This Imperfect Processor Is 15 Times More Efficient Than Yours

This Imperfect Processor Is 15 Times More Efficient Than Yours


While it might sound like a dumb idea, designing a computer processor that can make mistakes could be a good thing — especially where energy use is a concern.

Researchers from Rice University and Berkeley, along with collaborators in Europe and Singapore, have developed a new type of processor that is allowed to make occasional errors. That completely challenges the conventional wisdom of 50 years of chip manufacturing — but the energy saving could make the mistakes worth it, reports Laboratory Equipment.

The idea is simple: cut power use by allowing processing components, like hardware used to multiply numbers, to make occasional mistakes. That makes it possible to trim away rarely used portions of the chip, which only ever come into action when mistakes occur — dramatically reducing power consumption.

By carefully reducing the probability of errors by choosing only certain types of operation that are allowed to make mistakes, it’s possible to make a chip that is useable — but 15 times more efficient than normal processors. Avinash Lingamneni, one of the researchers, explains to Laboratory Equipment:

“In the latest tests, we showed that pruning could cut energy demands 3.5 times with chips that deviated from the correct value by an average of 0.25 per cent. When we factored in size and speed gains, these chips were 7.5 times more efficient than regular chips. Chips that got wrong answers with a larger deviation of about 8 per cent were up to 15 times more efficient.”

The biggest question, though, is how the introduction of errors would affect user experience. Christian Enz, another researchers, explains:

“Particular types of applications can tolerate quite a bit of error. For example, the human eye has a built-in mechanism for error correction. We used inexact adders to process images and found that relative errors up to 0.54 per cent were almost indiscernible, and relative errors as high as 7.5 per cent still produced discernible images.”

While it’s almost certainly the case that such technology would never appear in computers or tablets, it’s easy to believe that small, low-power devices could benefit from such chips. Just be prepared for slightly more erratic user experience. [ACM International Conference on Computing Frontiers via Laboratory Equipment]

Image: Avinash Lingamneni, Rice University, CSEM


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