A Fast and Efficient Algorithm for Topology-Aware Coallocation

Kravtsov, Valentin; Swain, Martin; Dubin, Uri; Dubitzky, Werner; Schuster, Assaf

doi:10.1007/978-3-540-69384-0_33

Cited by 6 publications

(1 citation statement)

References 14 publications

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“…QCG-OMPI features the necessary additions to the MPI language to present the topology chosen by the QosCosGrid metascheduler [30] to the application.…”

Section: Topology Adaptation Mechanismmentioning

confidence: 99%

QCG-OMPI: MPI applications on grids

Agullo

Coti

Hérault

et al. 2011

Future Generation Computer Systems

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Computational grids present promising computational and storage capacities. They can be made by punctual aggregation of smaller resources (\ie, clusters) to obtain a large-scale supercomputer. Running general applications is challenging for several reasons. The first one is interprocess communication: processes running on different clusters must be able to communicate with one another in spite of security equipments such as firewalls and NATs. Another problem raised by grids for communication-intensive parallel application is caused by the heterogeneity of the available networks that interconnect processes with one another. In this paper we present how QCG-OMPI can execute efficient parallel applications on computational grids. We first present an MPI programmation, communication and execution middleware called QCG-OMPI. We then present how applications can make use of the capabilities of QCG-OMPI by presented two typical, parallel applications: a geophysics application combining collective operations and a master-worker scheme, and a linear algebra application. QCG-OMPI: MPI Applications on Grids AbstractComputational grids present promising computational and storage capacities. They can be made by punctual aggregation of smaller resources (i.e., clusters) to obtain a large-scale supercomputer. Running general applications is challenging for several reasons. The first one is inter-process communication: processes running on different clusters must be able to communicate with one another in spite of security equipments such as firewalls and NATs. Another problem raised by grids for communication-intensive parallel application is caused by the heterogeneity of the available networks that interconnect processes with one another. In this paper we present how QCG-OMPI can execute efficient parallel applications on computational grids. We first present an MPI programmation, communication and execution middleware called QCG-OMPI. We then present how applications can make use of the capabilities of QCG-OMPI by presented two typical, parallel applications: a geophysics application combining collective operations and a master-worker scheme, and a linear algebra application.

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“…QCG-OMPI features the necessary additions to the MPI language to present the topology chosen by the QosCosGrid metascheduler [30] to the application.…”

Section: Topology Adaptation Mechanismmentioning

confidence: 99%