gpu-computing

GPU computation brings many advances if used for the right thing. Here you find some help on how to do GPU enhanced computations with python

PyOpenCL

cl_info.py (get informations about your workstation)
josephson-junction.py (a physical example)
pyopencl-non-root-env.pdf (guide to install pyopencl in a non root environment on ubuntu with nvidia devices and evaluation of the josephson-junction example)

Performance on different GPU devices. See pyopencl-non-root-env.pdf for more info.

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
data		data
.gitignore		.gitignore
README.md		README.md
cl_info.py		cl_info.py
complex_cl.py		complex_cl.py
complex_cl_2.py		complex_cl_2.py
complex_cl_runge_kutta_sparse.py		complex_cl_runge_kutta_sparse.py
complex_cl_sym_spars.py		complex_cl_sym_spars.py
complex_cuda.py		complex_cuda.py
complex_cuda_2.py		complex_cuda_2.py
cuda info		cuda info
gpu_compare.png		gpu_compare.png
gpu_performance_lenovo_dim.png		gpu_performance_lenovo_dim.png
gpu_performance_lenovo_grid.png		gpu_performance_lenovo_grid.png
gpu_performance_mac_dim.png		gpu_performance_mac_dim.png
gpu_performance_mac_grid.png		gpu_performance_mac_grid.png
josephson-junction.py		josephson-junction.py
pyopencl-non-root-env.pdf		pyopencl-non-root-env.pdf
rk3_cl.c		rk3_cl.c
simple_csr.py		simple_csr.py
sparse.py		sparse.py