NERSC

IBM Quantum Computer Demonstrates Next Step Towards Moving Beyond Classical Supercomputing

Retrieved on: 
Wednesday, June 14, 2023
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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.

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
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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.

Hewlett Packard Enterprise Ushers in New Era with World’s First and Fastest Exascale Supercomputer “Frontier” for the U.S. Department of Energy’s Oak Ridge National Laboratory

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Monday, May 30, 2022
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Hewlett Packard Enterprise (NYSE: HPE) today announced that Frontier, a new supercomputer that HPE built for the U.S. Department of Energys Oak Ridge National Laboratory (ORNL) , has reached 1.1 exaflops, making it the worlds first supercomputer to break the exascale speed barrier, and the worlds fastest supercomputer, according to the Top500 list of worlds most powerful supercomputers.

Key Points: 
  • Hewlett Packard Enterprise (NYSE: HPE) today announced that Frontier, a new supercomputer that HPE built for the U.S. Department of Energys Oak Ridge National Laboratory (ORNL) , has reached 1.1 exaflops, making it the worlds first supercomputer to break the exascale speed barrier, and the worlds fastest supercomputer, according to the Top500 list of worlds most powerful supercomputers.
  • View the full release here: https://www.businesswire.com/news/home/20220530005041/en/
    Frontier supercomputer at Oak Ridge National Laboratory (Photo: Oak Ridge National Laboratory and Hewlett Packard Enterprise)
    Frontier also ranked number one in a category, called mixed-precision computing, that rates performance in formats commonly used for artificial intelligence, with a performance of 6.88 exaflops.
  • These include larger, data-intensive workloads, to address demands for higher speed and congestion control for applications to run smoothly and boost performance.
  • In addition to Frontier, HPE is also delivering exascale supercomputers to the U.S. Department of Energys Argonne National Laboratory and Lawrence Livermore National Laboratory.

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

Retrieved on: 
Tuesday, March 8, 2022
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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
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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.