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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. APS Scientific Computation Seminar Series Home |
| Multilevel-Based Multi-Modality Data Analysis – 9/19/16 |
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Zichao (Wendy) Di, Mathematics and Computer Science Division (MCS), Argonne Abstract (pdf) |
| A Highly Parallel Implementation of X-Ray Photon Correlation Spectroscopy (XPCS) Data Analysis - 7/18/16 |
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Faisal Khan, X-Ray Science Division (XSD), Argonne Abstract (pdf) |
| Scalable Strategies for Image Analysis in Neuroscience - 6/2/16 |
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Walter J. Scheirer, Department of Computer Science & Engineering, University of Notre Dame Abstract (pdf) |
| Using ParaView for Scientific Data Visualization - 5/16/16 |
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Joseph Insley, Principal Software Development Specialist, Argonne Leadership Computing Facility Abstract (pdf) |
| Using Scedasticity to Find the Data That Matter - 2/25/16 |
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Bachir Aoun, X-Ray Science Division (XSD), Argonne Abstract (pdf) |
| What Prevents You from Using Leadership-Scale Computing? - 2/15/16 |
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Katherine Riley, Director of Science, Argonne Leadership Computing Facility Abstract (pdf) |
| Demonstration of Globus Research Data Management Services - 1/18/16 |
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Ben Blaiszik, Computation Institute, The University of Chicago Abstract (pdf) |