Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2016
Genre:	EDV / Informatik
	COMPUTERS / Distributed Systems / General / COMPUTERS / Interactive & Multimedia / COMPUTERS / Languages / General / CUDA / CUDA 5 / GPU coding / GPU computing / Manycore GPUs / Multicore / Nvidia / OpenACC / parallel computing / parallel programming / Programming & scripting languages# general / Programming and scripting languages# general mehr...
ISBN:	9780124103979
EAN-Code:	9780124103979
Verlag:	Elsevier
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 191 mm / D 17 mm
Gewicht:	730 gr
Seiten:	326
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Parallel Programming with OpenACC is a modern, practical guide to implementing dependable computing systems. Parallel Programming with OpenACC explains how anyone can use OpenACC to quickly ramp-up application performance using high-level code directives called pragmas. The OpenACC directive-based programming model is designed to provide a simple yet powerful approach to accelerators without significant programming effort. . Author Rob Farber, working with a team of expert contributors, demonstrates how to turn existing applications into portable GPU accelerated programs that demonstrate immediate speedups. The book also will help you get the most from the latest NVIDIA and AMD GPU plus multicore CPU architectures (and soon for Intel® Xeon Phi(TM) as well). Downloadable example codes provide hands-on OpenACC experience for common problems in scientific, commercial, big-data, and real-time systems. . Topics include writing reusable code, asynchronous capabilities, using libraries, multicore clusters, and much more. Each chapter explains how a specific aspect of OpenACC technology fits, how it works, and pitfalls to avoid. Throughout, the book demonstrates using clear, simple, working examples that can be adapted to solve your application needs.