A Taxonomy of General Purpose Approximate Computing Techniques.
IEEE Embedded Systems Letters(2018)
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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