A Latency-Hiding Algorithm for ABMS on Parallel/Distributed Computing Environment

A latency-hiding algorithm for the parallelization of large scale agent-based model simulations (ABMS) on parallel/distributed computing platform is proposed. The key idea of this algorithm is using redundant computations to hide communication latencies. An analytical model for this algorithm is pre...

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Veröffentlicht in:2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation S. 187 - 189
Hauptverfasser: Li-li Chen, Jian-xin Huang, Jing Zhang
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.07.2012
Schlagworte:
Agent-based simulation
Algorithm design and analysis
Analytical models
Cluster
Clustering algorithms
Communication latencyhiding
Computational modeling
Computer architecture
Delay
Graphics processing unit
Multi-core
Parallel processing
ISBN:9781467317979, 1467317977
ISSN:1087-4097
Online-Zugang:Volltext
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Zusammenfassung:A latency-hiding algorithm for the parallelization of large scale agent-based model simulations (ABMS) on parallel/distributed computing platform is proposed. The key idea of this algorithm is using redundant computations to hide communication latencies. An analytical model for this algorithm is presented to tell how to select R value to reach the best speedup. Compared to B+2R algorithm [1], theoretical analysis and experimental result show that the algorithm proposed in this paper has the following advantages when running on CPU cluster: 1) it can hide more communication latency, 2) a smaller R can satisfy the best communication latency hiding.
ISBN:9781467317979
1467317977
ISSN:1087-4097
DOI:10.1109/PADS.2012.2