This paper presents a novel scheme for maintaining accurate information about distributed data in message-passing programs. The ability to maintain dynamically the data-to-processor mapping as well as the program cont...
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Star graph is an extensively studied Cayley graph, considered to be an attractive alternative to the popular binary cube. The rotator graphs are a set of directed Cayley graphs introduced recently. In this paper we co...
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This paper explains how efficient support for semi-regular distributions can be incorporated in a uniform compilation framework for hybrid applications. The key focus of this work is in showing how, unlike other exist...
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This paper explains how efficient support for semi-regular distributions can be incorporated in a uniform compilation framework for hybrid applications. The key focus of this work is in showing how, unlike other existing schemes, our scheme is able to minimize preprocessing overheads and maintain sophisticated communication optimizations (such as reduction of inter-processor communication during schedule generation and sharing of communicated information between regular and irregular accesses) even in the presence of semi-regular distributions. It is only natural that preprocessing overheads associated with semi-regular distributions be intermediate between those involved for regular and irregular distributions. This paper shows how various properties can be inferred for semi-regular distributions. These allow the use of the interval representation which in turn reduces the preprocessing overhead and makes possible compatible code generation for hybrid references. Experimental results on a 16-processor IBM SP-2 for a number of sparse applications using semi-regular distributions show that our scheme is feasible.
We design a cost-optimal algorithm for managing a parallel heap on an exclusive-read exclusive-write (EREW), parallel random access machine (PRAM) model. We also analyze the time and space complexities of our algorith...
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The computing power provided by high performance and low cost PC-based clusters and Grid computing platforms are attractive and they are equal or superior to supercomputers and mainframes. In parallel, discussions on ...
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Cluster and grid computing is a relatively new interdisciplinary field, where computer science, engineering and computational biology as its core supporting disciplines. The rise of cluster and grid computing discipli...
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The approaches to deal with scheduling and load balancing on PC-based cluster systems are famous and well-known. Self-scheduling schemes, which are suitable for parallel loops with independent iterations on cluster co...
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In this paper, we present BioGrid, a novel computing resource that combines advantages of grid computing technology with bioinformatics parallel applications. The grid environment permits the sharing of a large amount...
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In this research paper, we integrate and implement High-Availability (HA) and Load-Balancing technologies to clusters of workstations, increasing both the availability and scalability of services and resources in thes...
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