In this paper, we have demonstrated how the existing programming environments, tools and middleware could be used for the study of execution performance of parallel and sequential applications on a non-dedicated cluster. A set of parallel and sequential benchmark applications selected for and used in the experiments were characterized, and experiment requirements shown. 
The requirement for High Performance Computing (HPC) have increased dramatically over the years. Par...
The evolution of parallel and distributed architectures and programming paradigms for performance-or...
This paper describes a simulation-based technique for the performance prediction of message-passing ...
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...
Currently, coordinated scheduling of multiple parallel applications across computers has been consid...
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...
Abstract — A well organized parallel application can accomplish better performance over sequential e...
We address the problem of performance prediction for parallel programs executed on clusters of heter...
Execution of course grain parallel programs in PC clusters promises super-computer performance in lo...
© 2018 Vladimir V. Korkhov, Sergey S. Kobyshev, Alexander B. Degtyarev, Amissi Cubahiro, Luciano Gas...
Scheduling a large number of applications on a cluster computing environment is a serious obstacle t...
We report our experiences using the parallel programming environments, PVM, HeNCE, p4 and TCGMSG and...
Abstract. Application scheduling plays an important role in high-performance cluster computing. Appl...
The requirement for High Performance Computing (HPC) have increased dramatically over the years. Par...
The evolution of parallel and distributed architectures and programming paradigms for performance-or...
This paper describes a simulation-based technique for the performance prediction of message-passing ...
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...
Currently, coordinated scheduling of multiple parallel applications across computers has been consid...
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...
Abstract — A well organized parallel application can accomplish better performance over sequential e...
We address the problem of performance prediction for parallel programs executed on clusters of heter...
Execution of course grain parallel programs in PC clusters promises super-computer performance in lo...
© 2018 Vladimir V. Korkhov, Sergey S. Kobyshev, Alexander B. Degtyarev, Amissi Cubahiro, Luciano Gas...
Scheduling a large number of applications on a cluster computing environment is a serious obstacle t...
We report our experiences using the parallel programming environments, PVM, HeNCE, p4 and TCGMSG and...
Abstract. Application scheduling plays an important role in high-performance cluster computing. Appl...
The requirement for High Performance Computing (HPC) have increased dramatically over the years. Par...
The evolution of parallel and distributed architectures and programming paradigms for performance-or...
This paper describes a simulation-based technique for the performance prediction of message-passing ...