Low Power Hardware Accelerators for Deep Learning

There is growing interest in the design of special-purpose hardware accelerators for deep learning, the Google TPU being one example. In this research, we seek to enable 2x or more reduction in the power consumption of TPU and TPU-like accelerators using an old hardware trick: voltage underscaling. We propose to run the chip at a reduced voltage to dramatically cut its power consumption, but at nominal frequency. In return for lower power, voltage underscaling results in occasional errors in computation (referred to as timing errors). Motivated by techniques such as DropOut that are commonly used in training deep nets, we show that the TPU can simply detect and “drop” these erroneous computation with minimal loss in classification accuracy. We are thus able to cut power by more than 60% with only a 1% loss in accuracy for benchmark deep neural nets. Similar techniques can be used to enhance the resilience of TPU-like accelerators to permanent faults.

RESEARCH PAPERS


CitationView PapersResearch AreasDate

S. Shahsavari, A. Hosseini, C. Ng, E. Erkip “On the Optimal Two-antenna Static Beamforming with Per-antenna Power Constraints,” IEEE Signal Processing Letters, July 2019

Affiliate Access Only

machine learningJuly 1, 2019

R. Lourenço, J. Freire, D. Shasha, “Debugging Machine Learning Pipelines,” Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, June 2019

Affiliate Access Only

machine learningJune 30, 2019

Q. Yang, P. Hassanzadeh, D. Gündüz, E. Erkip, “Centralized Caching and Delivery of Correlated Contents over Gaussian Broadcast Channels,” arXiv preprint arXiv:1906.09970, June 2019

Affiliate Access Only

machine learningJune 21, 2019

A. Balashankar, A. Lees, C. Welty, L. Subramanian, “Pareto-Efficient Fairness for Skewed Subgroup Data,” Thirty-sixth International Conference on Machine Learning, June 2019

Affiliate Access Only

machine learningJune 15, 2019

P. Hassanzadeh, A.M. Tulino, J. Llorca, E. Erkip, “Rate-Distortion-Memory Trade-offs in Heterogeneous Caching Networks,” arXiv preprint arXiv:1905.09446, May 2019

Affiliate Access Only

machine learningMay 23, 2019

F. Shirani, S. Shahsavari, E. Erkip, “On the Rates of Convergence in Learning of Optimal Temporally Fair Schedulers,” arXiv preprint arXiv:1905.09843, May 2019

Affiliate Access Only

machine learningMay 23, 2019

S. Shahsavari, F. Shirani, M.A. Khojastepour, E. Erkip, “Opportunistic Temporal Fair Mode Selection and User Scheduling for Full-duplex Systems,” arXiv preprint arXiv:1905.08992, May 2019

Affiliate Access Only

machine learningMay 22, 2019

RW Heath, N Gonzalez-Prelcic, S Rangan, W Roh, AM Sayeed, “An overview of signal processing techniques for millimeter wave MIMO systems,” IEEE journal of selected topics in signal processing 10 (3), 436-453, April 2016

Affiliate Access Only

machine learning, terahertzApril 15, 2019

S. Xu, P. Liu, R. Wang, and S. Panwar, “Realtime scheduling and power allocation using deep neural networks,” in 2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2019), Marrakech, Morocco, Apr. 2019.

Affiliate Access Only

machine learning, mobile edgeApril 14, 2019

M. D. Brooks, J. Cirrone, A. V. Pasquino, J. M. Alvarez, J. Swift, S. Mittal, C.L. Juang, K. Varala, R.A. Gutiérrez, G. Krouk, D. Shasha, G.M. Coruzzi, “Network Walking charts transcriptional dynamics of nitrogen signaling by integrating validated and predicted genome-wide interactions,” Nature communications 10 (1), 1569, April 5, 2019

Affiliate Access Only

machine learningApril 5, 2019

S. Mu, S. Angel, D. Shasha, “Deferred Runtime Pipelining for contentious multicore software transactions,” Proceedings of the Fourteenth EuroSys Conference 2019, 40, March 2019

Affiliate Access Only

machine learningMarch 25, 2019

G. Micale, A. Pulvirenti, A. Ferro, R. Giugno, D. Shasha, “Fast methods for finding significant motifs on labelled multi-relational networks,” Journal of Complex Networks, March 3, 2019

