Article View: sci.math.num-analysis
Article #84432-bit vs 64-bit precision ?
From: Hock-Beng Lim
Date: Tue, 17 Nov 1992 11:51
Date: Tue, 17 Nov 1992 11:51
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1351 bytes
I have a question which I hope the numerical analysis gurus can help me out. I would like to find out what are the factors to consider when deciding whether to implement a numerical algorithm in 32-bit or 64-bit floating-point precision, apart from the obvious difference in their precision. For example, are there any numerical properties which might make an algorithm stable when implemented in 64-bit precision ? I heard that Monte Carlo techniques are more stable when implemented in 64-bit precision. Is that true ? What about some other such differences for other well-known algorithms ? The algorithms I am primarily interested in are the linear system solvers and the eigensolvers. HB -- --------------------------------------------------------------------- Hock-Beng Lim Center for Supercomputing R&D hblim@csrd.uiuc.edu Univ. of Illinois at Urbana-Champaign
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Newsgroups: sci.math.num-analysis Path: arc1-ca.pugleaf.net!sparky!uunet!europa.asd.contel.com!darwin.sura.net!zaphod.mps.ohio-state.edu!moe.ksu.ksu.edu!ux1.cso.uiuc.edu!csrd.uiuc.edu!news From: hblim@sp1.csrd.uiuc.edu (Hock-Beng Lim) Subject: 32-bit vs 64-bit precision ? Message-ID: <1992Nov17.115111.23520@csrd.uiuc.edu> Sender: news@csrd.uiuc.edu Organization: Univ of Illinois, Center for Supercomputing R&D, Urbana, IL Date: Tue, 17 Nov 92 11:51:11 GMT Lines: 19