added benchmark scripts for numpy, octave and R

benchmark/scripts/NUMPY/dsolve.py

@@ -0,0 +1,56 @@
+#!/usr/bin/python
+
+import os
+import sys
+import time
+import numpy
+from numpy.random import randn
+
+def run_dsolve(N,l):
+
+	A = randn(N,N).astype('float64')
+	B = randn(N,N).astype('float64')
+
+	start = time.time();
+	for i in range(0,l):
+		ref = numpy.linalg.solve(A,B)
+	end = time.time()
+	
+	timediff = (end -start) 
+	mflops = ( 2.0/3.0 *N*N*N + 2.0*N*N*N) *l / timediff
+	mflops *= 1e-6
+
+	size = "%dx%d" % (N,N)
+	print("%14s :\t%20f MFlops\t%20f sec" % (size,mflops,timediff))
+
+
+if __name__ == "__main__":
+	N=128
+	NMAX=2048
+	NINC=128
+	LOOPS=1
+
+	z=0
+	for arg in sys.argv:
+		if z == 1:
+			N = int(arg)
+		elif z == 2:
+			NMAX = int(arg)
+		elif z == 3:
+			NINC = int(arg)
+		elif z == 4:
+			LOOPS = int(arg)
+
+		z = z + 1
+
+	if 'OPENBLAS_LOOPS' in os.environ:
+		p = os.environ['OPENBLAS_LOOPS']
+		if p:
+			LOOPS = int(p);
+
+	print("From: %d To: %d Step=%d Loops=%d" % (N, NMAX, NINC, LOOPS))
+	print("\tSIZE\t\t\tFlops\t\t\t\t\tTime")
+
+	for i in range (N,NMAX+NINC,NINC):
+		run_dsolve(i,LOOPS)
+