Affiliate Access Only

machine learningMarch 13, 2019

S. Shahsavari, F. Shirani, E. Erkip, “A general framework for temporal fair user scheduling in NOMA systems,” IEEE Journal of Selected Topics in Signal Processing, May 2019

Affiliate Access Only

machine learningMarch 7, 2019

A. Aparo, V. Bonnici, G. Micale, A. Ferro, D. Shasha, A. Pulvirenti, R. Giugno, “Fast Subgraph Matching Strategies Based on Pattern-Only Heuristics,” Interdisciplinary Sciences: Computational Life Sciences 11 (1), 21-32, March 2019

Affiliate Access Only

machine learningMarch 1, 2019

J.S. Lu, E.M. Vitucci, V. Degli-Esposti, F. Fuschini, M. Barbiroli, J.A. Blaha and H.L. Bertoni, “A Discrete Environment-Driven GPU-Based Ray Launching Algorithm,” IEEE Transactions on Antennas and Propagation; Vol. 67, No. 2, pp. 1180-1192, February 2019.

Affiliate Access Only

machine learning, testbedsFebruary 1, 2019

S. Mu, S. Angel, D. Shasha, “Deferred runtime pipelining for contentious multicore software transactions (extended version),” Technical Report MS-CIS-19-02, University of Pennsylvania, Feb. 2019

Affiliate Access Only

machine learningFebruary 1, 2019

E Björnson, L Sanguinetti, H Wymeersch, J Hoydis, TL Marzetta, “Massive MIMO is a Reality-What is Next? Five Promising Research Directions for Antenna Arrays,” arXiv preprint arXiv:1902.07678, Feb. 2019.

Affiliate Access Only

machine learningFebruary 1, 2019

A. Khalili, F. Shirani, E. Erkip, and Y. C. Eldar, “On multiterminal communication over MIMO channels with one-bit ADCs at the receivers,” arXiv preprint arXiv:1901.10628, 2019.

Affiliate Access Only

machine learning, mobile edgeJanuary 30, 2019

A. Khalili, F. Shirani, E. Erkip, and Y. C. Eldar, “Tradeoff between delay and high SNR capacity in quantized MIMO systems,” arXiv preprintarXiv:1901.09844, 2019.

Affiliate Access Only

machine learning, mobile edgeJanuary 28, 2019

S. Shahsavari, F. Shirani, E. Erkip, “On the Fundamental Limits of Multi-user Scheduling under Short-term Fairness Constraints,” arXiv preprint arXiv:1901.07719, Jan 2019

Affiliate Access Only

machine learningJanuary 23, 2019

F. Shirani, S. Gar, E. Erkip, “A Concentration of Measure Approach to Database De-anonymization,” arXiv preprint arXiv:1901.07655, Jan 2019

Affiliate Access Only

machine learningJanuary 23, 2019

G. Micale, S. Alaimo, A. Laganà, S. Parekh, D. Shasha, A. Pulvirenti, A. Ferro, “Machine Learning and Pathway Analysis on RNA-Seq Enables Precise Cancer Diagnosis and Prognosis,” Available at SSRN 3327353, 2019

Affiliate Access Only

machine learningJanuary 1, 2019

D. Shasha, “Randomized anti-counterfeiting,” Communications of the ACM 62 (1), 120-ff, Dec. 2019

Affiliate Access Only

machine learningDecember 19, 2018

D. Dessì, J. Cirrone, D.R. Recupero, D. Shasha, “SuperNoder: a tool to discover over-represented modular structures in networks,” BMC bioinformatics 19 (1), 318, Dec. 2019

Affiliate Access Only

machine learningDecember 1, 2018

M Sadeghi, E Björnson, EG Larsson, C Yuen, T Marzetta, “Joint unicast and multi-group multicast transmission in massive MIMO systems,” IEEE Transactions on Wireless Communications 17 (10), 6375-6388, Oct. 2018.

Affiliate Access Only

machine learningOctober 1, 2018

A Ashikhmin, L Li, TL Marzetta, “Interference reduction in multi-cell massive MIMO systems with large-scale fading precoding,” IEEE Transactions on Information Theory 64 (9), 6340-6361, Sept. 2018.

