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% Depth super-res benchmarks
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acmid = {2766922},
publisher = {ACM},
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}
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title={Semantic-Aware Virtual Reality Video Streaming},
author={Leng, Yue and Chen, Chi-Chun and Sun, Qiuyue and Huang, Jian and Zhu, Yuhao},
booktitle={Proceedings of the 9th Asia-Pacific Workshop on Systems},
pages={21},
year={2018},
organization={ACM}
}
@inproceedings{leng2019vrv,
title={Energy-Efficient Video Processing for Virtual Reality},
author={Yue Leng and Chi-chun Chen and Qiuyue Sun and Jian Huang and Yuhao Zhu
},
booktitle={ISCA},
year={2019},
organization={ACM}
}
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title={Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps},
author={Karen Simonyan and Andrea Vedaldi and Andrew Zisserman},
journal={ICLR WOrkshop},
year={2013},
}
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title={Visualizing and Understanding Convolutional Networks},
author={Matthew D. Zeiler and Rob Fergus},
booktitle={ECCV},
year={2014}
}
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author={Luisa M. Zintgraf and Taco Cohen and Tameem Adel and Max Welling},
journal={ICLR},
year={2017}
}
@article{borkin2013makes,
title={What makes a visualization memorable?},
author={Borkin, Michelle A and Vo, Azalea A and Bylinskii, Zoya and Isola, Phillip and Sunkavalli, Shashank and Oliva, Aude and Pfister, Hanspeter},
journal={IEEE Transactions on Visualization and Computer Graphics},
volume={19},
number={12},
pages={2306--2315},
year={2013},
publisher={IEEE}
}
@inproceedings{Bylinskii:2017:LVI:3126594.3126653,
author = {Bylinskii, Zoya and Kim, Nam Wook and O'Donovan, Peter and Alsheikh, Sami and Madan, Spandan and Pfister, Hanspeter and Durand, Fredo and Russell, Bryan and Hertzmann, Aaron},
title = {Learning Visual Importance for Graphic Designs and Data Visualizations},
booktitle = {Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology},
series = {UIST '17},
year = {2017},
isbn = {978-1-4503-4981-9},
location = {Qu\&\#233;bec City, QC, Canada},
pages = {57--69},
numpages = {13},
url = {http://doi.acm.org/10.1145/3126594.3126653},
doi = {10.1145/3126594.3126653},
acmid = {3126653},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {computer vision, deep learning, eye tracking, graphic design, machine learning, retargeting, saliency, visualization},
}
@article{stanley2018perceived,
title={Perceived-Color Approximation Transforms for Programs that Draw},
author={Stanley-Marbell, Phillip and Rinard, Martin},
journal={IEEE Micro},
volume={38},
number={4},
pages={20--29},
year={2018},
publisher={IEEE}
}
@ARTICLE{8054698,
author={T. {Moreau} and J. {San Miguel} and M. {Wyse} and J. {Bornholt} and A. {Alaghi} and L. {Ceze} and N. {Enright Jerger} and A. {Sampson}},
journal={IEEE Embedded Systems Letters},
title={A Taxonomy of General Purpose Approximate Computing Techniques},
year={2018},
volume={10},
number={1},
pages={2-5},
keywords={computation theory;systems analysis;energy efficiency;general purpose approximate computing;accuracy-efficiency tradeoffs;correctability;reproducibility;Taxonomy;Random access memory;Approximate computing;Synchronization;Testing;Measurement uncertainty;Computer architecture;Approximate computing;computer architecture},
doi={10.1109/LES.2017.2758679},
ISSN={1943-0663},
month={March},}
@inproceedings{xu2018videochef,
title={Videochef: efficient approximation for streaming video processing pipelines},
author={Xu, Ran and Koo, Jinkyu and Kumar, Rakesh and Bai, Peter and Mitra, Subrata and Misailovic, Sasa and Bagchi, Saurabh},
booktitle={{USENIX} {ATC}},
pages={43--56},
year={2018}
}
@INPROCEEDINGS{8342234,
author={V. T. {Lee} and A. {Alaghi} and L. {Ceze}},
booktitle={2018 Design, Automation Test in Europe Conference Exhibition (DATE)},
