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Non-interfering GVT computation via asynchronous global reductions
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Source Winter Simulation Conference archive
Proceedings of the 25th conference on Winter simulation table of contents
Los Angeles, California, United States
Pages: 740 - 749  
Year of Publication: 1993
ISBN:0-7803-1381-X
Authors
Sudhir Srinivasan  Department of Computer Science, University of Virginia, Charlottesville, VA
Paul F. Reynolds, Jr.  Department of Computer Science, University of Virginia, Charlottesville, VA
Sponsors
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
ORSA : Operations Research Society of America
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation
ASA : American Statistical Association
NIST : National Institue of Standards & Technology
TIMS/CSG :
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 9,   Citation Count: 8
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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.

 
1
BAUER, H., AND C. SPORRER. 1992. Distributed logic simulation and an approach to asynchronous GVT- calculation. Proceedings of the sixth workshop on parallel and distributed simulation, 205-208.
 
2
BELLENOT, S. 1990. Global virtual time algorithms. Proceedings of the 1990 SCS Multiconference on Distributed Simulation, 122-127.
 
3
CONCEPCION, A.I., AND S.G. KELLY 1991. Computing global virtual time using the Multiple-Level Token Passing algorithm. Proceedings of the SCS Multiconference on Advances in Parallel and Distributed Simulation, 63-68.
 
4
FILLOQUE, J.M., E. GAUTRIN, AND B. POTTIER 1991. Efficient global computations on a processor network with programmable logic. Research Report number 1374, Institut National de Recherche en Informatique et en Automatique, France.
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LIN, Y-B., AND E.D. LAZOWSKA 1989. Determining the global virtual time in a distributed simulation. Technical Report number 90-01-02, Department of Computer Science and Engineering, University of Washington.
 
8
LWNY, M., AND U. MANBER 1985. Distributed computation via active messages. IEEE Transactions on Computers C- 34, 12: 1185-1190.
 
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PANCERELLA, C.M. 1992. Improving the efficiency of a framework for parallel simulations. Proceedings of the 6th Workshop on Parallel and Distributed Simulation, 22- 27.
 
11
PREISS, B. 1989. The Yaddes distributed discrete event simulation specification language and execution environments. Proceedings of the SCS Multiconference on Distributed Simulation 139-144.
 
12
PREISS, B.R., I.D. MACINTYRE AND W.M. LOUCKS 1992. On the trade-off between time and space in optimistic parallel discrete-event simulation. Proceedings of 6th Workshop on Parallel and Distributed Simulation, 33-42.
 
13
REIHER, P., R. FUJIMOTO, S. BELLENOT AND D. JEFFERSON. 1990. Cancellation strategies in optimistic execution systems. Proceedings of the 1990 SCS Multiconference on Distributed Simulation, 112-121.
 
14
REYNOLDS, P.F., JR. 1992. An efficient framework, for parallel simulations. International Journal in Computer Simulation, 3,4.
 
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SAMADI, B. 1988. A distributed algorithm to detect a global state of a distributed simulation system. In Distributed Processing (IFIP), ed. M. H. Barton, E.L. Dagless and G. L. Reijns, 19-34, Elsevier Science Publishers (North-Holland).
 
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SRINIVASAN, S. 1992. Modeling a framework for parallel simulations, Master of Science Thesis, Computer Science Department, University of Virginia.
 
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CITED BY  8
Collaborative Colleagues:
Sudhir Srinivasan: colleagues
Paul F. Reynolds, Jr.: colleagues