Handbook of Research on Computational Science and Engineering: Theory and Practice, 1st Edition

  • Joanna Leng
  • Published By:
  • ISBN-10: 161350117X
  • ISBN-13: 9781613501177
  • DDC: 501.13
  • Grade Level Range: College Freshman - College Senior
  • 702 Pages | eBook
  • Original Copyright 2012 | Published/Released December 2011
  • This publication's content originally published in print form: 2012

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HANDBOOK OF RESEARCH ON COMPUTATIONAL SCIENCE AND ENGINEERING: THEORY AND PRACTICE is a reference for interested researchers and decision-makers who want a timely introduction to the possibilities in CSE to advance their ongoing research and applications or to discover new resources and cutting edge developments. Rather than reporting results obtained using CSE models, this comprehensive survey captures the architecture of the cross-disciplinary field, explores the long term implications of technology choices, alerts readers to the hurdles facing CSE, and identifies trends in future development.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Editorial Review Board.
List of Reviewers.
List of Contributors.
Table of Contents.
Detailed Table of Contents.
1: Hardware and Software.
2: Hardware Trends and Implications for Programming Models.
3: Multi-Threaded Architectures: Evolution, Costs, Opportunities.
4: High-Performance Customizable Computing.
5: High-Performance Computing for Theoretical Study of Nanoscale and Molecular Interconnects.
6: Effective Open-Source Performance Analysis Tools.
7: Pragmatic Software Engineering for Computational Science.
8: A Framework for Testing Code in Computational Applications.
9: Developing Software for a Scientific Community: Some Challenges and Solutions.
10: Opportunities and Challenges in Porting a Parallel Code from a Tightly-Coupled System to the Distributed EU Grid, Enabling Grids for E-sciencE.
11: Applications.
12: Development of an Efficient and Secure Mobile Communication System with New Future Directions.
13: Parallel Quantum Chemistry at the Crossroads.
14: Stochastic Simulations in Systems Biology.
15: Some Illustrations of Information Geometry in Biology and Physics.