Path: utzoo!utgpu!water!watmath!clyde!att!osu-cis!tut.cis.ohio-state.edu!mailrus!cornell!uw-beaver!uw-june!pardo From: pardo@june.cs.washington.edu (David Keppel) Newsgroups: comp.arch Subject: Re: Benchmarking Message-ID: <6005@june.cs.washington.edu> Date: 9 Oct 88 19:07:32 GMT References: <2220003@hpausla.HP.COM> <46500026@uxe.cso.uiuc.edu> <1988Oct9.011633.13259@utzoo.uucp> <6001@june.cs.washington.edu> Reply-To: pardo@cs.washington.edu (David Keppel) Organization: U of Washington, Computer Science, Seattle Lines: 23 rik@june.cs.washington.edu (Rik Littlefield) writes: >[ large "real" program benchmarks vs. synthetic benchmarks ] Oh, gee, an opportunity to apply the scientific method :-) (a) Benchmark a bunch of computer systems (hardware/os/compiler) using synthetic benchmarks. (b) Compare the benchmark performance to observations in the "real" world. (c) Learn something about benchmarks, refine your synthetic benchmarks. (d) go to (a) (Oh no, not a GOTO!) People like Kahan bitched to other computer scientists about floating point inconsistancy. Now people formally study floating point numbers as a subject. Performance modelling is a formal area, but I don't know anybody studying "benchmarks" as a formal subject. When people do, benchmarks may get much better. ;-D on ( We're in the dark about benchmurking ) Pardo -- pardo@cs.washington.edu {rutgers,cornell,ucsd,ubc-cs,tektronix}!uw-beaver!june!pardo