WORKSTATION CLUSTERS: ONE WAY TO PARALLEL COMPUTING

1993 ◽  
Vol 04 (06) ◽  
pp. 1307-1314
Author(s):  
MICHAEL WEBER

The feasibility and constraints of workstation clusters for parallel processing are investigated. Measurements of latency and bandwidth are presented to fix the position of clusters in comparison to massively parallel systems. So it becomes possible to identify the kind of applications that seem to be suited for running on a cluster.

2004 ◽  
Vol 12 (2) ◽  
pp. 81-90 ◽  
Author(s):  
Heather M. Liddell ◽  
D. Parkinson ◽  
G.S. Hodgson ◽  
P. Dzwig

At Queen Mary, University of London, we have over twenty years of experience in Parallel Computing Applications, mostly on "massively parallel systems", such as the Distributed Array Processors (DAPs). The applications in which we were involved included design of numerical subroutine libraries, Finite Element software, graphics tools, the physics of organic materials, medical imaging, computer vision and more recently, Financial modelling. Two of the projects related to the latter are described in this paper, namely Portfolio Optimisation and Financial Risk Assessment.


1997 ◽  
Vol 23 (6) ◽  
pp. 721-731 ◽  
Author(s):  
Roman Trobec ◽  
Izidor Jerebic

Author(s):  
Hans-Joachim Bungartz ◽  
Harald Klimach ◽  
Verena Krupp ◽  
Florian Lindner ◽  
Miriam Mehl ◽  
...  

2017 ◽  
Vol 28 (7) ◽  
pp. 2031-2045 ◽  
Author(s):  
Venkatesan T. Chakaravarthy ◽  
Fabio Checconi ◽  
Prakash Murali ◽  
Fabrizio Petrini ◽  
Yogish Sabharwal

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