Upcoming seminars and workshops

WEBINAR: Scientific Workflows

This Blue Waters webinar series provides an overview of common scientific workflows and tools that enable them.

Performance Portability with Kokkos

This training will cover the minimum required topics to get your application started on using Kokkos. If you have a c++ app and need performance portability, please consider Kokkos. Registration is limited, so please register quickly!

XSEDE Workshop: Big Data

This workshop will focus on topics such as Hadoop, Spark and Tensorflow. Seats are limited.

Automated Code Generation with Spiral

This is part of the Blue Waters Petascale Application Improvement Discovery Webinar Series. The tutorial will present the basic usage of Spiral and demonstrate use cases from Spiral's development on different PAID IME projects.

TACC Institute Series: Computational Techniques for Life Sciences

Learn the basic skills necessary to develop and execute life sciences workflows on large-scale systems, run parallel analyses, use Bash and Python to chain common life sciences applications together to form more complex workflows, and analyze result data in order to gain useful insights.

WEBINAR: Scientific Visualization

This Blue Waters Webinar series focuses on individual tools and capabilities for visualizing data and information.

Argonne Training Program on Extreme-Scale Computing (ATPESC)

ATPESC provides doctoral students, postdocs, and computational scientists intensive hands-on training on the key skills, approaches and tools to design, implement, and execute computational science and engineering applications on current supercomputers and the HPC systems of the future. As a bridge to that future, this two-week program fills many gaps that exist in the training computational scientists typically receive through formal education or shorter courses. There are no fees to participate. Domestic airfare, meals, and lodging are provided.

SDSC High Performance Computing Summer Institute

The Summer Institute provides attendees with an overview of topics in High Performance Computing and Data Science to accelerate their learning process through highly interactive classes with hands-on tutorials on the Comet Supercomputer.  The program is aimed at researchers in academia and industry, especially in domains not traditionally engaged in supercomputing. Participants only need to have basic programming experience and should be comfortable working in a Linux environment.

EDAMAME 2017: Explorations in Data Analyses for Metagenomic Advances in Microbial Ecology

EDAMAME is an intensive, hands-on course in microbial metagenome analyses, covering workflows from raw sequence analysis through to multivariate statistics and ecological interpretation.