Preliminary Program
Monday, 7/23 (Registration hours: 08:00 – 16:30)
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8:00 |
Registration |
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08:40 – 09:00 |
Welcome by General and Program Co-Chairs
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09:00 – 10:00 |
Keynote I Unlocking new IoT application domains through ultra-low power mm-scale sensor node design Prof. David Blaauw University of Michigan Chair: Thomas Wenisch (U. Michigan)
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10:00 – 10:20 |
Coffee Break |
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10:20 – 12:00 |
Session 1A Machine Learning - Inference
Session Chair: Sanghamitra Roy
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Session 1B Hardware Security
Session Co-Chairs: Hui Wu
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Value-driven Synthesis for Neural Network ASICs Zhiyuan Yang and Ankur Srivastava University of Maryland College Park
CLINK: Compact LSTM Inference Kernel for Energy Efficient Neurofeedback Device Best Paper Nominee Zhe Chen, Andrew Howe, Hugh T. Blair, Jason Cong UCLA
Compact Convolution Mapping on Neuromorphic Hardware using Axonal Delay Best Paper Nominee Jinseok Kim1, Yulhwa Kim1, Sungho Kim2, Jae-Joon Kim1 1Pohang University of Science and Techology, 2Samsung Advanced Institute of Technology
NNest: Early-Stage Design Space Exploration Tool for Neural Network Inference Accelerators Liu Ke, Xin He, Xuan Zhang Washington University in St Louis
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Blacklist Core: Machine-Learning Based Dynamic Operating-Performance-Point Blacklisting for Mitigating Power-Management Security Attacks Sheng Zhang, Adrian Tang, Zhewei Jiang, Simha Sethumadhavan, Mingoo Seok Columbia University
Threshold Defined Camouflaged Gates in 65nm Technology for Reverse Engineering Protection Anirudh Iyengar1, Deepak Vontela2, Ithihasa Reddy2, Swaroop Ghosh1, Seyedhamidreza Motaman1, Jae-Won Jang1 1Pennsylvania State University, 2University of South Florida
Reliability and Uniformity Enhancement in 8T-SRAM based PUFs operating at NTC Pramesh Pandey, Asmita Pal, Koushik Chakraborty, Sanghamitra Roy Utah State University
Efficient and Secure Group Key Management in IoT using Multistage Interconnected PUF Hongxiang Gu and Miodrag Potkonjak UCLA
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12:00 – 13:30 |
Lunch |
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13:30 – 14:45 |
2A. Energy Efficient Wireline Circuits
Session Co-Chairs: Jongsun Park
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2B. Approximate Computing
Session Co-Chairs: Xuan 'Silvia' Zhang
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An Energy-Efficient High-Swing PAM-4 Voltage-Mode Transmitter Lejie Lu, Yong Wang, Hui Wu University of Rochester
Energy-Efficient Dynamic Comparator with Active Inductor for Receiver of Memory Interfaces Jae Whan Lee1, Joo-Hyung Chae1, Jihwan Park2, Hyunkyu Park1, Jaekwang Yun1, Suhwan Kim1 1Seoul National University, 2SK Hynix
4-Channel Push-Pull VCSEL Drivers for HDMI Active Optical Cable in 0.18-um CMOS Jeongho Hwang, Hong-Seok Choi, Hyungrok Do, Gyu-Seob Jeong, Daehyun Koh, Seong Ho Park, Deog-Kyoon Jeong Seoul National University
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RMAC: Runtime Configurable Floating Point Multiplier for Approximate Computing Mohsen Imani, Ricardo Garcia, Saransh Gupta, Tajana Rosing University of California San Diego
Designing Efficient Imprecise Adders using Multi-bit Approximate Building Blocks Sarvenaz Tajasob1, Morteza Rezaalipour1, Masoud Dehyadegari1, Mahdi Nazm Bojnordi2 1K. N. Toosi University of Technology, 2University of Utah
An Energy-Efficient,Yet Highly-Accurate, Approximate Non-Iterative Divider Marzieh Vaeztourshizi1, Mehdi Kamal2, Ali Afzali-Kusha2, Massoud Pedram1 1USC, 2University of Tehran
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14:45 – 15:15 |
Coffee Break |
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15:15 – 16:30 |