Affiliate Access Only

machine learningSeptember 1, 2018

EG Larsson, TL Marzetta, HQ Ngo, H Yang, “Antenna count for massive MIMO: 1.9 GHz vs. 60 GHz,” IEEE Communications Magazine 56 (9), 132-137, Sept. 2018.

Affiliate Access Only

machine learningSeptember 1, 2018

Yilin Song, Jonathan Viventi, and Yao Wang, “Diversity encouraged learning of unsupervised LSTM ensemble for neural activity video prediction,” Initial version: Nov. 2016, Last updated: July 2018.

Affiliate Access Only

5g and 6g apps, machine learningJuly 1, 2018

Yilin Song, Yao Wang, and Jonathan Viventi, “Multi Resolution LSTM For Long Term Prediction In Neural Activity Video,” Initial version: May 2017, Last updated: July 2018.

Affiliate Access Only

5g and 6g apps, machine learningJuly 1, 2018

A. Aparo, V. Bonnici, G. Micale, A. Ferro, D. Shasha, A. Pulvirenti, R. Giugno, S. Verlag, “Simple Pattern-only Heuristics Lead To Fast Subgraph Matching Strategies on Very Large Networks,” ISSN:2194-5357, Oral presentation at the 12th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB’18), Toledo (Spain) 20th-22nd June, 2018.

Affiliate Access Only

machine learningJune 20, 2018

TL Marzetta, “Spatially-stationary propagating random field model for massive MIMO small-scale fading,” 2018 IEEE International Symposium on Information Theory (ISIT), 391-395, June 2018.

Affiliate Access Only

machine learningJune 17, 2018

H Yang, TL Marzetta, “Energy Efficiency of Massive MIMO: Cell-Free vs. Cellular,” 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-5, June 2018.

Affiliate Access Only

machine learningJune 3, 2018

Shervin Minaee, Yao Wang, Alp Aygar, Sohae Chung, Xiuyuan Wang, Yvonne W. Lui, Els Fieremans, Steven Flanagan, Joseph Rath “MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features”, IEEE Transactions on Medical Imaging.

Affiliate Access Only

5g and 6g apps, machine learningJune 1, 2018

Guangyu Li, Yong Liu, and Bruno Ribeiro, “On Group Popularity Prediction in Event-Based Social Networks”,
in the Proceedings of the International AAAI Conference on Web and Social Media (Poster), June
2018.

Affiliate Access Only

machine learningJune 1, 2018

F. Porto, J. Rittmeyer, E. Ogasawara, A. Krone-Martins, P. Valduriez, D. Shasha, “Point Pattern Search in Big Data,” Scientific and Statistic Database Management, June 2018, Bolzano-Bozen, Italy.

Affiliate Access Only

machine learningJune 1, 2018

K. Varala, A. Marshall-Colón, J. Cirrone, M. D. Brooks, A. V. Pasquino, S. Léran, S. Mittal, T. M. Rock, M. B. Edwards, G. J. Kim, S. Ruffel, W. R. McCombie, D. Shasha, G. M. Coruzzi, “Temporal transcriptional logic of dynamic regulatory networks underlying nitrogen signaling and use in plants,” PNAS May 16, 2018. 201721487; published ahead of print May 16, 2018.

Affiliate Access Only

machine learningMay 1, 2018

M Sadeghi, E Björnson, EG Larsson, C Yuen, TL Marzetta, “Mrt-Based Joint Unicast and Multigroup Multicast Transmission in Massive Mimo Systems,” 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, April 2018.

Affiliate Access Only

machine learningApril 15, 2018

E. Erkip, S. Panwar, S. Shahsavari, F. Fund, “Capturing Capacity and Profit Gains with Base Station Sharing in mmWave Cellular Networks” e-print in arXiv.org:1804.0985, Apr. 2018.

Affiliate Access Only

machine learning, terahertzApril 1, 2018

S. Shahsavari, A. Ashikhmin, E. Erkip, and T. L. Marzetta, “Coordinated multi-point massive MIMO cellular systems with sectorized antennas,” 52nd IEEE Asilomar Conference on Signals, Systems, and Computers, 2018.

