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From: wangjw@usceast.cs.scarolina.edu (Jingwen Wang)
Newsgroups: comp.parallel
Subject: Critical Issues in Distributed-Memory Multicomputing.
Message-ID: <12027@hubcap.clemson.edu>
Date: 3 Dec 90 14:22:32 GMT
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   The Distributed-Memory Multi-Computers have now been facilitated in 
many research institutions and Universities. The most exciting time of
such architectures ( I guess is from 1984-1988 ) seems to have come
to an end. The exploratory stage of such architectures is in fact
completed. Many scientists engaged in such architectures earlier have
now switched to other directions (such as those in the Caltech). The
hypercube computers now seem far from being matual for widespread
engineering usage. The software is always a vital problem for any
parallel computers, and is particularly a problem for multicomputers.
  There seems still much to be done in this area. And many researchers
are numerical scientists who develop parallel algorithms for such
machines. The software problem and programming are given less attention
to. 
  What in hell are the most critical issues in these area? What are the
undergoing topics to cope with these issues? I am not so sure about
these. We seem to be in an endless loop designing endless algorithms
for an endless variaty of applications. When could usual engineer
(not computer engineer) can use such machine with ease? 
  Shall I suggest that interested experts contribute their ideas to 
us. Of course, we don't expect anyone bring with a complete answer
to all problems. Any comments are welcome!

Jingwen Wang


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