Confessions of a Code Addict | Abhinav Upadhyay | Substack

How PyTorch Generates Random Numbers in Parallel on the GPU

A deep dive into Philox and counter-based RNGs

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What Every Developer Should Know About GPU Computing

Oct 18, 2023 • Abhinav Upadhyay

How Unix Spell Ran in 64kB RAM

Jan 12, 2025 • Abhinav Upadhyay

How Many Lines of C it Takes to Execute a + b in Python?

Dec 6, 2023 • Abhinav Upadhyay

A Software Engineer's Guide to Reading Research Papers

Jan 28, 2025 • Abhinav Upadhyay

Recent posts

x86 Addressing Modes, Part 1 — Immediate and Direct Access

The foundations of memory access: static allocation, addressing modes, and the first steps toward low-level thinking.

Nov 12, 2025 • Abhinav Upadhyay

A Systems Engineer’s Guide to Benchmarking with RDTSC

A deep dive into rdtsc, instruction stream serialization, and memory fences for precise cycle-level performance measurement.

Oct 23, 2025 • Abhinav Upadhyay

My Top 5 Favourite Features in Python 3.14

Exploring the concurrency, debugging, and performance upgrades that make Python 3.14 special.

Oct 11, 2025 • Abhinav Upadhyay

Understanding Weak References in Python

Understanding Python’s memory management with weak references

Sep 30, 2025 • Abhinav Upadhyay

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, 2025 • Abhinav Upadhyay and Yusuf Olokoba

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