Brochure on the 2024 ASCR Workshop on Energy-Efficient Computing for Science

Vetter, Jeffrey [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)]; Ross, Rob [Argonne National Laboratory (ANL), Argonne, IL (United States)]; Aimone, Brad [Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)]; Amvrosiadis, George [Carnegie Mellon Univ., Pittsburgh, PA (United States)]; Ang, James A. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]; Austin, Brian [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)]; Coffee, Ryan [SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States). Linac Coherent Light Source (LCLS)]; Hovland, Paul D. [Argonne National Laboratory (ANL), Argonne, IL (United States)]; Kim, Hyesoon [Georgia Inst. of Technology, Atlanta, GA (United States). Georgia Tech Research Institute]; Lan, Zhiling [Univ. of Illinois, Chicago, IL (United States); Argonne National Laboratory (ANL), Argonne, IL (United States)]; Michelogiannakis, George [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)]; Mohror, Kathryn [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)]; Pedretti, Kevin [Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)]; Shalf, John [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)]; Sinclair, Matthew D. [Univ. of Wisconsin, Madison, WI (United States)]; Vuduc, Richard [Georgia Inst. of Technology, Atlanta, GA (United States). Georgia Tech Research Institute]; Yanguas-Gil, Angel [Argonne National Laboratory (ANL), Argonne, IL (United States)]

doi:10.2172/2476958

DOE OSTI · 2476958

Brochure on the 2024 ASCR Workshop on Energy-Efficient Computing for Science

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Abstract

Large-scale computing has enabled numerous scientific discoveries, including ground-breaking achievements facilitated by the US Department of Energy (DOE) supercomputers and advances in applied mathematics and computer science. While important advances were made in energy efficiency to enable exascale computing, continued efforts are needed to dramatically improve the energy efficiency of the next generation of high-performance computing (HPC) systems and, more broadly, AI data centers. Without substantial improvements in energy efficiency, the energy consumption associated with computing could become a limiting factor for future scientific discovery, national security, and technological advancement.

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Vetter, Jeffrey [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)], Ross, Rob [Argonne National Laboratory (ANL), Argonne, IL (United States)], Aimone, Brad [Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)], Amvrosiadis, George [Carnegie Mellon Univ., Pittsburgh, PA (United States)], Ang, James A. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Austin, Brian [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)], Coffee, Ryan [SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States). Linac Coherent Light Source (LCLS)], Hovland, Paul D. [Argonne National Laboratory (ANL), Argonne, IL (United States)], Kim, Hyesoon [Georgia Inst. of Technology, Atlanta, GA (United States). Georgia Tech Research Institute], Lan, Zhiling [Univ. of Illinois, Chicago, IL (United States); Argonne National Laboratory (ANL), Argonne, IL (United States)], Michelogiannakis, George [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)], Mohror, Kathryn [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)], Pedretti, Kevin [Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)], Shalf, John [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)], Sinclair, Matthew D. [Univ. of Wisconsin, Madison, WI (United States)], Vuduc, Richard [Georgia Inst. of Technology, Atlanta, GA (United States). Georgia Tech Research Institute], Yanguas-Gil, Angel [Argonne National Laboratory (ANL), Argonne, IL (United States)]. 2025-12-31. Brochure on the 2024 ASCR Workshop on Energy-Efficient Computing for Science. https://doi.org/10.2172/2476958

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