#!/usr/bin/env python3
# SPDX-License-Identifier: AGPL-3.0-or-later
"""
Advanced GPU Acceleration Demo: High-Performance CUDA Computing

This example demonstrates GPU acceleration capabilities including CUDA kernel usage,
memory optimization, and performance benchmarking for large-scale computations.

Usage:
    python gpu_acceleration_advanced_demo.py [--benchmark] [--memory-test]

Copyright (c) 2025 Mohamed Aboelnasr
Licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0-or-later)
"""

import numpy as np
from ManipulaPy.cuda_kernels import check_cuda_availability

def main():
    """Demonstrate advanced GPU acceleration operations."""
    print("=== ManipulaPy: Advanced GPU Acceleration Demo ===")
    
    # TODO: Implement GPU acceleration demonstration
    # - CUDA kernel usage
    # - Memory optimization
    # - Performance benchmarking
    print("🚀 Advanced GPU acceleration functionality demonstration")

if __name__ == "__main__":
    main()
