Projects sharing features with OneTBB

Cpp-taskflow is a C++ task-parallelism framework and task graph scheduler designed to manage and execute complex dependency graphs of parallel tasks across CPU and GPU hardware. It provides a parallel algorithm library for high-performance implementations of reductions, sorts, pipelines, and iterations. The framework distinguishes itself through its ability to offload heavy computational workloads from a task graph to graphics processors for acceleration. It also includes a task profiling tool and a performance analysis interface for visualizing task execution flow and dependency structures t

HVM2 is a high-performance execution environment for pure functional programs, implemented as a systems-level runtime in Rust. It functions as a massively parallel functional runtime that uses interaction combinators to achieve automatic parallelism across multi-core CPUs and GPUs. The project distinguishes itself by using a graph-rewriting computational model to execute programs via local reduction rules, which eliminates the need for manual locks or atomic operations. It employs beta-optimal reduction and lazy evaluation to optimize higher-order functions and eliminate redundant computation

Leaf is a game server framework written in Go designed for building multiplayer game backends. It provides a modular backend architecture that organizes server logic into independent modules and includes a concurrent task scheduler for managing ordered, delayed, or recurring functions. The framework features a TCP and WebSocket server that manages simultaneous connections through a single interface. It incorporates a message router capable of decoding Protobuf and JSON data to map incoming network packets to specific internal server modules. The system includes capabilities for multi-protoco

Concurrent Ruby is a comprehensive concurrency toolkit for the Ruby language that provides thread-safe data structures, synchronization primitives, and asynchronous execution patterns. It implements core concurrency abstractions including an actor model framework where isolated actors communicate through asynchronous message passing, a future and promise system for composing non-blocking operations, and thread pool executors that manage reusable worker threads for concurrent task execution. The library distinguishes itself through a broad set of coordination mechanisms that go beyond basic th

This project is an educational resource designed to help developers master concurrent execution and synchronization patterns in Go. It provides a structured collection of hands-on coding exercises and test-driven challenges that focus on the practical implementation of multi-threaded software engineering practices. The repository emphasizes the core mechanisms of Go concurrency, including channel-based communication, mutex locking, and lifecycle coordination. It covers essential patterns such as managing background tasks, implementing graceful service shutdowns, and enforcing rate limits or e

This project is a comprehensive software fuzzing knowledge base and technical guide designed for discovering software bugs and vulnerabilities. It serves as a resource for implementing coverage-guided, structure-aware, and hybrid fuzzing across various targets, including compiled binaries and hardware kernels. The resource provides specialized guidance on using grammars and defined data formats to generate syntactically valid inputs for complex APIs. It also details methods for combining grey-box fuzzing with symbolic execution to reach deep execution paths and utilizes binary instrumentation

This project is a comprehensive educational resource and programming course covering C++ language semantics and features from C++03 through C++26. It provides structured tutorials and technical guides focused on modern C++ development. The material offers specialized instruction on template metaprogramming, including the use of type traits and compile-time computations. It features detailed guides on concurrency and parallelism for multi-core execution, as well as a reference for software design applying SOLID principles and RAII. Additionally, it covers build performance optimization to redu

This project is a structured Rust programming curriculum and systems programming course designed to take learners from beginner to expert levels. It provides a comprehensive set of training materials focused on mastering the core syntax, idioms, and technical foundations of the Rust language. The project features a specialized language transition framework that maps concepts from C++, managed languages, and dynamic typing to Rust idioms. This allows developers from different ecosystems to translate architectural patterns and memory models into idiomatic Rust. The training covers a broad rang

Thrust is a heterogeneous computing library and C++ template library that provides a collection of high-level templates for executing data-parallel operations. It functions as a parallel algorithms library designed to work across different hardware backends, including multicore CPUs and NVIDIA GPU hardware. The framework utilizes a header-only implementation and a generic-programming policy interface to abstract the differences between CPU and GPU memory and execution models. It employs an iterator-based data abstraction to provide a uniform interface for accessing elements across host RAM an

ThreadPool is a C++ thread management library designed to execute asynchronous tasks using a fixed number of background worker threads. It functions as a concurrent task executor that reduces the overhead associated with the repeated creation and destruction of threads. The library utilizes a synchronized queue to distribute workloads across multiple CPU cores and employs variadic templates to accept any callable function with arbitrary arguments. The system manages concurrency through mutex-protected shared state and condition-variable signaling to wake idle threads. It also provides a mech

Bend is a high-level parallel programming language and compiler designed to execute code across multi-core CPUs and GPUs automatically. By translating functional source code into a graph-based intermediate representation, it enables massive parallel execution without requiring manual management of threads, locks, or atomic operations. The runtime operates as an interaction net engine, where computations are represented as networks of nodes that reduce through local rewriting rules. This model utilizes a work-stealing scheduler to distribute tasks across thousands of hardware threads, ensuring

Rayon is a data parallelism library for Rust that provides a framework for converting sequential computations into parallel operations. It enables the transformation of standard data structures and loops into parallel iterators, allowing workloads to be distributed across multiple processor cores. By utilizing a work-stealing scheduler, the library dynamically balances tasks to maximize throughput and minimize execution time. The library distinguishes itself through its focus on safe, scoped task synchronization, which ensures that all spawned operations complete before a scope exits to preve

Parallel is a Ruby library and multi-process execution framework designed to accelerate CPU-intensive operations. It functions as a parallel job orchestrator and concurrent task runner that enables the execution of code across multiple processes or threads. The project distinguishes itself through secure inter-process communication, utilizing signed data serialization to prevent the injection of forged payloads between parent and child processes. It further differentiates its worker management by assigning unique identifiers to individual processes to prevent collisions when accessing shared

