March 2018
Intermediate to advanced
272 pages
7h 4m
English
Content preview from Rust High Performance
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Parallel iterators
If you can see the big picture in these code examples, you'll have realized that most of the parallel work has a long loop, giving work to different threads. It happened with simple threads and it happens even more with scoped threads and thread pools. It's usually the case in real life, too. You might have a bunch of data to process, and you can probably separate that processing into chunks, iterate over them, and hand them over to various threads to do the work for you.
The main issue with that approach is that if you need to use multiple stages to process a given piece of data, you might end up with lots of boilerplate code that can make it difficult to maintain. Not only that, you might find yourself not using parallel ...
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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.
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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.