title={Correlation manipulating circuits for stochastic computing},
year={2018},
volume={},
number={},
pages={1417-1422},
keywords={adders;circuit CAD;logic design;low-power electronics;stochastic processes;stochastic computing;error tolerant solutions;unary bitstreams;SC arithmetic circuits;input bitstreams;SC accelerators;SC operations;SC computation;SC maximum;saturating adder designs;correlation manipulating circuits;correlation manipulation techniques;Correlation;Synchronization;Adders;Decorrelation;Pipelines;Image coding;Stochastic computing;correlation manipulation},
doi={10.23919/DATE.2018.8342234},
ISSN={1558-1101},
month={March},}
@inproceedings{Guo:2016:HIS:2872362.2872413,
author = {Guo, Qing and Strauss, Karin and Ceze, Luis and Malvar, Henrique S.},
title = {High-Density Image Storage Using Approximate Memory Cells},
booktitle = {Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems},
series = {ASPLOS '16},
year = {2016},
isbn = {978-1-4503-4091-5},
location = {Atlanta, Georgia, USA},
pages = {413--426},
numpages = {14},
url = {http://doi.acm.org/10.1145/2872362.2872413},
doi = {10.1145/2872362.2872413},
acmid = {2872413},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {approximate storage, image encoding, multi-level cells},
}
@INPROCEEDINGS{6560729,
author={A. {Alaghi} and {Cheng Li} and J. P. {Hayes}},
booktitle={2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC)},
title={Stochastic circuits for real-time image-processing applications},
year={2013},
volume={},
number={},
pages={1-6},
keywords={feature extraction;image processing;image sensors;network synthesis;stochastic processes;stochastic circuits;real-time image-processing;retinal implants;vision restoration;feature extraction;image-processing circuits design;stochastic computing techniques;image sensors;stochastic designs;Image edge detection;Radiation detectors;Noise;Real-time systems;Tin;Clocks;Emerging Technologies;Image Processing;Real-Time Computing;Stochastic Computing;Vision Chips},
doi={10.1145/2463209.2488901},
ISSN={0738-100X},
month={May},}
@inproceedings{sampson2011enerj,
title={EnerJ: Approximate data types for safe and general low-power computation},
author={Sampson, Adrian and Dietl, Werner and Fortuna, Emily and Gnanapragasam, Danushen and Ceze, Luis and Grossman, Dan},
booktitle={ACM SIGPLAN Notices},
volume={46},
number={6},
pages={164--174},
year={2011},
organization={ACM}
}
@inproceedings{buckler2018eva2,
title={EVA$^2$: Exploiting Temporal Redundancy in Live Computer Vision},
author={Buckler, Mark and Bedoukian, Philip and Jayasuriya, Suren and Sampson, Adrian},
booktitle={2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture (ISCA)},
pages={533--546},
year={2018},
organization={IEEE}
}
@inproceedings{Yan:2017:TMP:3123266.3123344,
author = {Yan, Zhisheng and Chen, Chang Wen},
title = {Too Many Pixels to Perceive: Subpixel Shutoff for Display Energy Reduction on OLED Smartphones},
booktitle = {Proceedings of the 25th ACM International Conference on Multimedia},
series = {MM '17},
year = {2017},
isbn = {978-1-4503-4906-2},
location = {Mountain View, California, USA},
pages = {717--725},
numpages = {9},
url = {http://doi.acm.org/10.1145/3123266.3123344},
doi = {10.1145/3123266.3123344},
acmid = {3123344},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {energy reduction, oled display, smartphones},
}
@inproceedings{esmaeilzadeh2011dark,
title={Dark silicon and the end of multicore scaling},
author={Esmaeilzadeh, Hadi and Blem, Emily and Amant, Renee St and Sankaralingam, Karthikeyan and Burger, Doug},
booktitle={2011 38th Annual international symposium on computer architecture (ISCA)},
pages={365--376},
year={2011},
organization={IEEE}
}
@inproceedings{hauswald2014hybrid,
title={A hybrid approach to offloading mobile image classification},
