Studies have shown that most of the computers in a non-dedicated cluster are often idle or lightly loaded. The underutilized computers in a non-dedicated cluster can be employed to execute parallel applications. The aim of this study is to learn how concurrent execution of a computation-bound and sequential applications influence their execution performance and cluster utilization. The result of the study has demonstrated that a computation-bound parallel application benefits from load balancing, and at the same time sequential applications suffer only an insignificant slowdown of execution. Overall, the utilization of a non-dedicated cluster is improved.<br /
The low cost and availability of clusters of workstations have lead researchers to re-explore distri...
Abstract. Application scheduling plays an important role in high-performance cluster computing. Appl...
The next generation computing systems are focusing on parallel computing to solve the problem in fas...
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 ...
Currently, coordinated scheduling of multiple parallel applications across computers has been consid...
Currently, coordinated scheduling of multiple parallel applications across computers has been consid...
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...
We propose a massively parallel framework termed a parallel-pipeline model of execution that can be ...
Scheduling a large number of applications on a cluster computing environment is a serious obstacle t...
This paper examines the plausibility of using a network of workstations (NOW) for a mixture of paral...
Abstract—this paper studies the influence that task placement may have on the performance of applica...
Parallel computer clusters now represent a mainstream resource of commodity compute cycles in many a...
A parallel concurrent application runs most efficiently and quickly when the workload is distributed...
The low cost and availability of clusters of workstations have lead researchers to re-explore distri...
Abstract. Application scheduling plays an important role in high-performance cluster computing. Appl...
The next generation computing systems are focusing on parallel computing to solve the problem in fas...
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 ...
Currently, coordinated scheduling of multiple parallel applications across computers has been consid...
Currently, coordinated scheduling of multiple parallel applications across computers has been consid...
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...
We propose a massively parallel framework termed a parallel-pipeline model of execution that can be ...
Scheduling a large number of applications on a cluster computing environment is a serious obstacle t...
This paper examines the plausibility of using a network of workstations (NOW) for a mixture of paral...
Abstract—this paper studies the influence that task placement may have on the performance of applica...
Parallel computer clusters now represent a mainstream resource of commodity compute cycles in many a...
A parallel concurrent application runs most efficiently and quickly when the workload is distributed...
The low cost and availability of clusters of workstations have lead researchers to re-explore distri...
Abstract. Application scheduling plays an important role in high-performance cluster computing. Appl...
The next generation computing systems are focusing on parallel computing to solve the problem in fas...