Elements of Parallel Computing

Author:   Eric Aubanel
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138470873


Pages:   238
Publication Date:   28 September 2017
Format:   Hardback
Availability:   In Print   Availability explained
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Elements of Parallel Computing


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Overview

Created to help scientists and engineers write computer code, this practical book addresses the important tools and techniques that are necessary for scientific computing, but which are not yet commonplace in science and engineering curricula. This book contains chapters summarizing the most important topics that computational researchers need to know about. It leverages the viewpoints of passionate experts involved with scientific computing courses around the globe and aims to be a starting point for new computational scientists and a reference for the experienced. Each contributed chapter focuses on a specific tool or skill, providing the content needed to provide a working knowledge of the topic in about one day. While many individual books on specific computing topics exist, none is explicitly focused on getting technical professionals and students up and running immediately across a variety of computational areas.

Full Product Details

Author:   Eric Aubanel
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9781138470873


ISBN 10:   1138470872
Pages:   238
Publication Date:   28 September 2017
Audience:   College/higher education ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

The Parallel Computing Landscape. Parallel Machine and Execution Models. Parallel Computing Structures. Machine Models and Program Structures. Performance Analysis and Optimization. Parallel Computing Workshop.

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Author Information

Eric Aubanel is a Professor in the Faculty of Computer Science at the University of New Brunswick, Fredericton , C anada. His area of research is High Performance Computing. He is part of the IBM Center for Advanced Studies - Atlantic and associated with the Atlantic Computational Excellence Network (ACEnet). His research is funded by NSERC.

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