Python for Supercomputing (Refresher Course)

Date:	Friday, March 23, 2018, 9:00-18:00
Location:	LRZ Building, Garching/Munich, Boltzmannstr. 1, LRZ Seminarraum 1
Contents:	As a general-purpose programming language with a growing user-base amongst data scientists, Python is increasingly used for data analysis and machine learning applications at the Leibniz Supercomputing Centre (LRZ). In this course we will introduce the different high performance computing ressources provided by LRZ and by demonstrating several techniques and best practice examples, we will empower participants to use Python effectively on these systems. Contents (tentative) Interactive Programming: Ipython, jupyter Package management: conda Numerical Arrays: Numpy, numexpr, numba Compiling to C: Cython parallel programming: MPI4py Using Fortran: f2py Using Cuda: pyCUDA ML: tensorflow, theano, SymPy Plots and Graphics: pylab and scipy Profiling and Debugging Big Data: pandas, dask The course is addressing participants with a basic knowledge of Python who want to learn how to best utilize the supercomputing systems at LRZ. All participants are expected to bring their own laptops.
Language:	English
Teachers:	F. Jamitzky, M. Ohlerich and S. Rössle-Blank (LRZ)
Registration:	Via the LRZ registration form. Please choose course HPSC1W17.
Slides:	Download If you attended this course, please don't forget to rate it: https://survey.lrz.de/index.php/981486