author={Hauswald, Johann and Manville, Thomas and Zheng, Qi and Dreslinski, Ronald and Chakrabarti, Chaitali and Mudge, Trevor},
booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},
pages={8375--8379},
year={2014},
organization={IEEE}
}
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author = {Weste, Neil and Harris, David},
title = {CMOS VLSI Design: A Circuits and Systems Perspective},
year = {2010},
isbn = {0321547748, 9780321547743},
edition = {4th},
publisher = {Addison-Wesley Publishing Company},
address = {USA},
}
@techreport{amos2016openface,
title={OpenFace: A general-purpose face recognition
library with mobile applications},
author={Amos, Brandon and Bartosz Ludwiczuk and Satyanarayanan, Mahadev},
year={2016},
institution={CMU-CS-16-118, CMU School of Computer Science},
}
@inproceedings{bong20170,
title={A 0.62 mW ultra-low-power convolutional-neural-network face-recognition processor and a CIS integrated with always-on haar-like face detector},
author={Bong, Kyeongryeol and Choi, Sungpill and Kim, Changhyeon and Kang, Sanghoon and Kim, Youchang and Yoo, Hoi-Jun},
booktitle={Solid-State Circuits Conference (ISSCC), 2017 IEEE International},
pages={248--249},
year={2017},
organization={IEEE}
}
@misc{lecun_fb,
author = {LeCun, Yann},
title = {Facebook},
year = {2015},
month={March},
note={\url{https://www.facebook.com/yann.lecun/posts/10152695097142143?comment_id=10152700549642143}. Accessed: 2017-06-06}
}
@INPROCEEDINGS{face_auth,
author={M. Bicego and A. Lagorio and E. Grosso and M. Tistarelli},
booktitle={2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06)},
title={On the Use of SIFT Features for Face Authentication},
year={2006},
keywords={Authentication;Biometrics;Face detection;Face recognition;Image analysis;Image databases;Independent component analysis;Object recognition;Pattern recognition;Testing},
doi={10.1109/CVPRW.2006.149},
ISSN={2160-7508},
month={June},}
@ARTICLE{verma_sram,
author={Verma, N. and Chandrakasan, A.P.},
journal={Solid-State Circuits, IEEE Journal of},
title={A 256 kb 65 nm 8T Subthreshold SRAM Employing Sense-Amplifier Redundancy},
year={2008},
volume={43},
number={1},
keywords={CMOS integrated circuits;SRAM chips;amplifiers;CMOS;bit-cell supply voltage;energy constrained applications;plaguing area-offset tradeoff;power 2.2 muW;read functionality;sense-amplifier redundancy;size 65 nm;storage capacity 256 Kbit;subthreshold SRAM;voltage 350 mV;write functionality;Leakage current;Logic arrays;Logic devices;Low voltage;MOSFET circuits;Random access memory;Redundancy;Stability;Threshold voltage;Voltage control;CMOS memory circuits;Cache memories;SRAM chips;leakage currents;low-power electronics;redundancy},
doi={10.1109/JSSC.2007.908005},
ISSN={0018-9200},
month={Jan},}
@TechReport{LFWTech,
author = {Gary B. Huang and Manu Ramesh and Tamara Berg and
Erik Learned-Miller},
title = {Labeled Faces in the Wild: A Database for Studying
Face Recognition in Unconstrained Environments},
institution = {University of Massachusetts, Amherst},
year = 2007,
number = {07-49},
month = {October}}
@inproceedings{attfaces,
title={Parameterisation of a stochastic model for human face identification},
author={Samaria, Ferdinando S and Harter, Andy C},
booktitle={Applications of Computer Vision, 1994., Proceedings of the Second IEEE Workshop on},
year={1994},
organization={IEEE}
}
@INPROCEEDINGS{makemoresamples,
author={A. M. Martinez},
booktitle={Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on},
title={Recognizing expression variant faces from a single sample image per class},
year={2003},
volume={1},
doi={10.1109/CVPR.2003.1211375},
ISSN={1063-6919},
month={June},}
@ARTICLE{lowvoltage09,
author={S. Hanson and M. Seok and Y. S. Lin and Z. Foo and D. Kim and Y. Lee and N. Liu and D. Sylvester and D. Blaauw},
journal={IEEE Journal of Solid-State Circuits},
title={A Low-Voltage Processor for Sensing Applications With Picowatt Standby Mode},
year={2009},
volume={44},
