The most cited deep learning papers

Bootstrap yourself to write an OS from scratch. A book for self-learner.

Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source

The Linux Kernel Module Programming Guide (updated for 5.0+ kernels)

Book of Elementary Functional Algorithms and Data structures

The book "Performance Analysis and Tuning on Modern CPU"

教科书《计算机体系结构基础》（胡伟武等，第三版）的开源版本

A free book: "The Science of Functional Programming"

This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.

Sources for my PhD dissertation on the Raft consensus algorithm

Presentation on how the Linux kernel is developed

Low-Level Software Security for Compiler Developers

Lecture notes for a course on cryptography

An unofficial assembly reference for RISC-V.

Is Parallel Programming Hard, And If So, What Can You Do About It?

Repository of course notes and homework

A Super Fast Multithreaded malloc() for 64-bit Machines

The book of CPS-1

Experiments with array layouts for comparison-based searching

Systems for Data Science repo