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From: west@sdcsla.UUCP (Larry West)
Newsgroups: net.arch,net.ai,net.lang
Subject: Programming in Parallel and/or with Vectorization -- request
Message-ID: <861@sdcsla.UUCP>
Date: Sun, 19-May-85 02:56:39 EDT
Article-I.D.: sdcsla.861
Posted: Sun May 19 02:56:39 1985
Date-Received: Wed, 22-May-85 01:37:14 EDT
Reply-To: west@sdcsla.UUCP (Larry West)
Organization: UC San Diego: Institute for Cognitive Science
Lines: 31
Xref: watmath net.arch:1230 net.ai:2781 net.lang:1582

I would appreciate any pointers to documentation, instructional
material, or research on this somewhat vague collection of topics:

	1) How to program common languages (e.g.: C, Fortran, Lisp, APL)
	   to take advantage of parallelism and/or vectorization;
	 
	2) How to decompose problems [even in specific domains]
	   into parallel sub-problems;
    
	3) How can a single user best make use of the Cray X-MP?

	4) What well-known (old) or well-designed (new) language(s) are
	   best for parallel- and/or vector-programming?

	5) How to teach/present the above.

The pointers can be to bibliographies, to published papers (technical
or "popular"), to people, or to something you've just got sitting out
on disk.

Needless to say, please reply via electronic mail;  one of the addresses
below just might work.   If anything interesting shows up, I'll post
a summary to the net.

Thanks in advance...
-- 

Larry West			Institute for Cognitive Science
(USA+619-)452-6220		UC San Diego (mailcode C-015) [x6220]
ARPA: <west@nprdc.ARPA>		La Jolla, CA  92093  U.S.A.
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