scholarly journals Evaluation of the Efficiency of an ARM-based Beowulf Cluster versus Traditional Desktop Computing for High Performance Computing

2017 ◽  
Author(s):  
Nicholas Addiego
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Beowulf Cluster ◽  
Desktop Computing ◽  
Performance Computing

High performance computing on graphics processing units

2008 ◽  
Vol 3 (2) ◽  
pp. 27-34 ◽  
Author(s):  
Balázs Tukora ◽  
Tibor Szalay
Keyword(s):  
High Performance Computing ◽  
Graphics Processing Units ◽  
High Performance ◽  
Graphics Processing ◽  
Performance Computing

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

A Comparison of the Performance of Two Popular Symmetric Multiprocessors When Used to Run High Performance Computing Applications

2002 ◽  
Author(s):  
Daniel M. Pressel ◽  
Stephen Schraml ◽  
Steven Thompson ◽  
Dixie Hisley ◽  
Punyam Satya-narayana
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Symmetric Multiprocessors ◽  
Performance Computing

Rapidly Reconfigurable High Performance Computing Cluster

2005 ◽  
Author(s):  
Mark A. Richards ◽  
Daniel P. Campbell
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
High Performance Computing Cluster ◽  
Performance Computing ◽  
Computing Cluster
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