AMDGPU Framework - Advanced Multi-Language GPU Computing Platform

🚀 Project Overview

The AMDGPU Framework is a revolutionary GPU computing platform designed to rival NVIDIA's CUDA ecosystem through innovative multi-language architecture and real-time monitoring capabilities.

Core Innovation: Live GPU Tracking with Phoenix LiveView

• Real-time GPU telemetry via Phoenix WebSockets
• Interactive kernel debugging with live performance metrics
• Multi-core visualization for AURA, Matrix, and Neuromorphic cores
• Cross-language profiling dashboard

Architecture Stack

• Phoenix LiveView Frontend: Real-time GPU monitoring dashboard
• Elixir/Phoenix Backend: NIF orchestration and WebSocket management
• Rust: High-performance kernel primitives and memory management
• Zig: Zero-cost abstractions for GPU memory operations
• Nim: Macro-based DSL for kernel code generation
• Julia: Mathematical computing with custom Python C bindings

🎯 Target Cores

AURA Cores

High-performance general compute with live telemetry

Matrix Cores

Linear algebra acceleration with real-time profiling

Neuromorphic Cores

Neural network optimization with adaptive monitoring

🏗️ Repository Structure

AMD-Kernals/
├── docs/                    # Comprehensive PRDs and technical documentation
├── src/
│   ├── phoenix_web/         # LiveView dashboard and WebSocket handlers  
│   ├── elixir_nifs/        # NIF modules for each language bridge
│   ├── rust_core/          # Rust kernel implementations
│   ├── zig_memory/         # Zig memory management primitives
│   ├── nim_dsl/            # Nim DSL for kernel generation
│   └── julia_math/         # Julia mathematical kernels
├── examples/               # Language-specific kernel examples
├── benchmarks/            # Performance testing suite
└── tools/                 # Development and profiling tools

🔧 Getting Started

[Implementation details to follow in PRDs]