# GPU Acceleration Research for ZK Circuits

## Current GPU Hardware
- GPU: NVIDIA GeForce RTX 4060 Ti
- Memory: 16GB GDDR6
- CUDA Capability: 8.9 (Ada Lovelace architecture)

## Potential GPU-Accelerated ZK Libraries

### 1. Halo2 (Recommended)
- **Language**: Rust
- **GPU Support**: Native CUDA acceleration
- **Features**: 
  - Lookup tables for efficient constraints
  - Recursive proofs
  - Multi-party computation support
  - Production-ready for complex circuits

### 2. Arkworks
- **Language**: Rust  
- **GPU Support**: Limited, but extensible
- **Features**:
  - Modular architecture
  - Multiple proof systems (Groth16, Plonk)
  - Active ecosystem development

### 3. Plonk Variants
- **Language**: Rust/Zig
- **GPU Support**: Some implementations available
- **Features**:
  - Efficient for large circuits
  - Better constant overhead than Groth16

### 4. Custom CUDA Implementation
- **Approach**: Direct CUDA kernels for ZK operations
- **Complexity**: High development effort
- **Benefits**: Maximum performance optimization

## Implementation Strategy

### Phase 1: Research & Prototyping
1. Set up Rust development environment
2. Install Halo2 and benchmark basic operations
3. Compare performance vs current CPU implementation
4. Identify integration points with existing Circom circuits

### Phase 2: Integration
1. Create Rust bindings for existing circuits
2. Implement GPU-accelerated proof generation
3. Benchmark compilation speed improvements
4. Test with modular ML circuits

### Phase 3: Optimization
1. Fine-tune CUDA kernels for ZK operations
2. Implement batched proof generation
3. Add support for recursive proofs
4. Establish production deployment pipeline

## Expected Performance Gains
- Circuit compilation: 5-10x speedup
- Proof generation: 3-5x speedup  
- Memory efficiency: Better utilization of GPU resources
- Scalability: Support for larger, more complex circuits

## Next Steps
1. Install Rust and CUDA toolkit
2. Set up Halo2 development environment
3. Create performance baseline with current CPU implementation
4. Begin prototyping GPU-accelerated proof generation

