Concurrency and parallelism are becoming more important by the day, as processor cores are becoming more numerous per CPU and more widespread in every type of computing device, while single core performance is stagnating. Something that used to be barely accessible to the average programmer is now becoming ubiquitous, which makes it even more pertinent to learn how to utilize all of these supercomputers effectively. Besides, parallel processing is a fascinating topic, and I think it's great that it is now so easy to experiment at home with things that used to be reserved for huge companies and university research departments. In order to become more proficient at programming in this way, I started with the book Seven Concurrency Models in Seven Weeks: When Threads Unravel by Paul Butcher for an overview of the current state of affairs in concurrent and parallel programming. Then I went for an introduction to CUDA programming for GPUs with CUDA by Example by Jason Sanders and Edward Kandrot. I've been looking forward to digging into these fascinating books for a while now, so let's see how they stack up.
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