Workshop Date Time Instructor(s) Options for Processing Big Data for the Social Sciences and Humanities (see Media Central recording) 2/13 4:30-6:00PM Jonathan Halverson Introduction to the Linux Command Line (Parts 1 & 2) [online material] 2/14, 2/16 4:30-6:00PM Galen Collier Introduction to Data Anaylsis using R (download files) 2/15 10AM-12PM Oscar Torres-Reyna Big Data Analytics and Machine Learning with Spark (webpage) 2/15 4:30-6:00PM Jonathan Halverson How Does ChatGPT Work? An Overview of Large Language Models (video 1, video 2, video 3) 2/20 4:30-6:00PM Ameet Deshpande and Alexander Wettig Command-Line Power Tools (GitHub repo) 2/20 1:30-3:00PM Axel Haenssen Getting Started with the Research Computing Clusters (guide) 2/21 4:30-6:00PM Anvitha Sudhakar Introduction to Data Anaylsis using Python (download files) 2/22 10AM-12PM Oscar Torres-Reyna Removing the Tedium from Your Research Workflow (GitHub repo) 2/23 4:30-6:00PM Jonathan Halverson Let's Collaborate! Software Development using the GitHub Web Interface (GitHub repo) 2/28 4:30-6:00PM Kilian Lieret High-Performance Python for CPUs [GitHub repo] 3/1 4:30-6:00PM Henry Schreiner Machine Learning and Pizza [slides] 3/2 12:00-1:00PM PICSciE Staff N-Ways to GPU Programming (Parts 1 & 2) [Zoom] [Slides] [Materials] 3/9, 3/10 1:00-5:00PM NVIDIA Continuous Integration and Automated Software Testing [slides] 3/10 10:30AM-12PM David Luet Fundamentals of Deep Learning with Multi-GPUs (Parts 1 & 2) 3/15, 3/16 1:00-5:00PM Srivathsan Koundinyan, NVIDIA Kokkos: A Parallel, Portable Programming Model for CPUs and GPUs [GitHub] 3/20 4:30-6:00PM Rohit Kakodkar Scientific Visualization with VisIt [materials] 3/21 2:00-3:30PM Eliot Feibush Introduction to Programming Using Python (Parts 1, 2 & 3) [materials] 3/21, 3/22, 3/23 4:30-6:00PM Matthew Cahn High-Performance Python for GPUs [GitHub] 3/22 4:30-6:00PM Henry Schreiner Getting Started with Machine Learning in Python [materials] 3/24 4:30-6:00PM Christina Peters, UDel Graph Neural Networks for Your Research [materials] 3/27 4:30-6:00PM Gage DeZoort Intro to Numerical Computing in Python with NumPy [GitHub] 3/28 4:30-6:00PM Vineet Bansal A Tour of PyTorch 2.0 [Zoom video][materials] 3/30 3:30-5:00 PM Shashank Prasanna, Meta Microsoft Azure Cloud Training [materials] 4/4 9AM-12PM Jasmine Greenaway, Microsoft spaCy: A Python Library for Natural Language Processing [video] [slides] 4/4 4:30-6:00PM Victoria Slocum, Explosion Data Visualization in Python [GitHub] 4/6 4:30-6:00PM Michal Grzadkowski Managing Research Data [PDF] 5/4 11AM-12:00PM Halle Burns and Sarah Reiff Conell Geographic Information Systems (GIS) Workshops on QGIS and ArcGIS Pro 2/6-3/8 William Guthe & Wangyal Shawa
