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        "author": "Can Aykul <aykul@somed.io>, Orcun Gumus <gumus@somed.io>",
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        "description": "=====================\nBig Multiplier\n=====================\n.. image:: https://travis-ci.org/somedanalytics/big-multiplier.svg?branch=master\n    :target: https://travis-ci.org/somedanalytics/big-multiplier\n\n\nThis repository created for matrix multiplication.\n\nThe purpose is to prevent being out of memory on GPU.\n\nDoing matrix multiplication is a massive calculation for CPU. However generally GPU rams are not enough. Sometimes it is not possible to place the two of the matrix on the GPU ram.\n\nIn this implementation you will find a Theano symbolic multiplication. This function will divide your big matrixes to smaller blocks in order to make possible the calculation on GPU.\n\nJust call the method\n\n``result_sparse_matrix = calculate(sparse_matrix_1, sparse_matrix_2)``\n\nImplementation is using scipy lil and csr sparse matrix.\n\nInstall\n===============\n\n``pip install bigmultiplier``\n\n",
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