aitbc/docs/archive/migration_examples/MIGRATION_CHECKLIST.md

GPU Acceleration Migration Checklist

✅ Pre-Migration Preparation

• Review existing CUDA-specific code
• Identify all files that import CUDA modules
• Document current CUDA usage patterns
• Create backup of existing code
• Test current functionality

✅ Code Migration

Import Statements

• Replace from high_performance_cuda_accelerator import ... with from gpu_acceleration import ...
• Replace from fastapi_cuda_zk_api import ... with from gpu_acceleration import ...
• Update all CUDA-specific imports

Function Calls

• Replace accelerator.field_add_cuda() with gpu.field_add()
• Replace accelerator.field_mul_cuda() with gpu.field_mul()
• Replace accelerator.multi_scalar_mul_cuda() with gpu.multi_scalar_mul()
• Update all CUDA-specific function calls

Initialization

• Replace HighPerformanceCUDAZKAccelerator() with GPUAccelerationManager()
• Replace ProductionCUDAZKAPI() with create_gpu_manager()
• Add proper error handling for backend initialization

Error Handling

• Add fallback handling for GPU failures
• Update error messages to be backend-agnostic
• Add backend information to error responses

✅ Testing

Unit Tests

• Update unit tests to use new interface
• Test backend auto-detection
• Test fallback to CPU
• Test performance regression

Integration Tests

• Test API endpoints with new backend
• Test multi-backend scenarios
• Test configuration options
• Test error handling

Performance Tests

• Benchmark new vs old implementation
• Test performance with different backends
• Verify no significant performance regression
• Test memory usage

✅ Documentation

Code Documentation

• Update docstrings to be backend-agnostic
• Add examples for new interface
• Document configuration options
• Update error handling documentation

API Documentation

• Update API docs to reflect backend flexibility
• Add backend information endpoints
• Update performance monitoring docs
• Document migration process

User Documentation

• Update user guides with new examples
• Document backend selection options
• Add troubleshooting guide
• Update installation instructions

✅ Deployment

Configuration

• Update deployment scripts
• Add backend selection environment variables
• Update monitoring for new metrics
• Test deployment with different backends

Monitoring

• Update monitoring to track backend usage
• Add alerts for backend failures
• Monitor performance metrics
• Track fallback usage

Rollback Plan

• Document rollback procedure
• Test rollback process
• Prepare backup deployment
• Create rollback triggers

✅ Validation

Functional Validation

• All existing functionality works
• New backend features work correctly
• Error handling works as expected
• Performance is acceptable

Security Validation

• No new security vulnerabilities
• Backend isolation works correctly
• Input validation still works
• Error messages don't leak information

Performance Validation

• Performance meets requirements
• Memory usage is acceptable
• Scalability is maintained
• Resource utilization is optimal