.. CudaPyInt documentation master file CudaPyInt ========= Cuda-based Python integrater ---------------------------- CudaPyInt is a library based on PyCUDA and CULSODA which gives you the possibility to integrate ODE's in parallel on GPGPUs Basic Usage ----------- If you wanted to integrate a system, you would do something like: :: import numpy import cudapyint constants = {"a": 1.7, "b": 2.4,} timepoints = numpy.array(numpy.logspace(-4,0,10),dtype=numpy.float64) args=numpy.array(numpy.logspace(-1,0,10),dtype=numpy.float32).reshape(10,1) y0s = numpy.ones([10,2], numpy.float32) solver = cudapyint.ODESolver(cudaCodePath, constants) result, info = solver.solve(y0s, timepoints, args, mxstep=1000000, use_jacobian=False, timing=True, info=True, full_output=True, write_code=True) User Guide ---------- .. toctree:: :maxdepth: 2 user/install API Documentation ----------------- .. toctree:: :maxdepth: 2 api Contributors ------------ .. include:: ../../AUTHORS.rst Changelog --------- .. include:: ../../HISTORY.rst License ------- CudaPyInt is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. CudaPyInt is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with CudaPyInt. If not, see .