Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!sdd.hp.com!zaphod.mps.ohio-state.edu!maverick.ksu.ksu.edu!ux1.cso.uiuc.edu!iuvax!noose.ecn.purdue.edu!mentor.cc.purdue.edu!l.cc.purdue.edu!cik From: cik@l.cc.purdue.edu (Herman Rubin) Newsgroups: comp.arch Subject: Re: Killer Micro II Summary: Most mathematical calculations need little data Message-ID: <2482@l.cc.purdue.edu> Date: 28 Aug 90 00:53:00 GMT References: <527@llnl.LLNL.GOV> <603@array.UUCP> Organization: Purdue University Statistics Department Lines: 20 In article <603@array.UUCP>, colin@array.UUCP (Colin Plumb) writes: > Maybe it's a new chip, but BIT announced 100 MFLOPS chips early > this year. I heard about separate FP add and multiply units, with 192 > bits (128 read, 64 write, from their point of view) of 100 MHz bus > each. 2 cycle (20 ns) latency, so they do 50 MFLOPS flow-through. > Now if you can just supply the 2.4 GBytes/second of data these babies > need... It's still not going to be cheap. Or easy to cool (28 watts > out of one chip I can almost read by). But it's going to kill multi-board > ALUs. There are plenty of mathematical calculations which need lots of computing, but use little data. I doubt if these vaunted machines will be much good at a three-dimensional numerical integral, for example. And how good is their integer arithmetic? If accurate calculation is needed, and this is not all that unusual, floating point is essentially useless. -- Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907 Phone: (317)494-6054 hrubin@l.cc.purdue.edu (Internet, bitnet) {purdue,pur-ee}!l.cc!cik(UUCP)