Researchers develop novel analog processor for high performance computing
image: 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. view more
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 partial differential equations. This nanophotonic processor can be integrated at chip-scale, processing arbitrary inputs at the speed of light.
The research team also included researchers at the University of California, Los Angeles, and City College of New York. To schedule an interview with the researchers, contact Tim Pierce at tpie@gwu.edu.
