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What is High Performance Computing (HPC)

Chapter 12
Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare
HPC is a particular field in computer science that deals with performance optimization of single applications, usually by running parallel instances on high performance computing clusters or supercomputers.
Published in Chapter:
High-Throughput Data Analysis of Proteomic Mass Spectra on the SwissBioGrid
Andreas Quandt (Swiss Institute of Bioinformatics, Switzerland), Sergio Maffioletti (University of Lugano, Switzerland), Cesare Pautasso (Swiss Institute of Bioinformatics, Switzerland), Heinz Stockinger (Swiss Institute of Bioinformatics, Switzerland), and Frederique Lisacek (ETH Zurich, Switzerland)
Copyright: © 2009 |Pages: 17
DOI: 10.4018/978-1-60566-374-6.ch012
Abstract
Proteomics is currently one of the most promising fields in bioinformatics as it provides important insights into the protein function of organisms. Mass spectrometry is one of the techniques to study the proteome, and several software tools exist for this purpose. The authors provide an extendable software platform called swissPIT that combines different existing tools and exploits Grid infrastructures to speed up the data analysis process for the proteomics pipeline.
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Chapter 77
Ensuring QoS Over Wireless Channels for E-Learning
HPC refers to the use of parallelization techniques and platforms for accelerating an application.
Published in Chapter: Ensuring QoS Over Wireless Channels for E-Learning; From: Encyclopedia of Business Analytics and Optimization
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Chapter 159
Parallelization and Load Balancing Techniques for HPC
Use of parallelization techniques for achieving high performance.
Published in Chapter: Parallelization and Load Balancing Techniques for HPC; From: Encyclopedia of Business Analytics and Optimization
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Chapter 29
The LIBI Grid Platform for Bioinformatics
It uses supercomputers and computer clusters to solve advanced computing problems characterized by intensive computing requirements and consist of tightly-coupled tasks.
Published in Chapter: The LIBI Grid Platform for Bioinformatics; From: Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare
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Chapter 29
Grid Computing Initiatives in India
HPC refers to the use of supercomputers and computer clusters, that is, computing systems(in or above the teraflop-region) comprised of multiple processors linked together in a single system with commercially available interconnects
Published in Chapter: Grid Computing Initiatives in India; From: Handbook of Research on Grid Technologies and Utility Computing: Concepts for Managing Large-Scale Applications
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Chapter 13
Grids, Clouds, and Massive Simulations
Is a computing environment capable of delivering large processing capacity with low-latency large data storage in a form of a supercomputer, computer cluster, grid or cloud computing system. HPC also refers to a supercomputing environment in the teraflops (Trillion floating point operations per second) processing and the petabyte (1024 terabyte) storage range.
Published in Chapter: Grids, Clouds, and Massive Simulations; From: Handbook of Research on High Performance and Cloud Computing in Scientific Research and Education
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Chapter 10
High Performance Storage for Big Data Analytics and Visualization
High Performance Computing refers to the computing paradigm where multiple computer systems or nodes are connected together to provide larger memory, compute, networking and storage resources to applications.
Published in Chapter: High Performance Storage for Big Data Analytics and Visualization; From: Handbook of Research on Big Data Storage and Visualization Techniques
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