August 2014
Intermediate to advanced
469 pages
16h 30m
English
Content preview from GPGPU Programming for Games and Science
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Chapter 2
CPU Computing
2.1 Numerical Computing
The projects I have worked on have a common theme: numerical computing
using floating-point arithmetic. It is quite easy to compute numerically using
the hardware-supported
float and double data types. The process is simple.
Study the mathematics for the problem at hand, develop an abstract algorithm
for the solution, code up a few equations, and then compile, link, and execute—
the results are at your finger tips. Does the algorithm require computing the
roots to a quadratic equation? No problem, just use the quadratic formula.
Do you need to compute the distance between two line segments? Again, no
problem. ...
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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.