NO. Building a Low-Cost Supercomputer. Dr. Tim McGuire Sam Houston State University ACET 2000 Austin, TX. Acknowledgments. Most treatments of cluster computing (including this one) are heavily based on the seminal work of Greg Pfister (IBM Research, Austin,) In Search of Clusters
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Get a faster processor
Use a better algorithm
pipelining, vector processing, etc.
really equivalent to faster hardware
Done via software
"that dog won\'t hunt" … no matter how many heads it has.
“ … There is therefore nothing new in the basic idea of parallel programming, but only its application to computers. The author cannot believe that there will be any insuperable difficulty in extending it to computers. It is not to be expected that the necessary programming techniques will be worked out overnight. Much experimenting remains to be done. After all, the techniques that are commonly used in programming today were only won at the cost of considerable toil several years ago. In fact the advent of parallel programming may do something to revive the pioneering spirit in programming which seems at the present to be degenerating into a rather dull and routine occupation.”
Gill, S. (1958), “Parallel Programming,” The Computer Journal (British) Vol. 1, pp. 2-10.