This week, NERSC and NVIDIA hosted the Deep Learning at Scale hybrid training, helping users explore distributed training for deep learning models on HPC systems like Perlmutter. Over 140 users participated, expanding their understanding of large-scale deep learning models! Want to go further with Deep Learning at Scale? Join Berkeley Lab Computing Sciences in Berkeley June 23–27 for Deep Learning for Science School, a five-day immersive program bringing together researchers and engineers to explore the latest advances in deep learning and generative AI (GenAI). Attendees will gain a strong understanding of what GenAI is, the types of problems it excels at, and how to choose, build, train, and deploy GenAI models for scientific applications. Learn more and apply: https://bit.ly/41LXkvS U.S. Department of Energy (DOE) Berkeley Lab
National Energy Research Scientific Computing Center (NERSC)
Research Services
Berkeley, California 3,855 followers
Accelerating scientific discovery at the DOE Office of Science through high performance computing and data analysis.
About us
The National Energy Research Scientific Computing Center (NERSC) is the primary scientific computing facility for the Office of Science in the U.S. Department of Energy. More than 6,000 scientists use NERSC to perform basic scientific research across a wide range of disciplines, including climate modeling, research into new materials, simulations of the early universe, analysis of data from high energy physics experiments, investigations of protein structure, and a host of other scientific endeavors. NERSC is known as one of the best-run scientific computing facilities in the world. It provides some of the largest computing and storage systems available anywhere, but what distinguishes the center is its success in creating an environment that makes these resources effective for scientific research. NERSC systems are reliable and secure, and provide a state-of-the-art scientific development environment with the tools needed by the diverse community of NERSC users. NERSC offers scientists intellectual services that empower them to be more effective researchers. For example, many of our consultants are themselves domain scientists in areas such as material sciences, physics, chemistry and astronomy, well-equipped to help researchers apply computational resources to specialized science problems.
- Website
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https://www.nersc.gov/
External link for National Energy Research Scientific Computing Center (NERSC)
- Industry
- Research Services
- Company size
- 51-200 employees
- Headquarters
- Berkeley, California
- Type
- Government Agency
- Founded
- 1974
- Specialties
- High Performance Computing
Locations
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Primary
Get directions
1 Cyclotron Rd
Berkeley, California 94720, US
Employees at National Energy Research Scientific Computing Center (NERSC)
Updates
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High performance computing can be challenging, but NERSC's User Engagement Group has your back! In this video, NERSC performance engineer Lisa Claus demonstrates how to use Jupyter to access Perlmutter, with a detailed walk-through of what Jupyter has to offer a user. Learn more: https://bit.ly/4hQwvfq U.S. Department of Energy (DOE) Berkeley Lab Berkeley Lab Computing Sciences
How to log in to Perlmutter with Jupyter
https://www.youtube.com/
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⚡⚡ Exciting opportunity for researchers looking to deepen their expertise in deep learning and generative AI! Berkeley Lab’s DL4Sci Summer School is back for 2025—offering hands-on training, expert-led sessions, and a chance to connect with leaders in the field. ⚡⚡ Don’t miss this chance to level up your research! Apply now: https://lnkd.in/gWA-HePv #DeepLearning #AI4Science
🚨 Attention Graduate students, postdoctoral researchers, academics, domain scientists, and engineers! 🚨 We are now accepting applications for the 2025 Deep Learning for Science (DL4SCI) Summer School, a five-day immersive program that will bring together researchers and engineers to explore the latest advances in deep learning and generative AI. You'll gain hands-on experience with cutting-edge deep learning techniques, network with experts in the field, and take your research to the next level. The event, hosted by Berkeley Lab’s Computing Sciences Area, will be held in Berkeley from June 23 to 27. It will feature in-depth lectures, research talks, and hands-on tutorials on state-of-the-art techniques, including transformers, large language models, diffusion models, flow matching, and generative adversarial networks, as well as practical sessions on best practices for running deep learning at scale on high-performance computing systems. Learn more: https://lnkd.in/gxRbD-V8 _______________________________________________________ cc: U.S. Department of Energy (DOE) U.S. Department of Energy Office of Science N. Benjamin Erichson Wahid Bhimji Shashank Subramanian Mohammed Abdelwahhab #DeepLearning #AI #MachineLearning #SummerSchool #Science #Research University of California, Berkeley National Energy Research Scientific Computing Center (NERSC)
