Confessions of a Code Addict
Abhinav UpadhyayDeep dives into compilers, performance optimization, Linux internals, and low-level programming. For engineers who love understanding systems at a fundamental level.
| Platform |  | Pricing | Freemium | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 109 | Founded | 3 years ago | Last Issue | 15 days ago |
| Active | |||||
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blog.codingconfessions.comLatest Issues
Virtual Memory: A Deep Dive into Page Tables, TLBs, and Linux Internals
This article is almost a book-length coverage of virtual memory. I have been working on it for the last couple of months.
Since this is a book-length deep dive, I have also prepared a beautifully typeset 60-page PDF version for readers who...
How PyTorch Generates Random Numbers in Parallel on the GPU
GPUs power modern deep learning models because these models rely on tensor operations, which can be efficiently parallelized on GPUs with their thousands of cores. However, apart from tensor computations, these models also rely on random nu...
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.
Welcome back to our series on x86 assembly programming. If you are new, you can check out the series overview.
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.
Performance is critical for systems programmers, and accurate benchmarking is the foundation of meaningful optimiz...
My Top 5 Favourite Features in Python 3.14
The Pi release of Python (so named because it is version 3.14, matching the digits of π) is finally here. You can go through the list of new features and major changes yourself release notes. In this post, I want to go through my top 5 favo...
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Authors
The writers behind this newsletter.
I’m a systems programmer with a focus on performance engineering, compilers, and OS internals. I break down CPUs, interpreters, and runtime mechanics — with deep dives that go beyond the surface-level.
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