2008
DOI: 10.1007/s10009-008-0094-x
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Parallel and distributed model checking in Eddy

Abstract: Abstract. Model checking of safety properties can be scaled up by pooling the CPU and memory resources of multiple computers. As compute clusters containing 100s of nodes, with each node realized using multicore (e.g., 2) CPUs will be widespread, a model checker based on the parallel (shared memory) and distributed (message passing) paradigms will more efficiently use the hardware resources. Such a model checker can be designed by having each node employ two shared memory threads that run on the (typically) tw… Show more

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Cited by 23 publications
(13 citation statements)
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“…A complete list of publications from this award are [5,6,7] which have appeared, one special issue journal paper based on [6] under review by the journal STTT, one invited journal paper based on [5] under review by the journal Parallel Computing, a special issue of selected papers from the TV06 workshop [10] being guest-edited by the PI and accepted by the ENTCS journal.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…A complete list of publications from this award are [5,6,7] which have appeared, one special issue journal paper based on [6] under review by the journal STTT, one invited journal paper based on [5] under review by the journal Parallel Computing, a special issue of selected papers from the TV06 workshop [10] being guest-edited by the PI and accepted by the ENTCS journal.…”
Section: Discussionmentioning
confidence: 99%
“…Eddy_Murphi runs on MPICH as well as Microsoft CCS, and also proves to be a valuable benchmark example in our research. Its code, and a conference paper which appeared in SPIN 2006 [6], are downloadable from our website.…”
Section: Parallel/distributed Model Checkingmentioning
confidence: 99%
“…In the past decade, several distributed EMC (DEMC) tools have arose, e.g. Eddy [7], Divine [8], and PSpin [9]. Most experiments in the DEMC literature pertain to the speed up of DEMC over sequential EMC.…”
mentioning
confidence: 99%
“…They pointed out the idea of coalescing states into larger messages for better network utilization in the context of model checking. Eddy [15] extends the work and studies the parallel and distributed model checking under the multicore architecture. Kumar and Mercer [17] improve the load balancing method in parallel Murphi.…”
Section: Related Workmentioning
confidence: 82%
“…An exhaustive literature survey is beyond the scope of this paper. Quite a few distributed and parallel model checkers based on message passing have been developed for Murphi and SPIN [14,15,16,17,18]. Stern and Dill [14] developed a parallel Murphi which distributes states to multiple nodes for further exploration according th the state's signature.…”
Section: Related Workmentioning
confidence: 99%