National Energy Research Scientific Computing Center

IBM Quantum Computer Demonstrates Next Step Towards Moving Beyond Classical Supercomputing

Retrieved on: 
Wednesday, June 14, 2023
CERN, Learning, National Energy Research Scientific Computing Center, IBM, Cleveland Clinic, University of Chicago, Nature, University of California, Berkeley, Particle physics, Senior, IBM Quantum Experience, Fertilizer, Health care, E.ON, University, Eagle, RIKEN, Research, Oak Ridge National Laboratory, Lawrence Berkeley National Laboratory, Computer, IBM Research, Organization, UC, Algorithm, NERSC, Purdue University, ExxonMobil, Quantum, IBM Fellow, Wells Fargo, Environment, NYSE, DESY, Typesetting, Microscope, Boeing

One of the ultimate goals of quantum computing is to simulate components of materials that classical computers have never efficiently simulate.

Key Points: 
  • One of the ultimate goals of quantum computing is to simulate components of materials that classical computers have never efficiently simulate.
  • But today's quantum systems are inherently noisy and they produce a significant number of errors that hamper performance.
  • In their experiment, the IBM team demonstrates that it is possible for a quantum computer to outperform leading classical simulations by learning and mitigating errors in the system.
  • As IBM expands its quantum technology stack, research institutions and private-sector leaders are mobilizing across industries for which quantum holds immediate potential.

IBM Quantum Computer Demonstrates Next Step Towards Moving Beyond Classical Supercomputing

Retrieved on: 
Wednesday, June 14, 2023
CERN, Learning, National Energy Research Scientific Computing Center, IBM, Cleveland Clinic, University of Chicago, Nature, University of California, Berkeley, Particle physics, Senior, IBM Quantum Experience, Fertilizer, Health care, E.ON, University, Eagle, RIKEN, Research, Oak Ridge National Laboratory, Lawrence Berkeley National Laboratory, Computer, IBM Research, Organization, UC, Algorithm, NERSC, Purdue University, ExxonMobil, Quantum, IBM Fellow, Wells Fargo, Environment, NYSE, DESY, Typesetting, Microscope, Boeing

One of the ultimate goals of quantum computing is to simulate components of materials that classical computers have never efficiently simulate.

Key Points: 
  • One of the ultimate goals of quantum computing is to simulate components of materials that classical computers have never efficiently simulate.
  • But today's quantum systems are inherently noisy and they produce a significant number of errors that hamper performance.
  • In their experiment, the IBM team demonstrates that it is possible for a quantum computer to outperform leading classical simulations by learning and mitigating errors in the system.
  • As IBM expands its quantum technology stack, research institutions and private-sector leaders are mobilizing across industries for which quantum holds immediate potential.

HPE and Tokyo Tech Collaborate to Build the Next Generation TSUBAME4.0 Supercomputer for Artificial Intelligence, Scientific Research, and Innovation

Retrieved on: 
Friday, May 19, 2023
Technology, Research, Software, Hardware, University, Data Management, Science, Education, Artificial Intelligence, National Energy Research Scientific Computing Center, GSIC, HPE, Medicine, Multimedia, Tech, Reproduction, Computing, School of Computing, Hewlett Packard Enterprise, Cray, NVIDIA, HPC, Engineering, School, Drug discovery, Japan, AI, NYSE, Medical device, Tokyo Institute of Technology

View the full release here: https://www.businesswire.com/news/home/20230519005248/en/

Key Points: 
  • View the full release here: https://www.businesswire.com/news/home/20230519005248/en/
    Tokyo Tech is one of the world’s leading universities in science and technology.
  • TSUBAME4.0, which was procured under the Japanese government procurement rules and was awarded to HPE Japan, will be fully operational in spring of 2024.
  • TSUBAME4.0 will provide significantly higher performance to address the computational demands of many users, serving as a “supercomputer for everyone”.
  • GSIC of Tokyo Tech is the first university to adopt GPU-enabled supercomputers1, has gained recognition for delivering one of the most advanced, cutting-edge supercomputer centers in the world.

General Atomics Scientists Leverage DOE Supercomputers to Advance Fusion Energy

Retrieved on: 
Wednesday, August 10, 2022
Climate change, Oak Ridge Leadership Computing Facility, University of California, San Diego, GLOBE, CA, Technology, San Diego Supercomputer Center, OLCF, Behavior, Computational science, General Atomics, SDSC, UC, Department, GA, NERSC, Plasma, Lawrence Berkeley National Laboratory, GPU, DIII-D, ALCC, Science, Candy, Nuclear energy, National Energy Research Scientific Computing Center, DOE, Medicine, Summit, Ceramic

A key element of the drive to practical fusion energy is accurately simulating the behavior of the fusion fuel during operation.

Key Points: 
  • A key element of the drive to practical fusion energy is accurately simulating the behavior of the fusion fuel during operation.
  • These simulations allow researchers to test theories and design more effective experiments on devices like the DIII-D National Fusion Facility.
  • Such simulations require enormous computing power, and many can only be run effectively on high-end supercomputers like those operated by the DOE.
  • https://www.ga.com/images/BlogFeaturedImages/ga-scientists-leverage-DOE-...
    About General Atomics: Since the dawn of the atomic age, General Atomics innovations have advanced the state of the art across the full spectrum of science and technology from nuclear energy and defense to medicine and high-performance computing.

