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of the Massively Parallel Processor (MPP), including discussions of hardware and software with special emphasis on applications, algorithms, and;
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on massively parallel processor arrays. The authors show how to compute optimal symbolic assignments and parallel schedules of loop;
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This book introduces new massively parallel computer (MPSoC) architectures called invasive tightly coupled processor arrays. It proposes;
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Programming Massively Parallel Processors discusses the basic concepts of parallel programming and GPU architecture. Various techniques;
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gap, and many popular solutions have emerged based on its concepts, such as grid computing and massively parallel supercomputers. The Handbook;
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Programming Massively Parallel Processors: A Hands-on Approach, Third Edition shows both student and professional alike the basic;
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1990s. These papers from the 1994 conference on programming environments for massively parallel systems address the spectrum of software;
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In the last decade, parallel computing technologies have transformed high-performance computing. Two trends have emerged massively parallel;
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by huge numbers of users. This growth strains the ability of single-processor and single-computer systems to handle the load. More and;
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sequential processing. In sequential computation one processor is inĀ volved and performs one operation at a time. On the other hand, in parallel;
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speed, modern bioinformatics tools need to take advantage of parallel computer architectures. Now that the era of the many-core processor has;
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/> The first section of the book delves into massively parallel distributed memory and multithreaded architecture design, synchronization and;
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Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel;
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Programming Massively Parallel Processors: A Hands-on Approach shows both students and professionals alike the basic concepts;
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applications that harness the power of multi-core and multi-processor machines. Simpler to use and more powerful than classic .NET threads, parallel;
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In this 1991 book, Hilbers discusses the general case of how to use processors simultaneously in order to solve a single problem rather;
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In this 1991 book, Hilbers discusses the general case of how to use processors simultaneously in order to solve a single problem rather;
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computational times. The authors believe that recent advances in parallel and distributed processing techniques are currently mature enough and can;
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Integrating associative processing concepts with massively parallel SIMD technology, this volume explores a model for accessing data by;
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Computer Architecture: Pipeline and Parallel Processor Design was designed for a graduate level course on computer architecture and;
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-processor for the DEM Covers the parallel implementation of DEM on the cluster, multi-core PC, GPU PC Full of examples;
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processors and discusses the efficient implementation of key algorithms needed to implement parallel programming models. Such implementations need to;
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of massively-parallel computing with the comfort of sequential programming. Parallel Programming Using C++ describes fifteen parallel programming;
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The book Parallel Computing deals with the topics of current interest in high performance computing, viz. pipeline and parallel;
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techniques for building fault-tolerant systems to make a powerful language for building the massively parallel, networked applications of the future;
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/>Daniel Hillis, inventor of the superfast Connection MachineĀ®, provides a clear explanation of massively parallel computing. The essays that;
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solvers. In addition, it presents novel and unique algorithms of solving shortest problems in massively parallel cellular automaton machines. The;
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