SCTP, XTP and TCP as Transport Protocols for High Performance Computing on Multi-cluster Grid Environments

2010 ◽  
pp. 230-240
Author(s):  
Diogo R. Viegas ◽  
R. P. Mendonça ◽  
Mario A. R. Dantas ◽  
Michael A. Bauer
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Transport Protocols ◽  
Grid Environments ◽  
Performance Computing

High Performance Computing in Biomedicine

2010 ◽  
pp. 106-118
Author(s):  
Dimosthenis Kyriazis ◽  
Andreas Menychtas ◽  
Konstantinos Tserpes ◽  
Theodoros Athanaileas ◽  
Theodora Varvarigou
Keyword(s):  
Distributed Computing ◽  
High Performance Computing ◽  
High Performance ◽  
Cost Effective ◽  
Added Value ◽  
Specific Domain ◽  
Grid Environments ◽  
Performance Computing ◽  
Scientific Fields

A constantly increasing number of applications from various scientific fields are finding their way towards adopting Grid technologies in order to take advantage of their capabilities: the advent of Grid environments made feasible the solution of computational intensive problems in a reliable and cost-effective way. This book chapter focuses on presenting and describing how high performance computing in general and specifically Grids can be applied in biomedicine. The latter poses a number of requirements, both computational and sharing / networking ones. In this context, we will describe in detail how Grid environments can fulfill the aforementioned requirements. Furthermore, this book chapter includes a set of cases and scenarios of biomedical applications in Grids, in order to highlight the added-value of the distributed computing in the specific domain.

A Two-Layered Model for Distributed Data Mining in Grid Environments

2011 ◽  
Vol 268-270 ◽  
pp. 1000-1000
Keyword(s):  
Data Mining ◽  
Social Network ◽  
High Performance Computing ◽  
High Performance ◽  
Distributed Data Mining ◽  
Distributed Data ◽  
Ieee Computer Society ◽  
Grid Environments ◽  
Network Approaches ◽  
Performance Computing

Removed due to plagiarism.The original paper was published as: S. Saberi, P. Trunfio, D. Talia, M. Fesharaki, K. Badie, "Using Social Network and Semantic Overlay Network Approaches to Share Knowledge in Distributed Data Mining Scenarios". Proc. of the 8th Int. Conference on High Performance Computing and Simulation (HPCS 2010), Caen, France, pp. 536-544, IEEE Computer Society Press, June 2010. ISBN 978-1-4244-6827-0. DOI: 10.1109/HPCS.2010.5547080

The Recent Revolution in High Performance Computing

MRS Bulletin ◽  
1997 ◽  
Vol 22 (10) ◽  
pp. 5-6
Author(s):  
Horst D. Simon
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
New Technologies ◽  
New Technology ◽  
Parallel Architecture ◽  
Time Frame ◽  
Good News ◽  
Computing Industry ◽  
Time And Energy ◽  
Performance Computing

Recent events in the high-performance computing industry have concerned scientists and the general public regarding a crisis or a lack of leadership in the field. That concern is understandable considering the industry's history from 1993 to 1996. Cray Research, the historic leader in supercomputing technology, was unable to survive financially as an independent company and was acquired by Silicon Graphics. Two ambitious new companies that introduced new technologies in the late 1980s and early 1990s—Thinking Machines and Kendall Square Research—were commercial failures and went out of business. And Intel, which introduced its Paragon supercomputer in 1994, discontinued production only two years later.During the same time frame, scientists who had finished the laborious task of writing scientific codes to run on vector parallel supercomputers learned that those codes would have to be rewritten if they were to run on the next-generation, highly parallel architecture. Scientists who are not yet involved in high-performance computing are understandably hesitant about committing their time and energy to such an apparently unstable enterprise.However, beneath the commercial chaos of the last several years, a technological revolution has been occurring. The good news is that the revolution is over, leading to five to ten years of predictable stability, steady improvements in system performance, and increased productivity for scientific applications. It is time for scientists who were sitting on the fence to jump in and reap the benefits of the new technology.

Construction of high performance computing system for fusion research using cluster technology

2009 ◽  
Vol 29 (8) ◽  
pp. 2132-2135
Author(s):  
Wei PAN ◽  
Liao-yuan CHEN ◽  
Yong-ge LI ◽  
Jin-hua ZHANG ◽  
Li PAN ◽  
...  
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Computing System ◽  
Fusion Research ◽  
High Performance Computing System ◽  
Performance Computing ◽  
Cluster Technology

High Performance Computing Support for Advanced Radar Technology Research Consortium

2001 ◽  
Author(s):  
Donald J. Fabozzi ◽  
Barney II ◽  
Fugler Blaise ◽  
Koligman Joe ◽  
Jackett Mike ◽  
...  
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Technology Research ◽  
Research Consortium ◽  
Computing Support ◽  
Performance Computing
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