11 parallel-computing "Computer Vision Center" positions at Oak Ridge National Laboratory
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(e.g., high-radix topologies, CXL, UCIe, or comparable), routing, and in-network computing. Expertise in advanced storage systems for HPC, including parallel file systems, storage-class memory
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, the first supercomputer to break the exascale barrier and Orion, a 700 petabytes Lustre parallel file system. As an important part of the broader High-Performance Computing (HPC) infrastructure, the
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Ridge Leadership Computing Facility (OLCF). This position resides in the Advanced Computing for Chemistry and Materials Group in the National Center for Computational Sciences (NCCS), Computing and
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, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security teams, scientists, and IT leadership to
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in the National Center for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of
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Leadership Computing Facility (OLCF), deploying the world’s first exascale supercomputer system (Frontier), and deploying some of the largest parallel file systems in the world. As a U.S. Department of
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Requisition Id 16407 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Laboratory (ORNL) operates the fastest High Performance Computers (HPC) in the world. We
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Requisition Id 17244 Overview The National Center for Computational Sciences (NCCS) at Oak Ridge National Laboratory (ORNL) operates the fastest High Performance Computers (HPC) in the world. We
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, the first supercomputer to break the exascale barrier and Orion, a 700 petabytes Lustre parallel file system. As an important part of the broader High-Performance Computing (HPC) infrastructure, the
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leadership- class computing for science and engineering; focuses on grand-challenge science and engineering applications; procures largest-scale computer systems (beyond typical vendor design points) and