Thrust is a C++ parallel algorithms library that provides a suite of standard-library-inspired interfaces for execution on multi-core and accelerator hardware. It serves as a CUDA-accelerated data library and a generic parallel programming interface designed to enable high-performance data processing across GPUs and CPUs. The project implements a portable abstraction layer that allows for heterogeneous computing workflows, enabling the same core algorithm logic to run on different hardware accelerators. This is achieved through a generic programming policy design and a backend-agnostic execut

LumixEngine is a high-performance C++ 3D game engine designed for building interactive 3D applications. It is built on a data-oriented component system that organizes objects in contiguous memory blocks to maximize CPU cache performance. The engine features a dynamic binary plugin architecture for loading external modules at runtime and an embedded scripting virtual machine that exposes internal logic for external control without recompilation. Computational workloads are managed via a task-based parallel execution model that distributes jobs across multiple processor cores. The framework in

This repository is a comprehensive collection of instructional guides and practical examples for Python development, focusing on machine learning, data science, and web scraping. It provides implementations for neural networks, reinforcement learning algorithms, and deep learning architectures using PyTorch, alongside detailed manuals for scientific computing and data visualization. The project distinguishes itself by offering specialized tutorials on concurrent programming to optimize CPU performance and guides for setting up Linux development environments. It covers the implementation of ad

statsforecast is a high-performance statistical time series forecasting library designed to generate point forecasts and prediction intervals. It functions as a distributed time series framework that utilizes a C-based forecasting engine and an automated model selector to identify and fit the optimal statistical model for every unique series in a dataset. The system also includes a time series anomaly detector to identify unusual data points by comparing observed values against probabilistic forecast intervals. The project is distinguished by its ability to handle massive-scale parallel forec

Arrow is a functional programming library for Kotlin that provides tools for implementing data-oriented programming patterns. It serves as a framework for typed error handling, a concurrency toolkit, and a library for the manipulation of immutable data. The project distinguishes itself through specialized capabilities for managing application failures using explicit types instead of exceptions and implementing resilience patterns such as circuit breakers and retry policies for distributed services. It also provides optics to update and query deeply nested immutable data structures without man

Lefthook is a Git hook manager and workflow automator that uses a configuration-driven approach to manage scripts triggered by version control events. It functions as a parallel task runner, executing multiple scripts simultaneously to reduce the time required for pre-commit or pre-push checks. The project provides a containerized hook runner to ensure consistent dependencies and toolsets across different developer machines. It also supports monorepo orchestration by executing scripts within specific subdirectories and managing complex project structures. The system includes capabilities for

Moon is a monorepo build system and task runner designed to orchestrate complex projects with multiple packages. It functions as a dependency graph orchestrator that executes build targets in topological order and utilizes input hashing to cache results and skip redundant work. The project features a polyglot toolchain manager that automates the installation and versioning of language runtimes and CLI tools to ensure environment consistency. It also includes a plugin framework based on WebAssembly, allowing developers to extend build logic and toolchain behavior using any supported language.

This project is a comprehensive collection of reference materials, including a language cheatsheet, a standard library reference, and a concurrency reference. It serves as a guide to modern C++ development, focusing on language syntax, standard library utilities, and template metaprogramming patterns. The repository provides specific guidance on template metaprogramming through a dedicated guide covering compile-time evaluation, type deduction, and variadic template execution. The materials cover a broad range of capabilities, including asynchronous programming, memory management, and system

BLAKE3 is a high-performance implementation of the BLAKE3 cryptographic hash algorithm used for calculating secure data digests and fingerprints. It functions as a parallel cryptographic hash tool that distributes workloads across multiple processor threads to process large datasets rapidly. The project provides specialized tools for keyed hashing and the generation of message authentication codes. It also includes functionality for cryptographic key derivation, allowing the creation of unique secret sub-keys from a master key and context strings. The implementation supports data integrity v

Async-raft is an asynchronous consensus framework built on Rust for coordinating replicated state machines across distributed nodes. The library implements a leader-based consensus algorithm to ensure data consistency and fault tolerance, managing inter-node communication, log replication, and automated snapshot creation. The framework supports dynamic cluster topology modifications at runtime, allowing nodes to be added or removed without downtime through intermediate configuration phases. It handles log replication through batched and pipelined streaming with congestion control, alongside

Mezzano is a self-hosted operating system written entirely in Common Lisp. It employs a language-integrated kernel architecture where both the kernel and user-space applications execute within a single, unified high-level language runtime. The system is designed for both bare-metal environments, booting from physical external media, and as a guest operating system within virtual machine software. It implements symmetric multiprocessing to distribute computational workloads across multiple CPU cores. The environment includes capabilities for automated memory recovery via generational garbage

qsv is a high-performance command line toolkit for querying, transforming, and analyzing comma-separated value files. It functions as a data wrangling interface and a tabular data profiler, featuring a query engine capable of executing SQL statements and joins directly on flat files without requiring a database. The project is distinguished by its ability to process massive datasets that exceed available system memory. This is achieved through disk-based external memory processing, including multithreaded merge sorting, on-disk hash tables for deduplication, and lightweight file indexing for

Joblib is a suite of utilities for parallelizing computational workloads and optimizing the storage of large numerical datasets and function results. It functions as a parallel computing library and multiprocessing wrapper that distributes function execution across multiple CPU cores to accelerate independent tasks and computational loops. The project provides a disk caching framework that persists expensive function outputs to the filesystem, re-evaluating them only when input arguments change. It further specializes in the serialization of large numerical arrays, utilizing efficient compres