Preliminary Program

Monday, 7/23 (Registration hours: 08:00 – 16:30)



08:40 – 09:00

Welcome by General and Program Co-Chairs

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)

10:00 – 10:20

Coffee Break

10:20 – 12:00

Session 1A

Machine Learning - Inference

Session Chair: Sanghamitra Roy
(Utah State University)
X. Sharon Hu
(University of Notre Dame)

Session 1B

Hardware Security

Session Co-Chairs: Hui Wu
(University of Rochester)
Jack Sampson
(Pennsylvania State University)

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


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

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


12:00 – 13:30


13:30 – 14:45

2A. Energy Efficient Wireline Circuits

Session Co-Chairs: Jongsun Park
(Korea University)
Mingoo Seok
(Columbia University)

2B. Approximate Computing

Session Co-Chairs: Xuan 'Silvia' Zhang
(Washington University in St. Louis)
Vijay Raghunathan
(Purdue University)

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

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

14:45 – 15:15

Coffee Break

15:15 – 16:30

Session 3A

Architectural Techniques

Session Chairs: Deliang Fan
(University of Central Florida)
Pietro Mercati

Special Session 3B

Far-out Ideas

Session Chair: Saibal Mukhopadhyay
(Georgia Institute of Technology)

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

(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

17:00 – 19:00

Industry Reception, Poster Session & Design Contest Demos

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


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


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


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

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

Tuesday, 7/24 (Registration hours: 08:30 – 16:00)



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)

10:00 – 10:20

Coffee Break

10:20 – 12:00

Session 4A

Machine Learning - Training

Session Chairs: Sungjoo Yoo
(Seoul National University)
Jae-Joon Kim
(Pohang University of Science and Techology)

Session 4B

Non-volatile Memory

Session Co-Chairs: Amit Trivedi
(University of Illinois at Chicago)
Charles Augustine
(Intel Circuit Research Lab)

(Invited) Taming the beast: Programming Peta-FLOP class Deep Learning Systems

Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Kailash Gopalakrishnan, Leland Chang


TrainWare: A Memory Optimized Weight Update Architecture for On-Device Convolutional Neural Network Training

Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim


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

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

12:00 – 13:00


13:00 – 14:15

Session 5A

Energy-efficient Parallelism

Session Chairs: Sung Woo Chung
(Korea University)
Barry Pangrle
(Esperanto Technologies)

Session 5B

Self-Powered Devices

Session Chair: Younghyun Kim
(University of Wisconsin-Madison)
Massimo Poncino
(Politecnico di Torino)

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

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

14:15 – 14:45

Coffee Break

14:45 – 16:25

Session 6A

Design and 3D Integration

Session Chair: Mikko Lipasti
U. Wisconsin-Madiosn
Minki Cho

Special Session 6B

Industry ML/AI Compute

Session Chair: Matthew Ziegler
(IBM T. J. Watson Research Center)

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

(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


(Invited) Ultra-Low power AI at the Edge

David Garrett


(Invited) Efficient and Scalable Neuromorphic Systems

Vivek De


16:30 – 17:30


17:30 – 20:00

Conference Banquet

Wednesday, 7/25



09:00 – 10:00

Keynote III

Power efficient embedded sensing, perception and intelligence at the edge

Dr. Flavio Ribeiro


Session Chair: Matthew Ziegler (IBM T. J. Watson Research Center)

10:00 – 10:30

Coffee Break

10:30 – 11:45

Speclial Session 7A


Session Chair: Thomas Wenisch
(U. Michigan)

Session 7B

Mobile Applications

Session Chair: Mahdi Bojnordi
(University of Utah)
Naehyuck Chang


Kaushik Roy

Purdue University


Todd Austin

University of Michigan


Prabal Dutta

University of California - Berkeley

(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

11:45 – 12:00

Closing Remarks