Keyword

approximate computing

Description: A computing approach that permits controlled inaccuracy in results to improve performance, energy efficiency, or other hardware and system trade-offs.

Primary topic: Low-power high-performance VLSI design (53%)

Wikidata ID: wiki/Q23901693

OpenAlex ID: keywords/approximate-computing

Approximate computing: An emerging paradigm for energy-efficient design

2013 · Jie Han, Michael Orshansky · Proceedings/Proceedings - European Test Workshop · 1,114

A Survey of Techniques for Approximate Computing

2016 · Sparsh Mittal · ACM Computing Surveys · 1,062

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LOCI: fast outlier detection using the local correlation integral

2004 · S. Papadimitriou, H. Kitagawa, et al. · Proceedings - International Conference on Data Engineering · 871

The Sum of Log-Normal Probability Distributions in Scatter Transmission Systems

1960 · L. Fenton · IEEE Transactions on Communications · 814

Approximate computation of expectations

1986 · Charles Stein · SPIE eBooks · 697

Design and Analysis of Approximate Compressors for Multiplication

2014 · Amir Momeni, Jie Han, et al. · IEEE Transactions on Computers · 646

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Neural Acceleration for General-Purpose Approximate Programs

2012 · Hadi Esmaeilzadeh, Adrian Sampson, et al. · Proceedings of the ... annual International Symposium on Microarchitecture/Proceedings of the annual International Symposium on Microarchitecture · 636

EnerJ

2011 · Adrian Sampson, Werner Dietl, et al. · ACM SIGPLAN Notices · 589

Approximate Computing: A Survey

2015 · Qiang Xu, Todd Mytkowicz, et al. · IEEE Design and Test · 565

Analysis and characterization of inherent application resilience for approximate computing

2013 · Vinay K. Chippa, Srimat T. Chakradhar, et al. · Proceedings - ACM IEEE Design Automation Conference · 557

Discovery of spatial association rules in geographic information databases

1995 · Krzysztof Koperski, Jiawei Han · Lecture notes in computer science · 478

Design of Power and Area Efficient Approximate Multipliers

2017 · Suganthi Venkatachalam, Seok-Bum Ko · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 410

IMPACT: IMPrecise adders for low-power approximate computing

2011 · Vaibhav Gupta, Debabrata Mohapatra, et al. · IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) · 402

Architecture support for disciplined approximate programming

2012 · Hadi Esmaeilzadeh, Adrian Sampson, et al. · 391

EnerJ

2011 · Adrian Sampson, Werner Dietl, et al. · Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation · 390

Beating Floating Point at its Own Game: Posit Arithmetic

2017 · John L. Gustafson, Isaac T. Yonemoto · Supercomputing Frontiers and Innovations · 381

Approximate Arithmetic Circuits: A Survey, Characterization, and Recent Applications

2020 · Honglan Jiang, Francisco Javier Hernandez Santiago, et al. · Proceedings of the IEEE · 353

SALSA

2012 · Swagath Venkataramani, Amit Sabne, et al. · Proceedings - ACM IEEE Design Automation Conference · 334

Dual-Quality 4:2 Compressors for Utilizing in Dynamic Accuracy Configurable Multipliers

2017 · Omid Akbari, Mehdi Kamal, et al. · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 314

Approximate Multipliers Based on New Approximate Compressors

2018 · Darjn Esposito, Antonio Giuseppe Maria Strollo, et al. · IEEE Transactions on Circuits and Systems I Regular Papers · 309

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IMPACT: imprecise adders for low-power approximate computing

2011 · Vaibhav Gupta, Debabrata Mohapatra, et al. · 306

Design of Approximate Radix-4 Booth Multipliers for Error-Tolerant Computing

2017 · Weiqiang Liu, Liangyu Qian, et al. · IEEE Transactions on Computers · 301

A survey of data partitioning and sampling methods to support big data analysis

2020 · Mohammad Sultan Mahmud, Joshua Zhexue Huang, et al. · Big Data Mining and Analytics · 282

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Multipliers With Approximate 4–2 Compressors and Error Recovery Modules

2017 · Minho Ha, Sunggu Lee · IEEE Embedded Systems Letters · 276

Approximate computing and the quest for computing efficiency

2015 · Swagath Venkataramani, Srimat T. Chakradhar, et al. · Proceedings - ACM IEEE Design Automation Conference · 258

Works count: 5,320

Citation count: 61,610