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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 |
| Improvements in Algorithms to Enable Real-Time Reconstruction of HEDM Data Using MIDAS - 12/14/15 |
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Hemant Sharma, X-Ray Science Division (XSD), Argonne Abstract (pdf) |
| A Flexible Approach to Big Data at the APS - 11/23/2015 |
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Ray Osborn, Senior Physicist, Materials Science Division (MSD), Argonne Abstract (pdf) |
| The Extensible GenApp Framework for Rapid Deployment of Multi-Scale Scientific Codes - 11/2/2015 |
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Emre Brookes, Assistant Professor, Department of Biochemistry, School of Medicine Abstract (pdf) |
| New Coherence Imaging Through Accelerated Algorithms - 10/19/2015 |
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Youssef Nashed and Tom Peterka, Mathematics and Computer Science Division (MCS), Argonne Abstract (pdf) |
| Rapid Development and Parallelization of Tomographic Reconstruction Codes at the APS - 9/21/2015 |
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Tekin Bicer and Raj Kettimuthu, Mathematics and Computer Science Division (MCS), Argonne Abstract (pdf) |