zomnoys
Joined 5 karma
- zomnoysIsn’t this not true since these models run with a non-zero temperature?
- I believe the author addresses this by making the table `UNLOGGED`. https://www.crunchydata.com/blog/postgresl-unlogged-tables. These have less overhead.
- Why?
- Above anything, this shows the performance gains from 3.10 -> 3.11:
>> python3.10 create_task_overhead.py 100,000 tasks 185,694 tasks per/s 200,000 tasks 165,581 tasks per/s 300,000 tasks 170,857 tasks per/s 400,000 tasks 159,081 tasks per/s 500,000 tasks 162,640 tasks per/s 600,000 tasks 158,779 tasks per/s 700,000 tasks 161,779 tasks per/s 800,000 tasks 179,965 tasks per/s 900,000 tasks 160,913 tasks per/s 1,000,000 tasks 162,767 tasks per/s >> python3.11 create_task_overhead.py 100,000 tasks 289,318 tasks per/s 200,000 tasks 265,293 tasks per/s 300,000 tasks 266,011 tasks per/s 400,000 tasks 259,821 tasks per/s 500,000 tasks 251,819 tasks per/s 600,000 tasks 267,441 tasks per/s 700,000 tasks 251,789 tasks per/s 800,000 tasks 254,303 tasks per/s 900,000 tasks 249,894 tasks per/s 1,000,000 tasks 266,581 tasks per/s - I am currently in the online MS in CS from UT Austin, and I am really enjoying it. I’m just doing one class at a time for fun. I’m only in my second class right now, but I’m excited for this to add new courses!
- This feels a bit reductionary. Database indexes definitely have more to consider than just simple lookup tables. I’d say that mental model breaks down in practice.
- This is briefly touched upon in “Why we sleep: unlocking the power of sleep and dreams” by Matthew Walker. I highly recommend it!