Sparse arrays #464

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1. nouiz commented on Jun 26, 2017

   

   nouiz

   on Jun 26, 2017 via email

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   I think it also find here to wrap cusparse/clsparse. It is not in the short term plan. making sparse computation fast on GPU is pretty hard. contribution welcome.

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   On Mon, Jun 26, 2017 at 9:44 AM jakirkham ***@***.***> wrote: Given this is a general purpose GPU array library, was wondering if sparse arrays were being considered. Admittedly this is a pretty broad topic. Though am generally interested in thoughts on this topic. At least for me initially, am interested in leveraging cuSPARSE <http://docs.nvidia.com/cuda/cusparse/index.html> and clSPARSE <https://github.com/clMathLibraries/clSPARSE>. Though having some object models, basic operations, and conversion back and forth between sparse and dense arrays in libgpuarray/pygpu would be really helpful. — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#464>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AALC-045bqsU0m5B-EQKbVpNVCyxhgkNks5sH7W2gaJpZM4OFVJy> .
2. abergeron commented on Jun 26, 2017

   

   abergeron

   on Jun 26, 2017

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   I would say this is not even on the mid-term plans. However, if someone where to do it in a way that fits the library, I would not say no.