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About this book
Although the highly anticipated petascale computers of the near future will perform at an order of magnitude faster than today's quickest supercomputer, the scaling up of algorithms and applications for this class of computers remains a tough challenge. From scalable algorithm design for massive concurrency toperformance analyses and scientific vis
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Yes, you can access Petascale Computing by David A. Bader in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Games. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover Page
- Halftitle Page
- Chapman & Hall/CRC Computational Science Series
- Title Page
- Copyright Page
- Dedication Page
- Chapman & Hall/CRC Computational Science Series
- Foreword
- Introduction
- About the Editor
- Contributors
- Contents
- List of Tables
- List of Figures
- Chapter 1: Performance Characteristics of Potential Petascale Scientific Applications
- Chapter 2: Petascale Computing: Impact on Future NASA Missions
- Chapter 3: Multiphysics Simulations and Petascale Computing
- Chapter 4: Scalable Parallel AMR for the Uintah Multi-Physics Code
- Chapter 5: Simulating Cosmological Evolution with Enzo
- Chapter 6: Numerical Prediction of High-Impact Local Weather: A Driver for Petascale Computing
- Chapter 7: Software Design for Petascale Climate Science
- Chapter 8: Towards Distributed Petascale Computing
- Chapter 9: Biomolecular Modeling in the Era of Petascale Computing
- Chapter 10: Petascale Special-Purpose Computer for Molecular Dynamics Simulations
- Chapter 11: Simulating Biomolecules on the Petascale Supercomputers
- Chapter 12: Multithreaded Algorithms for Processing Massive Graphs
- Chapter 13: Disaster Survival Guide in Petascale Computing: An Algorithmic Approach
- Chapter 14: The Road to TSUBAME and Beyond
- Chapter 15: Petaflops Basics - Performance from SMP Building Blocks
- Chapter 16: Performance and its Complexity on Petascale Systems
- Chapter 17: Highly Scalable Performance Analysis Tools
- Chapter 18: Towards Petascale Multilevel Finite-Element Solvers
- Chapter 19: A Hybrid Approach to Efficient Finite-Element Code Development
- Chapter 20: Programming Petascale Applications with Charm++
- Chapter 21: Annotations for Productivity and Performance Portability
- Chapter 22: Locality Awareness in a High-Productivity Programming Language
- Chapter 23: Architectural and Programming Issues for Sustained Petaflop Performance
- Chapter 24: Cactus Framework: Black Holes to Gamma Ray Bursts
- Index