Session 3A Architectural Techniques
Session Chairs: Deliang Fan
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Special Session 3B Far-out Ideas
Session Chair: Saibal Mukhopadhyay
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Aggressive Slack Recycling via Transparent Pipelines Gokul Subramanian Ravi, Mikko Lipasti University of Wisconsin - Madison
Pareto-Optimal Power- and Cache-Aware Task Mapping for Many-Cores with Distributed Shared Last-Level Cache Martin Rapp, Anuj Pathania, Jorg Henkel Karlsruhe Institute of Technology SPONGE: A Scalable Pivot-based On/Off Gating Engine for Reducing Static Power in NoC Routers Hossein Farrokhbakht1, Hadi Mardani Kamali2, Natalie Enright Jerger3, Shaahin Hessabi1 1Sharif University of Technology, 2George Mason University, 3University of Toronto
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(Invited) Insights from Biology – Low Power Circuits in the Brain of a Fruit Fly Lou Scheffer Howard Hughes Medical Institute
(Invited) Next-Generation Microelectronics for Space: Challenges and Solutions Manuel Cabanas-Holmen The Boeing Company (Invited) A quantum future of computation Matthias Troyer Quantum Architectures and Computation group, Microsoft |
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17:00 – 19:00 |
Industry Reception, Poster Session & Design Contest Demos
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P1. A Low-power 4096×2160@30fps H.265/HEVC Video Encoder for Smart Video Surveillance Ke Xu1,2, Yu Li1, Bo Huang1, Xiangkai Liu1, Hong Wang1, Zhuoyan Wu1, Zhanpeng Yan1, Xueying Tu1, Tongqing Wu1, Daibing Zeng1 1ZTE Microelectronics Research Institute, 2State Key Laboratory of Mobile Network and Mobile Multimedia Technology
P2. Breaking POps/J Barrier with Analog Multiplier Circuits Based on Nonvolatile Memories M. Reza Mahmoodi, Dmitri Strukov University of California Santa Barbara
P3. Efficient Image Sensor Subsampling for DNN-Based Image Classification Jia Guo, Hongxiang Gu, Miodrag Potkonjak UCLA
P4. Input-Splitting of Large Neural Networks for Power-Efficient Accelerator with Resistive Crossbar Memory Array Yulhwa Kim, Hyungjun Kim, Daehyun Ahn, Jae-Joon Kim POSTECH
P5. Design Optimization of 3D MPSoCs with Integrated Flow Cell Arrays Artem Andreev1, Fulya Kaplan2, Marina Zapater1, David Atienza2, Ayse Coskun2 1EPFL, 2Boston University
P6. Multi-Pattern Active Cell Balancing Architecture and Equalization Strategy for Battery Packs Swaminathan Narayanaswamy, Sangyoung Park, Sebastian Steinhorst, Samarjit Chakraborty Technische Universität München
P7. Intrinsic and Database-free Watermarking in ICs by Exploiting Process and Design Dependent Variability in Metal-Oxide-Metal Capacitances Ahish Shylendra1, Swarup Bhunia2, Amit Ranjan Trivedi1 1University of Illinois at Chicago, 2University of Florida
P8. Scheduling of Hybrid Battery-Supercapacitor Control Instructions for Longevity in Systems with Power Gating Sumanta Pyne National Institute of Technology Rourkela
P9. Better-Than-Worst-Case Design Methodology for a Compact Integrated Switched-Capacitor DC-DC Converter Dongkwun Kim, Mingoo Seok Columbia University
P10. Dynamic Bitwidth Re-Configuration for Energy Efficient Deep Learning Hardware Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino Politecnico di Torino
P11. Deploying Customized Data Representation and Approximate Computing in Machine Learning Applications Mahdi Nazemi, Massoud Pedram USC
P12. Battery-Aware Energy Model of Drone Delivery Tasks Donkyu Baek, Yukai Chen, Alberto Bocca, Alberto Macii, Enrico Macii, Massimo Poncino Politecnico di Torino
P13. A Fully Onchip Binarized Convolutional Neural Network FPGA Impelmentation with Accurate Inference Li Yang, Zhezhi He, Deliang Fan University of Central Florida
P14. In-situ Stochastic Training of MTJ Crossbar based Neural Networks Ankit Mondal, Ankur Srivastava University of Maryland
P15. Variation-Aware Pipelined Cores through Path Shaping and Dynamic Cycle Adjustment: Case Study on a Floating-Point Unit Ioannis Tsiokanos, Lev Mukhanov, Dimitrios S. Nikolopoulos, Georgios Karakonstantis Queen's University Belfast
