Workshop training

New Cornell Virtual Workshop Training Opportunities Available at XSEDE

ITHACA, NY, March 2, 2021 – Cornell University announced today that four new Cornell Virtual Workshop training topics are available on the Extreme Science and Engineering Discovery Environment (XSEDE) user portal:

  • First steps on Frontera
  • Introduction to advanced cluster architectures
  • Using the Jetstream APIs
  • Python for Data Science: Part 2 – Data Modeling and Machine Learning

Cornell Virtual Workshop topics are available free of charge at any time to the entire scientific community – researchers, HPC practitioners, students and educators – at XSEDE online training.

Getting Started on Frontera is a quick start guide for the Frontera Supercomputer at the Texas Advanced Computing Center (TACC). At the end of Frontera training, you will be able to connect, store and move data, configure your shell environment, use the available compilers, select the appropriate queue for your job, and submit a job to Slurm.

“Introduction to Advanced Cluster Architectures” describes how to effectively use advanced clusters powered by large numbers of multicore processors, abundant memory and cache, and fast interconnects. Scaling, scaling, and in-depth scaling exercises are available with this training, along with exercises on tuning codes.

“Using the Jetstream APIs” describes the various programming and user interfaces available with Jetstream / Jetstream 2, which ones to choose from, and how to perform typical operations through the interfaces. Jetstream 2 is a cloud-based on-demand compute and data analysis resource that builds on the success of Indiana University’s Pervasive Technology Institute (PTI) Jetstream.

“Python for Data Science: Part 2: Data Modeling and Machine Learning” provides training on using Python and its libraries and packages to calculate statistics on datasets, develop statistical models and visualizations, perform parameter estimates using SciPy, analyze network models using NetworkX, perform machine learning analyzes using scikit-learn, and access XSEDE resources for data science.

In addition to these training opportunities, Cornell announced major updates to current virtual workshops including Python for high performance, vectorization, data transfer, MATLAB programming, and hybrid programming with OpenMP and MPI.

“We are excited to develop training material for NSF-funded IC resources,” said Susan Mehringer, associate director of consulting at the Cornell Center for Advanced Computing. “Helping end users get the most out of these architectures is very rewarding. ” New training topics currently in development at Cornell include Jetstream 2 and Terraform, Containers and Singularity, using Jupyter with HPC systems, GPU hardware, and deep learning.

The Cornell University Center for Advanced Computing (CAC) is a leader in the design and development of virtual workshops, webinars and in-person training that enhance the computational skills of researchers and accelerate the adoption of new and emerging technologies. Over 250,000 unique users have accessed Cornell Virtual Workshop training modules.

The extreme environment of discovery of science and engineering (XSEDE) is an NSF-funded virtual organization that integrates and coordinates the sharing of advanced digital technologies services – including supercomputers and high-end data visualization and analysis Resources – with researchers at national level to support science.


Source: CAC