August 2015
Intermediate to advanced
286 pages
5h 42m
English
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Testing your GPU application with PyOpenCL
In this chapter, we comparatively tested the performance between a CPU and GPU. Before you begin the study of the performance of algorithms, it is important to keep in mind the platform of execution on which the tests were conducted. In fact, the specific characteristics of these systems interfere with the computational time and they represent an aspect of primary importance.
To perform the tests, we used the following machines
- GPU: GeForce GT 240
- CPU: Intel Core2 Duo 2.33 Ghz
- RAM: DDR2 4 Gb
How to do it…
In this test, the computation time of a simple mathematical operation, that is, the sum of two vectors with elements expressed in a floating point will be evaluated and compared. To make a comparison, the ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.