That's pretty awesome. I didn't think it'd approach the 100x barrier. That's shocking.
s. On Apr 26, 2016 9:55 PM, "David Fotland" <fotl...@smart-games.com> wrote: > I have my deep neural net training setup working, and it's working so well > I > want to share. I already had Caffe running on my desktop machine (4 core > i7) without a GPU, with inputs similar to AlphaGo generated by Many Faces > into an LMDB database. I trained a few small nets for a day each to get > some feel for it. > > I bought an Alienware Area 51 from Dell, with two GTX 980 TI GPUs, 16 GB of > memory, and 2 TB of disk. I set it up to dual boot Ubuntu 14.04, which > made > it trivial to get the latest caffe up and running with CUDNN. 2 TB of disk > is not enough. I'll have to add another drive. > > I expected something like 20x speedup on training, but I was shocked by > what > I actually got. > > On my desktop, the Caffe MNIST sample took 27 minutes to complete. On the > new machine it was 22 seconds. 73x faster. > > My simple network has 42 input planes, and 4 layers of 48 filters each. > Training runs about 100x faster on the Alienware. Training 100k Caffe > iterations (batches) of 50 positions takes 13 minutes, rather than almost a > full day on my desktop. > > David > > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go
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