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You're reading from  Hands-On GPU Programming with Python and CUDA

Product typeBook
Published inNov 2018
Reading LevelBeginner
PublisherPackt
ISBN-139781788993913
Edition1st Edition
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Dr. Brian Tuomanen
Dr. Brian Tuomanen
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Dr. Brian Tuomanen

Dr. Brian Tuomanen has been working with CUDA and General-Purpose GPU Programming since 2014. He received his Bachelor of Science in Electrical Engineering from the University of Washington in Seattle, and briefly worked as a Software Engineer before switching to Mathematics for Graduate School. He completed his Ph.D. in Mathematics at the University of Missouri in Columbia, where he first encountered GPU programming as a means for studying scientific problems. Dr. Tuomanen has spoken at the US Army Research Lab about General Purpose GPU programming, and has recently lead GPU integration and development at a Maryland based start-up company. He currently lives and works in the Seattle area.
Read more about Dr. Brian Tuomanen

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Fast Fourier transforms with cuFFT

Now let's look at how we can do some basic fast Fourier transforms (FFT) with cuFFT. First, let's briefly review what exactly a Fourier transform is. If you have taken an advanced Calculus or Analysis class, you might have seen the Fourier transform defined as an integral formula, like so:

What this does is take f as a time domain function over x. This gives us a corresponding frequency domain function over "ξ". This turns out to be an incredibly useful tool that touches virtually all branches of science and engineering.

Let's remember that the integral can be thought of as a sum; likewise, there is a corresponding discrete, finite version of the Fourier Transform called the discrete Fourier transform (DFT). This operates on vectors of a finite length and allows them to be analyzed or modified in the frequency...

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Hands-On GPU Programming with Python and CUDA
Published in: Nov 2018Publisher: PacktISBN-13: 9781788993913

Author (1)

author image
Dr. Brian Tuomanen

Dr. Brian Tuomanen has been working with CUDA and General-Purpose GPU Programming since 2014. He received his Bachelor of Science in Electrical Engineering from the University of Washington in Seattle, and briefly worked as a Software Engineer before switching to Mathematics for Graduate School. He completed his Ph.D. in Mathematics at the University of Missouri in Columbia, where he first encountered GPU programming as a means for studying scientific problems. Dr. Tuomanen has spoken at the US Army Research Lab about General Purpose GPU programming, and has recently lead GPU integration and development at a Maryland based start-up company. He currently lives and works in the Seattle area.
Read more about Dr. Brian Tuomanen