Scientific computing must adapt by integrating AI and prioritizing energy efficiency
By
Dennis Gannon
Summary
The article discusses the shifting landscape of advanced computing, where traditional scientific and engineering high-performance computing (HPC) is being overtaken by hyperscale cloud providers and AI workloads. It argues that scientific computing must evolve to integrate AI with traditional simulation methods while prioritizing energy-efficient approaches. The piece highlights the need for the HPC community to adapt to this new reality where hyperscalers dominate computing resources and influence.
Source
bskyScientific computing must adapt by integrating AI and prioritizing energy efficiencyscience.orgKey quotes
· 3 pulledThe center of gravity in advanced computing has transitioned away from traditional scientific and engineering high-performance computing (HPC), with the locus of influence shifted to hyperscale service providers.
Scientific computing must integrate AI with simulation and focus on energy-efficient methods and systems.
The HPC community must adapt to a new reality where hyperscalers dominate computing resources and influence.
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