This is Floating-point-performance in view mode; [Up]
Date: Sun 12-Jun-1989 18:21:54 From: Unknown Subject: Re: Floating point performance A member of the faculty ran some tests on the performance of the NeXT, with respect to floating point performance, scalar performance, and general "real world" problems. I have attatched the results below. But first: programs, loops7 and dqtest. Source for these can be obtained from me if necessary. However, the results may not indicate any belief held by my organization regarding relative performance of different systems, i.e., they are strictly private. Now that that is out of the way, as you can see, the cube is not all that bad regarding f.p. performance. However, limitations seem to be those inherent to the 68882, i.e., great transcendental, and exponential performance, but mediocre addition, subtraction, and multiplication. The results were obtained on 0.8. I do not expect any dramatic improvements in 0.9, since most of the coding was done at a pretty basic level. loops7 ---------------------------------------------------- Timing trials of basic arithmetic and math functions on various Unix based machines, Units are millions of operations per second. All calculations are scalar as opposed to vector (as is possible on the Convex.) The "group" times are, for each of the three groups, the number of operations in total divided by the the total time for all members of the group. The fastest for each trial are marked with an asterisk (the Dec3100 excepting two unexpected cases.) operation MacII A/UX NeXT Dec3100 Sun3-280 Sun3-280 Convex no fpa fpa C-120 double precision decrement 0.0704 0.4211 16.5517* 0.2453 1.0643 1.3370 addition 0.0686 0.7754 15.4839* 0.4163 2.5668 1.3408 multiplication 0.0628 0.4913 5.3333* 0.3288 2.2018 2.3762 division 0.0543 0.2970 1.0084* 0.2083 0.2709 0.2614 group 0.0659 0.4968 5.7992* 0.3031 1.2009 1.1321 double precision exp() 0.0140 0.0552 0.1579* 0.0095 0.0253 0.0578 sin() 0.0072 0.0732 0.1611* 0.0059 0.0176 0.0727 atan() 0.0132 0.0665 0.1290* 0.0056 0.0195 0.0565 sqrt() 0.0163 0.1356* 0.1116 0.0034 0.0040 0.0406 group 0.0115 0.0738 0.1367* 0.0053 0.0101 0.0545 integer increment 7.7922 12.3077 15.7895* 12.1212 12.1827 9.5238 addition 7.6238 12.2449* 8.1301 10.7143 11.9522 9.4192 multiplication 0.3070 0.5128 1.3475 5.8065* 2.7000 1.8832 mod 17 0.1523 0.2384 0.4619* 0.2512 0.2541 0.3138 one loop 1.4585 2.4107 4.0374* 2.3789 2.4215 2.3504 group 0.9830 1.6029 3.0783* 3.0088 2.8030 2.7368 dqtest----------------------------------------------------------- Timing trials of dqtest on various machines (times rounded to nearest second.) dqtest is a program (in C and fortran) that solves the 3-body problem with two of the bodies stationary. This involves 4 simultaneous differential equations. This is well representative of many applicationa in science. The four equations are solved using a standard routine. That routine is included in the code. It has not been written with vectorization in mind. Maximum optimization possible was used for each run. cpu time compiler processor clock options (secs) MHz Sun2-120 1325 fortran NS68010 ? -03 Vax-750 425 fortran Digital ? none Sun3-280 170 C NS68020 25 -03, -f68881 Mac A/UX 106 C NS68020 15.7 -03, -f68881 MicroVaxII 92 fortran Digital ? coprocessor Sun3-280 75 C NS68020 25 -03, -ffpa Sun3-280 66 fortran NS68020 25 -03, -ffpa NeXT 46 C NS68030 25 -0, -f68882 Vax-3200 31 fortran Digital ? coprocessor Convex-120 15 fortran Convex ? -01 (scalar) Convex-120 14 fortran Convex ? -02 (vector) Dec-3100 10 C MipS ? default My thanks to Dr. Ken Grant for doing all the above. Mahesh Subramanya Office of University Computing University of Notre Dame Notre Dame, IN 46556 mahesh@darwin.cc.nd.edu #include <.signature> >From: jasmerb@mist.CS.ORST.EDU (Bryce Jasmer)
Date: Sun 14-Jun-1989 01:15:01 From: Unknown Subject: Re: Floating point performance In article <1440@ndmath.UUCP> mahesh@ndmath.UUCP (Mahesh) writes: >operation MacII A/UX NeXT Dec3100 Sun3-280 Sun3-280 Convex > no fpa fpa C-120 > >double precision > decrement 0.0704 0.4211 16.5517* 0.2453 1.0643 1.3370 > addition 0.0686 0.7754 15.4839* 0.4163 2.5668 1.3408 >integer > increment 7.7922 12.3077 15.7895* 12.1212 12.1827 9.5238 > addition 7.6238 12.2449* 8.1301 10.7143 11.9522 9.4192 The discrepancies between decrement/increment and addition make me very suspicious of this benchmark.
These are the contents of the former NiCE NeXT User Group NeXTSTEP/OpenStep software archive, currently hosted by Marcel Waldvogel and Netfuture.ch.