Dear Daphne,
TL;DR: NEST does not support GPUs and can easily run simulations of up to 50k neurons with realistic numbers of synapses on a single computer with only CPUs.
It is a common misconception that GPUs will make everything faster. In fact it might make things much slower for a large class of problems.
For the simulation of strongly coupled spiking neuronal networks using point neuron model, the time to exchange events usually exceeds the time to update the individual neurons by far. As GPUs are foremost good in situations where you can run many operations on the same data and don't read/write from/to memory a lot, they usually don't help here.
If you are interested in running NEST on a cloud service, you might want to look at the Docker image for NEST: https://github.com/nest/nest-docker/
I suggest to start off by writing and running your simulation on your local computer using threads and possibly MPI as described in https://www.nest-simulator.org/parallel-computing/. https://nest-simulator.readthedocs.io/en/latest/examples/ has heaps of examples for all kinds of simulations. If this approach gets too slow, you can move to computer clusters, supercomputers and cloud services.
Cheers, Jochen!
On 02.02.20 18:45, Daphne Cornelisse wrote:
Hi NEST-team,
I would like to run a simulation of > 1000 neurons, and to make my computing time faster I am looking into how to use parallel computing with NEST.
I have seen this https://www.nest-simulator.org/parallel-computing/ page but I can't seem to find anything about using the cloud (e.g. google cloud, colab etc.) and the use of GPU's. I am quite new to this so it could be I missed something.
- Is it possible to use a GPU for the nest simulations?
- Are the some resources I could learn from?
Thank you!
Best, Daphne
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-- Dr. Jochen Martin Eppler Phone: +49(2461)61-96653 ---------------------------------- Simulation Laboratory Neuroscience Jülich Supercomputing Centre Institute for Advanced Simulation
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