report · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 1997
Massively parallel I/O: Building an infrastructure for parallel computing
David E. Womble, David S. Greenberg
Cited by 0Open access
Abstract
The solution of Grand Challenge Problems will require computations that are too large to fit in the memories of even the largest machines. Inevitably, new designs of I/O systems will be necessary to support them. This report describes the work in investigating I/O subsystems for massively parallel computers. Specifically, the authors investigated out-of-core algorithms for common scientific calculations present several theoretical results. They also describe several approaches to parallel I/O, including partitioned secondary storage and choreographed I/O, and the implications of each to massively parallel computing.
Cite this paper
Womble, D. E., & Greenberg, D. S. (1997). Massively parallel I/O: Building an infrastructure for parallel computing. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). https://doi.org/10.2172/468615
Womble, David E., and David S. Greenberg. “Massively parallel I/O: Building an infrastructure for parallel computing.” OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information), 1997, https://doi.org/10.2172/468615.
Womble, David E., and David S. Greenberg. 1997. “Massively parallel I/O: Building an infrastructure for parallel computing.” OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). https://doi.org/10.2172/468615.
Womble, D.E. and Greenberg, D.S. (1997) ‘Massively parallel I/O: Building an infrastructure for parallel computing’, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). Available at: https://doi.org/10.2172/468615.
@article{womble1997massively,
title = {{Massively parallel I/O: Building an infrastructure for parallel computing}},
author = {Womble, David E. and Greenberg, David S.},
journal = {OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)},
year = {1997},
doi = {10.2172/468615}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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