Multi-core processor has become the main body of the processor architecture, which demands more for operating system and application software. The original serial programming techniques on multi-core platform is no lo...
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This paper considers the problem of designing numerical linear algebra computations with a parallel object oriented programming language. An extension to C++ based on a Concurrent Aggregate concept is used to describe...
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The course of parallel programming is becoming more and more important for the education of students majoring in computer science. However, it is not easy to learn parallel programming well due to its high theory and ...
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Now a day's processing huge amount of data open challenge in web resources. Map Reduce programming model is solution to this problem. This framework is useful to compute distributed batch of jobs. Output of Mapper...
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The advantages of the Monte Carlo method for reactor analysis are well known, but the full-core reactor analysis challenges the computational time and computer memory. Meanwhile, the exponential growth of computer pow...
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We present a new parallel programming tool environment that is (1) accessible and executable "anytime, anywhere," through standard Web browsers and (2) integrated in that it provides tools that adhere to a c...
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Many graph optimization problems, such as theMaximumWeighted Independent Set problem, are NP-hard. For large scale graphs that have billions of edges or vertices, these problems are hard to be computed directly even u...
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In this paper we present the integration of state of the art, open source, production level tools into a parallel programming environment, used for teaching parallel programming in MPI and OpenMP. Based on experiences...
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