Open-source alternatives to Compute Runtime

This project is a bare-metal operating system developed for ARM64 architecture. It serves as a low-level implementation of kernel engineering, focusing on the fundamental construction of an OS from the hardware level up. The system is distinguished by its comprehensive approach to ARM64 processor control, featuring a red-black tree task scheduler and a hierarchical page table system for virtual memory management. It implements a sophisticated privilege model that handles transitions between kernel and user modes, ensuring process isolation through address space splitting and exception level m

This library is a JavaScript framework for general-purpose computing on graphics processing units. It enables the execution of parallel mathematical operations directly within the browser by offloading data-heavy calculations to graphics hardware. The project functions as a web-based math accelerator that converts standard JavaScript functions into shader code for execution on the graphics processor. It provides a unified interface that detects available graphics APIs and manages data transfer between system and graphics memory. To ensure compatibility across diverse environments, the library

gfx is a hardware-agnostic graphics API abstraction that translates a unified set of graphics and compute commands into native instructions for multiple GPU drivers. It provides a common interface for cross-platform rendering and general-purpose GPU compute programming. The project features an intermediate-representation shader translation system that converts source code and SPIR-V into target-specific languages. It employs a data-driven reference test framework to verify that graphics output remains consistent across different hardware platforms. Capabilities include parallel command buffe

XMRig is a multi-algorithm hashing tool and cryptocurrency miner that utilizes CPU, CUDA, and OpenCL hardware to execute hashing algorithms across multiple operating systems. It functions as a computational engine for mining cryptocurrency and benchmarking hardware efficiency. The project includes a Stratum proxy server that routes mining traffic between worker clients and pools to optimize connectivity and balance load. It also provides a secured HTTP management API for monitoring hashrates and modifying miner configuration in real time without restarting the process. The software covers a

gpu.cpp is a lightweight C++ library for executing low-level general-purpose GPU computation across different hardware vendors and operating systems. It functions as a portable GPU wrapper, kernel orchestrator, and tensor management system using the WebGPU specification to abstract device initialization, buffer transfers, and compute shader dispatching. The library provides a framework for defining compute kernels from shader code and managing their asynchronous dispatch and synchronization. It enables the execution of cross-platform compute shaders and the orchestration of GPU tasks through

This project is a cross-platform graphics and compute framework that provides a unified, hardware-agnostic abstraction layer for rendering and parallel processing. It enables developers to build high-performance applications that execute consistently across diverse operating systems and hardware backends, including Vulkan, Metal, and DirectX. By mapping high-level graphics commands to native APIs, it serves as a portable foundation for both real-time 3D rendering and general-purpose GPU computing. The framework distinguishes itself through a robust architecture that supports both native deskt

This project is a cross-platform game engine framework and build pipeline designed to produce playable executable binaries for desktop and Android devices. It provides a collection of core libraries for game development, including a native Android build system and a C++ build pipeline. The framework features a specialized bitmap font rendering system that displays stylized typography by mapping character indices to image atlases using coordinate and spacing metadata. It also implements a hardware abstraction layer to decouple application logic from graphics and audio drivers, ensuring portabl

This repository is a collection of reference implementations and programming examples for the CUDA Toolkit. It serves as a GPGPU implementation guide and a parallel computing reference, providing code for using graphics hardware to perform general-purpose calculations and high-performance parallel processing. The project provides specific samples for GPU kernel development and resource management. These include demonstrations of multi-GPU communication, peer-to-peer memory access, and system hardware inspection to coordinate distributed GPU resources. The codebase covers a wide range of capa

The Espressif SoC Development Framework is a comprehensive toolset for developing, compiling, and flashing applications targeting Espressif system-on-chips. It serves as an embedded toolchain orchestrator and a hardware abstraction layer that simplifies the control of low-level peripherals, memory mapping, and chip-specific registers. The framework provides a dedicated IoT connectivity stack for implementing Wi-Fi, Bluetooth, Zigbee, and Ethernet communication on microcontrollers. It also includes an embedded real-time operating system integration layer to manage multitasking and scheduling o

Triton is a parallel computing framework and high-level programming language designed for writing custom compute kernels. It functions as a deep learning compiler, translating complex mathematical operations into high-throughput instructions that maximize hardware utilization and memory efficiency on graphics processing units. The framework distinguishes itself through a hardware-agnostic compute abstraction that allows developers to define kernels without manual low-level tuning. It employs just-in-time compilation to generate optimized binary instructions at runtime, utilizing static data f

CppGuide is a curated collection of educational resources and practical guides focused on C++ server development, Linux kernel internals, concurrent programming, network protocols, and security exploitation. It provides structured learning paths for backend developers, covering everything from interview preparation to building high-performance network servers and understanding operating system fundamentals. The guide distinguishes itself by offering in-depth, hands-on tutorials that walk through real-world implementations, including building a Redis-like server from scratch, designing custom

Numba is a just-in-time compiler that translates high-level Python functions into optimized machine code at runtime. By leveraging the LLVM compiler infrastructure, it provides a framework for accelerating numerical data processing and mathematical computations, enabling performance levels comparable to statically compiled languages. The project distinguishes itself through its ability to perform type-inference-based specialization, which generates machine instructions tailored to the specific data types used during execution. It employs a lazy compilation pipeline that defers translation unt

CUDA.jl provides a programming interface for executing custom kernels and performing parallel array computing directly on NVIDIA graphics hardware using the Julia language. It serves as a framework for compiling and scheduling user-defined functions across multiple processing cores, enabling high-performance data processing and task synchronization. The library distinguishes itself through a custom compiler backend that translates high-level language functions into hardware-specific machine code. It manages complex hardware interactions through asynchronous stream scheduling, unified memory m

