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0 pointsicedchai5y ago0 comments

Some languages make it very simple to do parallel operations. Java and Scala parallel streams, for example, are like one line of code. Obviously that won't work for all use cases, but when it does, it is simple.

Heavily multi threaded code is difficult to write correctly. Do it wrong, you wind up with race conditions, data corruption, dead locks because a thread pool or other resource is exhausted, thread leaks because you didn't shut something down correctly. The problems go on and on.

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snovv_crash5y ago

Use a map-reduce style pattern for your work allocation and you lose some small amount of efficiency, but the design becomes much much easier. You can even mix and match different types of work in your reduce stage to keep the different types of hardware busy.

j / k navigate · click thread line to collapse

0 pointsicedchai5y ago0 comments

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snovv_crash5y ago

j / k navigate · click thread line to collapse