In This Message

Meetings & Workshops
– Julia for High-Performance Computing Tutorial (May 24)
– AI Training Series: AI for Science at Scale – Introduction (June 15)
Upcoming Downtimes
– Marble (June 13)
Center Announcements
– May 2023 OLCF User Conference Call – OLCF Storage
– Frontier Hackathon  – Call for Proposals (Submission deadline is May 26)
– 2023 Quantum Computing User Forum (Registration closes May 30)
– User Assistance Center Schedule
Community Events
– Parallel Applications Workshop, Alternatives To MPI+X (PAW-ATM) at SC23: Call for papers (Submissions close July 24, 2023)

Meeting & Workshops

Julia for High-Performance Computing Tutorial
May 24, 1:00 pm – 3:00 pm EDT
The Oak Ridge Leadership Computing Facility (OLCF) will host a (virtual) “Julia for High-Performance Computing Tutorial” via Zoom on May 24, 2023, from 1-4 PM EDT. OLCF, NERSC, and ALCF users are encouraged to attend. The proposed tutorial introduces participants to the Julia language for high-performance computing (HPC) applications. Julia proposes to fill a gap in the high-performance plus high-productivity space, a dynamic language built on top of LLVM with lightweight interoperability with C and Fortran code and a unified ecosystem for data science and reproducibility.

Register at:

AI Training Series: AI for Science at Scale – Introduction
June 15, 1:00 pm – 3:00 pm EDT

Machine learning (ML) is a subset of Artificial Intelligence (AI) that uses statistical learning algorithms to build applications that can automatically learn and improve from its experiences. Deep learning (DL) is a subset of ML that is inspired by the way a human brain filters information (like recognizing patterns and identifying objects). From a science point of view, both ML and DL can be applied to various scientific domains to analyze large datasets, handle noise correction, deal with error classification, and classify features in data.

This training will introduce AI/ML/DL principles used for science in an HPC environment. After learning the “basics”, participants will then be able to apply techniques learned to run hands-on examples using OLCF’s Ascent system.

For more information or to register, see

General sign-ups are still open, but registration for the hands-on portion is now closed due to high demand. Hands-on examples will be available after the event for everyone.

Upcoming Downtimes

  • Marble will be upgraded from OpenShift v4.10.52 to v4.10.59 starting at 08:00 AM on June 13 through 08:00 AM on June 14. During this time, Marble cluster should remain available.  Jupyter notebooks are stateful and single instance workloads which will be deleted/recreated as part of the node upgrade process.

Center Announcements

May 2023 OLCF User Conference Call – OLCF Storage
May 31, 12:00 pm-1:00 pm ET

The May OLCF User Conference Call will be held from noon until 1:00 PM Eastern Time on Wednesday, May 31. During this call, OLCF’s Suzanne Parete-Koon and Jesse Hanley will give an overview of the many areas that OLCF has for storage, how to move data between them, and give best practices for using the Orion Filesystem. For more information, see the event page at

Frontier Hackathon  – Call for Proposals

The OLCF, in collaboration with HPE, AMD, and ECP, will be holding a (virtual) Frontier Hackathon on June 28-30, 2023. Application and software teams with existing Frontier allocations are invited to submit proposals to participate in the hackathon. Once the proposal deadline is reached, we will review all proposals and select 10 teams to attend. During the event, the selected teams will work toward their development goals (porting, debugging, optimization, etc.) on Frontier with the help of OLCF, HPE, AMD, and ECP staff. If this particular date does not work for you, fear not – we’ll be holding multiple Frontier Hackathons throughout 2023 so you can submit a proposal for a later date. For more information, or to submit a proposal, please see the additional details below.

Main Frontier Hackathons page:

  • Go here for general information on what to expect, who should apply, and a table of hackathons dates.

June 2023 Frontier Hackathon page:

  • Go here to submit a proposal for the event taking place on June 28-30, 2023.
  • The submission deadline is May 26, 2023.

2023 Quantum Computing User Forum

The 2023 Quantum Computing User Forum will be held in-person on July 18th-19th. A poster session will be held on July 18th, and all participants are invited to submit your abstracts, following the directions in the registration tab on the website. More information about the event, including a list of confirmed keynote and invited speakers, workshops, and also the deadlines for poster abstract submissions, is available online:

All attendees must register for this in person event by May 30th, and a registration fee of $100 is required. The link can be found on the Forum webpage above.

If you have any questions specific to the forum, see contacts listed on the webpage or email If you have any user program or OLCF related questions, please contact

User Assistance Center Schedule

The OLCF User Assistance Center will be closed on May 29 due to ORNL-observed holidays. The normal user assistance schedule will resume on Tuesday, May 30. NOTE: The ORNL Computer Operations staff will remain available for limited troubleshooting 24 hours a day.

Community Events

Parallel Applications Workshop, Alternatives To MPI+X (PAW-ATM) at SC23: Call for papers
Submissions close July 24, 2023

The PAW-ATM organizing committee has open the applications for full-length papers and abstracts talks. The workshop will take place at SC23 and it is intended to provide a forum for discussion of supercomputing-scale parallel applications and their implementation in programming models outside of the dominant MPI+X paradigm. Topics of interest include but are not limited to: Novel application development using high-level parallel programming languages and frameworks, Performance evaluation of applications developed using alternatives to MPI+X and comparisons to standard programming models,  Libraries using or supporting alternatives to MPI+X and Benefits of hardware abstraction and data locality on algorithm implementation. More information on topics and abstract submission can be found at: