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Quick Django Benching
"Before beginning these tests I assumed that since Lighttpd and Nginx were so fast otherwise they'd perform best. As you can see, deploying Django under mod_python is fast. It's no wonder it's the recommended method for deployment."
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Before beginning these tests I assumed that since Lighttpd and Nginx were so fast otherwise they'd perform best. As you can see, deploying Django under mod_python is fast. It's no wonder it's the recommended method for deployment.
Slicehost vs Linode
"I discovered something annoying about Slicehost: they use x86_64 servers, which, per se, doesn't really matter to me - I use open source code that can run on any number of architectures. The problem is that this particular architecture uses more memory than plain old x86. Significantly more."
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I discovered something annoying about Slicehost: they use x86_64 servers, which, per se, doesn't really matter to me - I use open source code that can run on any number of architectures. The problem is that this particular architecture uses more memory than plain old x86. Significantly more.
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I don't really know what sort of response times, uptime, and all that either Slicehost or Linode have, so there are potentially some big intangibles there that are not quite as easy to draw pretty charts for.
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LLVM-GCC benchmarks
20% to 30% reductions in execution time when doing number crunching.
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Running the same calculation compiled from LLVM-GCC gave a mean execution time of 38 seconds with the same SD - thats a saving of 30% in this example.
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The code i was running for this test is typical scientific number crunching with 64bit ints, so this is obviously a very useful advantage and time saver on a calculation that would take longer to run.
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Performance comparison of FreeBSD 7.0 to FreeBSD 4.11 and Dragonfly BSD 1.12
"the dragonfly 1.12 kernel does not scale to a second CPU on the benchmarks performed.... In all cases measured, FreeBSD 7.0 performs significantly better than both FreeBSD 4.11 and dragonfly 1.12 in both SMP and UP configurations."
numerical computing: matlab vs python+numpy+weave « lorenzo bolla’s blog
Python faster than matlab: "I’ve discovered the power of python for numerical computing. being a slave of matlab for many years, I’ve decided to give python (and it’s numerical module numpy) a try, comparing its numerical crounching capabilities"
Web server performance shoot out - simple pages
"for static content, lighttpd is the clear winner, and for dynamic content, it is almost a draw between the 2 of the 4 - IMHO - coolest functional languages right now (the other two being F# and Scala), with a slight advantage to the Haskell framework"
The Great Ruby Shootout
"Ruby 1.9 confirms itself as a fast implementation, about three times the speed of 1.8.6 which is going to replace it in 3 weeks. Ruby 1.9 (Yarv) is still the fastest of the lot in most tests, but others are clearly catching up."
S3 performance from EC2 instances « Amazon Web Services Blog
Some simple benchmarks on S3 read/write performance. Bottom-line: it's comparable to a local disk
Debian Administration :: Filesystems (ext3, reiser, xfs, jfs) comparison on Debian Etch
Based on all testing done for this benchmark essay, XFS appears to be the most appropriate filesystem to install on a file server for home or small-business needs
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Data/Benchmark Assessment
Items: 7 | Visits: 41
Created by: Anne Bubnic
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benchmark new
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Created by: di di
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