Confessions of a Code Addict

Confessions of a Code Addict

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Hardware-Aware Coding: CPU Architecture Concepts Every Developer Should Know

Write faster code by understanding how it flows through your CPU
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What Every Developer Should Know About GPU Computing
 • Abhinav Upadhyay
10
How Unix Spell Ran in 64kB RAM
 • Abhinav Upadhyay
1
How Many Lines of C it Takes to Execute a + b in Python?
 • Abhinav Upadhyay
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Two Threads, One Core: How Simultaneous Multithreading Works Under the Hood
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Building (and Breaking) Your First X86 Assembly Program
We build a minimal X86 assembly program, run it… and hit a crash. But that crash is exactly what makes this program worth writing.
 • 
Abhinav Upadhyay
3
The System-Level Foundation of Assembly
Tracing how the CPU, OS, and ELF format shape the structure of your assembly code
 • 
Abhinav Upadhyay
Binary Arithmetic and Bitwise Operations for Systems Programming
Understand how computers represent numbers and perform operations at the bit level before diving into assembly
 • 
Abhinav Upadhyay
Understanding Computer Organization from First Principles
A ground-up model of how computers execute code, starting from logic gates and ending at the instruction cycle.
 • 
Abhinav Upadhyay
Python Performance: Why 'if not list' is 2x Faster Than Using len()
Discover why 'if not mylist' is twice as fast as 'len(mylist) == 0' by examining CPython's VM instructions and object memory access patterns.
 • 
Abhinav Upadhyay
2
© 2025 Abhinav Upadhyay
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