RTX 2080 TI GPU Acceleration for Deep Learning Toolbox?
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Hi,
We have one laptob and one workstation in our lab. Laptop has nvidia quadro p600 and workstation has nvidia rtx2080 ti gpu on it. I know that Matlab 2018b deep learning toolbox implements single precision operations for GPU by default. Processing power is 11 750.40 GFLOPS for RTX2080 ti and 1195 GFLOPS for Quadro P600 (defined in here) for single precision. But training time of quadro p600 of is 4x faster than rtx2080 on deep learning tooolbox for the same program. I think that rtx2080ti shold be much and much faster than quadro p600. I'm really confused. How could I accelerate training time for RTX2080 ti? Which Matlab settings must I change for this?
Would you give me advices please?
Best Regards...
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