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  • Naresh R Shanbhag
2016

A Study of BER-Optimal ADC-Based Receiver for Serial Links

Lin, Y., Keel, M. S., Faust, A., Xu, A., Shanbhag, N. R., Rosenbaum, E. & Singer, A. C., May 2016, In : IEEE Transactions on Circuits and Systems I: Regular Papers. 63, 5, p. 693-704 12 p., 7486052.

Research output: Contribution to journalArticle

2019

Error-Resilient Spintronics via the Shannon- Inspired Model of Computation

Patil, A. D., Manipatruni, S., Nikonov, D. E., Young, I. A. & Shanbhag, N. R., Jun 2019, In : IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 5, 1, p. 10-18 9 p., 8689353.

Research output: Contribution to journalArticle

Per-tensor fixed-point quantization of the back-propagation algorithm

Sakr, C. & Shanbhag, N., 2019.

Research output: Contribution to conferencePaper

2013

Statistical analysis of algorithmic noise tolerance

Kim, E. P. & Shanbhag, N. R., Oct 18 2013, 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. p. 2731-2735 5 p. 6638153. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2016

Reduced overhead error compensation for energy efficient machine learning kernels

Zhang, S. & Shanbhag, N. R., Jan 5 2016, 2015 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2015. Institute of Electrical and Electronics Engineers Inc., p. 15-21 7 p. 7372544. (2015 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2012

Energy-efficient LDPC decoders based on error-resiliency

Kim, E. P. & Shanbhag, N. R., Dec 1 2012, Proceedings - 2012 IEEE Workshop on Signal Processing Systems, SiPS 2012. p. 149-154 6 p. 6363198. (IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2019

An Energy-Efficient Programmable Mixed-Signal Accelerator for Machine Learning Algorithms

Kang, M., Srivastava, P., Adve, V., Kim, N. S. & Shanbhag, N. R., Sep 1 2019, In : IEEE Micro. 39, 5, p. 64-72 9 p., 8768342.

Research output: Contribution to journalArticle

2015

A 3.6-mW 50-MHz PN code acquisition filter via statistical error compensation in 180-nm CMOS

Kim, E. P., Baker, D. J., Narayanan, S., Shanbhag, N. R. & Jones, D. L., Mar 1 2015, In : IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 23, 3, p. 598-602 5 p., 6804020.

Research output: Contribution to journalArticle

2019

Minimum Precision Requirements of General Margin Hyperplane Classifiers

Sakr, C., Kim, Y. & Shanbhag, N., Jun 2019, In : IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 9, 2, p. 253-266 14 p., 8685184.

Research output: Contribution to journalArticle

2015

Energy-efficient and high throughput sparse distributed memory architecture

Kang, M., Kim, E. P., Keel, M. S. & Shanbhag, N. R., Jul 27 2015, 2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015. Institute of Electrical and Electronics Engineers Inc., p. 2505-2508 4 p. 7169194. (Proceedings - IEEE International Symposium on Circuits and Systems; vol. 2015-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

An energy-efficient memory-based high-throughput VLSI architecture for convolutional networks

Kang, M., Gonugondla, S. K., Keel, M. S. & Shanbhag, N. R., Aug 4 2015, 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1037-1041 5 p. 7178127. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2015-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2016

Perfect error compensation via algorithmic error cancellation

Gonugondla, S. K., Shim, B. & Shanbhag, N. R., May 18 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 966-970 5 p. 7471819. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2016-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2011

VLSI architectures for soft-decision decoding of Reed - Solomon codes

Ahmed, A., Koetter, R. & Shanbhag, N. R., Feb 1 2011, In : IEEE Transactions on Information Theory. 57, 2, p. 648-667 20 p., 5695125.

Research output: Contribution to journalArticle

2019

Binodal, wireless epidermal electronic systems with in-sensor analytics for neonatal intensive care

Chung, H. U., Kim, B. H., Lee, J. Y., Lee, J., Xie, Z., Ibler, E. M., Lee, K. H., Banks, A., Jeong, J. Y., Kim, J., Ogle, C., Grande, D., Yu, Y., Jang, H., Assem, P., Ryu, D., Kwak, J. W., Namkoong, M., Park, J. B., Lee, Y. & 25 others, Kim, D. H., Ryu, A., Jeong, J., You, K., Ji, B., Liu, Z., Huo, Q., Feng, X., Deng, Y., Xu, Y., Jang, K. I., Kim, J., Zhang, Y., Ghaffari, R., Rand, C. M., Schau, M., Hamvas, A., Weese-Mayer, D. E., Huang, Y., Lee, S. M., Lee, C. H., Shanbhag, N. R., Paller, A. S., Xu, S. & Rogers, J. A., 2019, In : Science. 363, 6430

Research output: Contribution to journalArticle

Open Access
2013

Signal processing for high-speed links

Shanbhag, N., Singer, A. & Bae, H. M., Jan 1 2013, Handbook of Signal Processing Systems: Second Edition. Springer New York, p. 315-348 34 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

2018

Generalized water-filling for source-aware energy-efficient SRAMs

Kim, Y., Kang, M., Varshney, L. R. & Shanbhag, N. R., Oct 2018, In : IEEE Transactions on Communications. 66, 10, p. 4826-4841 16 p., 8368137.

