The addition of the spatial data flow accelerator into LLNL’s Livermore Computing Center is part of an effort to upgrade the Lab’s cognitive simulation (CogSim) program.
Topic: Co-Design
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LLNL participates in the ISC High Performance Conference (ISC23) on May 21–25.
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Highlights include MFEM community workshops, compiler co-design, HPC standards committees, and AI/ML for national security.
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AI/ML | Biology/Biomedicine | Co-Design | Collaborations | Compiler Technology | Computational Math | Computational Science | Computer Vision | Data Science | Deep Learning | Discrete Mathematics | HPC Systems and Software | Natural Language Processing | Open-Source Software | Performance, Portability, and Productivity | Programming Languages and Models
LLNL and Amazon Web Services (AWS) have signed a memorandum of understanding to define the role of leadership-class HPC in a future where cloud HPC is ubiquitous.
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Technologies developed through the Next-Generation High Performance Computing Network project are expected to support mission-critical applications for HPC, AI and ML, and high performance data analytics. Applications could include stockpile stewardship, fusion research, advanced manufacturing, climate research and other open science on future ASC HPC systems.
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The MAPP incorporates multiple software packages into one integrated code so that multiphysics simulation codes can perform at scale on present and future supercomputers.
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LC sited two different AI accelerators in 2020: the Cerebras wafer-scale AI engine attached to Lassen; and an AI accelerator from SambaNova Systems into the Corona cluster.
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LLNL and partners have awarded a subcontract to Dell Technologies for additional supercomputing systems to support the NNSA's nuclear deterrent mission.
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In a talk recorded for the 2020 LLNL Computing Virtual Expo, Computing principal deputy associate director and ECP deputy director Lori Diachin describes the ECP’s goals and the Laboratory's role.
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Proxy apps serve as specific targets for testing and simulation without the time, effort, and expertise that porting or changing most production codes would require.
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Co-Design | Computational Math | Computational Science | Discrete Mathematics | Emerging Architectures | HPC Systems and Software | Hydrodynamics | Open-Source Software | Performance, Portability, and Productivity | Programming Languages and Models | Proxy Apps | Software Engineering | Software Libraries | Solvers | Storage, File Systems, and I/O | Transport
Highlights include recent LDRD projects, Livermore Tomography Tools, our work with the open-source software community, fault recovery, and CEED.
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AI/ML | Co-Design | Computational Math | Computational Science | Data Science | Deep Learning | Discrete Mathematics | Fault Tolerance and Resilience | HPC Architectures | HPC Systems and Software | Hybrid/Heterogeneous | Open-Source Software | Resource and Workflow Management | Software Build and Installation
Veritas provides a method for validating proxy applications to ensure that they capture the intended characteristics of their parents.
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