P16. A 2.6 mW Single-Ended Positive Feedback LNA for 5G Applications Sana Arshad1, Azam Beg2, Rashad Ramzan2 1NED University of Eng. & Tech., 2UAE University
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D1. AxSerBus: A Quality-Configurable Approximate Serial Bus for Energy-Efficient Sensing Setareh Behroozi1, Jingjie Li1, Vijay Raghunathan2, Anand Raghunathan2 and Younghyun Kim1 1University of Wisconsin-Madison, 2Purdue University D2. A Micro-Watt Smart Audio Detector for Zero-Power Always-On Sensing Michele Magno1, Philipp Mayer1 and Luca Benini2 1ETH Zurich, 2Università di Bologna D3. ZeroTouch: Zero-Power Smart Receiver for Touch Communication and Sensing for Internet of Thing and Wearable Applications Philipp Mayer, Michele Magno ETH Zurich
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Tuesday, 7/24 (Registration hours: 08:30 – 16:00)
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8:30 |
Registration |
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09:00 – 10:00 |
Keynote II 40 years of Low-Power RISC and Predictions for the Future Dr. David Ditzel CEO, Esperanto Technologies Chair: Jaydeep Kulkarni (University of Texas - Austin)
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10:00 – 10:20 |
Coffee Break |
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10:20 – 12:00 |
Session 4A Machine Learning - Training
Session Chairs: Sungjoo Yoo
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Session 4B Non-volatile Memory
Session Co-Chairs: Amit Trivedi
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(Invited) Taming the beast: Programming Peta-FLOP class Deep Learning Systems Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Kailash Gopalakrishnan, Leland Chang IBM
TrainWare: A Memory Optimized Weight Update Architecture for On-Device Convolutional Neural Network Training Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim KAIST
AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference Xin He1, Liu Ke1, Wenyan Lu2, Guihai Yan2, Xuan Zhang1 1Washington University in St. Louis, 2Institute of Computing Technology, Chinese Academy of Sciences
Spin Orbit Torque Device based Stochastic Multi-bit Synapses for On-chip STDP Learning Best Paper Nominee Gyuseong Kang, Yunho Jang, Jongsun Park Korea University
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Information Leakage Attacks on Emerging Non-Volatile Memory and Countermeasures Mohammad Nasim Imtiaz Khan, Swaroop Ghosh Pennsylvania State University
Enhancing the Energy Efficiency of Journaling File System via Exploiting Multi-Write Modes on MLC NVRAM Shuo-Han Chen1, Yuan-Hao Chang1, Tseng-Yi Chen2, Yu-Ming Chang1, Pei-Wen Hsiao3, Hsin-Wen Wei3, Wei-Kuan Shih4 1Academia Sinica, 2Yuan Ze University, 3Tamkang University, 4National Tsing Hua University
Computing in memory with FeFETs Best Paper Nominee Dayane Reis, Michael Niemier, X. Sharon Hu University of Notre Dame
Enabling Intra-Plane Parallel Block Erase in NAND Flash to Alleviate the Impact of Garbage Collection Tyler Garrett, Jun Yang, Youtao Zhang University of Pittsburgh
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12:00 – 13:00 |
Lunch |
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13:00 – 14:15 |
Session 5A Energy-efficient Parallelism
Session Chairs: Sung Woo Chung
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Session 5B Self-Powered Devices
Session Chair: Younghyun Kim
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Load-Triggered Warp Approximation on GPU Zhenhong Liu1, Daniel Wong2, Nam Sung Kim1 1UIUC, 2University of California Riverside
GAS: A Heterogeneous Memory Acceleration for Graph Processing Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing University of California San Diego ACE-GPU: Tackling Choke Point Induced Performance Bottlenecks in a Near-Threshold Computing GPU Tahmoures Shabanian, Aatreyi Bal, Prabal Basu, Koushik Chakraborty, Sanghamitra Roy Utah State University
