We introduce a novel approach to produce BSP (Bulk Synchronous programming model) programs and we show their efficiency by implementing the stable sorting problem on clusters of PC. Experimental results on PCs based o...
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Recent advances in software and hardware for clustered computing have allowed scientists and computing specialists to take advantage of commodity processors in solving challenging computational problems. The setup, ma...
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With the advent of Gigabit Ethernet network technology, a new contender for the next-generation cluster interconnect is on the horizon. We benchmark Gigabit Ethernet and compare it to other cluster interconnects, name...
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A basic prerequisite for parallel programming is a good communication API. The recent interest in using Java for scientific and engineering application has led to several international efforts to produce a message pas...
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Clusters of PCs are traditionally programmed using the message passing paradigm as this is directly supported by their loosely coupled architecture. Shared memory programming is mostly neglected although it is commonl...
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The SCOOPP (Scalable Object Oriented parallel programming) system is an hybrid compile and run-time system, that extracts parallelism, supports explicit parallelism and dynamically serialises parallel tasks in excess,...
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Distributed Objects (DO) as defined by OMG's CORBA architecture provide a model for object-oriented parallel distributed computing. The parallelism in this model however is limited in that the distribution refers ...
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Traditional parallel programming forces the programmer to understand the enormous amount of performance information obtained from the execution of a program. In this paper, we show how the use of KappaPi automatic ana...
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This paper investigates the effectiveness of parallel computing in the calculation of the bispectrum. The bispectrum is estimated by using two different methods namely the direct and the indirect. The direct method em...
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Multithreading is widely accepted in shared memory systems such as the symmetric multiprocessor (SMP) machine. However in the clustering environment, multithreading is considered expensive and difficult. Process is st...
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