2min chapter

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#60: Scaling Python to 1000's of cores with Ufora

Talk Python To Me

CHAPTER

The Problem With Caching in a Distributed Environment

One of the things you can do to make your code much more high performance, especially around parallelism, but even in general, is to think about caching cache misses on the CPU cache. And that's a, you know, running on my own machine. But it's interesting that that also applies on the distributed sense for you guys. Yeah, well, in many senses, it's exactly the same problem. It's just that it's a much, much, much worse problem. Like if you have a job running on one computer on a network and it says, hey, I need this 50 meg of data on another machine, like go get that for me.

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