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SciMark 2.0 was developed by Roldan Pozo, and Bruce Miller at the National Institute of Standards and Technology (NIST). The goal was to better understand the JVM/JIT behavior of various Java platforms for numerical computing. The benchmark is similar in spirit to the Matlab and Java Linpack benchmarks, both of which have proven to be very useful.
The Java FFT kernel was based on components of the GNU Scientific Library (C code developed by Brian Gough).
Karin Remington developed the Perl scripts in the original SciMark to process the incoming result mail into a usable performance database, suitable for displaying in HTML.
SciMark 2.0 contains components from the Java Numerical Toolkit (JNT), an ongoing project at NIST to develop numerical libraries and tools for the Java community.
We would also like to acknowledge the Java Grande Forum and in particular participants of the Java Numerics Working Group for providing helpful discussions and valuable feedback. SciMark is also accessible from the Java Grande Forum Benchmark Suite home page.
As this software was developed as part of work done by the United States Government, it is not subject to copyright, and is in the public domain. We would, however, appreciate acknowledgements if this work is found useful. Note that according to GNU.org public domain is compatible with GPL.
Commercial equipment and software is referred to on these pages in order to precisely document experimental measurements. Mention of these products does not imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the products so identified are necessarily the best available for that purpose.