number={4},
doi={10.1109/JSSC.2009.2014205},
ISSN={0018-9200},
month={April},}
@article{temp_uarch,
author = {Skadron, Kevin and Stan, Mircea R. and Sankaranarayanan, Karthik and Huang, Wei and Velusamy, Sivakumar and Tarjan, David},
title = {Temperature-aware Microarchitecture: Modeling and Implementation},
journal = {ACM Trans. Archit. Code Optim.},
issue_date = {March 2004},
volume = {1},
number = {1},
month = mar,
year = {2004},
issn = {1544-3566},
doi = {10.1145/980152.980157},
acmid = {980157},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {Dynamic compact thermal models, dynamic thermal management, dynamic voltage scaling, feedback control, fetch gating},
}
@ARTICLE{qazi_sram,
author={Qazi, M. and Sinangil, M.E. and Chandrakasan, A.P.},
journal={Design Test of Computers, IEEE},
title={Challenges and Directions for Low-Voltage SRAM},
year={2011},
volume={28},
number={1},
keywords={CMOS memory circuits;SRAM chips;low-power electronics;bit cell;low supply voltage;low-voltage SRAM;read-write assist circuit;transistor threshold voltage;ultra-low-power battery-operated system;CMOS memory circuits;SRAM;cache memories;design and test;embedded memory;low-power electronics;low-voltage electronics;random-access storage},
doi={10.1109/MDT.2010.115},
ISSN={0740-7475},
month={Jan},}
@incollection{mathias_fd,
year={2014},
isbn={978-3-319-10592-5},
booktitle={ECCV 2014},
doi={10.1007/978-3-319-10593-2_47},
title={Face Detection without Bells and Whistles},
author={Mathias, Markus and Benenson, Rodrigo and Pedersoli, Marco and Van Gool, Luc},
language={English}
}
@TechReport{fann,
author = {S. Nissen},
title = {Implementation of a Fast Artificial Neural Network Library (fann)},
institution = {Department of Computer Science University of Copenhagen (DIKU)},
year = {2003},
note = {http://fann.sf.net},
}
@MISC{adaboost,
author = {Yoav Freund and Robert E. Schapire},
title = {A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting},
year = {1997}
}
@inproceedings{dino,
author = {Lucia, Brandon and Ransford, Benjamin},
title = {A Simpler, Safer Programming and Execution Model for Intermittent Systems},
booktitle = {Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation},
series = {PLDI 2015},
year = {2015},
isbn = {978-1-4503-3468-6},
location = {Portland, OR, USA},
doi = {10.1145/2737924.2737978},
acmid = {2737978},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {Intermittent Computing},
}
@inproceedings{mitcmu,
title={A statistical method for 3D object detection applied to faces and cars},
author={Schneiderman, Henry and Kanade, Takeo},
booktitle={Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on},
volume={1},
year={2000},
organization={IEEE}
}
@article{opencv,
author = {Bradski, G.},
citeulike-article-id = {2236121},
journal = {Dr. Dobb's Journal of Software Tools},
keywords = {bibtex-import},
posted-at = {2008-01-15 19:21:54},
priority = {4},
title = {The OpenCV Library},
year = {2000}
}
@Article{ecog,
Author="Kipke, D. R. and Shain, W. and Buzsaki, G. and Fetz, E. and Henderson, J. M. and Hetke, J. F. and Schalk, G. ",
Title="{{A}dvanced neurotechnologies for chronic neural interfaces: new horizons and clinical opportunities}",
Journal="J. Neurosci.",
Year="2008",
Volume="28",
Number="46",
Month="Nov"
}
@incollection{nn_fpga,
year={2003},
isbn={978-3-540-40822-2},
booktitle={Field Programmable Logic and Application},
volume={2778},
series={Lecture Notes in Computer Science},
editor={Y. K. Cheung, Peter and Constantinides, GeorgeA.},
title={FPGA Implementations of Neural Networks – A Survey of a Decade of Progress},
publisher={Springer Berlin Heidelberg},
author={Zhu, Jihan and Sutton, Peter},
language={English}
}
@INPROCEEDINGS{nsp_iscas,
author={Esmaeilzadeh, H. and Saeedi, P. and Araabi, B.N. and Lucas, C. and Sied Mehdi Fakhraie},
booktitle={Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on},
