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Each table row shows performance measurements for this Java 7 program with a particular command-line input value N.
| N | CPU secs | Elapsed secs | Memory KB | Code B | ≈ CPU Load |
|---|---|---|---|---|---|
| 500 | 0.30 | 0.25 | 240 | 514 | 16% 4% 96% 12% |
| 3,000 | 5.16 | 5.10 | 14,704 | 514 | 1% 1% 1% 100% |
| 5,500 | 16.90 | 16.85 | 15,236 | 514 | 1% 0% 1% 100% |
Read the ↓ make, command line, and program output logs to see how this program was run.
Read spectral-norm benchmark to see what this program should do.
java version "1.7.0_11"
Java(TM) SE Runtime Environment (build 1.7.0_11-b21)
Java HotSpot(TM) Server VM (build 23.6-b04, mixed mode)
/* The Computer Language Benchmarks Game http://benchmarksgame.alioth.debian.org/ contributed by Java novice Jarkko Miettinen modified ~3 lines of the original C#-version by Isaac Gouy */ import java.text.DecimalFormat; import java.text.NumberFormat; public class spectralnorm { private static final NumberFormat formatter = new DecimalFormat("#.000000000"); public static void main(String[] args) { int n = 100; if (args.length > 0) n = Integer.parseInt(args[0]); System.out.println(formatter.format(new spectralnorm().Approximate(n))); } private final double Approximate(int n) { // create unit vector double[] u = new double[n]; for (int i=0; i<n; i++) u[i] = 1; // 20 steps of the power method double[] v = new double[n]; for (int i=0; i<n; i++) v[i] = 0; for (int i=0; i<10; i++) { MultiplyAtAv(n,u,v); MultiplyAtAv(n,v,u); } // B=AtA A multiplied by A transposed // v.Bv /(v.v) eigenvalue of v double vBv = 0, vv = 0; for (int i=0; i<n; i++) { vBv += u[i]*v[i]; vv += v[i]*v[i]; } return Math.sqrt(vBv/vv); } /* return element i,j of infinite matrix A */ private final double A(int i, int j){ return 1.0/((i+j)*(i+j+1)/2 +i+1); } /* multiply vector v by matrix A */ private final void MultiplyAv(int n, double[] v, double[] Av){ for (int i=0; i<n; i++){ Av[i] = 0; for (int j=0; j<n; j++) Av[i] += A(i,j)*v[j]; } } /* multiply vector v by matrix A transposed */ private final void MultiplyAtv(int n, double[] v, double[] Atv){ for (int i=0;i<n;i++){ Atv[i] = 0; for (int j=0; j<n; j++) Atv[i] += A(j,i)*v[j]; } } /* multiply vector v by matrix A and then by matrix A transposed */ private final void MultiplyAtAv(int n, double[] v, double[] AtAv){ double[] u = new double[n]; MultiplyAv(n,v,u); MultiplyAtv(n,u,AtAv); } }
Mon, 21 Jan 2013 05:56:37 GMT MAKE: mv spectralnorm.java spectralnorm.java mv: `spectralnorm.java' and `spectralnorm.java' are the same file make: [spectralnorm.java_run] Error 1 (ignored) /usr/local/src/jdk1.7.0_11/bin/javac spectralnorm.java 0.53s to complete and log all make actions COMMAND LINE: /usr/local/src/jdk1.7.0_11/bin/java -server -XX:+TieredCompilation -XX:+AggressiveOpts spectralnorm 5500 PROGRAM OUTPUT: 1.274224153