Taming complexity in high-performance computing
Today’s high-performance computing environments, and the applications that must exploit them, have become much more complex than ever. We now build ensembles of large, shared-memory parallel computers, linked together with high-speed networks, in an attempt to achieve previously unheard-of speeds and still retain a ‘general-purpose’ capability for running diverse applications.
Year of publication: |
2000
|
---|---|
Authors: | Oldehoeft, Rod |
Published in: |
Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 54.2000, 4, p. 341-357
|
Publisher: |
Elsevier |
Subject: | High-performance computing | Object-orientated frameworks | Run-time systems | Scientific visualization | Software component architecture | Linux clusters |
Saved in:
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