Why do we need virtual memory?

Understanding virtual memory from first principles

May 24 • Abhinav Upadhyay

12

1

17:34

Virtual Memory: A Deep Dive into Page Tables, TLBs, and Linux Internals

From page faults to NUMA topology: how the Linux kernel manages memory, and what that means for the performance of data-intensive systems.

May 10 • Abhinav Upadhyay

148

1

35

December 2025

How PyTorch Generates Random Numbers in Parallel on the GPU

A deep dive into Philox and counter-based RNGs

Dec 18, 2025 • Abhinav Upadhyay

26

5

November 2025

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

11

2

October 2025

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

18

3

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

19

2

4

September 2025

Understanding Weak References in Python

Understanding Python’s memory management with weak references

Sep 30, 2025 • Abhinav Upadhyay

13

1

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

39

7

9

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, 2025 • Abhinav Upadhyay

75

4

9

August 2025

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, 2025 • Abhinav Upadhyay

21

1

1

45:32

Big O vs Hardware: Better Complexity ≠ Better Performance

Why Your O(log n) Algorithm Might Lose to O(n)

Aug 3, 2025 • Abhinav Upadhyay

51

6

July 2025

x86 Assembly Exercise #1: Toy kill Program (Solution)

A step-by-step walkthrough of the toy kill program using raw Linux syscalls.

Jul 19, 2025 • Abhinav Upadhyay

6

8:42