Using light to speed up computation

Using light to speed up computation
Researchers in Japan have developed a type of processor called PAXEL, a device that can potentially bypass Moore's Law and increase the speed and efficiency of computing. In APL Photonics, the researchers looked at using light for the data transport step in integrated circuits, since photons are not subject to Moore's Law. Instead of integrated electronic circuits, much new development now involves photonic integrated circuits. The PAXEL accelerator takes this approach and uses power-efficient nanophotonics. This image shows the evolution and bottlenecks of electronic integrated circuits for digital computing, and cloud versus fog computing and use of PAXEL devices. Credit: Ken-ichi Kitayama

A group of researchers in Japan has developed a new type of processor known as PAXEL, a device that can potentially bypass Moore's Law and increase the speed and efficiency of computing. PAXEL, which stands for photonic accelerator, is placed at the front end of a digital computer and optimized to perform specific functions but with less power consumption than is needed for fully electronic devices.

Metal-oxide semiconductor field-effect transistors are the basis for most integrated electronic , but they are limited by Moore's Law, which says the number of microprocessor chips on a single electronic circuit will double every two years. There is an inherent limit to this, though, based on the way the size of the microprocessor chips relates to the quantum mechanical nature of electrons.

It is possible to partially overcome the Moore's Law problem by using parallel processing, in which multiple processors carry out simultaneous computations. This approach does not work for every application, however.

In a paper in APL Photonics, from AIP Publishing, the researchers looked at another technique to use light for the data transport step in integrated circuits, since photons are not subject to Moore's Law. Instead of integrated , much new development now involves photonic integrated circuits (PICs). The PAXEL accelerator takes this approach and uses power-efficient nanophotonics, which are very small PICs.

Nanophotonics, such as those used in PAXEL, operate at the speed of light and can carry out computations in an analog fashion, with data mapped onto light intensity levels. Multiplications or additions are then performed by varying light intensity. The investigators considered different PAXEL architectures for a variety of uses including , reservoir computing, pass-gate logic, decision-making and compressed sensing.

One particularly interesting application of PAXEL is in so-called fog computing. This is like cloud computing but uses computational resources (servers) near the "ground" where the originating event occurs. A compact PAXEL attached to a tablet or other hand-held device could detect signals and transmit the information through a 5G wireless link to nearby fog computing resources for .

Applications of this new technology are expected in a wide array of areas including medical and veterinary point-of-care testing, diagnostics, drug and food testing, and biodefense. As more of our household and business devices are connected through the web, better computing capacity, including data transport with higher energy efficiency, will be needed. Advances such as PAXEL are expected to help meet these needs.


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More information: Ken-ichi Kitayama et al, Novel frontier of photonics for data processing—Photonic accelerator, APL Photonics (2019). DOI: 10.1063/1.5108912
Citation: Using light to speed up computation (2019, September 24) retrieved 18 November 2019 from https://phys.org/news/2019-09-using-light-to-speed-up.html
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