Some of the links from the 30th of September 2019 meeting:

https://lammps.sandia.gov/bench/shannon.web.28Jun14.singlenode.lj.all.double.jpeg - Benchmark between CPU and GPU computation

https://herbsutter.com/welcome-to-the-jungle/ - Interesting article on the topic of parallel computing

https://medium.com/@bfortuner/python-multithreading-vs-multiprocessing-73072ce5600b - Intro to Threads and Processes in Python - Brendan Fortuner - Medium

https://docs.python.org/2/library/multiprocessing.html - 16.6. multiprocessing — Process-based “threading” interface — Python 2.7.16 documentation

https://developer.nvidia.com/cuda-zone - CUDA Zone | NVIDIA Developer

https://www.khronos.org/opencl/ - OpenCL Overview - The Khronos Group Inc

https://documen.tician.de/pycuda/ - Welcome to PyCUDA’s documentation! — PyCUDA 2019.1.2 documentation

https://documen.tician.de/pyopencl/ - Welcome to PyOpenCL’s documentation! — PyOpenCL 2019.1.1 documentation

https://www.ibm.com/developerworks/community/blogs/jfp/entry/Installing_PyCUDA_On_Anaconda_For_Windows?lang=en - Installing PyCUDA On Anaconda For Windows (IT Best Kept Secret Is Optimization)

https://www.ibm.com/developerworks/community/blogs/jfp/entry/Installing_PyOpenCl_On_Anaconda_For_Windows?lang=en - Installing PyOpenCl On Anaconda For Windows (IT Best Kept Secret Is Optimization)

https://www.youtube.com/watch?v=6zQhUlMYea4 - (2) Mike McKerns - Efficient Python for High-Performance Parallel Computing - PyCon 2016 - YouTube

https://github.com/mmckerns/tuthpc - GitHub - mmckerns/tuthpc: Tutorial on "Efficient Python for High-Performance Computing"

https://wiki.aalto.fi/download/attachments/40025977/Cuda+and+OpenCL+API+comparison_presented.pdf - Cuda and OpenCL API comparison

https://htor.inf.ethz.ch/teaching/mpi_tutorials/ppopp13/2013-02-24-ppopp-mpi-basic.pdf - MPI interface - spreading code across multiple computers

http://mafalda.unige.ch/ganglia/ - MAFALDA cluster - DQMP (Christophe Berthod)

https://baobab.unige.ch/enduser/src/enduser/enduser.html#compute-nodes - BAOBAB cluster - UniGE (Yann Sagon)