Green Computing Opportunities & Strategy

Research output: NRELPresentation

Abstract

Computation is critical to emerging fields of data intensive research, enabling new methodologies, approaches and tools. As the rate of hardware efficiency gains slows, computational time and energy costs increase. To match pace with computation demand, new approaches are needed to keep the opportunity for impact open. Charles Tripp, lead of the Green Computing Catalyzer, discusses research efforts to improve software efficiency to enable faster, less energy-intensive computing.
Original languageAmerican English
Number of pages20
StatePublished - 2023

Publication series

NamePresented at the Joint Institute for Strategic Energy Analysis (JISEA) Annual Meeting, 25-27 April 2023, Golden, Colorado

NREL Publication Number

  • NREL/PR-6A50-87115

Keywords

  • algorithmic efficiency
  • artificial intelligence
  • data centers
  • deep learning
  • energy efficiency
  • green computing
  • high-performance computing

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