CoreFlow: A Modern Orchestration Framework

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🚀 Why CoreFlow?

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CoreFlow is a modern, high-performance graph execution runtime designed for AI, ML, and computer vision applications. Our platform combines:

• 🔗 No-code Graph Builder: Visual, intuitive UI to build pipelines with automatic optimization
• 🤖 Cross-platform Support: Seamless deployment across ARM or x86 with unified APIs.
• ⚡ High Performance: Optimized determinstic execution for real-time processing across CPU, GPU, and specialized hardware
• 🛠️ Developer Friendly: Simple C++ API with comprehensive error handling
• 🔧 Extensible: Easy to add custom kernels and processing behaviors

Architecture

Graph-Based Execution

CoreFlow uses a graph-based execution model where:

• Graphs represent execution modeled as DAG (Directed Acyclic Graph)
• Nodes represent processing operations
• Edges define data flow between operations
• Kernels define a runnable operation or algorithm
• Targets define a collection of suppported operations

Built-in AI/ML Support

• ONNX Runtime: Deploy models using Open Neural Network Exchange
• TensorFlow Lite: Leverage Google's on-device AI framework
• Executorch: Leverage Meta's on-device AI framework
• Model Management: Easy model loading and switching

Performance Features

• Memory Management: Automatic memory optimization
• Hardware Acceleration: CPU, GPU, and specialized hardware support
• Streaming and Pipelining Support: Automatic graph runtime optimization
• Error Handling: Comprehensive error reporting and recovery

License

This project is of confidental and contains proprietary material. See the LICENSE file for more details.

🆘 Support

• Email: support@runedge.ai

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