optimize-for-gpu

Optimize scientific Python workloads for GPUs while preserving correctness and retaining changes only when end-to-end benchmarks demonstrate improvement.

When to use it

Use when numerical or scientific Python code needs acceleration, including large-array workloads and GPU bottlenecks.

Give it scientific Python code to optimize; it implements and validates GPU changes, retaining them only when representative benchmarks improve.