Upcoming Workshops
RIS Fall Compute Seminars
Are you interested in using the RIS Scientific Compute Platform for software development or curious about learning how to leverage GPUs for your research?
RIS is putting on two workshops to address these questions later this Fall.
RIS Software Development
Tuesday, November 30, 2021
1:30 – 3:30 p.m
This workshop aims to demonstrate how to use the RIS Scientific Compute Platform for software development using Perl as an example. The workshop will be presented over Zoom and will cover the following:
- An introduction to using the RIS Compute Platform for software development.
- An example of creating a development environment and versioning software.
- Software development best practices.
Register here.
GPU Computing on RIS with Jupyter
Wednesday, December 1, 2021
1:30 – 3:30 p.m
This workshop aims to introduce RIS Scientific Compute users to leveraging RIS compute and GPUs. The workshop will be presented over Zoom and will cover the following:
- Submitting a job to a GPU host.
- Using the RAPIDS AI GPU-accelerated Docker container.
- Running a Random Forest classification task.
Register here.
Registration for both seminars closes on November 5, 2021, and is limited to the first 100 registrants for each workshop. Workshop recordings will be available after the workshop dates.
Lower Data Storage Rates Announced for FY22
Data Storage Platform rates for both Active and Archive, consumption and subscription levels will be reduced in FY22.
- Consumption of less than 100TB will be reduced to $12 per TB Active, and $5 per TB Archive.
- Subscription (100TB increments) will be reduced to $600 per each 100TB Active, and $250 per 100TB Archive increments.
The Data Storage Platform Rates can be viewed in WUSTL Box.
Please visit the RIS Service Desk if you have questions, would like to increase your quota, or change to a different usage model.
Recordings of the RIS Virtual Workshops on Scientific Compute can be found in WUSTL Box.
These seminars and workshops provided an opportunity for Researchers, their Staff, and Student Researchers to become familiar with the RIS group, services such as storage, compute, applications and consulting resources through workshops in high-performance GPU parallel processing development and use. It is intended that researchers can pick and choose the topics according to their interest and relative experience.
The end goal was to provide the relevant skills to introduce researchers into using NVIDIA GPUs using python with an introduction to Data Science and Genomics.
Technical trainers from Research Infrastructure Services and NVIDIA
Some were hands-on using the WashU high-performance compute and storage environment.