Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Posting-Version: version B 2.10.2 9/18/84 SMI; site sun.uucp Path: utzoo!linus!philabs!prls!amdimage!amdcad!decwrl!sun!dgh From: dgh@sun.uucp (David Hough) Newsgroups: net.micro,net.micro.68k,net.micro.16k Subject: Re: Floating Point Comparisons Message-ID: <2126@sun.uucp> Date: Tue, 16-Apr-85 21:39:04 EST Article-I.D.: sun.2126 Posted: Tue Apr 16 21:39:04 1985 Date-Received: Sat, 20-Apr-85 05:50:42 EST References: <133@cfa.UUCP> <6370@boring.UUCP> <2574@nsc.UUCP> <227@osiris.UUCP> <930@cornell.UUCP> Reply-To: dgh@sun.UUCP (David Hough) Distribution: net Organization: Sun Microsystems, Inc. Lines: 13 Xref: linus net.micro:8739 net.micro.68k:657 net.micro.16k:290 Summary: In article <930@cornell.UUCP> solworth@gvax.UUCP (Jon Solworth) writes: > > The NS16XXX times for longer addition time than multiplication are >not unreasonable from the scientific programmer point of view. Multiplies >vastly outnumber adds in scientific code. > Really? Are there any published papers with this result? I was under the impression that linear algebra algorithms typically take essentially equal numbers of floating point additions and multiplications, with comparatively few other floating point operations. Most scientific computation gets reduced to linear algebra sooner or later. David Hough