Ring Kernels Documentation

Ring Kernels are a revolutionary programming model enabling persistent GPU-resident computation with actor-style message passing. This section provides comprehensive documentation for developing, deploying, and optimizing Ring Kernel applications.

Getting Started

Document	Description
Overview	Introduction to Ring Kernels and their benefits
Architecture	System architecture and design principles
Migration Guide	Migrating to the unified Ring Kernel system

Core Concepts

Document	Description
Telemetry	Real-time GPU health monitoring with <1us latency
Messaging & Telemetry	Message queue integration and telemetry patterns
MemoryPack Format	Binary serialization format for GPU messages
Compilation Pipeline	How Ring Kernels are compiled for GPU execution

Synchronization & Coordination

Document	Description
Barriers	Thread-block, grid, and warp barrier synchronization
Memory Ordering	Causal consistency and memory fence operations
Phase 3: Coordination	Multi-kernel coordination primitives
Phase 4: Temporal Causality	Hybrid Logical Clocks and advanced coordination
Health Monitoring	GPU health and failure detection

Advanced Topics

Document	Description
Advanced Programming	Complex patterns and production deployment

Examples

Document	Description
VectorAdd Example	Complete reference implementation
PageRank Example	Distributed actor implementation of PageRank

Quick Reference

Key Features:

• Zero kernel launch overhead after initial launch
• Actor-style message passing on GPU
• Sub-microsecond telemetry polling
• Cross-kernel coordination
• Hybrid Logical Clock support

Supported Backends:

• CUDA (CC 5.0+)
• Metal (Apple Silicon)
• OpenCL 1.2+
• CPU (fallback)

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Ring Kernels v0.5.0 - Production Ready