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.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Maße
Höhe: 254 mm
Breite: 178 mm
Gewicht
ISBN-13
978-1-138-47087-3 (9781138470873)
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Schweitzer Klassifikation
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.
The Parallel Computing Landscape. Parallel Machine and Execution Models. Parallel Computing Structures. Machine Models and Program Structures. Performance Analysis and Optimization. Parallel Computing Workshop.
