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python Programming Glossary: gpu

python passlib: what is the best value for “rounds”

http://stackoverflow.com/questions/13545677/python-passlib-what-is-the-best-value-for-rounds

of thumb mid 2012 for attacking PBKDF2 HMAC SHA512 using GPUs is days dollars 2 n 31 rounds days is the number of days before.. of entropy and the attacker has a 2000 system with a good GPU then at 30000 rounds they will need 30 days 2 32 31 30000 2000..

Unit Conversion in Python

http://stackoverflow.com/questions/2125076/unit-conversion-in-python

system in the python bindings for our OpenMM system for GPU accelerated molecular mechanics. You can browse the svn repository..

Fastest 2D convolution or image filter in Python

http://stackoverflow.com/questions/5710842/fastest-2d-convolution-or-image-filter-in-python

PyCUDA is right out. It's not fair to use your custom GPU hardware. python optimization numpy python imaging library..

Python: Making numpy default to float32

http://stackoverflow.com/questions/5721831/python-making-numpy-default-to-float32

use the ndarray.astype method before passing it to your GPU code I take it this is what the question pertains to . If it.. it this is what the question pertains to . If it is the GPU case you are really worried about I favor the latter it can..

Python Multiprocessing with PyCUDA

http://stackoverflow.com/questions/5904872/python-multiprocessing-with-pycuda

architecture is holding me back What I've set up is a GPU class with functions that perform operations on the GPU strange.. a GPU class with functions that perform operations on the GPU strange that . These operations are of the style for iteration.. in Python shameless rep whoring I know . The CUDA multi GPU model is pretty straightforward pre 4.0 each GPU has its own..

Python GPU programming

http://stackoverflow.com/questions/5957554/python-gpu-programming

GPU programming I am currently working on a project in python and.. on a project in python and I would like to make use of the GPU for some calculations. At first glance it seems like there are.. right to me. Am I indeed missing something Or is this GPU scripting not quite living up to the hype yet Edit GPULIB seems..

Improving FFT performance in Python

http://stackoverflow.com/questions/6365623/improving-fft-performance-in-python

to test FFT implementations you might also take a look at GPU based codes if you have access to the proper hardware . There..

Neural Network based ranking of documents

http://stackoverflow.com/questions/7554873/neural-network-based-ranking-of-documents

Boltzman Machines . For a fast python implementation for a GPU CUDA see here . Another option is PyBrain . Academic papers..

fastest SVM implementation usable in python

http://stackoverflow.com/questions/9299346/fastest-svm-implementation-usable-in-python

or any ways to speed up my modeling I've heard of LIBSVM's GPU implementation which seems like it could work. I don't know.. which seems like it could work. I don't know of any other GPU SVM implementations usable in python but would definitely be.. would definitely be open to others. Also does using the GPU significantly increase runtime I've also heard that there are..