Детальная информация

Название: Enabling technologies for Petaflops computing
Авторы: Sterling Thomas Lawrence; Messina Paul C.; Smith Paul H.
Организация: IEEE Xplore (Online Service); MIT Press
Выходные сведения: Cambridge, Massachusetts London, England: MIT Press, 1995
Коллекция: Электронные книги зарубежных издательств; MIT Press eBooks Library; Общая коллекция
Тематика: Вычислительные машины электронные персональные
УДК: 004.382.7
Тип документа: Другой
Тип файла: Другой
Язык: Английский
Права доступа: Доступ по паролю из сети Интернет (чтение, печать)
Ключ записи: 6267455

Разрешенные действия: Посмотреть


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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