June 2018
Intermediate to advanced
316 pages
6h 34m
English
Content preview from Mastering High Performance with Kotlin
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The problem of concurrency and parallelism
While concurrency is executing independent subtasks out of order without affecting the final result, parallelism is the executing subtasks that are carried out simultaneously. Parallelism involves concurrency, but concurrency is not necessarily executed in a parallel manner.
The compiler feels free to reorder instructions to perform optimization. This means that there are cases in which accesses to variables, during the execution of a program, may differ from the order specified in the code. Data is moved between registers, caches, and RAM all the time. There are no requirements for the compiler to perform synchronization between threads perfectly because this would cost too much from the performance ...
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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.