report · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 1996
Parallel processing ITS
Cited by 1Open access
Abstract
This report provides a users` guide for parallel processing ITS on a UNIX workstation network, a shared-memory multiprocessor or a massively-parallel processor. The parallelized version of ITS is based on a master/slave model with message passing. Parallel issues such as random number generation, load balancing, and communication software are briefly discussed. Timing results for example problems are presented for demonstration purposes.
Cite this paper
Fan, W. C., & Halbleib, J. (1996). Parallel processing ITS. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). https://doi.org/10.2172/402520
Fan, Wesley C., and J.A. Halbleib. “Parallel processing ITS.” OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information), 1996, https://doi.org/10.2172/402520.
Fan, Wesley C., and J.A. Halbleib. 1996. “Parallel processing ITS.” OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). https://doi.org/10.2172/402520.
Fan, W.C. and Halbleib, J. (1996) ‘Parallel processing ITS’, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). Available at: https://doi.org/10.2172/402520.
@article{fan1996parallel,
title = {{Parallel processing ITS}},
author = {Fan, Wesley C. and Halbleib, J.A.},
journal = {OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)},
year = {1996},
doi = {10.2172/402520}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
Related papers
Where is time spent in message-passing and shared-memory programs?
Satish Chandra, James R. Larus, Anne Rogers · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 1994
Cited by 49
Where is time spent in message-passing and shared-memory programs?
Satish Chandra, James R. Larus, Anne Rogers · ACM SIGOPS Operating Systems Review · 1994
Cited by 3Open access
Performance engineering of hybrid message passing + shared memory programming on multi-core clusters
Martin J. Chorley · ORCA Online Research @Cardiff (Cardiff University) · 2012
Cited by 1Open access
Impossibility of Strongly-Linearizable Message-Passing Objects via Simulation by Single-Writer Registers
Hagit Attiya, Constantin Enea, Jennifer Lundelius Welch · arXiv (Cornell University) · 2021
Cited by 4Open access
Where is time spent in message-passing and shared-memory programs?
Satish Chandra, James R. Larus, Anne Rogers · ACM SIGPLAN Notices · 1994
Cited by 70Open access