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| DOE Exascale Computing Project | |
|---|---|
| Name | DOE Exascale Computing Project |
| Established | 2016 |
| Location | United States |
DOE Exascale Computing Project
The DOE Exascale Computing Project coordinates efforts to develop supercomputer systems capable of exascale performance for applications in national security, energy, climate, materials science, and nuclear physics. It brings together national laboratories such as Oak Ridge National Laboratory, Argonne National Laboratory, and Lawrence Livermore National Laboratory with academic institutions like Massachusetts Institute of Technology, Stanford University, and University of California, Berkeley, and industry partners including Intel Corporation, NVIDIA, and Cray Inc..
The project was established to deliver production-ready exascale systems integrating hardware from firms like IBM, Hewlett Packard Enterprise, and AMD with software ecosystems developed by teams at Sandia National Laboratories, Los Alamos National Laboratory, and research groups at Princeton University, Columbia University, and University of Illinois Urbana–Champaign. Its scope spans from device physics efforts at Semiconductor Research Corporation to application scaling work used by researchers at National Aeronautics and Space Administration, NOAA, and Department of Defense. The initiative aligns with broader strategic programs such as the National Strategic Computing Initiative and collaborates with international efforts in EuroHPC and institutes like Riken and Cineca.
Launched in 2016 following strategic reviews by U.S. Department of Energy leadership and advisory reports from bodies like the National Academies of Sciences, Engineering, and Medicine, the project set milestones for delivering exascale capability to scientific users. Early objectives included co-design of hardware and software with partners at NVIDIA, Intel Corporation, and ARM Holdings to optimize performance for applications developed at Lawrence Berkeley National Laboratory and university groups at University of Texas at Austin and Georgia Institute of Technology. The roadmap referenced prior initiatives such as the Oak Ridge Titan deployment and lessons from systems like IBM Summit and Fugaku to guide procurement and software ecosystems.
Governance is overseen by DOE program offices coordinating national laboratories including Oak Ridge National Laboratory, Argonne National Laboratory, Lawrence Livermore National Laboratory, Sandia National Laboratories, and Los Alamos National Laboratory, with advisory input from academic partners at University of Michigan, Cornell University, and University of California, Santa Barbara. Technical direction is provided through working groups drawing on expertise from corporations such as Cray Inc. and Dell Technologies and standards organizations like IEEE and OpenMP Architecture Review Board. Management structures reflect practices from programs run by National Science Foundation and Defense Advanced Research Projects Agency.
Research spans processor microarchitecture with teams collaborating with Intel Corporation and AMD on many-core designs, accelerator integration pioneered by NVIDIA and Xilinx, memory and storage innovation influenced by Micron Technology and Seagate Technology, and interconnect technologies referencing work from Mellanox Technologies. Software research engages projects in programming models such as OpenMP, MPI, CUDA, and research languages from Cray Inc. and academic groups at University of Illinois Urbana–Champaign and Carnegie Mellon University. Numerical libraries and frameworks are developed in conjunction with teams at Lawrence Berkeley National Laboratory and Argonne National Laboratory and informed by standards from BLAS and LAPACK developer communities.
Application co-design focused on large-scale simulations in climate modeling used by groups at NOAA and National Center for Atmospheric Research, materials discovery projects linked to National Renewable Energy Laboratory and Argonne National Laboratory, fusion energy simulations tied to Princeton Plasma Physics Laboratory and ITER, and nuclear physics codes developed with Brookhaven National Laboratory and Thomas Jefferson National Accelerator Facility. Computational chemistry efforts draw on collaborations with Caltech and Scripps Research, while machine learning integrations involve researchers from Google DeepMind collaborators, Facebook AI Research, and university groups at University of Toronto.
Funding is provided by the U.S. Department of Energy Office of Science with allocations coordinated among national laboratories including Oak Ridge National Laboratory and Argonne National Laboratory and programmatic oversight similar to projects at National Energy Research Scientific Computing Center. Industry partnerships include procurement and co-design agreements with IBM, Hewlett Packard Enterprise, Intel Corporation, NVIDIA, and AMD, and academic collaborations involve institutions such as Massachusetts Institute of Technology, Stanford University, and Princeton University. The project also interacts with federal agencies like National Aeronautics and Space Administration and National Science Foundation on cross-cutting initiatives.
Milestones include delivery and integration of pre-exascale systems informed by the architecture of IBM Summit and procurement awards that engaged vendors like Cray Inc. and Hewlett Packard Enterprise; demonstration of scalable application performance in collaborations with Lawrence Berkeley National Laboratory and successful software stacks leveraging contributions from Argonne National Laboratory and Sandia National Laboratories. The project influenced deployments at facilities such as Oak Ridge Leadership Computing Facility and stimulated advances recognized in community reports by the National Academies of Sciences, Engineering, and Medicine and policy briefings to United States Congress.
Category:United States Department of Energy