Description: Art of High Performance Computing for Computational Science : Advanced Techniques and Examples for Materials Science, Paperback by Geshi, Masaaki (EDT), ISBN 9811398046, ISBN-13 9789811398049, Like New Used, Free shipping in the US This book presents advanced and practical techniques for performance optimization for highly parallel processing. Featuring various parallelization techniques in material science, it is a valuable resource for anyone developing software codes for computational sciences such as physics, chemistry, biology, earth sciences, space science, weather, disaster prevention and manufacturing, as well as for anyone using those software codes. Chapter 1 outlines supercomputers and includes a brief explanation of the history of hardware. Chapter 2 presents procedures for performance evaluation, while Chapter 3 describes the set of tuned applications in materials science, nanoscience and nanotechnology, earth science and engineering on the K computer. Introducing the order-N method, based on density functional theory (DFT) calculation, Chapter 4 explains how to extend the applicability of DFT to large-scale systems by reducing the computational complexity. Chapter 5 discusses acceleration and parallelization in classical molecular dynamics simulations, and lastly, Chapter 6 explains techniques for large-scale quantum chemical calculations, including the order-N method. This is the second of the two volumes that grew out of a series of lectures in the K computer project in Japan. The first volume addresses more basic techniques, and this second volume focuses on advanced and concrete techniques.
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End Time: 2024-11-17T03:36:48.000Z
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Book Title: Art of High Performance Computing for Computational Science : Adv
Number of Pages: IX, 206 Pages
Language: English
Publication Name: Art of High Performance Computing for Computational Science, Vol. 2 : Advanced Techniques and Examples for Materials Science
Publisher: Springer
Subject: Programming / General, Computer Simulation, Chemistry / Computational & Molecular Modeling
Publication Year: 2020
Type: Textbook
Item Weight: 11.9 Oz
Item Length: 9.3 in
Author: Masaaki Geshi
Subject Area: Computers, Science
Item Width: 6.1 in
Format: Trade Paperback