Numerical Linear Algebra (Hardcover)

As per the constant need to solve larger and larger numerical problems, it is not possible to neglect the opportunity that comes from the close adaptation of computational algorithms and their implementations for particular features of computing devices, i.e. the characteristics and performance of available workstations and servers. In the last decade, the advances in hardware manufacturing, the decreasing cost and the spread of GPUs have attracted the attention of researchers for numerical simulations, given that for some problems, GPU-based simulations can significantly outperform the ones based on CPUs. The objective of this book is first to present how to design in a context of GPGPU numerical methods in order to obtain the highest efficiency. A second objective of this book is to propose new auto-tuning techniques to optimize access on GPU. A third objective of this book is to propose new preconditioning techniques for GPGPU. Finally, an original energy consumption model is proposed, leading to a robust and accurate energy consumption prediction model.

General

Imprint:	ISTE Press Ltd - Elsevier Inc
Country of origin:	United Kingdom
Release date:	December 2018
First published:	2017
Authors:	Frederic Magoules
Dimensions:	229 x 152mm (L x W)
Format:	Hardcover
Pages:	200
ISBN-13:	978-1-78548-244-1
Categories:	Books > Science & Mathematics > Mathematics > Algebra > General Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > Parallel processing Promotions
LSN:	1-78548-244-0
Barcode:	9781785482441

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