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Supercomputing has proven to be a boon to researchers across the
broad spectrum of scientific endeavor, drastically reducing
computational time and greatly expanding the envelope of what is
possible in the field of simulation. In the last couple of months,
we have looked at many issues related, one way or another, to the
growing pervasiveness of these monstrous calculating machines.
But what is a small research community, such as a single college
or university, if it just doesn't have the funds to cough up
for a multi-million-dollar supercomputer? One possible solution
to this problem, the clustering of workstations, is gaining a lot
of attention, both from academic and industrial sources. In this
article, we'll look at some of the general ideas involved in such
a scheme and discuss why this might be a viable idea.
So, now we have these workstations sitting around that can be connected to each other, but why would we want to do such a thing rather than just using a supercomputer? Well, first of all is the issue of cost, alluded to earlier. A cluster of PC's is going to be a whole lot less expensive than one large machine with the same number of processors. Another advantage for groups with existing machines is that they can squeeze every last bit of computing power out of their resources. At most colleges and universities, there are clusters of PCs in computer labs at different locations around campus. While Go To Page: 1 2
The copyright of the article Clustered Workstations : Block-by-Block Supercomputers in Scientific Computing is owned by . Permission to republish Clustered Workstations : Block-by-Block Supercomputers in print or online must be granted by the author in writing.
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