NVIDIA

I was fortunate enough to be invited to participate in a debate raising money for Farset Labs, a cause obviously close to my cold cynical heart. Will GenAI Revolutionise Our Lives For The Good In The Next 5 Years is top tier troll-bait from Garth and Art, and I’m very grateful to have shared the stage with the 5 other speakers. Even the lanky english one. I was particularly impressed by my teammates in their very human-led approach to this question (although everyone was great!) ...

If anyone has any interest in CUDA, or GPU/Parallel programming in general, David B. Kirk and Wen-mei Hwu’s groundbreaking “Programming Massively Parallel Processors” is a must. ** The sub-title of the book is “A Hands on Approach” and I didn’t get it until a third of the way through the book, that that’s exactly what it is. The pairing of Kirk, a NVIDIA Fellow, outgoing NVIDIA Chief Scientist and generally world-weary technologist and all round ‘hardware guru’ with Hwu, a well-heeled educator and researcher at the University of Illinois provide a practical but in-depth look at not just the pure ‘programming’ to deal with massivly parallel processing, but instead assumes that the reader can work out for instance how to do Matrix Multiplication the ‘basic’ way from looking at the NVIDIA CUDA API’s, and looks at how to take advantage of the hardware to give sometimes incredible speed increases. ...

Hopefully a super quick one (while I’m procrastinating from procrastinating). Debian Jessie is a lovely operating system until you try and do anything with it. Lots of Package deprecations etc etc etc. Anyway, I’ve got a history with GPU stuff and I’ve been playing with integrating it into some of my research, but in a bout of insanity I decided while I’m over in Liverpool (for another 4 hours) to wipe my old workstation and bring it over from Ubuntu 15.04 to Jessie (which I’ve been using on my main laptop for a while now). ...