Affiliate Access Only

machine learning, mobile edgeFebruary 20, 2018

“Typicality Matching for Pairs of Correlated Graphs,” Information Theory (ISIT), 2018 IEEE International Symposium on. IEEE, Feb 3, 2018.

Affiliate Access Only

machine learning, SecurityFebruary 3, 2018

Y. Liu, Y. Liu, Y. Shen, K. Li, “Recommendation in a Changing World: Exploiting Temporal Dynamics in Ratings and Reviews”, in ACM Transactions on the Web, Volume 12 Issue 1, February 2018.

Affiliate Access Only

machine learningFebruary 1, 2018

M. Sadeghi, E. Björnson, E. G. Larsson, C. Yuen and T. L. Marzetta, “Max–Min Fair Transmit Precoding for Multi-Group Multicasting in Massive MIMO,” in IEEE Transactions on Wireless Communications, vol. 17, no. 2, pp. 1358-1373, Feb. 2018.

Affiliate Access Only

machine learning, MIMOFebruary 1, 2018

F. Shirani, G. Siddharth, E. Erkip, “Optimal Active Social Network De-anonymization Using Information Thresholds,” Information Theory (ISIT), 2018 IEEE International Symposium on. IEEE, Jan 19, 2018.

Affiliate Access Only

machine learning, SecurityJanuary 19, 2018

M. Heidari, F. Shirani, S. S. Pradhan, “Bounds on the Effective-length of Optimal Codes for Interference Channel with Feedback,” Information Theory (ISIT), 2018 IEEE International Symposium on. IEEE, Jan 16, 2018.

Affiliate Access Only

machine learningJanuary 16, 2018

Yuan Wang, Yao Wang, Yvonne W Lui, “Dynamic Causal Modelling with neuron firing model in generalized recurrent neural network framework,” ISMRM 2018.

Affiliate Access Only

5g and 6g apps, machine learningJanuary 1, 2018

Fanyi Duanmu, Xin Feng, Xiaoqing Zhu, Dan Tan, and Yao Wang, “A Multi-View Pedestrian Tracking Framework Based on Graph Matching,” IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), Miami, Florida, USA, 2018.

Affiliate Access Only

5g and 6g apps, machine learningJanuary 1, 2018

R. Wang, Y. Song, Y. Wang and J. Viventi, “Long-term prediction of μECOG signals with a spatio-temporal pyramid of adversarial convolutional networks,” 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC, 2018, pp. 1313-1317. doi: 10.1109/ISBI.2018.8363813.

Affiliate Access Only

5g and 6g apps, machine learningJanuary 1, 2018

S. Krishna, D. Shasha, T. Wies, “Go with the flow: Compositional Abstractions for Concurrent Data Structures,” Principles of Programming Languages 2018. 37:1-37:31.

Affiliate Access Only

machine learningJanuary 1, 2018

O. Levchenko, D.E. Yagoubi, R. Akbarinia, F. Masseglia, D. Shasha, B. Kolev, “Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets,” CIKM 2018 demonstration.

Affiliate Access Only

machine learningJanuary 1, 2018

G. Michale, R. Giugno, A. Ferro, M. Mongiovi, D. Shasha, A. Pulvirenti, “Fast Analytical Methods for Finding Significant Labeled Graph Motifs,” Data Mining Knowledge Discovery 32(2): 504-531 (2018).

Affiliate Access Only

machine learningJanuary 1, 2018

D. Yagoubi, R. Akbarinia, B. Kolev, O. Levchenko, F. Masseglia, P. Valduriez, D. Shasha, “ParCorr: Efficient Parallel Methods to Identify Similar Time Series Pairs across Sliding Windows,” Data Mining and Knowledge Discovery, 2018.

Affiliate Access Only

machine learningJanuary 1, 2018

F. Shirani, S. S. Pradhan, “Lattices from Linear Codes and Fine Quantization: General Continuous Sources and Channels,” Information Theory (ISIT), 2018 IEEE International Symposium on. IEEE, 2018.

Affiliate Access Only

machine learningJanuary 1, 2018

Shervin Minaee, Yao Wang, Anna Choromanska, Sohae Chung, Xiuyuan Wang, Els Fieremans, Steven Flanagan, Joseph Rath, Yvonne W Lui, “A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI”, International Engineering in Medicine and Biology Conference (EMBC), IEEE, 2018.

