AbstractProgram environments are now commonly used for parallelism on networks of workstations. There is a need for simple and consistent tools to measure algorithm performance on heterogeneous networks. In this work we propose a generalization to heterogeneous networks of the classical efficiency formula E(N) = S(N)N, where S(N) is the speedup on N processors
Bibliography: leaves 137-145.In the past decade the cost of computing has come down considerably mak...
The computational efficiency and computational complexity of different networks.</p
Presented here is a set of methods and tools developed to provide transportable measurements of perf...
A heterogeneous network of workstations (NOW) in-troduces a new performance factor into distributed ...
Although cluster environments have an enormous potential processing power, real applications that ta...
Heterogeneous parallel systems are becoming increasingly more common, especially with the increasing...
Heterogeneous Networks are bunch of homogeneous networks base stations grouped together. The term in...
This thesis introduces two algorithms for the calculation of reliability and performability metrics ...
In this paper, we address the problem of optimal distribu-tion of computational tasks on a network o...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Heterogeneous distributed computing systems are an economical and efficient architecture for process...
Using Amdahl’s law as a metric, the authors illustrate a technique for developing efficient code on ...
A parallel system consists of a parallel algorithm and a parallel machine that supports the implemen...
Abstract. While evolutionary algorithms (EAs) have many advantages, they have to evaluate a relative...
Abstract. The paper presents a tool that ports ScaLAPACK programs designed to run on massively paral...
Bibliography: leaves 137-145.In the past decade the cost of computing has come down considerably mak...
The computational efficiency and computational complexity of different networks.</p
Presented here is a set of methods and tools developed to provide transportable measurements of perf...
A heterogeneous network of workstations (NOW) in-troduces a new performance factor into distributed ...
Although cluster environments have an enormous potential processing power, real applications that ta...
Heterogeneous parallel systems are becoming increasingly more common, especially with the increasing...
Heterogeneous Networks are bunch of homogeneous networks base stations grouped together. The term in...
This thesis introduces two algorithms for the calculation of reliability and performability metrics ...
In this paper, we address the problem of optimal distribu-tion of computational tasks on a network o...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Heterogeneous distributed computing systems are an economical and efficient architecture for process...
Using Amdahl’s law as a metric, the authors illustrate a technique for developing efficient code on ...
A parallel system consists of a parallel algorithm and a parallel machine that supports the implemen...
Abstract. While evolutionary algorithms (EAs) have many advantages, they have to evaluate a relative...
Abstract. The paper presents a tool that ports ScaLAPACK programs designed to run on massively paral...
Bibliography: leaves 137-145.In the past decade the cost of computing has come down considerably mak...
The computational efficiency and computational complexity of different networks.</p
Presented here is a set of methods and tools developed to provide transportable measurements of perf...
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