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posted by takyon on Friday November 04 2016, @10:22PM   Printer-friendly
from the lights-on-for-optics dept.

As the cost of sequencing a person's genome plummets, demand for the computing power needed to make sense of the genetic information is growing. Nicholas New hopes some of it will be worked on by a processor that parses data using laser light, built by his U.K. startup, Optalysys.

New says his company's exotic approach to crunching data can dramatically upgrade a conventional computer by taking over some of the most demanding work in applications such as genomics and simulating weather. "The grunt work can be done by the optics," he says.

Researchers have worked on the idea of using optics rather than electronics to process data for decades, with little commercial traction. But New argues that it is now needed because manufacturers such as Intel admit that they can't keep improving conventional chips at the pace they used to

takyon: Optalysys is a company that claims it will scale to petaflops and exaflops in the near future using desktop amounts of power. However, their technology has been described as a coprocessor so it isn't clear what kind of operations it can perform. Much has been made of its partnership with The Genome Analysis Center (TGAC).

The article also mentions LightOn, which published this paper. Optical and quantum computing are both being examined for their potential to enhance machine learning. Google is researching the quantum approach.


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  • (Score: 2) by opinionated_science on Saturday November 05 2016, @11:09AM

    by opinionated_science (4031) on Saturday November 05 2016, @11:09AM (#422798)

    Well if they can so sub 1us fft's , I have a problem for them....;-)

    To be precsise, 128x128x128 in less than 1us would be quite an advance, assuming:
    a) they can do convolution too
    b) reverse the result.
    c) the result could be distributed to the rest of the calculation.

    Otherwise I'll wait and see...though I might go see them in they come to Utah in two weeks...

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