approximate computing

approximate computing

A computer processor that does not compute a precise result. For example, adding 1 plus 1 may yield 2.01 or 1.98, but not 2. For many applications, including imaging and artificial intelligence, "almost correct" is good enough, and such chips use fewer circuits and much less energy.
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While approximate computing approaches have been used before, in OPRECOMP for the first time ever, a complete framework for transprecision computing, covering devices, circuits, software tools, and algorithms, along with the mathematical theory and physical foundations of the ideas will be developed that not only will provide error bounds with respect to full precision results, but also will enable major energy efficiency improvements even when there is no freedom to relax end-to-end application quality-of-results.
Bates is not the first to pursue the idea of using hand-wavy hardware to crunch data more efficiently, a notion known as approximate computing.
The third is approximate computing, tolerating errors, with fault tolerance.
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