SciPy 2020 has added a High Performance Python track

Contributed by Laurie Stephey (NERSC)

What is SciPy?

SciPy is a conference that focuses on how Python is being used in scientific applications across many disciplines. It is now in its 19th year and like Python, has been growing rapidly. Most speakers and presenters provide links to their public code and make their talks/resources publicly available. SciPy has a very open and welcoming atmosphere.

SciPy will take place in Austin, TX from July 6-12, 2020. The first two days are tutorials, the following three days are the main conference proceedings, and the last two days are open source project sprint sessions.

Why should you come?

This year the organizers have added two new tracks– High Performance Python and Machine Learning and Data Science (of course!).

Andreas Kloeckner and I will be the co-chairs for the High Performance Python track. We hope that it will serve as a gathering place for the growing Python HPC community to exchange ideas, resources, and to get to know each other. We are making an effort to reach out to Python users in many communities, including DOE, NSF, academic institutions, and industry. You can help us by spreading the word!

Here are some topics we will highlight during the track

• Python performance optimization
• Strategies to run Python at large scale
• Methods to enable Python on many diverse architectures, especially GPUs

Submission information

We encourage anyone who is interested to submit a talk (25 mins) or a poster. If selected for a talk, the authors will have the option to write a paper in the open source conference proceedings. Here is a link to the 2019 proceedings.

The deadline for submissions is February 11, 2020. If you have any questions or comments, please reach out to me at lastephey@lbl.gov or Andreas Kloeckner at andreask@illinois.edu. We look forward to meeting our fellow HPC Python enthusiasts!