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You can use Caffe: open source (BSD 2-Clause license) gratis Easy to compile on Linux/OS X, harder on Windows GPU support for Nvidia on CPU, makes use of multithreading use the backpropagation algorithm allows the user to define neural network using config files MLP, CNN but no RNN yet written in C++ but Python and Matlab binds available FYI: Script to ...


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I don't think there is any. The best you can do is just copy the kernel and loop it for the block size you are running on CPU.


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I use iStat Menu Meters for this on Mac OS: I do a lot of 3D work and renders, which can tax my system pretty heavily so I keep track of CPU, GPU, & RAM. Does what it says on the tin - super useful, small footprint and fast. Highly recommend - no I'm in no way affiliated - just a longtime user. https://bjango.com/mac/istatmenus/


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You can use the Python package theanets: open source (MIT License) gratis it's a wrapper around Theano (the latter can use your GPU if Nvidia, AMD is not fully supported yet). on CPU, does not make use of multithreading Easy to compile on Linux/OS X, harder on Windows MLP, RNN The following code shows how easy it is to specify an ANN and train it: import ...


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Look at these two: http://www.cryptohaze.com/gpurainbowtables.php http://project-rainbowcrack.com/ The first one is a king of password cracking framework, using which you can implement rainbow tables generation with GPU acceleration for your chosen algorithm using "bricks" in C++.


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