source code
/* The Computer Language Benchmarks Game
https://salsa.debian.org/benchmarksgame-team/benchmarksgame/
contributed by Isaac Gouy
modified by Josh Goldfoot, based on the Java version by The Anh Tran
*/
using System;
using System.Threading;
using System.Threading.Tasks;
namespace SpectralNorms
{
class SpectralNorm
{
public static void Main(String[] args)
{
int n = 100;
if (args.Length > 0) n = Int32.Parse(args[0]);
Console.WriteLine("{0:f9}", spectralnormGame(n));
}
private static double spectralnormGame(int n)
{
double[] u = new double[n];
double[] v = new double[n];
double[] tmp = new double[n];
// create unit vector
for (int i = 0; i < n; i++)
u[i] = 1.0;
int nthread = Environment.ProcessorCount;
int chunk = n / nthread;
var barrier = new Barrier(nthread);
Approximate[] ap = new Approximate[nthread];
for (int i = 0; i < nthread; i++)
{
int r1 = i * chunk;
int r2 = (i < (nthread - 1)) ? r1 + chunk : n;
ap[i] = new Approximate(u, v, tmp, r1, r2, barrier);
}
double vBv = 0, vv = 0;
for (int i = 0; i < nthread; i++)
{
ap[i].t.Wait();
vBv += ap[i].m_vBv;
vv += ap[i].m_vv;
}
return Math.Sqrt(vBv / vv);
}
}
public class Approximate
{
private Barrier barrier;
public Task t;
private double[] _u;
private double[] _v;
private double[] _tmp;
private int range_begin, range_end;
public double m_vBv, m_vv;
public Approximate(double[] u, double[] v, double[] tmp, int rbegin, int rend, Barrier b)
{
m_vBv = 0;
m_vv = 0;
_u = u;
_v = v;
_tmp = tmp;
range_begin = rbegin;
range_end = rend;
barrier = b;
t = Task.Run(() => run());
}
private void run()
{
// 20 steps of the power method
for (int i = 0; i < 10; i++)
{
MultiplyAtAv(_u, _tmp, _v);
MultiplyAtAv(_v, _tmp, _u);
}
for (int i = range_begin; i < range_end; i++)
{
m_vBv += _u[i] * _v[i];
m_vv += _v[i] * _v[i];
}
}
/* return element i,j of infinite matrix A */
private double eval_A(int i, int j)
{
return 1.0 / ((i + j) * (i + j + 1) / 2 + i + 1);
}
/* multiply vector v by matrix A, each thread evaluate its range only */
private void MultiplyAv(double[] v, double[] Av)
{
for (int i = range_begin; i < range_end; i++)
{
double sum = 0;
for (int j = 0; j < v.Length; j++)
sum += eval_A(i, j) * v[j];
Av[i] = sum;
}
}
/* multiply vector v by matrix A transposed */
private void MultiplyAtv(double[] v, double[] Atv)
{
for (int i = range_begin; i < range_end; i++)
{
double sum = 0;
for (int j = 0; j < v.Length; j++)
sum += eval_A(j, i) * v[j];
Atv[i] = sum;
}
}
/* multiply vector v by matrix A and then by matrix A transposed */
private void MultiplyAtAv(double[] v, double[] tmp, double[] AtAv)
{
MultiplyAv(v, tmp);
// all thread must syn at completion
barrier.SignalAndWait();
MultiplyAtv(tmp, AtAv);
// all thread must syn at completion
barrier.SignalAndWait();
}
}
}
notes, command-line, and program output
NOTES:
64-bit Ubuntu quad core
.NET SDK 9.0.100
Host Version: 9.0.0
Commit: 9d5a6a9aa4
<OutputType>Exe
<TargetFramework>net9.0
<ImplicitUsings>enable
<Nullable>enable
<AllowUnsafeBlocks>true
<ServerGarbageCollection>true
<ConcurrentGarbageCollection>true
<PublishAot>true
<OptimizationPreference>Speed
<IlcInstructionSet>native
Thu, 14 Nov 2024 01:31:03 GMT
MAKE:
cp spectralnorm.csharpaot-3.csharpaot Program.cs
cp Include/csharpaot/program.csproj .
mkdir obj
cp Include/csharpaot/project.assets.json ./obj
/opt/src/dotnet-sdk-9.0.100/dotnet publish
Determining projects to restore...
Restored /home/dunham/all-benchmarksgame/benchmarksgame_i53330/spectralnorm/tmp/program.csproj (in 1.01 sec).
program -> /home/dunham/all-benchmarksgame/benchmarksgame_i53330/spectralnorm/tmp/bin/Release/net9.0/linux-x64/program.dll
Generating native code
program -> /home/dunham/all-benchmarksgame/benchmarksgame_i53330/spectralnorm/tmp/bin/Release/net9.0/linux-x64/publish/
24.63s to complete and log all make actions
COMMAND LINE:
./bin/Release/net9.0/linux-x64/native/program 5500
PROGRAM OUTPUT:
1.274224153