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SciMark 2.0 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).

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package jnt.scimark2;

public class Constants
{

	public static final double RESOLUTION_DEFAULT = 2.0;  /*secs*/
	public static final int RANDOM_SEED = 101010;

	// default: small (cache-contained) problem sizes
	//
	public static final int FFT_SIZE = 1024;  // must be a power of two
	public static final int SOR_SIZE =100; // NxN grid
	public static final int SPARSE_SIZE_M = 1000;
	public static final int SPARSE_SIZE_nz = 5000;
	public static final int LU_SIZE = 100;

	// large (out-of-cache) problem sizes
	//
	public static final int LG_FFT_SIZE = 1048576;  // must be a power of two
	public static final int LG_SOR_SIZE =1000; // NxN grid
	public static final int LG_SPARSE_SIZE_M = 100000;
	public static final int LG_SPARSE_SIZE_nz =1000000;
	public static final int LG_LU_SIZE = 1000;

	// tiny problem sizes (used to mainly to preload network classes 
	//                     for applet, so that network download times
	//                     are factored out of benchmark.)
	//
	public static final int TINY_FFT_SIZE = 16;  // must be a power of two
	public static final int TINY_SOR_SIZE =10; // NxN grid
	public static final int TINY_SPARSE_SIZE_M = 10;
	public static final int TINY_SPARSE_SIZE_N = 10;
	public static final int TINY_SPARSE_SIZE_nz = 50;
	public static final int TINY_LU_SIZE = 10;

}