Wilhelm and Else Heraeus Dissertation prize 2021

Two prizes for outstanding dissertations in 2021 have been awarded.   more ...

Über die Physik der Zelle

Every living thing is made up of cells. Knowledge about these microscopic building blocks of life has grown steadily over the past centuries   more ...

Joachim Ullrich is the president of the German Physical Society (DFG)

Joachim Ullrich, honorary professor in our Department, takes over the presidency of the German Physical Society (DPG).   more ...

Caroline Herschel Medal for Eva Grebel

Eva Grebel is the first recipient of the new joint award ...   more ...
Direct lithography with the MaskLess Aligner technique. HEIDELBERG INSTRUMENTS MIKROTECHNIK GmbH

Highly integrated superconducting nanostructures for quantum technologies.

Integrated quantum circuits should be able to be produced in the research laboratories of universities and medium-sized companies.   more ...

Emergence - a highly interesting phenomenon

Many scientists from different fields are interested in the impressive diversity of nature and are trying to discover the rules that govern   more ...

Lauriane Chomaz awarded an ERC Starting Grant

She is receiving the grant for her research on two-dimensional dipolar quantum gases.   more ...

Stefan Hell is awarded the Werner-von-Siemens-Ring 2022

Stefan Hell is awarded the Werner von Siemens Ring 2022 for the development of super-resolution STED microscopy.   more ...

New research projects to quantum computers

PhoQuant, MUNIQC-ATOMS, Spinning and Reconnaitre are four new BMBF-funded projects of Wolfram Pernice.   more ...

Physics colloquium

Friday, 27. May 2022 5:00 pm  Photonic computing beyond MooreÂ’s Law

Prof. Dr. Wolfram Pernice, Kirchoff-Institut für Physik, Universität Heidelberg Ever noticed that annoying lag that sometimes happens during the internet streaming from, say, your favorite football game? Called latency, this brief delay between a camera capturing an event and the event being shown to viewers is surely annoying during the decisive goal at a World Cup final. But it could be deadly for a passenger of a self-driving car that detects an object on the road ahead and sends images to the cloud for processing. A way to dramatically reduce latency in artificial intelligence (AI) systems lies in using light for computation instead of electronic circuits. Combining photonic processing with what’s known as the non-von Neumann, in-memory computing paradigm enables to perform computations with unprecedented, ultra-low latency and compute density. Photonic tensor cores run computations at a processing speed higher than ever before and perform key computational primitives associated with AI models such as deep neural networks for computer vision, with remarkable areal and energy efficiency. While scientists first started tinkering with photonic processors back in the 1950s, in-memory computing (IMC) is an emerging non-von Neumann compute paradigm where memory devices, organized in a computational memory unit, are used for both processing and memory. By removing the need to shuffle data around between memory and processing units, IMC even with conventional electronic memory devices could bring significant latency gains. However, the combination of photonics with IMC could further reduce the latency issue – so efficiently that photonic in-memory computing might soon play a key role in latency-critical AI applications. Together with in-memory computing, photonic processing overcomes the seemingly insurmountable barrier to the bandwidth of conventional AI computing systems based on electronic processors.



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