Affiliate Access Only

5g and 6g apps, machine learningJanuary 1, 2018

Yilin Song, Yao Wang, and Johnathan Viventi, “Adversarial autoencoder analysis on human μECoG dataset“, Dec. 2017.

Affiliate Access Only

5g and 6g apps, machine learningDecember 1, 2017

S. Wesemann and T. L. Marzetta, “Channel Training for Analog FDD Repeaters: Optimal Estimators and Cramér–Rao Bounds,” in IEEE Transactions on Signal Processing, vol. 65, no. 23, pp. 6158-6170, Dec.1, 1 2017.

Affiliate Access Only

machine learningDecember 1, 2017

S Wesemann, TL Marzetta, “Channel Training for Analog FDD Repeaters: Optimal Estimators and Cramér–Rao Bounds,” IEEE Transactions on Signal Processing 65 (23), 6158-6170, Dec. 2017

Affiliate Access Only

machine learningDecember 1, 2017

H Yang, TL Marzetta, “Max-Min SINR dependence on channel correlation in line-of-sight Massive MIMO,” GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, Dec. 2017

Affiliate Access Only

machine learningDecember 1, 2017

F. Shirani, G. Siddharth, E. Erkip, “Seeded graph matching: Efficient algorithms and theoretical guarantees,” 2017 51st Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov 28, 2017.

Affiliate Access Only

machine learningNovember 28, 2017

TL Marzetta, EG Larsson, H Yang, HQ Ngo, “Fundamentals of massive MIMO,” Cambridge University Press, Nov. 2016

Affiliate Access Only

machine learningNovember 17, 2017

Yilin Song, Chenge Li, Yao Wang “Pixel-wise object tracking“, Initial version: Nov. 2017, Last updated: July 2018.

Affiliate Access Only

5g and 6g apps, machine learningNovember 1, 2017

H Yang, TL Marzetta, “Massive MIMO with max-min power control in line-of-sight propagation environment,” IEEE Transactions on Communications 65 (11), 4685-4693, Nov. 2017

Affiliate Access Only

machine learningNovember 1, 2017

AAI Ibrahim, A Ashikhmin, TL Marzetta, DJ Love, “Cell-free massive MIMO systems utilizing multi-antenna access points,” 2017 51st Asilomar Conference on Signals, Systems, and Computers, 1517-1521, Oct. 2017

Affiliate Access Only

machine learningOctober 29, 2017

F. Shirani, G. Siddharth, E. Erkip, “An information theoretic framework for active de-anonymization in social networks based on group memberships,” 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, Oct 11, 2017.

Affiliate Access Only

machine learningOctober 11, 2017

Yuanyi Xue, Yao Wang, “A Novel Video Coding Framework using Self-adaptive Dictionary,” IEEE Transactions on Circuits and Systems for Video Technology, Oct. 2017.

Affiliate Access Only

5g and 6g apps, machine learningOctober 1, 2017

S. Rangan, A. K. Fletcher, V. K. Goyal, E. Byrne and P. Schniter, “Hybrid Approximate Message Passing,” in IEEE Transactions on Signal Processing, vol. 65, no. 17, pp. 4577-4592, Sept. 1, 2017.

Affiliate Access Only

AMP, machine learningSeptember 1, 2017

M. A. Kocak, D. Ramirez, E. Erkip, D. Shasha, “SafePredict: A Meta-Algorithm for Machine Learning That Uses Refusals to Guarantee Correctness,” Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence, August 2017

Affiliate Access Only

machine learningAugust 7, 2017

Rangan, Sundeep, Philip Schniter, and Alyson K. Fletcher, “Vector approximate message passing,” IEEE ISIT, July 2017.

Affiliate Access Only

machine learning, terahertzJuly 1, 2017

E Nayebi, A Ashikhmin, TL Marzetta, H Yang, BD Rao, “Precoding and power optimization in cell-free massive MIMO systems,” IEEE Transactions on Wireless Communications 16 (7), 4445-4459, July 2017

Affiliate Access Only

machine learningJuly 1, 2017

M. Zhang, M. Polese, M. Mezzavilla, S. Rangan, M. Zorzi “ns-3 Implementation of the 3GPP MIMO Channel Model for Frequency Spectrum above 6 GHz,” Workshop on ns-3, June 13 – 14, 2017, Porto, Portugal.