title={Neural network stream processing core (NnSP) for embedded systems},
year={2006},
keywords={DRAM chips;embedded systems;microprocessor chips;neural nets;parallel architectures;reconfigurable architectures;0.18 micron;NnSP processor;code-level statically reconfigurable processor;embedded systems;hardware core builder;neural network stream processing;neural-network-to-stream compiler;parallel architectures;parallel processors;Artificial neural networks;Cellular neural networks;Computer architecture;Computer networks;Distributed power generation;Embedded computing;Embedded system;Engines;Neural networks;VLIW},
doi={10.1109/ISCAS.2006.1693199},
month={May},}
@INPROCEEDINGS{pdi_nn,
author={Przytula, K.W.},
booktitle={Application Specific Array Processors, 1991. Proceedings of the International Conference on},
title={Parallel digital implementations of neural networks},
year={1991},
pages={162-176},
keywords={artificial intelligence;neural nets;parallel architectures;computational characteristics;connectionist neural networks models;mapping methodologies;neural networks;parallel digital implementation;performance;Artificial neural networks;Biological system modeling;Computer networks;Fasteners;Laboratories;Multi-layer neural network;Neural networks;Neurons;Parallel processing;Throughput},
doi={10.1109/ASAP.1991.238886},
month={Sep},}
@INPROCEEDINGS{deepface,
author={Taigman, Y. and Ming Yang and Ranzato, M. and Wolf, L.},
booktitle={Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on},
title={DeepFace: Closing the Gap to Human-Level Performance in Face Verification},
year={2014},
keywords={face recognition;image representation;neural nets;3D face modeling;DeepFace;LFW dataset;alignment step;deep neural network;face recognition;face representation;face verification;human-level performance;labeled faces in the wild;piecewise affine transformation;representation step;Agriculture;Face;Face recognition;Shape;Solid modeling;Three-dimensional displays;Training},
doi={10.1109/CVPR.2014.220},
month={June},}
@INPROCEEDINGS{farabet2010,
author={Farabet, C. and Martini, B. and Akselrod, P. and Talay, S. and LeCun, Y. and Culurciello, E.},
booktitle={Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on},
title={Hardware accelerated convolutional neural networks for synthetic vision systems},
year={2010},
pages={257-260},
keywords={application specific integrated circuits;computer vision;field programmable gate arrays;image recognition;image segmentation;neural nets;ASIC;FPGA;convolutional neural network;megapixel image;real time detection;real time recognition;real time segmentation;scalable hardware architecture;state-of-the-art multilayered artificial vision system;vision engine;Acceleration;Artificial neural networks;Computer architecture;Engines;Large-scale systems;Machine vision;Multi-layer neural network;Neural network hardware;Neural networks;Real time systems},
doi={10.1109/ISCAS.2010.5537908},
month={May},}
@INPROCEEDINGS{2d_cnn,
author={Dawwd, S.A.},
booktitle={Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on},
title={The multi 2D systolic design and implementation of Convolutional Neural Networks},
year={2013},
pages={221-224},
keywords={convolution;image resolution;neural net architecture;parallel processing;FIFO caching scheme;FPGA resources;convolution process;convolutional layers;image processing;interprocessing patterns;memory accesses;memory bandwidth;multi2D systolic design;parallelism level;scalable SCoNN architecture;scaled resolutions;sliding window architecture;systolic convolutional neural network architecture;systolic technique;Arrays;Convolution;Feature extraction;Hardware;Random access memory;Training},
doi={10.1109/ICECS.2013.6815394},
month={Dec},}
@article{lawrence1997face,
title={Face recognition: A convolutional neural-network approach},
author={Lawrence, Steve and Giles, C Lee and Tsoi, Ah Chung and Back, Andrew D},
journal={Neural Networks, IEEE Transactions on},
