Automatic Performance Prediction of Parallel Programs, Thomas Fahringer
Автор: Michel Dayd?; Jos? M.L.M. Palma; ?lvaro L.G.A. Cou Название: High Performance Computing for Computational Science - VECPAR 2006 ISBN: 3540713506 ISBN-13(EAN): 9783540713500 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed post-proceedings of the 7th International Conference on High Performance Computing for Computational Science, VECPAR 2006, held in Rio de Janeiro, Brazil, in June 2006. This book contains sections on grid computing, cluster computing, numerical methods, large-scale simulations in Physics, and computing in Biosciences.
Описание: Presents a comprehensive and systematic discussion of theoretics, methods, techniques and tools for performance evaluation, prediction and visualization of parallel systems. This book serves as a reference for researchers, and also useful as a text for advanced courses on the topic.
Автор: Min Chen; Peter Townsend; John Vince Название: High Performance Computing for Computer Graphics and Visualisation ISBN: 3540760164 ISBN-13(EAN): 9783540760160 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Among the topics covered in the work are: the impact of the development of high performance computing on computer graphics and visualization; and the current use of high perfomance computing architecture and software tools in computer graphics and visualization.
Автор: Andreas Kn?pfer; Jos? Gracia; Wolfgang E. Nagel; M Название: Tools for High Performance Computing 2013 ISBN: 331938449X ISBN-13(EAN): 9783319384498 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Current advances in High Performance Computing (HPC) increasingly impact efficient software development workflows. Such tools aid application developers in debugging, performance analysis, or code optimization and therefore make a major contribution to the development of robust and efficient parallel software.
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