June 2019
Intermediate to advanced
218 pages
5h 19m
English
Content preview from Julia High Performance - Second Edition
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Concurrent Programming with Tasks
Most programs in Julia run on a single thread, on a single processor core. In other words, most processing in Julia is synchronous. But we know that a modern computer can appear to do many things in parallel. It can play music while you are writing a report, run your tests when you are typing code, or run a web server in the background. There are many layers to achieving this level of multiprocessing. In this chapter, we will look at concurrent primitives that make it possible to run parallel, or seemingly parallel operations, without the full complexities of shared memory multithreading. We will discuss how the concept of co-operative multitasking, implemented as tasks and asynchronous I/O, helps create ...
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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.