In a previous post, we described applications of graphic processing units (GPUs) to neuromorphic computing. GPUs are a good fit for simulating neurons, and recent industry trends will most likely increase the appeal of this computing substrate. However, GPUs may not be the only player in attracting the attention of neural modelers. A Lexington (MA) startup company, Adapteva, has recently introduced a chip that looks even more appealing than GPUs. Read the rest of this entry »
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“Smart” phones, finally… the Adapteva chip
| June 17, 2011 -
AMD’s gamble
| June 6, 2011
AMD is gambling its future on its Fusion, AMD series of Accelerated Processing Unit (APU), whose adoption (or lack of) in mainstream computing will most likely determine the fate of the company. GPGPU computing will play a central role in this. Wait... what do neurons have to do with this? Read the rest of this entry » -
Biologically Realistic Neural Models on GPU
| October 27, 2010
By Anatoli Gorchetchnikov, Heather Ames, Massimiliano Versace.The last post on GPU made me think of a project Anatoli Gorchetchnikov, Heather Ames and myself embarked on in 2006 when we got really interested in general purpose computing on graphic processing cards. At the time, there was no CUDA or OpenGL available: programming GPUs was really tough. But we tried, with some very good results, to port some of the models we used on GPUs. Here is how we did it. Read the rest of this entry »
Comments: Leave a commentCategories: Computing, Neurobiology -
Graphic processing units: beyond video-games
| October 22, 2010
A recent poster by Los Alamos National Laboratory researchers led by Steven Brumby, titled "Visual Cortex on a Chip: Large-scale, real-time functional models of mammalian visual cortex on a GPGPU", shows another interesting application of graphic processing units (GPUs) to computational neuroscience. What is GPGPU? Read the rest of this entry »
