On Wednesday, 6 May 2020 at 07:57:46 UTC, WebFreak001 wrote:
On Wednesday, 6 May 2020 at 07:42:44 UTC, data pulverizer wrote:
On Wednesday, 6 May 2020 at 07:27:19 UTC, data pulverizer
wrote:
Just tried removing the boundscheck and got 1.5 seconds in D!
Cool! But before getting too excited I would recommend you to
also run tests if the resulting data is even still correct
before you keep this in if you haven't done this already!
Yes, I've been outputting portions of the result which is a
10_000 x 10_000 matrix but it's definitely a good idea to do a
full reconciliation of the outputs from all the languages.
If you feel like it, I would recommend you to write up some
small blog article what you learned about how to improve
performance of hot code like this. Maybe simply write a post on
reddit or make a full blog or something.
I'll probably do a blog on GitHub and it can be linked it on
reddit.
Ultimately: all the smart suggestions in here should probably
be aggregated. More benchmarks and more blog articles always
help the discoverability then.
Definitely, Julia has a very nice performance optimization
section that makes things easy to start with
https://docs.julialang.org/en/v1/manual/performance-tips/index.html, it helps alot to start getting your code speedy before you ask for help from the community.
