SciMark 2.0 Java Numerical Benchmark
Roldan Pozo, Bruce Miller
NIST
SciMark 2.0 is a composite Java benchmark measuring the performance of
numerical kernels occurring in scientific and engineering applications.
It consists of five kernels which typify computational routines
commonly found in numeric codes: Fast Fourier Transforms (FFTs),
Jacobi Successive Over-relaxation (SOR), Sparse matrix-multiply,
Monte Carlo integration, and dense LU matrix factorization.
(See http://www.math.nist.gov/scimark for further information
and latest updates.)
1) INSTALLATION
Unpack the contents of archive into a subdirectory on your
CLASSPATH. Be sure to keep the directory structure of the
file contents.
2) COMPILING THE BENCHMARKS (optional)
From the directory above this one, issue the command:
>javac -O commandline.java
This should compile main benchmark driver and dependent files.
3) RUNNING THE BENCHMARKS
From the directory above this one, issue the command:
>java scimark.commandline
or
>java scimark.commandline -large
to run the large problem size version. (Note that this one
takes considerably longer to run.)
After a few minutes, the program should respond with
the benchmark results, e.g.
>javac scimark.commandline
SciMark 2.0a
Composite Score: 20.791595999749727
FFT (4096): 30.260047144878346
Jacobi SOR (100x100): 33.074935359763934
Monte Carlo (25000): 11.510791361970528
Sparse matmult (nz=25000), 10 iterations: 8.007507030681996
LU (100x100): 21.104699101453836
java.vendor: Sun Microsystems Inc.
java.version: 1.2
os.arch: x86
os.name: Windows NT
os.version: 4.0
One can send these results to "pozo@nist.gov".
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