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Computer architecture. Operating systems --- Electronic data processing --- Parallel computers --- Beowulf clusters (Computer systems) --- Distributed processing --- Beowulf clusters (Computer systems). --- Parallel computers. --- Distributed processing. --- Ordinateurs parallèles --- Traitement réparti --- Beowulf (Systèmes informatiques) --- Electronic data processing - Distributed processing
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Parallel computers --- Electronic data processing --- Beowulf clusters (Computer systems) --- Engineering & Applied Sciences --- Computer Science --- Beowulf-class computer systems --- Beowulf-class computers --- Beowulf-class PC clusters --- Beowulfs (Computer systems) --- Clusters, Beowulf (Computer systems) --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Computers --- Office practice --- Electronic digital computers --- Distributed processing --- Automation --- Electronic data processing. --- Distributed processing.
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Building a computer ten times more powerful than all the networked computing capability in the United States is the subject of this book by leading figures in the high performance computing community. It summarizes the near-term initiatives, including the technical and policy agendas for what could be a twenty-year effort to build a petaFLOP scale computer. (A FLOP -- Floating Point OPeration -- is a standard measure of computer performance and a PetaFLOP computer would perform a million billion of these operations per second.) Chapters focus on four interrelated areas: applications and algorithms, device technology, architecture and systems, and software technology.While a petaFLOPS machine is beyond anything within contemporary experience, early research into petaFLOPS system design and methodologies is essential to U.S. leadership in all facets of computing into the next century. The findings reported here explore new and fertile ground. Among them: construction of an effective petaFLOPS computing system will be feasible in two decades, although effectiveness and applicability will depend on dramatic cost reductions as well as innovative approaches to system software and programming methodologies; a mix of technologies such as semiconductors, optics, and possibly cryogenics will be required; and while no fundamental paradigm shift in system architecture is expected, active latency management will be essential, requiring a high degree of fine-grain parallelism and the mechanisms to exploit it.Scientific and Engineering Computation series.
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High performance computing --- Big data --- Data sets, Large --- Large data sets --- Data sets
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