Utilizing Global Simulation Information in Conservative Parallel Simulation on Shared Memory Multiprocessors
dc.contributor.author | Lin J. M. | en_US |
dc.contributor.author | Abraham S. G. | en_US |
dc.date.accessioned | 2006-04-10T15:39:37Z | |
dc.date.available | 2006-04-10T15:39:37Z | |
dc.date.issued | 1993-08 | en_US |
dc.identifier.citation | Lin J. M., , Abraham S. G., (1993/08)."Utilizing Global Simulation Information in Conservative Parallel Simulation on Shared Memory Multiprocessors." Journal of Parallel and Distributed Computing 18(4): 516-523. <http://hdl.handle.net/2027.42/30665> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6WKJ-45P662F-X/2/12eb608bc905a90b71bbfc4981ec0645 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/30665 | |
dc.description.abstract | Global simulation information is accessible on shared memory multiprocessors and can improve the efficiency of parallel simulation. However, most existing concurrent simulators do not aggressively exploit this information. In this paper, we propose a Directly Accessing Information (DAI) scheme, a conservative simulation scheme that collects useful global simulation information in shared memory systems to reduce non-essential blocking and resolve local deadlocks. A parallel queueing network simulator was constructed on a Sequent Symmetry multiprocessor. Special implementation techniques were used to eliminate locking mechanisms for accessing global simulation information. Also, search pruning techniques were developed to reduce the amount of global simulation information used to unblock Logical Processes (LPs). Experimental results demonstrate that the DAI scheme achieves good speedups and substantially outperforms conventional conservative schemes in a reasonably large problem domain where message densities are larger than approximately 0.75. | en_US |
dc.format.extent | 617644 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Utilizing Global Simulation Information in Conservative Parallel Simulation on Shared Memory Multiprocessors | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Philosophy | en_US |
dc.subject.hlbsecondlevel | Computer Science | en_US |
dc.subject.hlbtoplevel | Humanities | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Dept. of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA. | en_US |
dc.contributor.affiliationum | Dept. of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/30665/1/0000308.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1006/jpdc.1993.1082 | en_US |
dc.identifier.source | Journal of Parallel and Distributed Computing | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.