volume={8},
number={1},
pages={98--113},
year={1997},
publisher={IEEE}
}
@article{feraund2001fast,
title={A fast and accurate face detector based on neural networks},
author={Feraund, R and Bernier, Olivier J and Viallet, Jean-Emmanuel and Collobert, Michel},
journal={Pattern Analysis and Machine Intelligence, IEEE Transactions on},
volume={23},
number={1},
pages={42--53},
year={2001},
publisher={IEEE}
}
@article{garcia2004convolutional,
title={Convolutional face finder: A neural architecture for fast and robust face detection},
author={Garcia, Christophe and Delakis, Manolis},
journal={Pattern Analysis and Machine Intelligence, IEEE Transactions on},
volume={26},
number={11},
pages={1408--1423},
year={2004},
publisher={IEEE}
}
@article{adams2010frankencamera,
title={The Frankencamera: an experimental platform for computational photography},
author={Adams, Andrew and Talvala, Eino-Ville and Park, Sung Hee and Jacobs, David E and Ajdin, Boris and Gelfand, Natasha and Dolson, Jennifer and Vaquero, Daniel and Baek, Jongmin and Tico, Marius and others},
journal={ACM Transactions on Graphics (TOG)},
volume={29},
number={4},
pages={29},
year={2010},
publisher={ACM}
}
@inproceedings{shidiannao,
address = {New York, NY, USA},
series = {{ISCA} '15},
title = {{ShiDianNao}: {Shifting} {Vision} {Processing} {Closer} to the {Sensor}},
isbn = {978-1-4503-3402-0},
shorttitle = {{ShiDianNao}},
doi = {10.1145/2749469.2750389},
urldate = {2015-09-29},
booktitle = {Proceedings of the 42Nd {Annual} {International} {Symposium} on {Computer} {Architecture}},
publisher = {ACM},
author = {Du, Zidong and Fasthuber, Robert and Chen, Tianshi and Ienne, Paolo and Li, Ling and Luo, Tao and Feng, Xiaobing and Chen, Yunji and Temam, Olivier},
year = {2015},
pages = {92--104},
file = {ACM Full Text PDF:/Users/amrita/Library/Application Support/Zotero/Profiles/pdlkt79v.default/zotero/storage/TXI9S3U3/Du et al. - 2015 - ShiDianNao Shifting Vision Processing Closer to t.pdf:application/pdf}
}
@inproceedings{redeye,
author = {LiKamWa, Robert and Hou, Yunhui and Gao, Julian and Polansky, Mia and Zhong, Lin},
title = {RedEye: Analog ConvNet Image Sensor Architecture for Continuous Mobile Vision},
booktitle = {Proceedings of the 43nd Annual International Symposium on Computer Architecture (ISCA)},
year = {2016},
location = {Seoul, Korea},
publisher = {ACM},
address = {New York, NY, USA}
}
@inproceedings{eyeriss,
author = {{Chen, Yu-Hsin and Krishna, Tushar and Emer, Joel and Sze, Vivienne}},
title = {{Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks}},
booktitle = {{IEEE International Solid-State Circuits Conference, ISSCC 2016, Digest of Technical Papers}},
year = {{2016}},
pages = {{262-263}},
}
@inproceedings{minerva,
title = {Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators},
author = {Brandon Reagen and Paul Whatmough and Robert Adolf and Saketh Rama and Hyunkwang Lee and Sae Kyu Lee and José Miguel Hernández-Lobato and Gu-Yeon Wei and David Brooks},
url = {http://vlsiarch.eecs.harvard.edu/wp-content/uploads/2016/05/reagen_isca16.pdf},
year = {2016},
date = {2016-06-18},
booktitle = {International Symposium on Computer Architecture (ISCA)},
abstract = {The continued success of Deep Neural Networks (DNNs) in classification tasks has sparked a trend of accelerating their execution with specialized hardware. While published designs easily give an order of magnitude improvement over general-purpose hardware, few look beyond an initial implementation. This paper presents Minerva, a highly automated co-design approach across the algorithm, architecture, and circuit levels to optimize DNN hardware accelerators. Compared to an established fixed-point accelerator baseline, we show that fine-grained, heterogeneous datatype optimization reduces power by 1.5×; aggressive, inline predication and pruning of small activity values further reduces power by 2.0×; and active hardware fault detection coupled with domain-aware error mitigation eliminates an additional 2.7× through lowering SRAM voltages. Across five datasets, these optimizations provide a collective average of 8.1× power reduction over an accelerator baseline without compromising DNN model accuracy. Minerva enables highly accurate, ultra-low power DNN accelerators (in the range of tens of milliwatts), making it feasible to deploy DNNs in power-constrained IoT and mobile devices.},
