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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.
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Using printf from within CUDA kernels

It may come as a surprise, but we can actually print text to the standard output from directly within a CUDA kernel; not only that, each individual thread can print its own output. This will come in particularly handy when we are debugging our kernels, as we may need to monitor the values of particular variables or computations at particular points in our code and it will also free us from the shackles of using a debugger to go through step by step. Printing output from a CUDA kernel is done with none other than the most fundamental function in all of C/C++ programming, the function that most people will learn when they write their first Hello world program in C: printf. Of course, printf is the standard function that prints a string to the standard output, and is really the equivalent in the C programming language of Python's print function...

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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