Advanced Photon Source

An Office of Science National User Facility

APS Scientific Computation Seminar Series

Sessions will normally be held on the 3rd Monday of the month at 1:00 p.m. and last approximately one hour.

This seminar series focuses on scientific computation for APS experiments. The series focuses on advanced software and computing infrastructure for analysis, reduction, reconstruction, and simulation. It provides an opportunity to learn about state-of-the-art computational techniques and tools and how they are being applied to science at the APS. It will start with talks from Argonne staff who are working on projects in collaboration or in support of APS science.

Next Seminar:
Title: Introducing Parsl: A Parallel Scripting Library for Python
Presenters: 
Kyle Chard, Senior Researcher and Fellow in the Computation Institute at the University of Chicago and Argonne National Laboratory
 
Michael Wilde, Software Architect and Fellow in the Computation Institute at the University of Chicago and Argonne National Laboratory
Date: December 20, 2017
Time: 2:00 p.m.
Location: 401/A1100
Abstract:

Researchers frequently rely on large-scale and domain-specific workflows to conduct their science. These workflows may integrate a variety of independent software functions and external applications. However, developing and executing such workflows can be difficult, requiring complex orchestration and management of applications and data as well as customization for specific execution environments. In this talk, we introduce Parsl (Parallel Scripting Library), a Python library for programming and executing data-oriented workflows in parallel, addresses these problems. Developers simply annotate a Python script with Parsl directives; Parsl manages the execution of the script on clusters, clouds, grids, and other resources. Parsl orchestrates required data movement and manages the execution of Python functions and external applications in parallel.

Previous Seminars:

2017 | 2016 | 2015