conference-talk

Docker for Scientific Applications

Date and Time: 
2015 April 14 @ 10:00am
Location: 
FL2-1022 Large Auditorium
Speaker: 
Joe Stubbs

Container technology, and in particular Docker, has revolutionized distributed systems in a very short time. At the Texas Advanced Computing Center, we see the potential for Docker to have an enormous impact on scientific computing as well. Containers enable developers to distribute their applications with all necessary dependencies included in a single file. As a result, the software is immensely more portable and provides far greater reproducibility of results. Additionally, the barrier to entry is greatly reduced, as installation becomes as simple as downloading a file.

Speaker Description: 

Joe Stubbs earned a PhD in Mathematics from the University of Michigan. Since then he has been at the University of Texas where he has focused on building infrastructure software in various contexts. He is currently a research scientist at TACC where he primarily works on the Agave "science as a service" platform, enabling the next generation of science gateways to harness petascale HPC over the web.

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Video recorded: 

If you use a non-flash enabled device, you may download the video here

Composing and deploying a cluster of Docker containers

Date and Time: 
2015 April 14 @ 9:30am
Location: 
FL2-1022 Large Auditorium
Speaker: 
Walter Moreira

Containers, and in particular Docker, are quickly transforming how we think about software architecture. Despite its popularity, there are two big problems that have not been fully solved yet: composability, and multi-node deployment of containers. Many products from big companies are trying to address them, but there is not a clear leader yet.

Speaker Description: 

Walter Moreira received his PhD in Mathematics from Texas A&M University. He previously worked in the HET Dark Energy Experiment at the McDonald Observatory, building the control system for a large telescope. He is currently working as a research engineer at TACC, concentrating in distributed systems. His main focus is building a federated data architecture for the Arabidopsis Information Portal.

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Video recorded: 

If you use a non-flash enabled device, you may download the video here

Utilizing Scientific Python Tools for the Application of Data Science Techniques to High Impact Weather Prediction

Date and Time: 
2015 April 13 @ 3:00pm
Location: 
FL2-1022 Large Auditorium
Speaker: 
David Gagne

The developments and optimizations provided by Python’s scientific libraries have enabled the development of real-time high-resolution forecast post-processing systems primarily in Python. Numpy, Scipy, Matplotlib, and a set of newer scientific libraries have made this development possible. The Pandas library introduced efficient ways to load, analyze, manipulate, and merge large datasets. Scikit-Image provides a diverse array of image processing tools, which are useful for filtering and extracting information from gridded data.

Speaker Description: 

David John Gagne is a doctoral candidate in meteorology at the University of Oklahoma and a visiting graduate research assistant with the NCAR Research Applications Lab. His main research interests involve the application of machine learning techniques to numerical weather models and observations in order to improve the prediction of high impact weather. He has developed frameworks for improving the prediction of hail, solar energy, wind energy, heavy rain, aircraft turbulence, and tornadoes. He is an active Python developer and has contributed to packages for weather data visualization, forecast verification, and gridded forecast correction.

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Video recorded: 

If you use a non-flash enabled device, you may download the video here

Python for Wind Energy

Date and Time: 
2015 April 13 @ 2:00pm
Location: 
FL2-1022 Large Auditorium
Speaker: 
Katherine Dykes

Authors: Katherine Dykes, Peter Graf, Rick Damiani, George Scott, Andrew Ning, Yi Guo, Taylor Parsons, Ryan King, and Paul Veers

Speaker Description: 

The NREL NWTC wind energy systems engineering initiative has developed a Python-based analysis platform to leverage its research capabilities toward integrating wind energy engineering and cost models across wind plants. This Wind-Plant Integrated System Design & Engineering Model (WISDEM™) platform captures the important interactions between various subsystems to achieve a better understanding of how to improve system-level performance and achieve system-level cost reductions. This work illustrates a few case studies with WISDEM that focus on the design and analysis of wind turbines and plants at different system levels.

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Processing of ensemble simulations in a Python framework: PyEnsembles

Date and Time: 
2015 April 13 @ 11:00am
Location: 
FL2-1022 Large Auditorium
Speaker: 
Ernesto Munoz

Authors: Ernesto Munoz, Emily Becker, Sheri Mickelson  

Speaker Description: 

Dr. Ernesto Munoz is Associate Scientist in NCAR's Climate and Global Dynamics Division. His current focus is on the development of applications for the analysis of ocean biogeochemistry (in collaboration with Dr. Keith Lindsay). Ernesto was awarded a Ph.D. degree in Atmospheric and Oceanic Sciences from the University of Maryland at College Park. After graduation, he completed a Postdoctoral appointment at NOAA's Cooperative Institute for Marine and Atmospheric Studies.

