Giter VIP home page Giter VIP logo

Comments (5)

denisalevi avatar denisalevi commented on June 11, 2024

In the synapses kernel we have a thread <-> synapse correspondence, where in heterogeneous delay mode the synapses are sorted by delays and in homogeneous delay mode by synapse IDs. Therefore the writes to postsynaptic neurons will very likely not be coalesced (depending on the synapse creation, e.g. for all to all connections synapse IDs might already be sorted by postsynaptic neuron IDs). Sorting the synapses by postsynaptic neuron IDs (in heterogeneous delay mode only within the same delay) could increase coalescing.

EDIT: probably only useful to coalescing if a pre neuron is connected to e.g. all post neurons. So user preferences make sense here.

from brian2cuda.

moritzaugustin avatar moritzaugustin commented on June 11, 2024

heterog mode:

  • bundle queues: simply sort bundles in target mode by target neurons, in synapse mode by synapse ids
  • synapse queues: we would have to sort the spikequeues in each timestep and we will put this to wishlist (if useful at all)

homog mode

  • sort connectivity matrix w.r.t. post neuron in target mode and w.r.t. synapse id in synapse mode

ensure that performance with standard examples does not degrade

from brian2cuda.

denisalevi avatar denisalevi commented on June 11, 2024

Also check again what I wrote in #30

from brian2cuda.

denisalevi avatar denisalevi commented on June 11, 2024

Special case to take into account:

If there is only one synaptic pathway direction (either pre->post or post->pre, not both), then all synapses should just be relabeled once they are sorted into the connectivity matrix, such that the synapse IDs are consecutive in the connectivity matrix. This makes the connectivity matrix obsolete an lets all synapse variable automatically be stored in the connectivity matrix structure, allowing coalesced memory accesses. If there are both synaptic pathway directions, variables can only be sorted for one of them (Brette2012 review). In that case, the graph-cut idea might be interesting.

This all should in the best case already be happening during synapse creation (if possible), by changing the looping order (e.g. first over pre then over post neurons to sort by post per synapses group, as is likely happening by default). Should be tackled together with #177 .

from brian2cuda.

denisalevi avatar denisalevi commented on June 11, 2024

Any sorting of synaptic variables would require some mechanism for sorting variables (and potentially monitor recordings) back into the format expected on Python side, see my comment in #271.

from brian2cuda.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.