Weekly Update: August 17, 2022
In This Message
Center Announcements
– Quantum Computing User Forum
Meetings & Workshops
– Using R on HPC Clusters Webinar (August 17,19)
– Focus on Ally Skills Webinar (August 30)
– Nsight Systems and Nsight Compute Profiling Workshop (August 31)
– Data Visualization & Analytics Series: ParaView at OLCF (September 15)
– OLCF GPU Hackathon (Oct 17, 25-27)
Upcoming Downtimes
– Andes, DTN, SPI DTN, HPSS (August 23)
– Onyx, Marble, Jupyter notebooks (August 23, 24)
Center Announcements
Quantum Computing User Forum
The OLCF is pleased to announce that the 2022 Quantum Computing User Forum will be held on August 23. The purpose of the forum is to highlight the latest research from users of the Quantum Computing User Program and to build a community for exchanging ideas and resources within the field. The event will be strictly virtual due to local health and safety policies. More information about the event, a list of confirmed speakers, and registration information are available here: https://www.olcf.ornl.gov/calendar/quantum-computing-user-forum-2022/
In addition, the user forum will host a one-day workshop on August 24th sponsored by IBM Quantum on scaling quantum computing applications. Registration for the user forum includes access to the virtual workshop and more details will be provided on the forum website. If you have any questions, please contact help@olcf.ornl.gov.
Meetings & Workshops
Using R on HPC Clusters Webinar
August 17,19 1:00 – 4:00 pm EDT
This OLCF hosted tutorial Webinar helps users learn a basic workflow for how to use R on an HPC cluster. The tutorial will focus on parallel computing as a means to speed up R scripts on a cluster computer. Many packages in R offer some form of parallel computing yet they rely on a much smaller set of underlying approaches: multithreading in compiled code, the unix fork, and MPI. The tutorial will take a narrow path to focus on packages that directly engage the underlying approaches, yet are easy to use at a high-level. This workshop is targeted for users of OLCF, CADES, ALCF and NERSC. Users who do not already have accounts on those system are welcome to attend the lectures but will not be able to participate in all of the hands-on activities.
To learn more and register: https://www.olcf.ornl.gov/calendar/using-r-on-hpc-clusters-webinar/
Focus on Ally Skills Webinar
August 30, 2:00 -3:00 pm EDTThis webinar, brought to you by the ECP HPC Workforce Development and Retention Action Group, explains why allyship in the workplace is important and focuses on teaching specific ally skills such as listening, amplifying marginalized voices, and speaking up when it is uncomfortable. The invited speaker is Valerie Aurora who is the founder of Frame Shift Consulting, the leading provider of ally skills training for technology companies around the world. She is a former software engineer and has taught practical, actionable ally skills to more than 4000 people in 11 countries. Registration is free and open the public.
For more details and to register see: https://www.exascaleproject.org/event/focus-on-ally-skills/
Nsight Systems and Nsight Compute Profiling Workshop
August 31, 1:00 -3:00 pm EDTNVIDIA® Nsight™ Systems is a system-wide performance analysis tool designed to visualize an application’s algorithms, help you identify the largest opportunities to optimize, and tune to scale efficiently across any quantity or size of CPUs and GPUs. This OLCF hosted workshop, given by NVIDIA, will show how to use Nsight Systems and Nsight Compute for tracing an HPC application. Users from ALCF, NERSC and OLCF are encouraged to register. If you do not have an account at one of those centers, you are welcome to register watch the lectures but we will not be able to provide you a compute resource for the hands-on parts of the course.
Please find more details and registration here: https://www.olcf.ornl.gov/calendar/nsight-systems-and-nsight-compute-profiling-workshop/
Data Visualization & Analytics Series: ParaView at OLCF
September 15, 1:00 – 3:00 pm EDT
ParaView is an open-source data analysis and visualization application that allows users to quickly build visualizations to analyze their data. Available in both a GUI mode and a batch mode, ParaView is able to analyze extremely large datasets using distributed memory computing resources. This beginner-friendly event will provide an overview of how to access ParaView at OLCF and a tutorial on how to use ParaView to visualize different datasets on Andes.
Only users with moderate security enclave projects (i.e. able to access Summit/Andes) can access the tutorial datasets already downloaded on our filesystem. However, others are welcome to sign up, attend the presentation, and are encouraged to download the public datasets for themselves. Additionally, all examples and datasets will continue to be available after the event for Moderate users to access and work with on their own. For more information or to register, see https://www.olcf.ornl.gov/calendar/paraview-at-olcf/
OLCF GPU Hackathon
October 17, 25-27
Do you have an application that needs to be ported to (or optimized on) GPUs? If so, why not work toward your GPU development goals surrounded by experts in the field? This hackathon is a multi-day coding event designed to help teams of three to six developers accelerate their own codes on GPUs using a programming model, or machine learning framework of their choice. Each team is assigned mentors for the duration of the event.
For more information, or to submit a proposal, please visit https://www.openhackathons.org/s/siteevent/a0C5e000005U7S4EAK/se000127 (The deadline to submit is August 17, 2022)
Upcoming Downtimes
– Andes, DTN, SPI DTN, and HPSS will be unavailable from 7:00 AM until midnight on Tuesday, August 23
– Work will be performed on Onyx and Marble from 8:00 AM August 23 until 8:00 AM August 24. During these times, Jupyter notebooks will be restarted, so in-flight processing will be halted but the notebook state will be stored. Otherwise, workflows should migrate between servers in the respective clusters and user impact is not anticipated.