Thursday, May 4th
| 8:00 am | – | 9:00 am | Coffee and Registration
coffee, tea, ice water
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| Session Moderators: Brian Lin, Mark Coatsworth | ||||
| 9:00 am | – | 9:20 am | The Dynamic Scheduling Strategy of HTCondor at IHEP |
Jingyan Shi Institute of High Energy Physics, Chinese Academy of Science
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| 9:25 am | – | 9:45 am | Disk-to-Disk and Day-to-Day Data Placement Performance Metrics on a Trans-pacific HTCondor Infrastructure |
Philip Papadopoulos University of California-San Diego
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| 9:50 am | – | 10:10 am | Case Study: UW-Madison CHTC Scheduling Policies |
Greg Thain Center for High Throughput Computing
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| 10:10 am | – | 10:40 am | Break
TBD
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| Session Moderators: Kent Wenger, Mark Coatsworth | ||||
| 10:40 am | – | 11:00 am | Detecting and Managing Job Progress and Events with an HTCondor Update Job Info Hook |
Michael Pelletier Raytheon Company
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| 11:05 am | – | 11:25 am | Monitoring HTCondor |
Todd Tannenbaum Center for High Throughput Computing
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| 11:30 am | – | 11:50 am | Monitoring and Analytics with HTCondor Data |
William Strecker-Kellogg BNL
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| 11:55 am | – | 12:15 pm | Monitoring HTCondor using Elastic, Grafana, and Conmon |
William Deck Susquehanna International Group
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| 12:15 pm | – | 1:15 pm | Lunch
TBD
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| Session Moderators: Carl Edquist, Matyas Selmeci | ||||
| 1:15 pm | – | 1:35 pm | Google Compute Engine with HTCondor |
Karan Bhatia Google
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| 1:40 pm | – | 2:00 pm | Using Docker, HTCondor, and AWS for EDA Model Development |
Andy Howard Cycle Computing
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| 2:05 pm | – | 2:25 pm | Technical Questions Raised During Project “Interfacing HTCondor-CE with OpenStack” |
Jose Caballero BNL
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| 2:30 pm | – | 2:50 pm | High-Throughput Machine Learning from Electronic Health Records |
David Page UW-Madison
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| 2:55 pm | – | 3:15 pm | HTCondor in the Azure Cloud |
Taylor Newill, Jaime Frey Tata Institute of Fundamental Research, Microsoft, Center for High Throughput Computing
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| 3:15 pm | – | 3:45 pm | Break
TBD
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| Session Moderators: Jason Patton, Erin Grasmick | ||||
| 3:45 pm | – | 4:05 pm | Applications of HTCondor to the Environmental Sciences
Environmental scientists face computational hurdles. Large models must be run and parameterized. -omics data must be processed. Landscape-level studies must be designed and analyzed. High-throughput computing, and more specifically HTCondor, is one approach that may be used to solve these problems. In this talk, I describe how HTCondor is being used by scientists at USGS to solve these problems.
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Richard Erickson USGS/Upper Midwest Environmental Sciences Center
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| 4:10 pm | – | 4:30 pm | Pegasus WMS : An Introduction and Upcoming Features |
Karan Vahi USC Information Sciences Institute
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| 4:35 pm | – | 5:05 pm | Automation Panel |
Miron Livny, others Center for High Throughput Computing
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| 5:05 pm | – | 5:10 pm | Closing Remarks |
Miron Livny Center for High Throughput Computing
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Specific talks and times are subject to change.