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add details for Emily
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stragu committed Oct 14, 2024
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4 changes: 2 additions & 2 deletions _data/sessions.yml
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description: Participants will learn about basic programming concepts including simple and complex data types, conditionals and looping that are applicable to Python and other languages. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity.
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title: How to fix slow code
title: Make your code go fast, fast
themes: []
id: 2016
speakers: [211]
subtype: Workshop
service:
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description:
description: Make your code go fast, fast - practical performance engineering for research software.<br>Whether you're running massively-parallel computer simulations or processing huge amounts of research data, research software across all domains increasingly requires the use of large-scale data and computational resources. As a result, it's becoming increasingly important to be able to write fast, well-optimised code to ensure efficient use of computational resources such as high-performance computing clusters, as well as improved turnaround time on research outcomes. Simply put, time spent waiting for code to run is time not spent doing research. Squeezing every available bit of performance out of your code can be extremely time-consuming, but fortunately you can go a long way with just a little bit of programming know-how applied in the right places. This talk will provide an introduction to performance engineering, with a focus on practical, well-tested techniques for both compute- and data-heavy workflows. I will discuss methodologies and open-source tools which will help you get the most "bang for your buck" when optimising slow code in your research pipelines.
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title: Keypoint workshop
themes: []
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10 changes: 5 additions & 5 deletions _data/speakers.yml
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social:
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id: 211
name: Emily
name: Dr Emily
surname: Kahl
pronouns: She/Her
company: Pawsey Supercomputing Center
title:
bio:
thumbnailUrl:
title: Supercomputing Applications Specialist
bio: Dr Emily Kahl is a Supercomputing Applications Specialist at the Pawsey Supercomputing Centre, and is based remotely in Brisbane. Emily develops and maintains software for molecular simulation, with a specific focus on GPU-accelerated computing and machine learning methods in quantum chemistry. She has extensive experience developing and supporting software for computational chemistry and molecular modeling and has contributed to multiple open-source molecular dynamics projects. She is also an advocate for open-source software in computational science, and the code she has developed for atomic and molecular simulation has seen widespread use by Australian and international researchers. Prior to joining Pawsey, Emily completed her PhD in physics at the University of New South Wales and worked as a research software engineer at the University of Queensland.
thumbnailUrl: emily_kahl.jpg
rockstar: false
ribbon:
- {abbr: "", title: "", url: ""}
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social:
social: https://www.atomwitch.net/mini-cv/
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id: 212
name: Joanna
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Binary file added img/people/emily_kahl.jpg
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