Affiliate Access Only

machine learning, terahertz, testbedsJune 7, 2017

M. Servajean, A. Joly, D. Shasha, J. Champ, E. Pacitti, “Crowdsourcing Thousands of Specialized Labels: a Bayesian active training approach,” in IEEE Transactions on Multimedia , Volume: 19, Issue: 6, June 2017, pp. 1376-1391.

Affiliate Access Only

machine learningJune 1, 2017

M. Borgerding; P. Schniter; S. Rangan, “AMP-Inspired Deep Networks for Sparse Linear Inverse Problems,” in IEEE Transactions on Signal Processing , vol. 65, no. 16, pp. 4293-4308.

Affiliate Access Only

machine learning, terahertzMay 25, 2017

S. Sun and T. S. Rappaport, “Millimeter Wave MIMO Channel Estimation Based on Adaptive Compressed Sensing,” 2017 IEEE International Conference on Communications Workshop (ICCW), May 2017.

Affiliate Access Only

machine learning, terahertzMay 23, 2017

A Adhikary, A Ashikhmin, TL Marzetta, “Uplink interference reduction in large-scale antenna systems,” IEEE Transactions on Communications 65 (5), 2194-2206, May 2017

Affiliate Access Only

machine learningMay 1, 2017

X. Yang, C. Liang, M. Zhao, H. Wang, H. Ding, Y. Liu, Y. Li, J. Zhang, “Collaborative Filtering Based Recommendation of Online Social Voting”, in IEEE Transactions On Computational Social Systems, Volume 4, Issue 1, Pages 1-13, March 2017.

Affiliate Access Only

machine learningMarch 1, 2017

HQ Ngo, A Ashikhmin, H Yang, EG Larsson, TL Marzetta, “Cell-free massive MIMO versus small cells,” IEEE Transactions on Wireless Communications 16 (3), 1834-1850

Affiliate Access Only

machine learningMarch 1, 2017

Fanyi Duanmu, Zhan Ma, Meng Xu, and Yao Wang, “An HEVC-Compliant Fast Screen Content Transcoding Framework Based on Mode Mapping”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018.

Affiliate Access Only

5g and 6g apps, machine learningJanuary 1, 2017

Yuan Wang, Yao Wang, Yvonne W Lui, “Generalized Recurrent Neural Network accommodating Dynamic Causal Modelling for functional MRI analysis,” ISMRM, 2017.

Affiliate Access Only

5g and 6g apps, machine learningJanuary 1, 2017

Shervin Minaee, Yao Wang, “Palmprint Recognition Using Deep Scattering Convolutional Network,” IEEE International Symposium on Circuits and Systems, 2017.

Affiliate Access Only

5g and 6g apps, machine learningJanuary 1, 2017

Yilin Song, Yao Wang and Jonathan Viventi, “Unsupervised Learning of Spike Pattern for Seizure Detection and Wavefront Estimation of High Resolution Micro Electrocorticographic (μECoG) Data,” IEEE transactions on nanobioscience 16.6 (2017): 418-427.

Affiliate Access Only

machine learningJanuary 1, 2017

S Minaee, Wang Y, Chung S, Wang X, Fieremans E, Flanagan S, Rath J, Lui YW., “A Machine Learning Approach For Identifying Patients with Mild Traumatic Brain Injury Using Diffusion MRI Modeling”, ASFNR 12th Annual Meeting, 2017.

Affiliate Access Only

machine learningJanuary 1, 2017

S Minaee, Y Wang, “Text Extraction From Texture Images Using Masked Signal Decomposition”, Global Conference on Signal and Information Processing, IEEE, 2017.

Affiliate Access Only

machine learningJanuary 1, 2017

Fanyi Duanmu, Zhan Ma, Meng Xu and Yao Wang, HEVC-Compliant Screen Content Transcoding Based on Mode Mapping and Fast Termination, IEEE Visual Communications and Image Processing (VCIP), 2017.

