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Scientists Found How to Scale Down Supercomputers to the Size of Laptops

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Scientists Found How to Scale Down Supercomputers to the Size of Laptops
PHOTOGRAPH: Skeeze/Pixabay |

Supercomputers work in massive arrays, but scientists found a way to scale down its size to a laptop. This is made possible through parallel computing while using “biological motors.”

The regular computers of today queue process and run them in succession, one after another, which is a slow progress especially when there are mathematical problems to solve in high order. Simply put, computers are inadequate to do the job.

But with supercomputers, they have a significantly higher level of computational capacity enabling them to solve tens of thousands of multiple parallel processors faster. There is a drawback, though. The price and scale to power it up are massive too.

It is worth noting that there are quantum computers up next to the frontier. However, they are extremely difficult, intricate and expensive to build, as of date.

A study published in the Proceedings of the National Academy of Sciences shows another proposed plan for making parallel computing to work on a smaller scale through “biological computers.” And they are easier to make with its “prerequisites for practical use within 10 years” according to one of the researchers, NanoLund director Heiner Linke.

Smaller Scale Bio-Computers

The biocomputers work by molecular motors which are large molecules that carry out mechanical tasks in living cells. An example is a myosin which can be found in human living cells that operate by moving protein filaments through artificial paths in order to direct filament movement.

Linke explains a “building of a labyrinth of nano-based channels” will have a particular traffic regulation for protein filaments. Since there will be a corresponding answer to a certain mathematical problem in the labyrinth, the molecules can maneuver their way along the labyrinth at the same time.

So instead of the bulky computers solving multiple computations, small nano-scale molecular motors will do the task. Moreover, Linke says molecules are very cheap and the biocomputers are way more energy-efficient than the supercomputers.

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