Hekate is a bootloader and system recovery tool for Nintendo Switch hardware. It functions as a multi-OS boot manager that allows the execution of binary payloads and the launching of stock firmware, custom firmware, Android, and Linux through a graphical interface. The project provides a suite of recovery and system modification tools, including the ability to create and restore full backups of internal storage. It also features a USB HID gamepad emulator that maps device controller inputs to USB signals for interacting with external computers. The software covers broad capability areas inc

cuDF is a GPU-accelerated dataframe library and data processing engine designed for manipulating and analyzing large tabular datasets. It provides a high-level API for executing filtering, joining, and aggregating operations directly on GPU hardware. The project integrates the Apache Arrow memory format to enable zero-copy data transfers and includes a just-in-time compiler for executing custom user-defined functions on the GPU. The library features specialized acceleration for existing workflows by redirecting standard Pandas dataframe calls and Polars query plans to a GPU backend. It also p

This project is a monolithic operating system kernel designed to serve as the foundational software layer for diverse computing architectures and embedded platforms. It manages core system services, including processor scheduling, memory allocation, and hardware resource distribution, to facilitate communication between user applications and physical hardware. The kernel utilizes a hardware abstraction layer and platform-specific device trees to ensure consistent operation across a wide variety of processors and specialized computing devices. It supports dynamic functionality through loadable

OpenCore Legacy Patcher is a utility designed to enable the installation and operation of modern operating systems on legacy hardware that is no longer officially supported. By interposing a custom bootloader between the system firmware and the kernel, the project facilitates the deployment of current software releases on older devices, bypassing restrictive compatibility checks and hardware identification requirements. The project distinguishes itself through a comprehensive framework for system interposition and persistent patching. It employs dynamic kernel extension injection and runtime

This project is a collection of reference implementations and benchmarks demonstrating the use of the Vulkan graphics and compute API. It provides a set of cross-platform examples and GPU programming patterns designed for high-performance rendering and hardware-accelerated tasks. The repository includes a suite of performance benchmarks used to measure API behavior across different hardware environments. It features a modular architecture that organizes rendering examples into isolated units, along with command-line utilities for the batch execution of sample sequences. The project covers se

This project is a collection of reference implementations and technical guides for building high-performance 3D applications and graphics experiments on Windows. It provides a library of samples covering the implementation of GPU compute frameworks, raytracing reference models, and shader optimization techniques. The repository includes specific demonstrations for modeling physical light behavior to create reflections and lighting effects, as well as tools for analyzing memory dumps and tracking real-time execution metrics on graphics hardware. It further provides guidance on managing shader

CS-Xmind-Note is a collection of structured mind maps and conceptual diagrams serving as a comprehensive knowledge base for computer science fundamentals. It functions as an academic reference and study guide, organizing core subjects into a visual mapping of interdependent technical concepts. The project utilizes an XMind-compatible schema to model complex domains through hierarchical nodes and relational concept mapping. This approach allows for the visual representation of technical layers, linking hardware specifications to software abstractions. The knowledge base covers several primary

Contiki is an operating system designed for resource-constrained embedded devices and the Internet of Things. It provides a lightweight, event-driven kernel that enables multitasking and low-power wireless network connectivity on hardware with extremely limited memory and processing power. The system distinguishes itself through a stackless threading model that allows for a blocking-style programming interface while maintaining a minimal memory footprint. It supports dynamic module and firmware management, enabling the loading and linking of relocatable binary code at runtime to update applic

30DaysofSwift is a structured educational curriculum designed to teach native mobile application development for Apple devices. It provides a collection of practical coding exercises that guide learners through the implementation of core iOS frameworks and the Swift programming language. The project focuses on mastering standard mobile design patterns and system integration tasks. It covers the creation of interactive interface components, the application of motion and transitions to user interfaces, and the management of local data persistence. Additionally, the curriculum includes exercises

Stats is a system performance monitor that tracks real-time hardware metrics and resource usage directly from the operating system menu bar. It functions as a hardware control interface, allowing users to adjust fan speeds and thermal settings to maintain optimal performance levels for computing hardware. The application distinguishes itself through kernel-level sensor polling, which retrieves telemetry by interfacing directly with low-level system drivers and power management APIs. It provides remote infrastructure oversight via a web-based telemetry dashboard, enabling users to view live pe

HAMi is a hardware orchestration and virtualization system designed to manage accelerators within Kubernetes. It functions as a device plugin that partitions physical hardware into isolated virtual slices, enabling multiple containers to share a single device through enforced memory limits and compute quotas. The project provides a virtualization manager and a heterogeneous compute scheduler that distributes tasks across diverse accelerator types. It uses packing and topology policies to optimize workload placement and allows for specific hardware targeting using unique device identifiers. T

ESPHome is a framework for creating and managing custom firmware for microcontrollers, specifically targeting ESP32 and ESP8266 architectures. It replaces the need for writing complex embedded C++ code by allowing users to define hardware behavior, pin configurations, and automation logic through simple, declarative text files. The system automatically compiles these configurations into optimized binary images, providing a streamlined path from design to deployment. The project distinguishes itself through a modular, component-based architecture that emphasizes local-first control, ensuring t

FluidX3D is a GPU-accelerated computational fluid dynamics solver and voxel-based fluid simulator. It utilizes the lattice Boltzmann method to simulate gas and liquid behavior, pressure, and velocity through an OpenCL-based hardware abstraction that supports both graphics processors and CPUs. The system specializes in multi-phase flow simulation using volume-of-fluid methods for free surface modeling and droplets. It includes a thermal simulator for modeling heat transfer and thermal convection, alongside tools for aerodynamic force analysis to calculate lift, drag, and torque on physical obj