As Grid computing is becoming a reality, there is a need for managing and monitoring the available resources worldwide, as well as the need for conveying these resources to the everyday user. This paper describes a re...
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The main aim of this work is to show, how GPGPUs can facilitate certain type of image processing methods. The software used in this paper is used to detect special tissue part, the nuclei on (HE - hematoxilin eosin) s...
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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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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 compare the structural and algorithmic aspects of star graphs with that of rotator graphs. In the process we present some new results for star graphs and rotator graphs. We present a formula for the number of nodes at any distance from the identity permutation in star graphs. The minimum bisection width of star and rotator graphs is obtained. Partitioning and fault tolerant parameters for both star and rotator graphs are analyzed. The node disjoint parallel paths and hence the upper bound on the fault diameter of rotator graphs are presented. We compare the minimal path routing in star and rotator graphs using simulation results.
During the last decade, using parallel and distributed system has been more general. In these systems a huge size of data or computation is distributed between many systems for getting better performance. Dividing dat...
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ISBN:
(纸本)9781424437740
During the last decade, using parallel and distributed system has been more general. In these systems a huge size of data or computation is distributed between many systems for getting better performance. Dividing data is one of the challenges in this type of system. Because efficiency of system has direct relation to distributed data. One of proposed method for managing data distribution called divisible load theory. This method is based on this actuality that data in some applications can be divided arbitrarily to some independent parts which each of them can be processed independently from others. In this paper we present a survey on DLT. This article will discuss about some basic concepts for understanding this method. Then some reasons for using it and basic concept and notation used in this method, will be investigated. We will solve an example and some of application of this method will be mentioned.
In this paper, we present our Grid-based decision tree architecture, with the intention of applying it to both parallel and sequential algorithms. Also, we show that, based on the scope and model of data mining applie...
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Summary form only given. In order for I/O systems to achieve high performance in a parallel environment, they must either sacrifice client-side file caching, or keep caching and deal with complex coherency issues. The...
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Summary form only given. In order for I/O systems to achieve high performance in a parallel environment, they must either sacrifice client-side file caching, or keep caching and deal with complex coherency issues. The most common technique for dealing with cache coherency in multiclient file caching environments uses file locks to bypass the client-side cache. Aside from effectively disabling cache usage, file locking is sometimes unavailable on larger systems. The high-level abstraction layer of MPI allows us to tackle cache coherency with additional information and coordination without using file locks. By approaching the cache coherency issue further up, the underlying I/O accesses can be modified in such a way as to ensure access to coherent data while satisfying the user's I/O request. We can effectively exploit the benefits of a file system's client-side cache while minimizing its management costs.
In this paper, a parallel loop self-scheduling scheme for heterogeneous PC cluster systems is proposed. Though the proposed scheme does allow users to choose parameters before the execution initialization phase, there...
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Internet computing and grid technologies promise to change the way we tackle complex problems. They will enable large-scale aggregation and sharing of computational, data and other resources across institutional bound...
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There is increasing interest in computing models that support extensibility of systems through code migration. Although appealing both from the system design and extensibility points of view, extensible systems are vu...
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There is increasing interest in computing models that support extensibility of systems through code migration. Although appealing both from the system design and extensibility points of view, extensible systems are vulnerable to an external program's aberrant execution behaviors. We examine the problems of resource access control and resource consumption. We propose solutions for these problems and analyze their effectiveness.
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