The current technologies have made it possible to execute parallel applications across heterogeneous platforms. However, the performance models available do not provide adequate methods to calculate, compare and predict the applications performance on these platforms. In this paper, we discuss an enhanced performance evaluation model for parallel applications on heterogeneous systems. In our analysis, we include machines of different architectures, specifications and operating environments. We also discuss the enabling technologies that facilitate such heterogeneous applications. The model is then validated through experimental measurements using an agent-based parallel Java system, which facilitates simultaneous utilization of heterogeneou...
This work describes a novel way to select the best computer node out of a pool of available potentia...
High-performance computing is essential for solving large problems and for reducing the time to solu...
Heterogeneous parallel systems are becoming increasingly more common, especially with the increasing...
The current technologies have made it possible to execute parallel applications across heterogeneous...
In this paper, we introduce an agent-based infrastructure that provides software services and functi...
A heterogeneous network of workstations (NOW) in-troduces a new performance factor into distributed ...
In a virtualized heterogeneous cluster, for a distributed parallel application which runs in multipl...
In this paper, we present a performance model for Java applications that allows us to determine the ...
We address the problem of performance prediction for parallel programs executed on clusters of heter...
In this paper, we introduce a middleware infrastructure that provides software services for developi...
Performance evaluation of applications running on a Grid is a challenging task. Grid’s resources are...
Abstract. Java is gaining considerable recognition as the most suitable language for developing dist...
Heterogeneous distributed computing systems are an economical and efficient architecture for process...
Although cluster environments have an enormous potential processing power, real applications that ta...
Mobile agent has motivated the creation of a new methodology for parallel computing. We introduce a ...
This work describes a novel way to select the best computer node out of a pool of available potentia...
High-performance computing is essential for solving large problems and for reducing the time to solu...
Heterogeneous parallel systems are becoming increasingly more common, especially with the increasing...
The current technologies have made it possible to execute parallel applications across heterogeneous...
In this paper, we introduce an agent-based infrastructure that provides software services and functi...
A heterogeneous network of workstations (NOW) in-troduces a new performance factor into distributed ...
In a virtualized heterogeneous cluster, for a distributed parallel application which runs in multipl...
In this paper, we present a performance model for Java applications that allows us to determine the ...
We address the problem of performance prediction for parallel programs executed on clusters of heter...
In this paper, we introduce a middleware infrastructure that provides software services for developi...
Performance evaluation of applications running on a Grid is a challenging task. Grid’s resources are...
Abstract. Java is gaining considerable recognition as the most suitable language for developing dist...
Heterogeneous distributed computing systems are an economical and efficient architecture for process...
Although cluster environments have an enormous potential processing power, real applications that ta...
Mobile agent has motivated the creation of a new methodology for parallel computing. We introduce a ...
This work describes a novel way to select the best computer node out of a pool of available potentia...
High-performance computing is essential for solving large problems and for reducing the time to solu...
Heterogeneous parallel systems are becoming increasingly more common, especially with the increasing...