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Saxpy with numpy functions

7.5.5.1 : A naive implementation of the saxpy

Now, let's write the saxpyBasePython.py file :

We need to import several packages : 
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import sys
import numpy as np
import astericshpc
The function to evaluate performances is built the same way such as the C++ one : 
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def getTimeFunctionSize(nbRepetition, nbElement):
	tabX = np.asarray(np.random.random(nbElement), dtype=np.float32)
	tabY = np.asarray(np.random.random(nbElement), dtype=np.float32)
	tabRes = np.zeros(nbElement, dtype=np.float32)
	scal = 42.0
	timeBegin = astericshpc.rdtsc()
	for i in range(0, nbRepetition):
		for j in range(0, nbElement):
			tabRes[j] =  scal*tabX[j] + tabY[j]
	
	timeEnd = astericshpc.rdtsc()
	elapsedTime = float(timeEnd - timeBegin)/float(nbRepetition)
	elapsedTimePerElement = elapsedTime/float(nbElement)
	print("nbElement =",nbElement,", elapsedTimePerElement =",elapsedTimePerElement,"cy/el",", elapsedTime =",elapsedTime,"cy")
	print(str(nbElement) + "\t" + str(elapsedTimePerElement) + "\t" + str(elapsedTime),file=sys.stderr)
Then, we have a function to make all the points with a list of sizes : 
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def makeElapsedTimeValue(listSize, nbRepetition):
	for val in listSize:
		getTimeFunctionSize(nbRepetition, val)
Finally, we call the performances tests only if this script is executed as a main file and not if it is included by an other file : 
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if __name__ == "__main__":
	listSize = [1000,
			1600,
			2000,
			2400,
			2664,
			3000,
			4000,
			5000,
			10000]
	makeElapsedTimeValue(listSize, 10000)
The full saxpyBasePython.py file : 
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'''
	Auteur : Pierre Aubert
	Mail : aubertp7@gmail.com
	Licence : CeCILL-C
'''

import sys
import numpy as np
import astericshpc

def getTimeFunctionSize(nbRepetition, nbElement):
	tabX = np.asarray(np.random.random(nbElement), dtype=np.float32)
	tabY = np.asarray(np.random.random(nbElement), dtype=np.float32)
	tabRes = np.zeros(nbElement, dtype=np.float32)
	scal = 42.0
	timeBegin = astericshpc.rdtsc()
	for i in range(0, nbRepetition):
		for j in range(0, nbElement):
			tabRes[j] =  scal*tabX[j] + tabY[j]
	
	timeEnd = astericshpc.rdtsc()
	elapsedTime = float(timeEnd - timeBegin)/float(nbRepetition)
	elapsedTimePerElement = elapsedTime/float(nbElement)
	print("nbElement =",nbElement,", elapsedTimePerElement =",elapsedTimePerElement,"cy/el",", elapsedTime =",elapsedTime,"cy")
	print(str(nbElement) + "\t" + str(elapsedTimePerElement) + "\t" + str(elapsedTime),file=sys.stderr)

def makeElapsedTimeValue(listSize, nbRepetition):
	for val in listSize:
		getTimeFunctionSize(nbRepetition, val)

if __name__ == "__main__":
	listSize = [1000,
			1600,
			2000,
			2400,
			2664,
			3000,
			4000,
			5000,
			10000]
	makeElapsedTimeValue(listSize, 10000)
You can download it here.

This example will be obviously really slow. When you are using numpy arrays, be careful to use operators and built-in functions as much as you can.

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Saxpy with numpy functions