Subscribe
Sign in
Home
Podcast
Notes
CPython Internals
AI
Computer Architecture
Linux Internals
x86-assembly
Contact Me
Archive
About
My Top 5 Favourite Features in Python 3.14
Exploring the concurrency, debugging, and performance upgrades that make Python 3.14 special.
READ THE LATEST
Most Popular
View all
What Every Developer Should Know About GPU Computing
Oct 18, 2023
•
Abhinav Upadhyay
312
11
How Unix Spell Ran in 64kB RAM
Jan 12
•
Abhinav Upadhyay
102
1
How Many Lines of C it Takes to Execute a + b in Python?
Dec 6, 2023
•
Abhinav Upadhyay
56
5
A Software Engineer's Guide to Reading Research Papers
Jan 28
•
Abhinav Upadhyay
152
Recent posts
View all
Understanding Weak References in Python
Understanding Python’s memory management with weak references
Sep 30
•
Abhinav Upadhyay
13
Compiling Python to Run Anywhere
A guest post on building a Python compiler that generates optimized kernels while preserving the language’s simplicity.
Sep 23
•
Abhinav Upadhyay
and
Yusuf Olokoba
35
7
What Makes System Calls Expensive: A Linux Internals Deep Dive
An explanation of how Linux handles system calls on x86-64 and why they show up as expensive operations in performance profiles
Sep 16
•
Abhinav Upadhyay
64
4
How to Leverage the CPU’s Micro-Op Cache for Faster Loops
Measuring, analyzing, and optimizing loops using Linux perf, Top-Down Microarchitectural Analysis, and the CPU’s micro-op cache
Aug 15
•
Abhinav Upadhyay
19
1
45:32
Big O vs Hardware: Better Complexity ≠ Better Performance
Why Your O(log n) Algorithm Might Lose to O(n)
Aug 3
•
Abhinav Upadhyay
50
This site requires JavaScript to run correctly. Please
turn on JavaScript
or unblock scripts
