Arya PD@Aryapd021

ROCm Navigator is an enterprise-grade, autonomous multi-agent platform engineered to break proprietary software lock-in by automating the migration of GPU applications from NVIDIA CUDA to open-source AMD ROCm (HIP). While traditional conversion tools (like regex-based hipify) frequently break on complex unified memory pointers, inline assembly, or cooperative warp-level primitives, ROCm Navigator treats codebase migration as a closed-loop optimization problem. The platform orchestrates a collaborative mesh of specialized, asynchronous AI agents to achieve drop-in runtime parity on AMD Instinct™ Accelerators (such as the CDNA3/MI300X series): Core Scanner Agent: Uses a Tree-Sitter & NetworkX Abstract Syntax Tree (AST) parser to build a structural graph of the codebase, pinpointing hardware-specific CUDA functions and migration bottlenecks. LLM Synthesis Agent: Leverages LangGraph workflows and fine-tuned Gemma LLMs to generate high-performance HIP code translations, preserving memory semantics and kernel-level configurations. Security Audit Agent: Scans translated assets post-migration for configuration vulnerabilities, secrets leakage, or potential security vulnerabilities. Sandbox Runtime Agent: Spins up hardware-isolated Docker compilation and testing containers. It attempts to compile the translated HIP code, feeds compile errors directly back into the LLM synthesis loop for automated self-correction, and benchmarks the resulting binaries on target AMD GPUs. The entire ecosystem is monitored through a sleek Next.js dashboard utilizing a responsive, glassmorphic dark-mode design. Through the interface, users can visualize real-time agent telemetry, review interactive side-by-side git diffs of the code translation, track compilation feedback, and monitor GPU benchmarking performance. By turning manual migration months into automated minutes, ROCm Navigator bridges the gap between raw syntax porting and instant operational deployment on AMD hardware.

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