GeNN Team

38 posts

GeNN Team

GeNN Team

@GeNNTeam

GeNN is a GPU enhanced Neuronal Network simulation environment based on NVIDIA CUDA technology.

United Kingdom Katılım Aralık 2014
24 Takip Edilen144 Takipçiler
GeNN Team retweetledi
Thomas Nowotny
Thomas Nowotny@DrTNowotny·
Happy to see this coming out. It is the first paper on a more AI-oriented direction we are taking with GeNN. More to come soon! @SussexEASy @SussexUni @GeNNTeam
Neuromorphic Computing and Engineering@IOPneuromorphic

First article from our Focus Issue on Machine Learning for Neuromorphic Engineering now available as an Accepted Manuscript: doi.org/10.1088/2634-4…. mlGeNN: accelerating SNN inference using GPU-enabled neural networks by @jamesturner246 @neworderofjamie @ajaysub110 @DrTNowotny

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GeNN Team retweetledi
Jamie Knight
Jamie Knight@neworderofjamie·
Over the last year I've been adding support for OpenCL to @GeNNTeam. Just merged an AMD-specific fix into github.com/genn-team/genn and RX 5700 XT now performs well. However, we're lacking other AMD hardware to test - any @neuromorphs @INCForg able to spare an hour or so and help?
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GeNN Team retweetledi
Jamie Knight
Jamie Knight@neworderofjamie·
If you want to see how the @GeNNTeam sausage is made, come along for our developer talk! Expect demos, live-coding and thoughts on wrangling @jenkinsci for GPU integration testing.
Ankur Sinha@sanjay_ankur

. @neworderofjamie and @DrTNowotny will discuss the #GeNN simulation framework in the next @INCForg @CNSorg Software WG #DevSession on March 9th at 1700 UTC. More information here: ocns.github.io/SoftwareWG/202… CC: @GeNNTeam #ComputationalNeuroscience #GPU #OpenCL #CUDA

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Thomas Nowotny
Thomas Nowotny@DrTNowotny·
It's finally officially out! If you are interested in larger scale simulations and are used to brian, brian2genn can be a game changer. Also works on embedded devices like NVIDIA Jetson for robotics. @SussexUni @SussexEASy @BrainsOnBoard @CNSorg
Dan Goodman@neuralreckoning

Did you know you can write your simulation with @briansimulator and run it up to 400x faster on GPU with GeNN using brian2genn? Check out our new paper with @MarcelStimberg and @DrTNowotny. nature.com/articles/s4159…

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GeNN Team
GeNN Team@GeNNTeam·
GeNN 3.0.0 is here! The new version has a refreshed API & automatic testing for an even more stable GeNN experience. @drtnowotny @SussexEASy
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