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View Code? Open in Web Editor NEWcuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU
License: GNU General Public License v3.0
cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU
License: GNU General Public License v3.0
Hi, I'm really interested in using this method for various aspects of my research.
While running it on a gpu cluster I am receiving the following error:
cudaCheckError() failed at cuPC-S.cu:70 : invalid argument
This happens when the dataGenerator script is set to more than ~250 nodes in the graph, making me think it may be a memory issue.
This is being run on a Titan-X gpu. Any advice would be greatly appreciated.
Hi, thanks for your great work.
I notice only Gaussian CI test is used in the documentation, is kernel-based conditional indepdence test available in cu-PC?
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