The Exascale Computing Project is partnering with several DOE Computing Facilities to offer a webinar covering Python in HPC.
Python’s powerful elegance has driven its adoption at HPC centers for job orchestration, visualization, exploratory data analysis, and even simulation. But maximizing performance from Python applications can be challenging especially on supercomputing architectures. This webinar will explain those challenges with a practical emphasis on using Python at NERSC, ALCF, and OLCF. We will outline a variety of performance optimization strategies, tools for measuring and addressing performance problems, and establish best practices for Python in HPC.
The IDEAS Productivity project, in partnership with several DOE Computing Facilities and the DOE Exascale Computing Project (ECP) is resuming the webinar series on Best Practices for HPC Software Developers, which we began last year.
As part of this series, we will offer one-hour webinars on topics in scientific software development and high-performance computing, approximately once a month. Participation is free and open to the public, but registration will be required for each event.
Webinar Video – YouTube Video
The IDEAS Productivity project, in partnership with the DOE Computing Facilities of the ALCF, OLCF, and NERSC and the DOE Exascale Computing Project (ECP), is resuming the webinar series on Best Practices for HPC Software Developers, which we began last year.
As part of this series, we will offer one-hour webinars on topics in scientific software development and high-performance computing, approximately once a month. Participation is free and open to the public, but registration will be required for each event.
The next webinar in the series was “Using the Roofline Model and Intel Advisor” with speaker Sam Williams of Lawrence Berkeley National Laboratory. This webinar took place on August 16, 2017 and you can find a copy of the presentation and the video from the webinar in the Presentation Materials section below.