Affiliate Access Only

5g and 6g apps, machine learningJanuary 1, 2017

S. Rangan, A. K. Fletcher, P. Schniter and U. S. Kamilov, “Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization,” in IEEE Transactions on Information Theory, vol. 63, no. 1, pp. 676-697, Jan. 2017.

Affiliate Access Only

AMP, machine learningJanuary 1, 2017

D Ying, H Yang, TL Marzetta, DJ Love, “Heterogeneous massive MIMO with small cells,” 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 1-5, May. 2016

Affiliate Access Only

machine learningMay 15, 2016

Fanyi Duanmu; Zhan Ma; Wei Wang; Meng Xu; Yao Wang, “A novel screen content fast transcoding framework based on statistical study and machine learning,” IEEE International Conference on Image Processing, 2016.

Affiliate Access Only

machine learningJanuary 1, 2016

Fanyi Duanmu, Zhan Ma, Yao Wang, “Fast Mode and Partition Decision Using Machine Learning for Intra-Frame Coding in HEVC Screen Content Coding Extension,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2016.

Affiliate Access Only

machine learningJanuary 1, 2016

E Nayebi, A Ashikhmin, TL Marzetta, H Yang, “Cell-free massive MIMO systems,” 2015 49th Asilomar Conference on Signals, Systems and Computers, 695-699, Nov. 2015

Affiliate Access Only

machine learningNovember 8, 2015

HQ Ngo, EG Larsson, TL Marzetta, “Aspects of favorable propagation in massive MIMO,” 2014 22nd European Signal Processing Conference (EUSIPCO), 76-80, Sept. 2014

Affiliate Access Only

machine learningSeptember 1, 2015

HQ Ngo, A Ashikhmin, H Yang, EG Larsson, TL Marzetta, “Cell-free massive MIMO: Uniformly great service for everyone,” 2015 IEEE 16th international workshop on signal processing advances in wireless communications (SPAWC), June 2015

Affiliate Access Only

machine learningJune 28, 2015

H Yang, TL Marzetta, “On existence of power controls for massive MIMO,” 2015 IEEE International Symposium on Information Theory (ISIT), June 2015

Affiliate Access Only

machine learningJune 14, 2015

H Yang, TL Marzetta, “Energy efficient design of massive MIMO: How many antennas?,” 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 1-5, May 2015

Affiliate Access Only

machine learningMay 11, 2015

H Yang, TL Marzetta, “Performance of pilot reuse in multi-cell massive MIMO,” 2015 IEEE international black sea conference on communications and networking (BlackSeaCom), May 2015

Affiliate Access Only

machine learningMay 1, 2015

TL Marzetta, “Massive MIMO: an introduction,” Bell Labs Technical Journal 20, 11-22, 2015

Affiliate Access Only

machine learningApril 9, 2015

E Björnson, EG Larsson, TL Marzetta, “Massive MIMO: Ten myths and one critical question,”

Affiliate Access Only

machine learningMarch 23, 2015

H Yang, TL Marzetta, “Quantized beamforming in Massive MIMO,” 2015 49th Annual Conference on Information Sciences and Systems (CISS), 1-6, March 2015.

Affiliate Access Only

machine learningMarch 18, 2015

Fanyi Duanmu, Zhan Ma, Yao Wang, “Fast CU Partition Decision Using Machine Learning for Screen Content Compression,” IEEE International Conference on Image Processing (ICIP), Québec, Canada, 2015.

Affiliate Access Only

machine learningJanuary 1, 2015

S. Sun, T. S. Rappaport, R. W. Heath, A. Nix, S. Rangan, “MIMO for millimeter-wave wireless communications: beamforming, spatial multiplexing, or both?” IEEE Communications Magazine, vol. 52, no. 12, pp. 110-121, December 2014.

Affiliate Access Only

machine learning, MIMO, mmwave rappaport, terahertzNovember 26, 2014

Shervin Minaee, Yao Wang, Yvonne W Lui, “Prediction of Longterm Outcome of Neuropsychological Tests of MTBI Patients Using Imaging Features,” IEEE Signal Processing in Medicine and Biology Symposium, 2013.

