Introduction to High Performance Computing for Scientists and Engineers, Second Edition
CRC Press
2nd Edition
Will be published approx. on 1. June 2028
Book
Hardback
400 pages
978-1-138-30445-1 (ISBN)
Description
This book is a well-recognized and leading guidebook on High Performance Computing for a broad audience of readers from industry and academia. The new edition is completely reorganized and updated to include the latest research in HPC. A new introductory chapter and a new chapter on accelerated computing have been added to the book to keep pace with recent advances.
More details
Series
Edition
2nd edition
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Academic and Professional Practice & Development
Illustrations
150 s/w Abbildungen
150 Illustrations, black and white
Dimensions
Height: 254 mm
Width: 178 mm
ISBN-13
978-1-138-30445-1 (9781138304451)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Georg Hager | Gerhard Wellein
Introduction to High Performance Computing for Scientists and Engineers, Second Edition
Book
approx. 06/2028
2nd Edition
Chapman & Hall/CRC
€71.00
Article not available for order
Previous edition

Georg Hager | Gerhard Wellein
Introduction to High Performance Computing for Scientists and Engineers
Book
11/2017
1st Edition
CRC Press
€259.98
Shipment within 10-20 days
Persons
Author
University of Erlangen Nuremberg, Germany
University of Erlangen Nuremberg, Germany
Content
Introduction. Modern general-purpose processors. Basic optimization techniques for serial code. Parallel computers. Basics of parallelization. Shared-memory parallel programming with OpenMP. Node-level performance engineering. Efficient OpenMP programming. Locality optimizations on ccNUMA architectures. Distributed-memory parallel programming with MPI. Efficient MPI programming. Hybrid parallelization with MPI and OpenMP. Accelerated computing. Appendix: The LIKWID tool suite.