Exploit your GPU power with PyCUDA (and friends)
summary
Overview of tools and concrete results: uses CUDA via Python bindings (PyCUDA/SourceModule) to JIT-compile kernels, demonstrates a simple vector add shows no speedup because memory transfers dominate, and explains driver helpers that auto-transfer and manage GPU memory. Covers Copperhead (Python subset, map/zip, strong typing quirks) and PyCUDA meta‑programming. Cites a production case of 160x speedup example after months of tuning and points out the persistent PCIe transfer bottleneck as the limiter for many workloads.
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chapters (4)
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