private static void RunMatrixMultiplication()
{
const int n = 1500 - 1;
var resultM = new Real[n * n];
var resultC = new Real[n * n];
var left = new Real[n * n];
var right = new Real[n * n];
Benchmark.Run(Loops,
() => MatrixMultiplication.Initialise(left, right, n),
() => MatrixMultiplication.Initialise(left, right, n),
() => AssertAreEqual(resultM, resultC, n, n),
() => MatrixMultiplication.Managed(resultM, left, right, n),
() => MatrixMultiplication.Cuda(resultC, left, right, n));
}
private static void RunMatrixMultiplication(Gpu aleaGpu, CudaAccelerator ilGpu)
{
const int n = 1500 - 1;
var resultM = new Real[n * n];
var resultC = new Real[n * n];
var left = new Real[n * n];
var right = new Real[n * n];
Benchmark.Run(Loops,
() => MatrixMultiplication.Initialise(left, right, n),
() => MatrixMultiplication.Initialise(left, right, n),
() => AssertAreEqual(resultM, resultC, n, n),
() => MatrixMultiplication.Managed(resultM, left, right, n),
() => MatrixMultiplication.Alea(aleaGpu, resultC, left, right, n),
() => MatrixMultiplication.IlGpu(ilGpu, resultC, left, right, n));
}
