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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
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27 relations
Adder (electronics)
Approximation theory
Artificial neural network
Binary multiplier
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Broader (2)
Computer architecture
Software engineering
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Adaptive Approximate Computing in Arithmetic Datapaths
Sana Mazahir
,
O. Hasan
,
M. Shafique
IEEE design & test
2018
Corpus ID: 49723829
Editor’s note: Approximate arithmetic units are used in error tolerant applications, like image processing, to minimize energy…
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2017
2017
Reconfigurable Support Vector Machine Classifier with Approximate Computing
M. V. Leussen
,
J. Huisken
,
Lei Wang
,
Hailong Jiao
,
J. P. D. Gyvez
IEEE Computer Society Annual Symposium on VLSI
2017
Corpus ID: 4701190
Support Vector Machine (SVM) is one of the most popular machine learning algorithms. An energy-efficient SVM classifier is…
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2017
2017
Integer Echo State Networks: Hyperdimensional Reservoir Computing
D. Kleyko
,
E. P. Frady
,
Evgeny Osipov
arXiv.org
2017
Corpus ID: 22690605
We propose an approximation of Echo State Networks (ESN) that can be efficiently implemented on digital hardware based on the…
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2017
2017
Measuring the Impact of Memory Errors on Application Performance
Mark Gottscho
,
M. Shoaib
,
Sriram Govindan
,
Bikash Sharma
,
Di Wang
,
Puneet Gupta
IEEE computer architecture letters
2017
Corpus ID: 17652874
Memory reliability is a key factor in the design of warehouse-scale computers. Prior work has focused on the performance…
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2016
2016
Sprint Ability: How Well Does Your Software Exploit Bursts in Processing Capacity?
Nathaniel Morris
,
Siva Meenakshi Renganathan
,
Christopher Stewart
,
R. Birke
,
L. Chen
International Conference on Automation and…
2016
Corpus ID: 17672405
Computer systems constrain their processing rates to stay within power, cost and answer quality budgets. Sprinting mechanisms…
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Review
2016
Review
2016
Introduction to approximate computing: Embedded tutorial
L. Sekanina
IEEE Workshop on Design and Diagnostics of…
2016
Corpus ID: 11587948
A new design paradigm - approximate computing - was established to investigate how computer systems can be made better - more…
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2015
2015
Approximate computing with unreliable dynamic memories
Shrikanth Ganapathy
,
A. Teman
,
R. Giterman
,
A. Burg
,
G. Karakonstantis
IEEE International New Circuits and Systems…
2015
Corpus ID: 9758835
Embedded memories account for a large fraction of the overall silicon area and power consumption in modern SoC(s). While embedded…
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2012
2012
A Case for Hybrid Discrete-Continuous Architectures
S. Sethumadhavan
,
Ryan Roberts
,
Y. Tsividis
IEEE computer architecture letters
2012
Corpus ID: 8452247
Current technology trends indicate that power- and energy efficiency will limit chip throughput in the future. Current solutions…
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2012
2012
Vision-based hand pose estimation through similarity search using the earth mover's distance
Hendrik A. C. de Villiers
,
L. V. Zijl
,
T. Niesler
2012
Corpus ID: 17720882
Vision-based hand pose estimation presents unique challenges, particularly if high-fidelity reconstruction is desired. Searching…
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1999
1999
A design space exploration scheme for data-path synthesis
C. Mandal
,
P. Chakrabarti
,
S. Ghose
IEEE Transactions on Very Large Scale Integration…
1999
Corpus ID: 16563835
In this paper, we examine the multicriteria optimization involved in scheduling for data-path synthesis (DPS). The criteria we…
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