Researchers develop novel analog processor for high performance computing

Researchers develop novel analog processor for high performance computing
Researchers at the George Washington University have developed a nanophotonic analog accelerator to solve challenging engineering and science problems, known as partial differential equations, in fractions of a second. Credit: Mario Miscuglio

Analog photonic solutions offer unique opportunities to address complex computational tasks with unprecedented performance in terms of energy dissipation and speeds, overcoming current limitations of modern computing architectures based on electron flows and digital approaches.

In a new study published today in the journal Nature Communications Physics, researchers led by Volker Sorger, an associate professor of electrical and computer engineering at the George Washington University, reveal a new nanophotonic analog processor capable of solving .

This nanophotonic processor can be integrated at chip-scale, processing arbitrary inputs at the .

The research team also included researchers at the University of California, Los Angeles, and City College of New York.


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More information: Mario Miscuglio et al, Approximate analog computing with metatronic circuits, Communications Physics (2021). DOI: 10.1038/s42005-021-00683-4
Journal information: Communications Physics

Citation: Researchers develop novel analog processor for high performance computing (2021, August 27) retrieved 21 October 2021 from https://phys.org/news/2021-08-analog-processor-high.html
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