Very nice demo. Julia seems to have several different approaches to parallelism, and now there’s FLoop to add to the mix. Is there someplace that summarizes an overall strategy to parallelism for someone learning Julia?

Nice Tutorial

super helpful walkthrough, thank you!

Pardon me, is there anyone who knows where to buy the jacket of Prof Edelman?

Hi Alan love this info - take a look at AMD Threadripper CPUs , I'm sporting 32 Threads over 16 CPUs man ! ( also suggest try out NUMA / Gamer mode after BIOS upgrades )

Are there more resources for this? I ran the birthday problem step-by-step with this video. I had to add the StaticVectors and the FLoops (which acted like it wasn't installed, but then updated?). And now my 2018 MacBPro is not as fast when computing anything in Julia. All the things I did, the @SVector and @floop, none of those speed things up and in each case slowed them down. I've Julia in VS Code. I'm happy to try it all again in something else, but it weird that every one of these solutions to speed things up, only slow everything down.

Is the @reduce macro possibly hitting the bottleneck of concurrent access to the histogram? Is there a fix "under the hood" to avoid the potentially negative consequences of this concurrent access?

How can i download this course completely.for me it shows just week 8 of this course

Please indent the code properly next time. It is actually disturbing to see this. I know it is not mandatory in julia, but it makes it easier to read and understand.