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DOE OSTI · 2476965

Analog Computing for Science

Soloveichik, David·Tumeo, Antonino·Achour, Sara·Berloff, Natalia·Cardwell, Suma George·Chakrabartty, Shantanu·Hasler, Jennifer·Joshi, Siddharth·Roychowdhury, Jaijeet
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Abstract

Conventional digital computing faces fundamental physical limits: large scale computing systems already con sume tens of Megawatts of power, Dennard scaling has ended, and data movement costs dominate application performance. Next generation experimental facilities generate data at rates that overwhelm conventional pro cessing and demand real-time analysis at the source. Analog computing, which exploits the continuous dynamics of physical systems to perform computation, promises a transformative path toward orders-of-magnitude gains in energy efficiency and time-to-solution for scientific workloads.

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97 MATHEMATICS AND COMPUTING

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Soloveichik, David, Tumeo, Antonino, Achour, Sara, Berloff, Natalia, Cardwell, Suma George, Chakrabartty, Shantanu, Hasler, Jennifer, Joshi, Siddharth, Roychowdhury, Jaijeet. 2024-09-13. Analog Computing for Science. https://doi.org/10.2172/2476965

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