All,
I posted the new stability and runtime performance benchmarks at:
http://code.google.com/p/java-matrix-benchmark
This includes the 2.1a SVN code from last Friday. I don't really see much
of a change since 2.0. If a commons-math developer has some time it would
be helpful if he/she/it
Peter A a écrit :
All,
I posted the new stability and runtime performance benchmarks at:
http://code.google.com/p/java-matrix-benchmark
This includes the 2.1a SVN code from last Friday. I don't really see much
of a change since 2.0.
From a pure performance point, there should not be
Luc,
Do you think this would be fair? For posting official benchmark results
using MatrixUtils.createRealMatrix() to declare the matrices. I'm not a
huge fan of having multiple results for a single library if it can be
avoided. I'm worried about needing to benchmark every permutation that each
Peter A a écrit :
Luc,
Do you think this would be fair? For posting official benchmark results
using MatrixUtils.createRealMatrix() to declare the matrices.
I think this could be a good approach. This way official benchmak would
reflect what users would really experience. If the simplistic
Peter A a écrit :
Hello,
I'm working on a benchmark tool for linear algebra libraries in Java that
measures runtime performance and stability. I have run the 2.0 library
thought it and posted the results online at:
http://code.google.com/p/java-matrix-benchmark/
I think that the
Already the performance is impressive. Kudos!
On Fri, Jan 29, 2010 at 12:52 PM, Luc Maisonobe luc.maison...@free.frwrote:
I think that the developers of this library might find those results
interesting. In addition, feedback on the benchmark itself and how I'm
evaluating commons math
Hi,
Great job!
BTW, I am just curious if there is any performance comparison between
Java math lib and C/C++ math lib? After so many years, people are
still suspicious about Java's performance, particularly in the
numerical computing area.
Cheers,
Weijian
On 29 January 2010 20:58, Ted
Thanks.
I have seen some adhoc comparisons on-line. Mostly just matrix multiply.
Having said that I wouldn't be surprised if I missed something. Based
on personal experience I would expect about a 2-3 times speed hit
between well written java and c/c++ code because of array overhead and
This comparison is also confounded by the fact that most C++ libraries try
to make use of native binary libraries such as ATLAS and often get a
dramatic speedup as a result.
On Fri, Jan 29, 2010 at 4:55 PM, Peter Abeles peter.abe...@gmail.comwrote:
I have seen some adhoc comparisons on-line.
