JOURNAL ARTICLE

Synchronization support for efficient parallel discrete event simulation

Abstract

As a case study on the applicability of the EDA (extended dataflow architecture) model, CE-graphs (concurrent event graphs) have been defined to achieve high performance of parallel discrete event simulations (PDES) on parallel computers. Two levels of communication and synchronization are devised to execute CE-graphs efficiently, namely coarse-grained or medium-grained token (message) passing and fine-grained variable operations. The CE-graph approach can expose the highest degree of parallelism among independent events, while most existing approaches for PDES can only exploit parallelism at the level of components of a real system. Furthermore, the CE-graph approach can handle pre-emption situations in a natural way, which can be a difficult task for other approaches.< >

Keywords:
Computer science Dataflow Synchronization (alternating current) Parallel computing Exploit Discrete event simulation Event (particle physics) Theoretical computer science Graph Parallelism (grammar) Distributed computing

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Topics

Simulation Techniques and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Data Storage Technologies
Physical Sciences →  Computer Science →  Computer Networks and Communications

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