Awesome GitHub RepositoriesCopy-on-Write Memory Optimizations

Swift NIO is a low-level, event-driven network framework for the Swift language. It serves as an asynchronous network protocol stack and I/O library designed to build high-performance network servers and clients that handle thousands of simultaneous connections. The framework functions as a high-concurrency network engine that dispatches events across multiple CPU cores. It enables the implementation of custom network protocols by processing raw bytes through a sequence of reusable data transformation handlers. The system provides capabilities for non-blocking I/O multiplexing, asynchronous

Puma is a concurrent HTTP server for Ruby applications that implements the Rack interface. It operates as a clustered web server, using a combination of worker processes and threads to handle multiple simultaneous web connections via TCP ports or UNIX domain sockets. The server features a master-worker process model that utilizes multiple CPU cores and employs copy-on-write preloading to reduce memory usage. It supports zero-downtime restarts through socket-handover capabilities, allowing application updates without dropping pending network requests. The project includes a token-authenticate

This is an open-source, crowd-sourced wiki textbook that teaches Linux system programming in C. It covers the core operating system concepts of process management through the fork-exec-wait model, dynamic memory allocation using implicit free list heap allocators, inode-based file systems, inter-process communication via pipes and shared memory, POSIX threads with synchronization primitives, signal-based asynchronous notification, virtual memory with page table translation, and runtime diagnostics using Valgrind and GDB. The textbook distinguishes itself by providing practical, implementation

This project is a collection of technical documentation and guides designed as a computer architecture explainer. It provides educational resources on how processors and operating systems execute programs, focusing on the fetch-execute cycle and the fundamental relationship between hardware and the kernel. The documentation covers a wide range of low-level system operations, including detailed guides on the executable and linkable binary format, virtual memory management, and kernel-level operations. It specifically explores the mechanics of CPU scheduling, preemptive multitasking, and the us