August 19 — 23, 2019
Registration for Host Sites remains open.
Registration for participants is OPEN.
The goal of the institute is to enable computational and data-enabled discovery in all fields of study by teaching the participants to scale their computational codes to leadership-class computing systems.
The institute will be broadcast to Host Sites (listed on the Registration page to the left) using full-duplex audio/video connections. Participants will receive training accounts, on-site mentoring, and the ability to ask questions of the presenters orally and via on-line chats.
Sessions will also be webcast on YouTube live, although participants will not receive training accounts and will only be able to post questions on-line.
Participants must register to attend one of the Host Sites (listed on the Registration page to the left) or to watch the sessions on YouTube. Recordings of the presentations will be made publicly available after the institute is completed.
Applications for Host Sites is OPEN!
The institute is free and open to everyone. The content is targeted to individuals conducting research and scholarship in all disciplines, including graduate and undergraduate students, postdocs, faculty, researchers, scholars, educators, and practitioners in academia, industry and government agencies.
The institute will be beneficial to research teams who are preparing to scale their codes to petascale-class resources, people who are working on parallel codes, or have a need to scale up computational codes and/or data analysis programs. Individuals who are current or pending users of large-scale HPC systems will benefit the most from this institute. People who do not have access to research codes, such as those using commercial packages, are not likely to benefit from the institute.
The institute will provide training accounts to participants who register to attend at one of the Host Sites. The training accounts will be provided on multiple HPC systems which are described in the Resources tab in the left menu bar.
Participants watching the YouTube live webcast will not be provided with training accounts, due to security policies and procedures for settting up training accounts.
Participants are expected to have the following background, knowledge and experience:
Familiarity with programming in Fortran, C, C++, Python or a comparable language
Familiarity with Linux
Familiarity with use of clusters and/or HPC systems
How to Participate
Participants may attend the institute at one of the Host Sites to receive full support during the institute. At these sites, participants will be able to verbally ask questions of the presenters through two-way video conferencing facilities. Participants will receive training accounts on the available HPC systems. Staff will be available at each site to assist during hands-on sessions. Seating at each site is limited, and registration will be handled on a first-come first-served basis.
If your site is not a Host Site, you may encourage your organization to apply to become a Host Site. See the Call for Host Sites" side bar to apply to be a Host Site.
Alternatively, participants may view the live presentations via YouTube live, but with a significantly reduced level of support. Participants will be able to submit written questions through social media tools provided by the institute. Due to account allocation policies, participants will NOT be able to receive training accounts on the institute computing systems. Everyone wishing to view the YouTube live session must register.
How to Register
All participants attending one of the Host Sites or watching the YouTube live session must register. Register for the Host Site of your preference by following this link or use the "Registration" menu bar to the left.
See the sidebar to the left for the Agenda for the institute.
Argonne National Laboratory (ANL), the Blue Waters project at NCSA, the National Energy Research Scientific Computing Center (NERSC), Oak Ridge Leadership Computing Facility (OLCF), Pittsburgh Supercomputing Center, SciNet at the University of Toronto, and the Texas Advanced Computing Center (TACC).