Fifth Workshop on Python for High-Performance and Scientific Computing (PyHPC)

Python is an established, high-level programming language with a large community in academia and industry. It is a general-purpose language adopted by many scientific applications such as computational fluid dynamics, biomolecular simulation, artificial intelligence, statistics, data analysis, scientific visualization etc. The use of Python for scientific, high-performance parallel, and distributed computing has increased in recent years. Especially, the use of Python rises for data analysis and Big Data processing. Traditionally, system administrators are using Python a lot for automating tasks. Since Python is extremely easy to learn with a very clean syntax, it is well-suited for education in scientific computing, mathematics, and other disciplines. Programmers are much more productive using Python. The workshop will bring together researchers and practitioners from industry, academia, and the wider community using Python in all aspects of high performance and scientific computing. The goal is to present Python applications from mathematics, science, and engineering, to discuss general topics regarding the use of Python (such as language design and performance issues), and to share experience using Python in scientific computing education. The main focus areas of the workshop will be on hybrid programming where Python is combined with traditional HPC languages (e.g., Fortran or C/C++) and on comparison with other dynamic languages that are used for HPC and technical computing (e.g., Julia, MATLAB, or R). Another focus area is on Python programming for modern multi-core processors and accelerators (e.g., GPUs or Intel Xeon Phi) and for quantum computers.