How tremendous is it? On that page, I find this data:
https://github.com/BVLC/caffe/pull/439
"
These are setup details:
* Desktop: CPU i7-4770 (Haswell), 3.5 GHz , DRAM - 16 GB; GPU K20.
* Ubuntu 12.04; gcc 4.7.3; MKL 11.1.
Test:: imagenet, 100 train iteration (batch = 256).
* GPU: time= 260 sec / memory = 0.8 GB
* CPU: time= 752 sec / memory = 3.5 GiB //Memory data is from system
monitor.
"
This does not look so tremendous to me. What kind of speed difference do
you get for Go networks?
Rémi
On 03/01/2016 06:19 PM, Petr Baudis wrote:
On Tue, Mar 01, 2016 at 09:14:39AM -0800, David Fotland wrote:
Very interesting, but it should also mention Aya.
I'm working on this as well, but I haven’t bought any hardware yet. My goal is
not to get 7 dan on expensive hardware, but to get as much strength as I can on
standard PC hardware. I'll be looking at much smaller nets, that don’t need a
GPU to run. I'll have to buy a GPU for training.
But I think most people who play Go are also fans of computer games that
often do use GPUs. :-) Of course, it's something totally different from
NVidia Keplers, but still the step up from a CPU is tremendous.
Petr Baudis
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