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Starting now, through the new IBM Quantum Innovation Center, approved NERSC users will be able to access IBM's quantum computers for their research! This program offers researchers the chance to use this next-generation technology and to take advantage of expert guidance from both NERSC and IBM. "Our IBM Quantum Innovation Center provides NERSC users with access to mainstream quantum technology and covers limited but generous access,” said NERSC quantum researcher Jan Balewski. “Equally valuable is the technical support offered to user projects by both NERSC and IBM staff as part of the innovation center. This guidance helps users navigate the steep learning curve associated with quantum computing, enhancing the overall experience and success of their projects.” Learn more and apply: https://bit.ly/4auxgsg U.S. Department of Energy (DOE) Berkeley Lab Berkeley Lab Computing Sciences
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This week, Berkeley Lab and NERSC are proud to host the OpenMP Architecture Review Board Language Committee for a productive face-to-face meeting, working toward the future of the portable OpenMP API beyond the recent release of OpenMP 6.0. The committee put their heads together to discuss a range of topics in the areas of accelerators, C/C++, Fortran, tasking, examples, and more. It's been a great chance to connect, innovate, and plan! #OpenMP #NERSC #BerkeleyLab #HPC #ParallelProgramming #SoftwareDevelopment #GPU #Fortran #C++ #ProgrammingLanguage Bronis de Supinski Dr. Michael Klemm U.S. Department of Energy (DOE) Berkeley Lab Computing Sciences
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Last week staff from Berkeley Lab, including from NERSC, were honored with the U.S. Department of Energy (DOE) Secretary of Energy Achievement Award for their work on the Exascale Computing Project (ECP). ECP was a seven-year, $1.8-billion collaboration between six DOE laboratories to create the world’s first sustainable exascale computing ecosystem. Over the course of the project, nearly 3,000 researchers and engineers received funding, leading to the development and enhancement of key scientific application codes to provide breakthrough simulation results on exascale computers. Additionally, more than 70 exascale-capable software technology products were delivered in an integrated package widely used by the high performance computing (HPC) community. NERSC is proud to have been a part of this groundbreaking work! Learn more: https://bit.ly/3CmqAiZ Berkeley Lab Computing Sciences
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Materials scientists are solving difficult scientific problems and identifying the materials of the future, and NERSC is helping make it happen. Using the Perlmutter supercomputer at NERSC, researchers recently tackled a long-standing problem in industrial chemistry: creating a catalyst with long-term stability at high temperatures that converts methane and carbon dioxide into a useful chemical product. An accelerated computing process using Perlmutter's GPUs allowed the team to identify a way of stabilizing an existing catalyst to make it longer-lived and more efficient in producing syngas, an industrial product that serves as the base for many chemicals. Learn more: https://bit.ly/40fitNh U.S. Department of Energy (DOE) Berkeley Lab Berkeley Lab Computing Sciences
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ICYMI: NERSC's annual GPUs for Science Day event is evolving and will now be called HPC Horizons! This evolution reflects the event's focus on exploring the future of high-performance computing (HPC) through the lens of both cutting-edge technology and the diverse community driving its advancement. Join us in Berkeley on February 12 for HPC Horizons 2025 – Science, Technology and Community Showcase: Accelerating Diversity in HPC. It'll be an engaging and insightful look at what's to come in HPC. Breakfast, lunch, and afternoon refreshments will be provided. View the agenda and register: https://bit.ly/3OQTF90 U.S. Department of Energy (DOE) Berkeley Lab Berkeley Lab Computing Sciences
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NERSC Systems Department Head Tina Declerck first came to NERSC in 1997—and after decades of fun and challenge in HPC for science, she's moving on to a new phase of life. We wish her well as she retires at the end of the year! Learn more about Tina's history at NERSC, what kept her going, and the adventures she's planning for life after NERSC: https://bit.ly/4gEN6Cc U.S. Department of Energy (DOE) Berkeley Lab Berkeley Lab Computing Sciences
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NERSC's annual GPUs for Science Day event is evolving and will now be called HPC Horizons. This evolution reflects the event's focus on exploring the future of high-performance computing (HPC) through the lens of both cutting-edge technology and the diverse community driving its advancement. Join us February 12 at Berkeley Lab for HPC Horizons 2025 - Science, Technology and Community Showcase: Accelerating Diversity in HPC. It'll be an engaging and insightful day look at what's to come in HPC. Register: https://bit.ly/3Zx5rKI View the agenda: https://bit.ly/3OQTF90 U.S. Department of Energy (DOE) Berkeley Lab Computing Sciences