A bleeding-edge, lock-free, wait-free, continuation-stealing tasking library built on C++20's coroutines
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Updated
Feb 16, 2026 - C++
A bleeding-edge, lock-free, wait-free, continuation-stealing tasking library built on C++20's coroutines
User-friendly Scheduler for sub-node tasks for HPC systems
C++20 concurrency framework with no compromises. Excellent performance, powerful features, and simple syntax.
A simple and fast minimalistic header-only library allowing to run async tasks and execute task graphs.
Resource-based, Declarative task-Graphs for Parallel, Event-driven Scheduling 🍇
Code for the paper "Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos" [NeurIPS (spotlight), 2024]
HEFT and CPOP task scheduling algorithms
Plan-V4D: A task graph engine with support for video/graphics in conjuction with computer vision (using OpenCV). It features 2D vector graphics using NanoVG, bgfx for 3D and a GUI based on ImGui. It (on supported systems) provides OpenCL/OpenGL and OpenCL/VAAPI interoperability and uses hardware acceleration whenever possible
Inspector Graphetto - Gradle task execution graph inspection and visualization plugin.
Python library providing a collection of functions realizing common computer vision functionality, based on OpenCV and NumPy.
genetic algorithm on task scheduling problem
An Inference Operating System that reduces unnecessary LLM calls by structuring intelligence before scaling it.
Adaptive persistency-based mechanism for Dispatcher task graphs
Header only C++ lib for collaborative CPU-GPU task graph execution
[WIP][onHold] Make computer lazy and build a dynamic task graph for your project!
Implementing a thread pool to run with a hardware-optimized number of workers
Read-only task graph visualizer for Beads projects — MCP App for Claude Desktop and VS Code Copilot
GoalWeaver is a compact, production-grade toolkit for agentic AI. It turns high-level objectives into a DAG of goals, schedules them adaptively, routes each goal to the right agent, and persists progress so you can visualize the run in real time.
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