Sunday 15th November, 2015
3:30pm to 4:00pm
Python-based applications at the Texas Advanced Computing Center (TACC) consume a significant and growing fraction of our computational resources. To meet this demand, TACC has developed an approach to provide its users a robust, performant, and flexible Python ecosystem. HPC Centers such as TACC have unique concerns when supporting Python due to their complex system environments and diverse user base: maintenance and usage tracking of multiple Python versions/distributions/compiler-bases and associated packages, deployment of this software in a manner that is compatible with our systems and readily usable to our users, optimization of the software to maximize scientific throughout, and user support and education.
Texas Advanced Computing Center
Texas Advanced Computing Center
Texas Advanced Computing Center
4pm Feature Frequency Profiles for Automatic Sample Identification using PySpark by Mehmet Dalkilic, Niall Gaffney and Gregory Zynda
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United States United States, Austin
15th November 2015