Dear Colleagues,
I'm sending you this friendly reminder for the upcoming webinar. You are cordially invited to join 2023 Dartmouth Summer Data Science and AI Webinar Series - Week 5. Please take a look at the details of the event below.
Title: Data and computational science in the Earth Sciences with Julia
Date/Time: August 3, Thursday, 11:00 AM – 12:00 PM EST.
Abstract:
Over the past decade, Dennard scaling has failed even as Moore's Law has not, leading to increasing core counts and an increasing need for parallel programming. For some types of work, polished off-the-shelf solutions exist that let you efficiently use distributed parallel computing resources, GPUs, etc. to solve a domain-specific problem - including, for example, popular deep learning packages. For other problems, including many we encounter in the Earth Sciences, no convenient off-the-shelf solutions exist, and we are left to write our own, which may require learning the details of multiple languages (e.g. CUDA for GPUs, C/C++/Fortran for MPI, etc., as well as Python/Matlab/etc. for interactive work, plotting and visualization) - and potentially to make all these languages work nicely together. Julia provides one potential alternative where you can, with some effort, write reasonably efficient GPU and parallel/distributed code in the same language that you may use for interactive/exploratory data analysis, plotting, and visualization. I will attempt to provide an overview of my own group's work in this field and some resources and examples of parallel programming in Julia.
Bio of the speaker:
C. Brenhin Keller is an Assistant Professor of Earth Sciences at Dartmouth College. His group works on a range of problems at the intersection of the deep earth and the surface earth system, i.e., how magmatic processes and Earth's deep mantle influences climate and the biosphere - from long-term compositional evolution of the crust over billion-year timescales to rapid volcanism in Large Igneous Provinces that appears that may drive mass extinctions.
This webinar will be offered online via Zoom. Please register to receive the Zoom link (one day before the webinar).
Registration link: libcal.dartmouth.edu/calendar/itc/2023DSAIW5
Look forward to seeing you at the webinar!
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Jianjun Hua
Dartmouth College
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