Archives of #Speed Ups

High Performance Python 1 from PyCon 2012 (slides, video, src)

This is the follow-on for my PyCon 2012 notes from the end post. I gave a 3.5 hour tutorial on High Performance Python 1, below I link to the slides, the video and the source code. UPDATE2 From October 2014 I’ll be training on High Performance Python and Data Science in London using Python – […]

Demoing pyCUDA at the London Financial Python User Group

On Wednesday night I jumped on a train up to London to visit the London Financial Python User Group to give a short demo of pyCUDA. I’m using CUDA heavily for my physics consultancy and I figured the finance guys would be interested in 10-1000* speed-ups for their calculations. The raw figures and the Mandelbrot […]

22,937* faster Python math using pyCUDA

I’ve just uploaded a new demo for pyCUDA, it adds a new calculation routine that straddles the numpy (C based math) and the pure-CUDA implementations. In total there are 4 variants to choose from. The speed differences are huge! Update – this Reddit thread has more details including real-world timings for two client problems […]

pyCUDA on Windows and Mac for super-fast Python math using CUDA

I’ve just started to play with pyCUDA which lets you run parallel math operations on a CUDA-compliant NVidia graphics card through Python. Update – I’ve written a High Performance Python tutorial (July 2011, 55 pages) which covers pyCUDA and other technologies, you might find it useful. CUDA stands for Compute Unified Device Architecture – it […]