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A Taxonomy of General Purpose Approximate Computing Techniques.

IEEE Embedded Systems Letters(2018)

Cited 55|Views132
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Abstract
Approximate computing is the idea that systems can gain performance and energy efficiency if they expend less effort on producing a “perfect” answer. Approximate computing techniques propose various ways of exposing and exploiting accuracy-efficiency tradeoffs. We present a taxonomy that classifies approximate computing techniques according to salient features: visibility, determinism, and coarsen...
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Key words
Taxonomy,Random access memory,Approximate computing,Synchronization,Testing,Measurement uncertainty,Computer architecture
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