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UNIX Standards and Benchmarks UNIX & LINUX Benchmarks (Version 3.11) Linux Benchmarks Dual Xeon 2.6, RedHat EL 4 ES, up to latest release version. 2.6.9 kernel Post 77999 by jtnumberfive on Thursday 14th of July 2005 11:38:27 AM
Old 07-14-2005
Stats for Dell Optiplex gx 260 w/768mb ram

Can someone help me intrepret these results? I have another computer that I have been comparing them with that is significantly slower- p2 400 mhz with 160 mb ram- having trouble determining which is better

Dell optiplex with 768mb ram and fedore core 3 linux kernel 2.6.9
==============================================================

BYTE UNIX Benchmarks (Version 3.11)
System -- Linux localhost.localdomain 2.6.9-1.667 #1 Tue Nov 2 14:41:25 EST 2004 i686 i686 i386 GNU/Linux
Start Benchmark Run: Wed Jul 13 12:03:57 EDT 2005
2 interactive users.
Dhrystone 2 without register variables 2356132.2 lps (10 secs, 6 samples)
Dhrystone 2 using register variables 2358459.0 lps (10 secs, 6 samples)
Arithmetic Test (type = arithoh) 9722882.7 lps (10 secs, 6 samples)
Arithmetic Test (type = register) 422014.3 lps (10 secs, 6 samples)
Arithmetic Test (type = short) 288425.6 lps (10 secs, 6 samples)
Arithmetic Test (type = int) 421457.8 lps (10 secs, 6 samples)
Arithmetic Test (type = long) 422002.0 lps (10 secs, 6 samples)
Arithmetic Test (type = float) 403771.4 lps (10 secs, 6 samples)
Arithmetic Test (type = double) 403809.9 lps (10 secs, 6 samples)
System Call Overhead Test 149859.3 lps (10 secs, 6 samples)
Pipe Throughput Test 146581.4 lps (10 secs, 6 samples)
Pipe-based Context Switching Test 58462.0 lps (10 secs, 6 samples)
Process Creation Test 5640.6 lps (10 secs, 6 samples)
Execl Throughput Test 1053.7 lps (9 secs, 6 samples)
File Read (10 seconds) 392971.0 KBps (10 secs, 6 samples)
File Write (10 seconds) 148672.0 KBps (10 secs, 6 samples)
File Copy (10 seconds) 49185.0 KBps (10 secs, 6 samples)
File Read (30 seconds) 390357.0 KBps (30 secs, 6 samples)
File Write (30 seconds) 147334.0 KBps (30 secs, 6 samples)
File Copy (30 seconds) 35777.0 KBps (30 secs, 6 samples)
C Compiler Test 500.9 lpm (60 secs, 3 samples)
Shell scripts (1 concurrent) 1409.5 lpm (60 secs, 3 samples)
Shell scripts (2 concurrent) 794.7 lpm (60 secs, 3 samples)
Shell scripts (4 concurrent) 388.3 lpm (60 secs, 3 samples)
Shell scripts (8 concurrent) 200.7 lpm (60 secs, 3 samples)
Dc: sqrt(2) to 99 decimal places 42456.9 lpm (60 secs, 6 samples)
Recursion Test--Tower of Hanoi 38365.9 lps (10 secs, 6 samples)


INDEX VALUES
TEST BASELINE RESULT INDEX

Arithmetic Test (type = double) 2541.7 403809.9 158.9
Dhrystone 2 without register variables 22366.3 2356132.2 105.3
Execl Throughput Test 16.5 1053.7 63.9
File Copy (30 seconds) 179.0 35777.0 199.9
Pipe-based Context Switching Test 1318.5 58462.0 44.3
Shell scripts (8 concurrent) 4.0 200.7 50.2
=========
SUM of 6 items 622.5
AVERAGE 103.7
You have new mail in /var/spool/mail/root
[root@localhost bm]#
 

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bup-margin(1)						      General Commands Manual						     bup-margin(1)

NAME
bup-margin - figure out your deduplication safety margin SYNOPSIS
bup margin [options...] DESCRIPTION
bup margin iterates through all objects in your bup repository, calculating the largest number of prefix bits shared between any two entries. This number, n, identifies the longest subset of SHA-1 you could use and still encounter a collision between your object ids. For example, one system that was tested had a collection of 11 million objects (70 GB), and bup margin returned 45. That means a 46-bit hash would be sufficient to avoid all collisions among that set of objects; each object in that repository could be uniquely identified by its first 46 bits. The number of bits needed seems to increase by about 1 or 2 for every doubling of the number of objects. Since SHA-1 hashes have 160 bits, that leaves 115 bits of margin. Of course, because SHA-1 hashes are essentially random, it's theoretically possible to use many more bits with far fewer objects. If you're paranoid about the possibility of SHA-1 collisions, you can monitor your repository by running bup margin occasionally to see if you're getting dangerously close to 160 bits. OPTIONS
--predict Guess the offset into each index file where a particular object will appear, and report the maximum deviation of the correct answer from the guess. This is potentially useful for tuning an interpolation search algorithm. --ignore-midx don't use .midx files, use only .idx files. This is only really useful when used with --predict. EXAMPLE
$ bup margin Reading indexes: 100.00% (1612581/1612581), done. 40 40 matching prefix bits 1.94 bits per doubling 120 bits (61.86 doublings) remaining 4.19338e+18 times larger is possible Everyone on earth could have 625878182 data sets like yours, all in one repository, and we would expect 1 object collision. $ bup margin --predict PackIdxList: using 1 index. Reading indexes: 100.00% (1612581/1612581), done. 915 of 1612581 (0.057%) SEE ALSO
bup-midx(1), bup-save(1) BUP
Part of the bup(1) suite. AUTHORS
Avery Pennarun <apenwarr@gmail.com>. Bup unknown- bup-margin(1)
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