Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07) 2007
DOI: 10.1109/ccgrid.2007.74
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On the Advantages of an Alternative MPI Execution Model for Grids

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Cited by 9 publications
(8 citation statements)
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“…In the master-worker LAM/MPI version, the master process distributes units of workload equivalent to that of a process P to 24 worker processes on demand. While as expected the results show that the AMS execution is slightly slower than that of pure LAM/MPI for a homogeneous environment, this scenario is reversed in shared heterogenous Grids [4].…”
Section: Computational Experimentssupporting
confidence: 65%
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“…In the master-worker LAM/MPI version, the master process distributes units of workload equivalent to that of a process P to 24 worker processes on demand. While as expected the results show that the AMS execution is slightly slower than that of pure LAM/MPI for a homogeneous environment, this scenario is reversed in shared heterogenous Grids [4].…”
Section: Computational Experimentssupporting
confidence: 65%
“…The fact that resources maybe heterogeneous, shared with local jobs, and fault-prone not only makes this model inefficient but also makes managing the execution of applications extremely complex. A one process per task (1PTask) execution model has been proposed where programs consist of a larger number (determined by the parallelism of the application and not the number of resources) of shorter-lived processes [4]. For this model, we propose to adopt a fault tolerance strategy based solely on message logging.…”
Section: Concepts and Related Workmentioning
confidence: 99%
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“…For the two smaller values of N , the AMS ring algorithm's execution times were, as expected, slightly higher (6.6% and 1.0%) due to overheads of the EasyGrid AMS [9] to manage both the creation and execution of processes and the extra communication incurred by following the alternative execution model [11]. As N increases, this overhead diminishes to the point that AMS ring achieves better results than MPI ring.…”
Section: Homogeneous Environmentsupporting
confidence: 57%
“…To maximise the performance of the N -body ring algorithm when executing in not only physically heterogeneous, but also dynamic and shared environments, this work proposes a new approach based on the execution model specified in [11]. Instead of executing one long running process per processor, a set of smaller processes (called tasks) with precedence relationships among them is defined.…”
Section: Grid-enabling the Ring Algorithmmentioning
confidence: 99%