Join us for an engaging lunchtime seminar hosted by the Center for AI Innovation at the University of Illinois, where Rohan Marwaha and colleagues will demonstrate how to use Cursor and other powerful AI command-line tools to boost productivity and innovation in your workflows.
The Computing Community Consortium (CCC) is launching a new series of CCC Community Chats, designed to spark broad discussion on key issues in computing research. The first event, CCC Community Chat: Envisioning Possible Futures for AI Research, will feature David Jensen (UMass Amherst), lead author of the CCC whitepaper Envisioning Possible Futures for AI Research.
Shell scripting is an effective tool for boosting productivity and reducing errors in HPC workflows. Shell scripts can be used to streamline pre- and post-processing tasks, automate repetitive tasks, backups, and system monitoring. In this session, we assume participants have experience with basic Linux operations on command-line tools.
Co-organized by the Center for Artificial Intelligence Innovation at the National Center for Supercomputing Applications. The main goal is to let talented UIUC students showcase their skills in a friendly competition while working on challenging problems involving computational science and machine learning using state-of-the-art computational systems at NCSA.
Join us for a one hour webinar that introduces the computational resources and support available to Illinois researchers on campus, and beyond! We will provide an overview of the resources and support available through the Illinois Computes program, other on-campus services, as well as the NSF-supported ACCESS program.
This course is an introduction to the R programming language and covers the fundamental concepts needed to operate in the R environment. Students are not required to have any prior experience with R.
Attend this onsite workshop at NCSA to learn how to use OpenACC API compiler directives to quickly develop GPU-capable codes using standard languages and compilers. Knowledge of either C or Fortran programming is required. Hands-on exercises will use Pittsburgh Supercomputing Center’s Bridges-2 computing platform.
This webinar will give a high-level overview of the SYCL programming language and the software ecosystem to write and tune SYCL code for different accelerator architectures.
This workshop will give you hands-on experience using TorchGeo for geospatial deep learning. TorchGeo is a PyTorch domain library, similar to torchvision, providing datasets, samplers, transforms, and pre-trained models specific to geospatial data.
This workshop, presented by Zoe Ryan from NVIDIA, will give you hands-on experience accelerating Python codes with NVIDIA GPUs. The workshop will focus on CuPy, NVIDIA RAPIDS, and NVIDIA Warp.