Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!zaphod.mps.ohio-state.edu!samsung!munnari.oz.au!yoyo.aarnet.edu.au!sirius.ucs.adelaide.edu.au!spam!ross From: ross@spam.ua.oz.au (Ross Williams) Newsgroups: comp.compression Subject: Graph of performance of data compression programs. Summary: Graph of performance of data compression programs. Keywords: graph data compression performance speed compresssion mac pc 68000 386 Message-ID: <867@spam.ua.oz> Date: 21 Jun 91 14:33:48 GMT Sender: news@spam.ua.oz Followup-To: comp.compression Organization: Statistics, Pure & Applied Mathematics, University of Adelaide Lines: 59 DATA COMPRESSION STATE OF THE ART GRAPH 21-JUN-1991 =================================================== I used the information posted by Peter Gutmann (peter_gutmann@kcbbs.gen.nz) to hand plot this performance graph of compression algorithms. The graph is only rough but gives a good idea of what is going on out there. The capital letter of each compression algorithm is its position on the graph. I didn't plot algorithms with no listed speed (except for SAKDC which gives the best compression). 0 4 8 16 32 64 128 256 +---------+---------+---------+---------+---------+---------+---------+ |BAD | 5 + + 5 | Comp-1 Pack | | Lzrw1 | | | | | 4 + Comp-1a + 4 | Brent Stuffit1 Zoo2 Compress DwcPkarc | Bits/|Comp-2(1) Disdoub Pak1.00**********************| Byte | *****......................| | Stuffitcl Lharc1.13c.........................| 3 + rj1 Pak2 Pkzip1.10.....................+ 3 | CoApactor Lharc2.11...........................| | ************Arj2...............................| |Sakdc*****************...............................................| |.................................................................GOOD| 2 +---------+---------+---------+---------+---------+---------+---------+ 0 4 8 16 32 64 128 256 Compression Speed in Kilo (1024) Bytes Per Second ****** = State of the art. The dotted zone is where we want to go. This graph is probably misleading because some of the programs were run on a Mac-SE and some on a PC386/25. I am involved in designing high-performance algorithms but am finding it difficult to work out what the state of the art is. Some algorithms are written in C, some in machine code. Algorithms are run on PCs, Macs, Suns, and other machines. It would be nice to standardize somehow. I'm starting to think that the solution to my problem is to buy a PC. This is an alien concept as I am used to thinking of PCs in terms of problems not solutions :-). Has anyone out there got any sort of objective speed comparison information for the Macintosh and PC range? I have a Mac-SE20. Maybe we can replot the graph using some abstract CPU power measure. Ross Williams ross@spam.ua.oz.au PS: The graph seems to indicate that LZRW1 is a turkey, losing out to PKARC. I have received other indications that LZW algorithms can beat LZRW1 on speed and compression but I can never be sure because of the difficulty in comparing speeds. Even if it is beaten, there may be a niche for LZRW1 because of its simplicity, its lack of patent problems, and its low memory requirement (16K).