keywords = {}
}
@article{eie,
author = {Song Han and
Xingyu Liu and
Huizi Mao and
Jing Pu and
Ardavan Pedram and
Mark A. Horowitz and
William J. Dally},
title = {{EIE:} Efficient Inference Engine on Compressed Deep Neural Network},
journal = {CoRR},
volume = {abs/1602.01528},
year = {2016},
url = {http://arxiv.org/abs/1602.01528},
timestamp = {Tue, 01 Mar 2016 17:47:25 +0100},
biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/HanLMPPHD16},
bibsource = {dblp computer science bibliography, http://dblp.org}
}
@INPROCEEDINGS{iot-sensor,
author={J. Choi and J. Shin and D. Kang and D. S. Park},
booktitle={2015 IEEE International Solid-State Circuits Conference - (ISSCC) Digest of Technical Papers},
title={6.3 A 45.5 #x03BC;W 15fps always-on CMOS image sensor for mobile and wearable devices},
year={2015},
pages={1-3},
keywords={CMOS image sensors;intelligent sensors;low-power electronics;mobile computing;user interfaces;CMOS image sensor;always-on CIS;device control;high-resolution sensors;image degradation;in-pixel circuits;mobile devices;power 45.5 muW;power consumption;smart sensing;user interface;wearable devices;CMOS image sensors;Electronics packaging;Intelligent sensors;Power demand;Transistors;Voltage control},
doi={10.1109/ISSCC.2015.7062952},
ISSN={0193-6530},
month={Feb},}
@INPROCEEDINGS{stoch-edge-sensor14,
author={D. Fick and G. Kim and A. Wang and D. Blaauw and D. Sylvester},
booktitle={Proceedings of the IEEE 2014 Custom Integrated Circuits Conference},
title={Mixed-signal stochastic computation demonstrated in an image sensor with integrated 2D edge detection and noise filtering},
year={2014},
pages={1-4},
keywords={analogue-digital conversion;edge detection;image sensors;interference suppression;2D edge detection;ADC;MSSC;data conversion;image sensor;latency-free edge detection;mixed-signal stochastic computing;noise filtering;signal path;Arrays;Filtering;Image edge detection;Image sensors;Noise;Radiation detectors;Transistors;Stochastic computing;edge detection;image sensor;integrated computation;mixed-signal;noise filtering;sensors},
doi={10.1109/CICC.2014.6946130},
ISSN={0886-5930},
month={Sept},}
@ARTICLE{edge-sensor15,
author={C. Lee and W. Chao and S. Lee and J. Hone and A. Molnar and S. H. Hong},
journal={IEEE Transactions on Circuits and Systems II: Express Briefs},
title={A Low-Power Edge Detection Image Sensor Based on Parallel Digital Pulse Computation},
year={2015},
volume={62},
number={11},
pages={1043-1047},
keywords={CMOS image sensors;adaptive optics;digital signal processing chips;edge detection;low-power electronics;oscillators;sensor arrays;voltage control;CMOS image sensor process;active optical area;all-digital low-power CMOS edge detection image sensor array;all-digital parallel processing algorithm;arithmetic computations;column-shared frequency comparator;cost-efficient digital-only edge detection method;low-power edge detection image sensor;parallel digital pulse computation;picture size 105 pixel;picture size 92 pixel;power 27.7 nW;power 8 mW;size 1 mm;size 1.3 mm;size 180 nm;size 8 mum;voltage 1.6 V;voltage-controlled ring oscillator;Arrays;Circuits and systems;Hardware;Image edge detection;Image sensors;Noise;Signal processing algorithms;CMOS image sensor;edge detection;pulse computation;voltage controlled ring oscillator;voltage-controlled ring oscillator (VCRO)},
doi={10.1109/TCSII.2015.2455354},
ISSN={1549-7747},