Affiliate Access Only

machine learningDecember 7, 2013

F Boccardi, RW Heath Jr, A Lozano, TL Marzetta, P Popovski, “Five disruptive technology directions for 5G,” arXiv preprint arXiv:1312.0229, Dec. 2013

Affiliate Access Only

machine learningDecember 1, 2013

H Yang, TL Marzetta, “Total energy efficiency of cellular large scale antenna system multiple access mobile networks,” 2013 IEEE Online Conference on Green Communications (OnlineGreenComm), 27-32, Oct. 2013

Affiliate Access Only

machine learningOctober 29, 2013

HQ Ngo, EG Larsson, TL Marzetta, “Massive MU-MIMO downlink TDD systems with linear precoding and downlink pilots,” 2013 51st Annual Allerton conference on communication, control, and …

Affiliate Access Only

machine learningOctober 5, 2013

HQ Ngo, EG Larsson, TL Marzetta, “The multicell multiuser MIMO uplink with very large antenna arrays and a finite-dimensional channel,” IEEE Transactions on Communications 61 (6), 2350-2361, June 2013

Affiliate Access Only

machine learningJune 1, 2013

EG Larsson, O Edfors, F Tufvesson, TL Marzetta, “Massive MIMO for next generation wireless systems,” arXiv preprint arXiv:1304.6690, April 2013

Affiliate Access Only

machine learningApril 24, 2013

HQ Ngo, EG Larsson, TL Marzetta, “Energy and spectral efficiency of very large multiuser MIMO systems,” IEEE Transactions on Communications 61 (4), 1436-1449, April 2013

Affiliate Access Only

machine learningApril 1, 2013

H Yang, TL Marzetta, “Performance of conjugate and zero-forcing beamforming in large-scale antenna systems,” IEEE Journal on Selected Areas in Communications 31 (2), 172-179, Feb. 2013

Affiliate Access Only

machine learningFebruary 1, 2013

F Fernandes, A Ashikhmin, TL Marzetta, “Inter-cell interference in noncooperative TDD large scale antenna systems,” IEEE Journal on Selected Areas in Communications 31 (2), 192-201, Feb. 2013

Affiliate Access Only

machine learningFebruary 1, 2013

C Shepard, H Yu, N Anand, E Li, T Marzetta, R Yang, L Zhong, “Argos: Practical many-antenna base stations,” Proceedings of the 18th annual international conference on Mobile computing and networking

Affiliate Access Only

machine learningAugust 22, 2012

A Ashikhmin, T Marzetta, “Pilot contamination precoding in multi-cell large scale antenna systems,” 2012 IEEE International Symposium on Information Theory Proceedings, July 2012

Affiliate Access Only

machine learningJuly 1, 2012

F Rusek, D Persson, BK Lau, EG Larsson, TL Marzetta, O Edfors, “Scaling up MIMO: Opportunities and challenges with very large arrays,” arXiv preprint arXiv:1201.3210, Jan. 2012

Affiliate Access Only

machine learningJanuary 16, 2012

HQ Ngo, TL Marzetta, EG Larsson, “Analysis of the pilot contamination effect in very large multicell multiuser MIMO systems for physical channel models,” ICASSP, 3464-3467, May 2011

Affiliate Access Only

machine learningMay 22, 2011

TL Marzetta, “Noncooperative cellular wireless with unlimited numbers of base station antennas,” IEEE Transactions on Wireless Communications 9 (11), 3590

Affiliate Access Only

machine learningNovember 1, 2010

“A random matrix-theoretic approach to handling singular covariance estimates,” IEEE Transactions on Information Theory 57 (9), 6256-6271, Oct. 2010

Affiliate Access Only

machine learningOctober 4, 2010

J Jose, A Ashikhmin, TL Marzetta, S Vishwanath, “Pilot contamination and precoding in multi-cell TDD systems,” IEEE Transactions on Wireless Communications 10 (8), 2640-2651

Affiliate Access Only

machine learningJune 30, 2010

K Appaiah, A Ashikhmin, TL Marzetta, “Pilot contamination reduction in multi-user TDD systems,” 2010 IEEE International Conference on Communications, 1-5, May 2010

Affiliate Access Only

machine learningMay 23, 2010