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What is High Performance Computing

Chapter 21
Handbook of Research on Computational Science and Engineering: Theory and Practice
The use of parallel processing for running advanced application programs efficiently, reliably and quickly on leadership class computer systems
Published in Chapter:
Integrating Data Management and Collaborative Sharing with Computational Science Research Processes
Kerstin Kleese van Dam (Pacific Northwest National Laboratory, USA), Mark James (University of California San Diego, USA), and Andrew M. Walker (University of Bristol, UK)
Copyright: © 2012 |Pages: 33
DOI: 10.4018/978-1-61350-116-0.ch021
Abstract
This chapter describes the key principles and components of a good data management system, provides real world examples of how these can be successfully integrated with scientific research processes and enable successful data sharing, provides an outlook on future developments, and discusses lessons learned. We conclude with a short section on how to get started for those whose interest has been piqued.
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Chapter 9
High Performance and Grid Computing Developments and Applications in Condensed Matter Physics
Is use of large-scale computer clusters and supercomputers for numerical simulations that require significant computer resources for execution. Typically, this involves massively parallel numerical simulations, running on thousands of processors, and large amounts of memory available in a shared fashion (typical for mainframe supercomputers) or distributed among the computing nodes (typical for computer clusters).
Published in Chapter: High Performance and Grid Computing Developments and Applications in Condensed Matter Physics; From: Handbook of Research on High Performance and Cloud Computing in Scientific Research and Education
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Chapter 8
Developing Software for a Scientific Community: Some Challenges and Solutions
This term is normally taken to describe computing systems with the substantial processing power needed to (for example) run complex scientific simulations.
Published in Chapter: Developing Software for a Scientific Community: Some Challenges and Solutions; From: Handbook of Research on Computational Science and Engineering: Theory and Practice
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Chapter 92
Cyberinfrastructure, Cloud Computing, Science Gateways, Visualization, and Cyberinfrastructure Ease of Use
Many tightly integrated computer processors that run very large scale computations and data analyses quickly where communication among the many processors is required.
Published in Chapter: Cyberinfrastructure, Cloud Computing, Science Gateways, Visualization, and Cyberinfrastructure Ease of Use; From: Encyclopedia of Information Science and Technology, Fourth Edition
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Chapter 10
The Future of Supercomputers and High-Performance Computing
A set of technologies in computer sciences that delivers much higher performance than one could get out of a typical computer in order to solve large problems in science, engineering, or business.
Published in Chapter: The Future of Supercomputers and High-Performance Computing; From: Handbook of Research on Interactive Information Quality in Expanding Social Network Communications
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Chapter 9
High Performance Computing, Big Data, and Cloud Computing: The Perfect De Facto Trio or Converging Technological Mantras?
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Chapter 14
Energy Management in Cloud Computing
High-performance computing (HPC) is the use of super computers and parallel processing techniques for solving complex computational problems.
Published in Chapter: Energy Management in Cloud Computing; From: Handbook of Research on Emerging Technologies for Electrical Power Planning, Analysis, and Optimization
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Chapter 5
Effective Open-Source Performance Analysis Tools
Usage of massively parallel computers and Linux clusters to accelerate scientific computing.
Published in Chapter: Effective Open-Source Performance Analysis Tools; From: Handbook of Research on Computational Science and Engineering: Theory and Practice
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