Currently, coordinated scheduling of multiple parallel applications across computers has been considered as the critical factor to achieve high execution performance. We claim in this report that the performance and costs of the execution of parallel applications could be improved if not only dedicated clusters but also non-dedicated clusters were used and several parallel applications were executed concurreontly. To support this claim we carried out experimental study into the performance of multiple NAS parallel programs executing concurrently on a non-dedicated cluster.<br /
A model of system performance for parallel processing on clustered multiprocessors is developed whic...
We introduce a methodology for the study of the application-level performance of time-sharing parall...
Execution of course grain parallel programs in PC clusters promises super-computer performance in lo...
Currently, coordinated scheduling of multiple parallel applications across computers has been consid...
Dedicated clusters are becoming commonly used for high performance parallel processing. Computers of...
Although individual PCs of a cluster are used by their owners to run sequential applications (local ...
Studies have shown that most of the computers in a non-dedicated cluster are often idle or lightly l...
In this paper, we have demonstrated how the existing programming environments, tools and middleware ...
Abstract — A well organized parallel application can accomplish better performance over sequential e...
This paper examines the plausibility of using a network of workstations (NOW) for a mixture of paral...
© 2018 Vladimir V. Korkhov, Sergey S. Kobyshev, Alexander B. Degtyarev, Amissi Cubahiro, Luciano Gas...
We address the problem of performance prediction for parallel programs executed on clusters of heter...
Exploiting clusters of workstations as a single computational resource is an attractive alternative ...
. In this paper, we describe experiments comparing the communication times for a number of different...
A commonly seen behavior of parallel applications is that their runtime is influenced by network com...
A model of system performance for parallel processing on clustered multiprocessors is developed whic...
We introduce a methodology for the study of the application-level performance of time-sharing parall...
Execution of course grain parallel programs in PC clusters promises super-computer performance in lo...
Currently, coordinated scheduling of multiple parallel applications across computers has been consid...
Dedicated clusters are becoming commonly used for high performance parallel processing. Computers of...
Although individual PCs of a cluster are used by their owners to run sequential applications (local ...
Studies have shown that most of the computers in a non-dedicated cluster are often idle or lightly l...
In this paper, we have demonstrated how the existing programming environments, tools and middleware ...
Abstract — A well organized parallel application can accomplish better performance over sequential e...
This paper examines the plausibility of using a network of workstations (NOW) for a mixture of paral...
© 2018 Vladimir V. Korkhov, Sergey S. Kobyshev, Alexander B. Degtyarev, Amissi Cubahiro, Luciano Gas...
We address the problem of performance prediction for parallel programs executed on clusters of heter...
Exploiting clusters of workstations as a single computational resource is an attractive alternative ...
. In this paper, we describe experiments comparing the communication times for a number of different...
A commonly seen behavior of parallel applications is that their runtime is influenced by network com...
A model of system performance for parallel processing on clustered multiprocessors is developed whic...
We introduce a methodology for the study of the application-level performance of time-sharing parall...
Execution of course grain parallel programs in PC clusters promises super-computer performance in lo...