/IEEE conference on Supercomputing
table of contents
Page: 23
Year of Publication: 2003
ISBN:1-58113-695-1
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IEEE Computer Society
Washington, DC, USA
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| Bibliometrics |
Downloads (6 Weeks): 5, Downloads (12 Months): 20, Citation Count: 1
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ABSTRACT
SCALLOP is a highly scalable solver and library for elliptic partial differential equations on regular block-structured domains. SCALLOP avoids high communication overheads algorithmically by taking advantage of the locality properties inherent to solutions to elliptic PDEs. Communication costs are small, on the order of a few percent of the total running time on up to 1024 processors of NPACI's and NERSC's IBM Power-3 SP sytems. SCALLOP trades off numerical overheads against communication. These numerical overheads are independent of the number of processors for a wide range of problem sizes. SCALLOP is implicitly designed for infinite domain (free space) boundary conditions, but the algorithm can be reformulated to accommodate other boundary conditions. The SCALLOP library is built on top of the KeLP programming system and runs on a variety of platforms.
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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CITED BY
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Rahul S. Sampath , Santi S. Adavani , Hari Sundar , Ilya Lashuk , George Biros, Dendro: parallel algorithms for multigrid and AMR methods on 2:1 balanced octrees, Proceedings of the 2008 ACM/IEEE conference on Supercomputing, November 15-21, 2008, Austin, Texas
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