The Advanced Photon Source
a U.S. Department of Energy Office of Science 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: High Speed and Accuracy Scientific Data Reduction with SZ
Presenter:  Franck Cappello, Mathematics and Computer Science Division, Argonne National Laboratory
Date: Monday, December 13, 2021
Time: 1:00 p.m.
Location: Microsoft Teams meeting
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+1 630-556-7958, 680933305#   United States, Big Rock
Phone Conference ID: 680 933 305#
Abstract: Discovering solid and effective solutions to address important societal problems like pandemic, climate change, transition to green energy often relies on using ultra precise scientific instruments and large-scale numerical simulations that generate extreme volumes of data at high velocity. The next generation of scientific equipment, currently under construction, will generate more scientific data than can be stored, communicated, and analyzed. To respond to this unprecedented challenge, the community has identified scientific data reduction as a major research topic with the goal of finding solutions to reduce data size from one to several orders of magnitude while preserving the potential for scientific discoveries. Several teams are actively searching scientific data reduction techniques satisfying researchers constraints in terms of accuracy, speed, and reduction ratio. This talk will focus on the SZ lossy compression framework that has just received an R&D100 award. What makes SZ unique is its flexibility and the breadth of its application use-cases. SZ is more than a lossy compressor for scientific data. It is a scientific data reduction platform with modules that can be composed, adapted, and tuned to fit specific scientific data reduction constraints.  We will present several use-cases and applications of SZ, including in crystallography and ptychography. We will also discuss techniques to assess the impact of lossy compression on scientific data and analysis.
Previous Seminars:

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