Hello Users, We encourage everyone to take a look at some of the upcoming training events and register for them soon! Please reach out to the NERSC training team at nersc-training@lbl.gov for more information or questions. 1) How to Write an Effective ERCAP Proposal and Get the Most of Perlmutter, September 26 As part of the NERSC User Group (NUG) Annual Meeting <https://sites.google.com/lbl.gov/nug-2023/>, we will be holding a session on how to prepare an Energy Research Computing Allocation Proposal (ERCAP) Session. This session will be immediately followed by: "How to Make the Most of Perlmutter" (from your allocations) which will be a panel with Perlmutter experts. Bring your questions! For more information and to register to attend, please see https://www.nersc.gov/ercap-2023-nug/. 2) NERSC SF API Training, September 27 The SF API (Application Programming Interface) allows NERSC users to interact with our systems in a programmatic way using a REST interface. The API can be used to enable complex scientific workflows to monitor and run jobs on Perlmutter, build interactive apps, and much more! This training will cover: - Interact with the REST API through a web interface - Authenticating with the API to running jobs - Using the API with higher level languages like python This tutorial is part of the 2023 NUG Annual Meeting <https://sites.google.com/lbl.gov/nug-2023/>. Training accounts will be provided if needed. This event is fully hybrid, with in-person attendance welcome. For more information and to register to attend, please see https://www.nersc.gov/sfapi-nug-2023/. 3) Quantum Computing with experts from Xanadu.ai, September 27 Come learn about Quantum Computing with experts from Xanadu.ai, including how to use their open-source software library: PennyLane <https://www.xanadu.ai/products/pennylane/>. This tutorial is part of the 2023 NUG Annual Meeting <https://sites.google.com/lbl.gov/nug-2023/>. Training accounts will be provided if needed. This event is fully hybrid, with in-person attendance welcome. For more information and to register to attend, please see https://www.nersc.gov/xanadu-nug-2023/. 4) OpenMP Offload 2023 Training Series, Part 1 on Sept 29 and Part 2 on Oct 6 The OpenMP API is a scalable model that gives parallel programmers a simple and flexible interface for developing portable parallel applications in C/C++ and Fortran. This 4-part OpenMP Offload training will enable application teams and developers to accelerate their codes with the use of GPUs, as well as exploit the latest OpenMP functionality to program multi-core platforms like Perlmutter and Frontier. This training series, offered by OLCF and NERSC, is also part of the Performance Portability training series <https://www.olcf.ornl.gov/performance-portability-training-series/>. Part 1 <https://www.nersc.gov/openmp-offload-2023-training-part1-basics-of-offload/> on Sept 29 will cover a general overview of the OpenMP programming model and cover the basics of using OpenMP directives to offload work to GPUs. The hands-on sessions will be performed on OLCF Frontier and NERSC Perlmutter. Part 2 <https://www.nersc.gov/openmp-offload-training-part2-optimization-data-movement-oct2023/> on October 6 will cover optimization strategies and show how efficient data movement and a better understanding of the hierarchy of parallelism available can lead to improved performance. We will also cover best practices for OpenMP Offload. The hands-on sessions will be performed on OLCF Frontier and NERSC Perlmutter. For more information and to register for each part, please refer to the event web pages linked above. 5) GPUs for Science Day, Oct 12 (in person, registration deadline Sept 28) GPUs have been instrumental in ground-breaking innovations, from scientific simulations to generative AI. This year, NERSC is proud to host the annual GPUs for Science event *in person*. Our goal is to celebrate recent GPU-enabled scientific achievements and inspire future roadmaps. The day will start with an introduction to three DOE compute facilities (NERSC, ALCF, and OLCF), followed by a series of talks on GPU-accelerated scientific applications and emerging software programming models. The day will wrap up with a panel of leading industry experts discussing their vision for upcoming GPU ecosystems (NVIDIA, AMD, and Intel). With increasing diversity in GPU hardware and software, users interested in performance and portability across DOE supercomputers are highly encouraged to join. The event is open to everyone interested in learning about the exciting science in action and registration is free. For additional details including the agenda and to register by Sept 28, please visit https://www.nersc.gov/gpus-for-science-day-2023. _______________________________________________ Users mailing list Users@nersc.gov