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From: izahi@portia.Stanford.EDU (Raul Izahi Lopez Hernandez)
Newsgroups: comp.parallel
Subject: Re: What sort of applications are worth parallelising?
Summary: Low level Image Processing
Message-ID: <8151@hubcap.clemson.edu>
Date: 26 Feb 90 00:38:11 GMT
Sender: fpst@hubcap.clemson.edu
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Approved: parallel@hubcap.clemson.edu

In article <8117@hubcap.clemson.edu> ken%aiai.edinburgh.ac.uk@NSFnet-Relay.AC.UK (Ken Johnson) writes:
>Until someone asked me the question, I had just been parallelising
>algorithms for the fun of it.  But: what sort of application is really
>worth all the effort of parallelising?
>
   Well, I can tell you that low level Real Time Image Processing offers
a lot of room for parallelizing. By Low Level I mean operations like
Automatic Contrast Enhancement,Low Pass, High Pass filtering on stored
images. The predictability and simplicity of his operations allows for
a nice array or group of processors to incorporate its power in SIMD
or Single Operation Multiple Step (SOMS) configurations.
   My Thesis deals with this aspects and I have been finding a lot
of nice surprises once you get to dig into algorithms and implementation.
The memory management has to be very smart though.
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Raul Izahi Lopez Hernandez	izahi@portia.stanford.edu
Graduate Student, EE Dept.	"Nun, ich war und ich bin noch Student,
Stanford University	   	 denn ein Student bleibt ewig Student!" -DG