jliu312 / scimark-junkyard

SciMark2 for junkyard project; SciMark 2 is a Java benchmark for scientific and numerical computing. It measures several computational kernels and reports a composite score in approximate Mflops (Millions of floating point operations per second).

SciMark 2: Java Numerical Benchmark

What

SciMark 2 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.

This is a maintained copy of the original software available at https://math.nist.gov/scimark2/index.html

Original authors

Roldan Pozo, Bruce Miller

See the following page for more details: https://math.nist.gov/scimark2/credits.html

Usage

Requires Java 11 to execute, and Maven for compiling from sources.

Get it

Download latest release from the following link https://github.com/rmartinsanta/scimark/releases/

or compile from source (requires maven):

git clone https://github.com/rmartinsanta/scimark
cd scimark
mvn clean package

Executable will be at target/scimark-version.jar.

Executing standalone

Execute standard benchmark using:

java -jar scimark.jar

or large benchmark using -large switch:

java -jar scimark.jar -large

In a few seconds, a similar output to this will appear:

SciMark 2.0a

Composite Score: 2179.5331097294147
FFT (1024): 1421.5490160647023
SOR (100x100):   1549.6220481439555
Monte Carlo : 956.5629209220217
Sparse matmult (N=1000, nz=5000): 1698.373753314555
LU (100x100): 5271.557810201838

java.vendor: AdoptOpenJDK
java.version: 11.0.6
os.arch: x86_64
os.name: Mac OS X
os.version: 10.16

Process finished with exit code 0

Standard benchmark uses small datasets that should be small enough to fit in CPU caches. Large benchmark should not fit in cache so CPU-RAM performance is also measured in the benchmark.

As a library

Available at maven central: https://search.maven.org/artifact/es.urjc.etsii.grafo/scimark/2.1.1/jar

Example for Maven project

<dependency>
    <groupId>es.urjc.etsii.grafo</groupId>
    <artifactId>scimark</artifactId>
    <version>2.1.1</version>
</dependency>

Example usage:

var benchmarkResult = ScimarkAPI.runBenchmark(); // Optionally set a seed, large run, or custom config
double score = benchmarkResult.getScore();

The benchmark may fail under rare circunstances, throwing BenchmarkException and a message explaining why.