Event Category:

Python Base Scientific Data Analysis Web Application

Date and Time: 
2015 April 13 @ 10:00am
Location: 
FL2-1022 Large Auditorium
Speaker: 
Hannah Keller

Authors: Seogmin Choi, Robert Crimi, Connor Guerrieri, Bo Han, Hannah Keller, Hannah Thomas

Speaker Description: 

Hannah Keller is a senior computer science major at the University of Colorado Boulder and is working on a team of 6 students under the guidance a group of developers at NCAR to create a scientific data analysis web application. Hannah is the team lead for the project, which is a Senior Software Engineering Project as part of the university's degree program. Currently, Hannah also works as a software developer associate at Alteryx, Inc., a strategic analytics software provider, where she works on the core engine team and was integral in developing Alteryx social media integration capabilities. Previously, she attended the University of British Columbia studying Environmental Engineering where she worked as a research assistant to an Environmental Fluid Mechanics Research Associate and co-authored a water quality report for the British Columbia Hydro and Power Authority.

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Video recorded: 

If you use a non-flash enabled device, you may download the video here

Light-weight Parallel Python Tools Within the CESM Workflow

Date and Time: 
2015 April 13 @ 9:30am
Location: 
FL2-1022 Large Auditorium
Speaker: 
Sheri Mickelson and Alice Bertini

Authors: Sheri Mickelson, Kevin Paul, Alice Bertini, Dave Brown, John Dennis

Speaker Description: 

Sheri Mickelson is a software engineer in the Application Scalability and Performance Group and the CESM Software Engineering Group at NCAR. Her main interest is in application performance. Currently, she is helping lead the effort to improve the performance of various CESM post-processing tools in order to get ready for CMIP6.

Alice Bertini is a software engineer at NCAR in the CESM Software Engineering Group (CSEG). She is the CESM release coordinator, database programmer and administrator for the CSEG databases, and python programmer integrating light-weight parallel python tools developed by NCAR CISL ASAP group into the CESM workflow post-processing tools.

Event Category:

Video recorded: 

If you use a non-flash enabled device, you may download the video here

Development Tools for Results: Allinea's unified tools for debugging and profiling HPC codes

Date and Time: 
2015 April 15 - FULL DAY
Location: 
FL2-1001 Small Seminar (next to the entrance of the building)
Speaker: 
Beau Paisley

Developing an HPC application can be a challenging task - especially when it comes to fixing bugs, optimizing workload or even resolving both type of issues simultaneously. Those challenges are made easier with Allinea Tools. Using our environment, it is now possible for developers to adopt instantly efficient and scalable development tools and to focus immediately on their core activity - which can be science, benchmarks, support or even more. During this tutorial, we will review the capabilities of Allinea Tools and how to use them on yellowstone.

Speaker Description: 

Beau is a computer science and mathematics graduate from the College of William and Mary and performed graduate studies in Electrical Engineering at Purdue University. Beau has over twenty five years of experience in development, marketing, and sales roles with research, academic, and startup organizations. He has previously held positions with NCAR, Applied Physics Lab, and several startup and early growth technical computing companies. Beau is now a Support Engineer with Allinea Software.

Event Category:

The PyNIO multi-format scientific data I/O module

Date and Time: 
2015 April 16 - AM
Location: 
FL2-1022 Large Auditorium
Speaker: 
David Brown, Wei Huang, Mary Haley and Rick Brownrigg

PyNIO is a Python package that allows read and/or write access to a variety of scientific data formats, including NetCDF 3/4, HDF 4/5, HDFEOS 2/5, GRIB 1/2, and shapefiles. It provides a consistent NetCDF-like data model for all formats and through its interface to the NumPy array module allows for easy access to the power of Python scientific computing tools. In combination with mpi4py it has provided significant speedups for a number of "big data" processing tasks involving climate model data. Significant development to modernize the code is ongoing.

Speaker Description: 

TBD

Event Category:

Introduction to testing with py.test

Date and Time: 
2015 April 15 - PM
Location: 
FL2-1022 Large Auditorium
Speaker: 
Dorota Jarecka

Py.test is a full feature tool to test your Python code. It offers a simple way to get started writing test in your work. Py.test scales from simple unit testing to complex functional testing. It is already widely used in many small and large projects. 
This tutorial will be a short introduction to general testing terminology and py.test tool. It will cover a basic py.test usage, starting from unit testing and the assert statement. Parametrization of arguments for a test function will be presented as a way to test a wide range of arguments’ values at the same time.

Speaker Description: 

Dorota Jarecka is an Assistant Professor at the University of Warsaw (Warsaw, Poland) and a Visitor within the Mesoscale and Microscale Meteorology Division of NCAR. She received her PhD in Physics from University of Warsaw in September 2012. Her research interests include cloud microphysics, atmospheric numerical simulations and scientific computing with Python. She just started a new project dedicated to develop and test microphysical schemes in numerical models.

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