Path: utzoo!utgpu!news-server.csri.toronto.edu!bonnie.concordia.ca!uunet!zephyr.ens.tek.com!tektronix!reed!intelhf!ichips!iWarp.intel.com!inews!news From: news@inews.intel.com (news accounting id) Newsgroups: comp.arch Subject: Re: IEEE floating point Keywords: Various contributors have discussed the pros and cons of IEEE FP Message-ID: <4451@inews.intel.com> Date: 28 May 91 21:37:47 GMT References: <9105250030.AA08036@ucbvax.Berkeley.EDU> <5397@network.ucsd.edu> <3421@crdos1.crd.ge.COM> Reply-To: mfineman@cadev6.UUCP (Mark Fineman ~) Organization: Intel Corporation, Santa Clara, CA Lines: 24 > >In article <3421@crdos1.crd.ge.COM> davidsen@crdos1.crd.ge.COM (Wm E Davidsen Jr) writes: > >> Take a course in numerical analysis. A small reduction in accuracy can > >I second the motion. Ideally the course will expose you to case >studies where you will see bad algorithms, bad implementations of good >algorithms, ill-condition systems, and bad computer arithmetic (among >other things) the really interesting lesson is that you often can't >tell one failure from another from the symptoms. What you should do is use interval arithmetic. It uses twice the memory and less than 3 times the time*gates. By using interval arithmetic you at least know when something is messed up. In fact, used typed data and you'll know if your algorithms make sense. From: mfineman@cadev6.intel.com (Mark Fineman ~) Path: cadev6!mfineman (408) 765-4277; MS SC3-36, 3065 Bowers Ave, Santa Clara, CA 95052 / decwrl \ | hplabs | -| oliveb |- !intelca!mipos3!cadev6!mfineman | amd | \ qantel /