cuSignal - GPU Accelerating SciPy Signal with Numba and CuPy |SciPy 2020| Adam Thompson

SciPy Signal is commonly used to build signal processing workflows and achieves machine level speed for common operations like filtering and spectrum estimation. cuSignal GPU accelerates the SciPy Signal library by leveraging the GPU PyData ecosystem libraries like Numba, CuPy, and the __cuda_array_interface__ to provide 10-100x speedup over CPU with the same API. In this talk, we discuss the motivations and background behind cuSignal, including how to build GPU accelerated Python libraries and handling zero-copy memory between CPU and GPU.

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10 to the 8. Isn't it? 1e8 gives me 100 million in jupyter.