Red Hat Joins Forces with U.S. Department of Energy Laboratories to Bridge the Gap Between High Performance Computing and Cloud Environments

Retrieved on: 
Tuesday, May 31, 2022
Data Management, Security, Technology, Software, Networks, Internet, United States Department of Energy, Red, National Energy Research Scientific Computing Center, GPU, HPC, Lawrence Berkeley National Laboratory, Red Hat, OpenShift, R, Red Hat, Inc. v. SCO Group, Inc., Flux, Running, AI, Perlmutter, Cloud computing, DOE, Deep learning, Shifter, NERSC, Artificial intelligence, Industry, Partnership, U.S. Department of Defense Strategy for Operating in Cyberspace, Collaboration, Linux, Organization, Gaps, Adoption, Machine learning, Sandia National Laboratories, CAGR, Lawrence Livermore National Laboratory, Laboratory, Television, Medical device, Video game console, List of Linux containers, Kubernetes

Together with the laboratories, Red Hat will focus on advancing four specific areas that address current gaps and help lay the groundwork for exascale computing, including standardization, scale, cloud-native application development, and container storage.

Key Points: 
  • Together with the laboratories, Red Hat will focus on advancing four specific areas that address current gaps and help lay the groundwork for exascale computing, including standardization, scale, cloud-native application development, and container storage.
  • From container security to scaling containerized workloads, common, accepted practices help HPC sites to get the most from container technologies.
  • High performance computing infrastructure must adapt to the requirements of today's heterogeneous workloads, including workloads that use containers.
  • High performance computing infrastructure is becoming more diverse and is increasingly being used to run non-traditional HPC workflows.

Lawrence Berkeley National Laboratory Offers Software Tools for Biosciences Research and Development

Retrieved on: 
Tuesday, March 8, 2022
Software, Technology, Science, Research, Industry, Life, National, Lawrence Berkeley National Laboratory, PHENIX, Synthetic biology, University, National Energy Research Scientific Computing Center, Joint, Automation, Research, United States Department of Energy national laboratories, Joint BioEnergy Institute, Nobel Prize, Advanced Light Source, Investment, U.S. Department of Defense Strategy for Operating in Cyberspace, Agile, DOE, Joint Genome Institute, DNA, List of life sciences, NERSC, University of California High-Performance AstroComputing Center, Software, U.S. Department of Energy, Office of Inspector General, Lab, 3D printing, Science

Lawrence Berkeley National Laboratory (Berkeley Lab), a U.S. Department of Energy National Laboratory, has launched a digital brochure featuring 16 open and closed source software and tools for imaging, omics, and synthetic biology research and development.

Key Points: 
  • Lawrence Berkeley National Laboratory (Berkeley Lab), a U.S. Department of Energy National Laboratory, has launched a digital brochure featuring 16 open and closed source software and tools for imaging, omics, and synthetic biology research and development.
  • Software is an increasingly important offering that Berkeley Lab provides to industry and the research community, said Paul Adams, Associate Laboratory Director for Biosciences.
  • The primary contributors to these software tools include Berkeley Labs Biosciences Area divisions, as well as the Labs Computational Research Division and the National Energy Research Scientific Computing Center (NERSC).
  • Berkeley Lab is a multiprogram national laboratory, managed by the University of California for the U.S. Department of Energys Office of Science.

MemVerge and Open Source Community Partnering to Protect Distributed HPC Apps with DMTCP

Retrieved on: 
Monday, November 15, 2021
Cloud, Mathematics, Efficiency, Application checkpointing, Adoption, Industry, NERSC, Lawrence Berkeley National Laboratory, GUI, National Energy Research Scientific Computing Center, MANA, Emergency & I, CEO, Graphics processing unit, SC21, Technology, Mobile computing, Data management, Distribution, AI, Running, Northeastern University, Partnership, Linux, VLSI, Research, Big data, Big memory, Memory, MATLAB, Cori, Cloud computing, CUDA, Python, MPI, HPC, Pharmaceutical industry, Video game console, Renewable energy

Checkpointing is commonly used by enterprise apps to minimize downtime but checkpointing is almost impossible for complex distributed HPC apps with massive data sets.

Key Points: 
  • Checkpointing is commonly used by enterprise apps to minimize downtime but checkpointing is almost impossible for complex distributed HPC apps with massive data sets.
  • The partnership includes MemVerge developers joining the DMTCP Project and contributing to open-source development; MemVerge providing commercial support for the open-source DMTCP software; and MemVerge integrating the fully tested and supported version into application-specific Big Memory Solutions.
  • "Distributed checkpointing is a perfect complement to ZeroIO In-Memory Snapshot technology that MemVerge has pioneered," said Charles Fan, CEO of MemVerge.
  • DMTCP (Distributed MultiThreaded Checkpointing) transparently checkpoints a single-host or distributed computation in user-space -- with no modifications to user code or to the O/S.

AMD EPYC™ Processors Accelerate High Performance Computing Capability in Perlmutter Supercomputer

Retrieved on: 
Thursday, May 27, 2021
California, San Francisco Bay Area, States of the United States, Advanced Micro Devices, Epyc, Perlmutter, National Energy Research Scientific Computing Center

The new Perlmutter supercomputer from NERSC, will drive the next wave of critical discoveries that help to solve the worlds biggest challenges.

Key Points: 
  • The new Perlmutter supercomputer from NERSC, will drive the next wave of critical discoveries that help to solve the worlds biggest challenges.
  • Expected later this year, phase 2 will add another 3,072 CPU-only nodes, each with two AMD EPYC 7763 processors and 512 GB of memory per node.
  • For more information about how AMD is enabling today and inspiring tomorrow, visit the AMD (NASDAQ: AMD) website , blog , Facebook and Twitter pages.
  • 1 MLN-086: Based on SPECrate_fp_base of 4/14/2021, 2x AMD EPYC 7763 scored 651 http://spec.org/cpu2017/results/res2021q1/cpu2017-20210219-24944.html ; 2x Intel Xeon Platinum 8380 scored 472 https://spec.org/cpu2017/results/res2021q2/cpu2017-20210330-25515.html .