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Approximate computing

Approximate computing is a computation which returns a possibly inaccurate result rather than a guaranteed accurate result, for a situation where an… 
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Related topics

Related topics

27 relations
Adder (electronics)Approximation theoryArtificial neural networkBinary multiplier

Broader (2)

Computer architectureSoftware engineering

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Adaptive Approximate Computing in Arithmetic Datapaths
Editor’s note: Approximate arithmetic units are used in error tolerant applications, like image processing, to minimize energy… 
2017
2017
A 5.3 pJ/op approximate TTA VLIW tailored for machine learning
2017
2017
Measuring the Impact of Memory Errors on Application  Performance
Memory reliability is a key factor in the design of warehouse-scale computers.  Prior work has focused on the performance… 
Review
2016
Review
2016
Introduction to approximate computing: Embedded tutorial
A new design paradigm - approximate computing - was established to investigate how computer systems can be made better - more… 
2015
2015
Examining the Impact of ACE interference on Multi-Bit AVF Estimates
Until recently, soft error reliability has been focused on single-bit errors and as a consequence, methodologies for… 
Review
2013
Review
2013
Approximate Queries with Adaptive Processing
The traditional query processing approach, by which queries are executed exactly according to a query execution plan selected… 
2012
2012
A Case for Hybrid Discrete-Continuous Architectures
Current technology trends indicate that power- and energy efficiency will limit chip throughput in the future. Current solutions… 
2012
2012
Vision-based hand pose estimation through similarity search using the earth mover's distance
Vision-based hand pose estimation presents unique challenges, particularly if high-fidelity reconstruction is desired. Searching… 
2009
2009
A Smoothed Approximate Linear Program
We present a novel linear program for the approximation of the dynamic programming cost-to-go function in high-dimensional… 
2003
2003
The correlation dimension of returns with stochastic volatility
Abstract Signs of low-dimensional scaling of correlation integrals of financial returns have often been reported in the… 
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