Research output: Contribution to journalArticle

2017

Analytical guarantees on numerical precision of deep neural networks

Sakr, C., Kim, Y. & Shanbhag, N., Jan 1 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 4603-4615 13 p. (34th International Conference on Machine Learning, ICML 2017; vol. 6).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2016

Probabilistic Error Models for machine learning kernels implemented on stochastic nanoscale fabrics

Zhang, S. & Shanbhag, N. R., Apr 25 2016, Proceedings of the 2016 Design, Automation and Test in Europe Conference and Exhibition, DATE 2016. Institute of Electrical and Electronics Engineers Inc., p. 481-486 6 p. 7459358. (Proceedings of the 2016 Design, Automation and Test in Europe Conference and Exhibition, DATE 2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2014

An energy-efficient VLSI architecture for pattern recognition via deep embedding of computation in SRAM

Kong, M., Keel, M. S., Shanbhag, N. R., Eilert, S. & Curewitz, K., Jan 1 2014, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc., p. 8326-8330 5 p. 6855225. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2017

PredictiveNet: An energy-efficient convolutional neural network via zero prediction

Lin, Y., Sakr, C., Kim, Y. & Shanbhag, N., Sep 25 2017, IEEE International Symposium on Circuits and Systems: From Dreams to Innovation, ISCAS 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 8050797. (Proceedings - IEEE International Symposium on Circuits and Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2014

A 0.79 pJ/K-Gate, 83% efficient unified core and voltage regulator architecture for sub/near-threshold operation in 130 nm CMOS

Zhang, S., Tu, J. S., Shanbhag, N. R. & Krein, P. T., Nov 1 2014, In : IEEE Journal of Solid-State Circuits. 49, 11, p. 2644-2657 14 p., 6901296.

Research output: Contribution to journalArticle

2019

An MRAM-based deep in-memory architecture for deep neural networks

Patil, A. D., Hua, H., Gonugondla, S., Kang, M. & Shanbhag, N. R., Jan 1 2019, 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8702206. (Proceedings - IEEE International Symposium on Circuits and Systems; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2017

A 19.4 nJ/decision 364K decisions/s in-memory random forest classifier in 6T SRAM array

Kang, M., Gonugondla, S. K. & Shanbhag, N. R., Nov 2 2017, ESSCIRC 2017 - 43rd IEEE European Solid State Circuits Conference. Institute of Electrical and Electronics Engineers Inc., p. 263-266 4 p. 8094576. (ESSCIRC 2017 - 43rd IEEE European Solid State Circuits Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2011

An energy-efficient multiple-input multiple-output (MIMO) detector architecture

Kim, E. P. & Shanbhag, N. R., Dec 26 2011, 2011 IEEE Workshop on Signal Processing Systems, SiPS 2011, Proceedings. p. 239-244 6 p. 6088981. (2011 IEEE Workshop on Signal Processing Systems, SiPS 2011, Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2012

A sphere decoding approach for the vector Viterbi algorithm

Kairouz, P., Xu, A., Shanbhag, N. R. & Singer, A. C., Dec 1 2012, Conference Record of the 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012. p. 114-118 5 p. 6488970. (Conference Record - Asilomar Conference on Signals, Systems and Computers).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2014

Energy-efficient accelerator architecture for stereo image matching using approximate computing and statistical error compensation

Kim, E. P. & Shanbhag, N. R., Feb 5 2014, 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014. Institute of Electrical and Electronics Engineers Inc., p. 55-59 5 p. 7032077. (2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2016

Analysis of error resiliency of belief propagation in computer vision

Choi, J., Patii, A. D., Rutenbar, R. A. & Shanbhag, N. R., May 18 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1060-1064 5 p. 7471838. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2016-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2019

Accumulation bit-width scaling for ultra-low precision training of deep networks

Sakr, C., Wang, N., Chen, C. Y., Choi, J., Agrawal, A., Shanbhag, N. & Gopalakrishnan, K., 2019.

Research output: Contribution to conferencePaper

2011

Least squares approximation and polyphase decomposition for pipelining recursive filters

Gupta, A., Singer, A. & Shanbhag, N., Aug 18 2011, 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings. p. 1661-1664 4 p. 5946818. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution