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// Array DAXPY benchmark
#include <blitz/benchext.h>
#include <blitz/array.h>
#include <blitz/vector2.h>
#include <random/uniform.h>
namespace blitz {
extern void sink();
}
using namespace blitz;
#ifdef BZ_FORTRAN_SYMBOLS_WITH_TRAILING_UNDERSCORES
#define arrdaxpyf arrdaxpyf_
#elif defined(BZ_FORTRAN_SYMBOLS_WITH_DOUBLE_TRAILING_UNDERSCORES)
#define arrdaxpyf arrdaxpyf__
#endif
extern "C" {
void arrdaxpyf(double* A, double* B, int& N, double& a);
}
void arrdaxpyFortran77Version(BenchmarkExt<int>& bench);
void arrdaxpyBlitzVersion(BenchmarkExt<int>& bench);
int main()
{
BenchmarkExt<int> bench("Array DAXPY", 2);
const int numSizes = 8;
bench.setNumParameters(numSizes);
bench.setDependentVariable("flops");
Vector<int> parameters(numSizes);
Vector<long> iters(numSizes);
Vector<double> flops(numSizes);
parameters = pow(2.,tensor::i);
cout << parameters;
iters = 100*16*32*8*8*8/pow3(parameters);
cout << iters;
flops = pow3(parameters) * 2 * 2;
cout << flops;
bench.setParameterVector(parameters);
bench.setParameterDescription("3D Array size");
bench.setIterations(iters);
bench.setOpsPerIteration(flops);
bench.beginBenchmarking();
arrdaxpyBlitzVersion(bench);
arrdaxpyFortran77Version(bench);
bench.endBenchmarking();
bench.saveMatlabGraph("arrdaxpy.m");
return 0;
}
void initializeRandomDouble(double* data, int numElements)
{
ranlib::Uniform<double> rnd;
for (int i=0; i < numElements; ++i)
data[i] = rnd.random();
}
void arrdaxpyBlitzVersion(BenchmarkExt<int>& bench)
{
bench.beginImplementation("Blitz++");
while (!bench.doneImplementationBenchmark())
{
int N = bench.getParameter();
cout << "Blitz++: N = " << N << endl;
cout.flush();
long iters = bench.getIterations();
Array<double,3> A(N,N,N), B(N,N,N);
initializeRandomDouble(A.data(), N*N*N);
initializeRandomDouble(B.data(), N*N*N);
TinyVector<int,2> size = N-2;
double a = 0.34928313;
double b = - a;
bench.start();
for (long i=0; i < iters; ++i)
{
A += a * B;
A += b * B;
sink();
}
bench.stop();
bench.startOverhead();
for (long i=0; i < iters; ++i) {
sink();
}
bench.stopOverhead();
}
bench.endImplementation();
}
void arrdaxpyFortran77Version(BenchmarkExt<int>& bench)
{
bench.beginImplementation("Fortran 77");
while (!bench.doneImplementationBenchmark())
{
int N = bench.getParameter();
cout << "Fortran 77: N = " << N << endl;
cout.flush();
int iters = (int)bench.getIterations();
size_t arraySize = size_t(N) * size_t(N) * N;
double* A = new double[arraySize];
double* B = new double[arraySize];
initializeRandomDouble(A, arraySize);
initializeRandomDouble(B, arraySize);
double a = 0.34928313;
for (long i=0; i < iters; ++i)
{
arrdaxpyf(A,B,N,a);
sink();
}
bench.stop();
bench.startOverhead();
for (long i=0; i < iters; ++i) {
sink();
}
bench.stopOverhead();
delete [] A;
delete [] B;
}
bench.endImplementation();
}
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