alt Hacker NewsHaving read or at least skimmed most of those books, I think the best intro is 'CUDA Programming: A Developer's Guide to Parallel Computing with GPUs'
Massively Parallel Processors: A Hands-on Approach is not really good in my opinion, many small mistakes and confusing sentences (even when you know cuda).
CUDA by Example: An Introduction to General-Purpose GPU Programming is too simple and abstract too much the architecture.
Next year I'm planning to start writing a cuda book that starts by engineering the hardware, and goes up to the optimization part on that harware (which is basically a nvidia card) including all the main algorithms (except for graphs).
I'm already teaching the course in this way at uni, and it is quite successful among students.
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Interesting, thanks for sharing.
What makes CUDA Programming: A Developer's Guide to Parallel Computing with GPUs better among its peers?
Very valuable comment. Thank you.
I always appreciate book lists like this one, but having a small targeted list is more practical for those of us with limited reading time.
I really wish there were better options to PMPP... It's by far the most up-to-date book, but I totally agree the writing is sort of bad and some of the code examples are straight up incorrect.
So tl;dr, you have at least one person who would pay for a better book :-)
the first book was published in 2012,is it too outdated?
How about this guide:
https://docs.nvidia.com/cuda/cuda-programming-guide/pdf/cuda...