High Speed and Large Scale Scientific Computing ( Advances in Parallel Computing )

Publication series : Advances in Parallel Computing

Author: Gentzsch W.;Grandinetti L.;Joubert G.R.  

Publisher: Ios Press‎

Publication year: 2010

E-ISBN: 9781607505167

P-ISBN(Paperback): 9781607500735

Subject: TP301.6 algorithm theory

Keyword: 计算技术、计算机技术

Language: ENG

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Description

During the last decade parallel technologies have completely transformed main stream computing. The majority of standard PC ́s today incorporate multi-processor chips, with up to four processors. This number will reach eight and more processors soon. The flexibility that parallel systems constructed with commodity components offer, make them easy to link through wide area networks, such as the Internet, to realize Grids or Clouds. The immediate benefit of these networks is that they can be accessed by a wide community of users, from many different disciplines, to solve compute intensive or data intensive problems requiring high speed computing resources. High Speed and Large Scale Scientific Computing touches upon issues related to the new area of Cloud computing, discusses developments in Grids, Applications and Information Processing, as well as e-Science. The book includes contributions from internationally renowned experts in these advanced technologies. The papers collected in this volume would be of interest to computer scientists, IT engineers and IT managers interested in the future development of Grids, Clouds and Large Scale Computing.

Chapter

Chapter 2. Architectures

High Performance Computing with FPGAs

Nondeterministic Coordination Using S-Net

HPC Interconnection Networks: The Key to Exascale Computing

Chapter 3. GRID Technologies

Using Peer-to-Peer Dynamic Querying in Grid Information Services

Emulation Platform for High Accuracy Failure Injection in Grids

DEISA, the Distributed European Infrastructure for Supercomputing Applications

UNICORE 6 – A European Grid Technology

Chapter 4. Cloud Technologies

Cloud Computing for on-Demand Grid Resource Provisioning

Clouds: An Opportunity for Scientific Applications?

Cloud Computing: A Viable Option for Enterprise HPC?

Evidence for a Cost Effective Cloud Computing Implementation Based Upon the NC State Virtual Computing Laboratory Model

Facing Services in Computational Clouds

Aneka: A Software Platform for .NET Based Cloud Computing

Chapter 5. Information Processing and Applications

Building Collaborative Applications for System-Level Science

Parallel Data Mining from Multicore to Cloudy Grids

Processing of Large-Scale Biomedical Images on a Cluster of Multicore CPUs and GPUs

System Level Accelerator with Blue Gene: A Heterogeneous Computing Model for Grand Challenge Problems

Grid Computing for Financial Applications

Chapter 6. HPC and GRID Infrastructures for e-Science

An Active Data Model

The Evolution of Research and Education Networks and Their Essential Role in Modern Science

The European Grid Initiative and the HPC Ecosystem

Grid and e-Science in Korea

Subject Index

Author Index

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