http://www.nvidia.com/object/jetson-tk1-embedded-dev-kit.html

Apr 23's Nvidia Newsletter included an opportunity to buy a small System based on a TEGRA cpu (quad-core ARM® Cortex-A15 CPU) with 192 core nVidia GPU. I went ahead and ordered one to go with a small ARM-A9 system that I already have.

Does the project either have an interest in trying to obtain one (thinking it could be a small development platform for larger systems in the near future), or could I offer to obtain/download source code and test data to attempt to compile for the team? Based on what I've seen, it will require the new cuda 60 version.

http://www.nvidia.com/object/jetson-tk1-embedded-dev-kit.html

We've got the older Kayla, for which we had working application.

Might be able to put it out on GPUGRID, but not imminently..

Matt

It's got a single SMX at probably moderate clock speed. I'd assume performance in the range of 1/3 - 1/2 of a GT640. This will make it struggle to return short run jobs within a day. So judging by previous GPU-Grid history there's not much use for such hardware here, especially if it requires extra coding effort.

However, if you do have a good use case for such systems... might I suggest you look into using lower-end PC GPUs first? The hardware is widely available, your tool to use them are established and we regularly tell people "sorry, too slow to be used here".

MrS

---

Scanning for our furry friends since Jan 2002