1
How simultaneous multithreading works under the hood
Learn the microarchitecture-level details of the processor that enable to execute two threads at the same time on a CPU core
Coding Confessions
I write about how computers work underneath the abstractions: compilers, operating systems, memory, performance, and low-level programming. Click to read Confessions of a Code Addict, by Abhinav Upadhyay, a Substack publication with tens of thousands of subscribers.
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Systems & Performance 4Software Engineering 3Hardware & Electronics 2Programming Languages 1History & Retro Computing 1Databases & Data 1
2
How Unix spell ran in 64kb RAM
How do you fit a dictionary in 64kb RAM? Unix engineers solved it with clever data structures and compression tricks. Here's the fascinating story behind it.
3
The CAP theorem of Clustering: Why Every Algorithm Must Sacrifice Something
No clustering algorithm is perfect and you must make a trade-off.
4
Recent Performance Improvements in Function Calls in CPython
How costly it is to call functions and builtins in your python code? Does inlining help? How have the recent CPython releases improved performance in these areas?
5
Linux Context Switching Internals: Process State and Memory
How does the Linux kernel represent processes and their state: A breakdown of task_struct and mm_struct
6
What Every Developer Should Know About GPU Computing (2023)
A primer on GPU architecture and computing