Hardware Accelerator Architecture

Heterogeneous GPU Systems & Accelerator Compilers

Native Zero-GC memory regions, lock-free DMA streaming, and multi-target compilation for AMD ROCm, NVIDIA PTX, and Vulkan SPIR-V.

1. Architecture Overview

Unlike CPU-centric languages that attempt to run heavy runtime garbage collection or rigid borrow-checking lifetimes across thousands of GPU hardware warps, Nyx maps physical GPU memory hierarchies directly into compile-time Lexical Region Frames.

Hardware Tier	Physical Subsystem	Nyx Region Invariant	Latency & Overhead
Global Device VRAM	HBM3 / GDDR6 (16GB–192GB)	`@gpu_global` Region Slab	Zero-copy DMA Buffer Handoff
Shared Scratchpad SRAM	On-chip SRAM (64KB per CU)	`@gpu_shared` Frame	Single-cycle \(O(1)\) bulk reset
SIMD Vector Registers	Hardware Warp Register File	`@gpu_warp` Register Ring	Zero memory transaction stall

2. Native Nyx GPU Kernel Syntax

Write host orchestration and GPU SIMT kernels within a single type-safe language:

region host_frame {
    var weights = load_model_weights("llama3.bin"); // Loaded in host region
    
    // Dispatched directly to GPU with hardware capability tokens
    gpu_kernel<1024, 64>(move weights) {
        var tid = thread_id();
        var shared_sram = alloc_region_shared<f32>(256);
        shared_sram[tid] = compute_fused_attention(tid);
    };
} // Entire host & device temporary memory unmapped in single cycle

3. Multi-Target Accelerator Backends

AMDGPU / ROCm: Native LLVM emission targeting AMD Instinct MI300X, Radeon RX 7900 series.
NVIDIA PTX: Parallel Thread Execution ISA targeting H100, A100, and RTX 4090.
Vulkan SPIR-V: Cross-platform compute shaders for mobile, embedded, and desktop GPUs.
Apple Metal: Direct MSL translation for Apple Silicon M1/M2/M3/M4 unified memory.

Read Formal Research Paper → All Research Papers