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HomeRun: HW/SW Co-Design for Program Atomicity on Self-Powered Intermittent Systems Chih-Kai Kang1,3, Chun-Han Lin2, Pi-Cheng Hsiu1, Ming-Syan Chen1,3 1Academia Sinica, 2National Taiwan Normal University, 3National Taiwan University
EcoMicro: A Miniature Self-Powered Inertial Sensor Node Based on Bluetooth Low Energy Cheng-Ting Lee1, Yun-Hao Liang1, Pai H. Chou1, Ali Heydari Gorji2, Seyede Mahya Safavi2, Wen-Chan Shih3, Wen-Tsuen Chen3 1National Tsing Hua University, 2University of California Irvine, 3Academia Sinica Dual Mode Ferroelectric Transistor based Non-Volatile Flip-Flops for Intermittently Powered Systems Best Paper Nominee Sandeep Krishna Thirumala1, Arnab Raha2, Hrishikesh Jayakumar3, Kaisheng Ma4, Vijaykrishnan Narayanan4, Vijay Raghunathan1, Sumeet Gupta1 1Purdue University, 2Intel Corp., 3Qualcomm Inc., 4Penn State University
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14:15 – 14:45 |
Coffee Break |
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14:45 – 16:25 |
Session 6A Design and 3D Integration
Session Chair: Mikko Lipasti
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Special Session 6B Industry ML/AI Compute
Session Chair: Matthew Ziegler
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Multiple Combined Write-Read Peripheral Assists in 6T FinFET SRAMs for Low-VMIN IoT and Cognitive Applications Arijit Banerjee, Sumanth Kamineni, Benton H. Calhoun University of Virginia
Road to High-Performance 3D ICs: Performance Optimization Methodologies for Monolithic 3D ICs Kyungwook Chang, Sai Pentapati, Da Eun Shim, Sung Kyu Lim Georgia Institute of Technology
A Monolithic-3D SRAM Design with Enhanced Robustness and In-Memory Computation Support Srivatsa Rangachar Srinivasa1, Akshay Krishna Ramanathan1, Xueqing Li1, Wei-Hao Chen2, Fu-Kuo Hsueh3, Chih-Chao Yang3, Chang-Hong Shen3, Jia-Min Shieh3, Sumeet Gupta1,4, Meng-Fan Marvin Chang2, Swaroop Ghosh1, Jack Sampson1, Vijaykrishnan Narayanan1 1Penn State University, 2National Tsing Hua University Hsinchu, 3National Nano Device Laboratories, 4Purdue University
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(Invited) Across the Stack Opportunities for Deep Learning Acceleration Vijayalakshmi Srinivasan IBM T. J. Watson Research Center
(Invited) An Architecture for Low-Latency Cloud-Based DNN Inference Steve Reinhardt Microsoft
(Invited) Ultra-Low power AI at the Edge David Garrett Syntiant
(Invited) Efficient and Scalable Neuromorphic Systems Vivek De Intel
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16:30 – 17:30 |
Panel |
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17:30 – 20:00 |
Conference Banquet |
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Wednesday, 7/25
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8:30 |
Registration |
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09:00 – 10:00 |
Keynote III Power efficient embedded sensing, perception and intelligence at the edge Dr. Flavio Ribeiro Microsoft Session Chair: Matthew Ziegler (IBM T. J. Watson Research Center)
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10:00 – 10:30 |
Coffee Break |
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10:30 – 11:45 |
Speclial Session 7A DARPA/SRC JUMP Program
Session Chair:
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Session 7B Mobile Applications
Session Chair: Mahdi Bojnordi
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C-BRIC Kaushik Roy Purdue University
ADA Todd Austin University of Michigan
CONIX Prabal Dutta University of California - Berkeley
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(Invited) The promise of AR & New Challenges for Silicon Robert Shearer Facebook Reality Labs
App-Oriented Thermal Management of Mobile Devices Jihoon Park, Seokjun Lee, Hojung Cha Yonsei University
DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems Zirui Xu1, Zhuwei Qin1, Fuxun Yu1, Chenchen Liu2, Xiang Chen1 1George Mason University, 2Clarkson University
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11:45 – 12:00 |
Closing Remarks
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