Day 1 August 8th
8:00 - 8:30	Conference Registration
8:30 - 8:50	Welcome by General and TPC Chairs
8:50 - 9:50	Keynote 1: Vida Ilderem - Vice-President and Director of the Wireless Communication Research Labs at Intel Title: Innovation for Future Connected Compute Abstract: Internet of Things (IOT) is a rapidly growing market that is being targeted by many companies world-wide to address significant local or global challenges. The projections for growth in this area are for up to 50 billion devices connected to the internet by 2020. Further trends in this market point to an exciting opportunity to truly pursue pervasive computing where energy efficient connected devices is one of, if not the most important, technology needed.
9:50 - 10:20	Coffee Break
10:20 - 12:00	Session 1A: Novel Technologies & Resilience Design Session Chairs: Swaroop Ghosh (University of South Florida) and Tsung-Te Liu (National Taiwan University)	Session 1B: Managing Energy in Wearable Devices Session Chairs: Amin Khajeh (Broadcom) and Jishen Zhao (UC Santa Cruz)
	Design and Implementation of a 4Kb STT-MRAM with Innovative 200nm Nano-Ring Shaped MTJ Best Paper Candidate Zheng Li1, Xiuyuan Bi1, Hai (Helen) Li1, Yiran Chen1, Jianying Qin2, Peng Guo2, Wenjie Kong2, Wenshan Zhan2, Xiufeng Han2, Hong Zhang3, Lingling Wang3 and Hanming Wu3 1University of Pittsburgh 2Chinese Academy of Sciences 3Semiconductor Manufacturing International Corporation	TeleProbe: Zero-Power Contactless Probing for Implantable Medical Devices Best Paper Candidate Woo Suk Lee, Younghyun Kim and Vijay Raghunathan Purdue University
	Ferroelectric Transistor based Non-Volatile Flip-Flop Danni Wang1, Sumitha George1, Ahmedullah Aziz1, Suman Datta2, Vijaykrishnan Narayanan1 and Sumeet K. Gupta1 1Pennsylvania State University 2University of Notre Dame	SocialHBC: Social Networking and Secure Authentication Using Interference-Robust Human Body Communication Shreyas Sen Purdue University
	Low Area, Low Power, Robust, Highly Sensitive Error Detecting Latch for Resilient Architectures Weizhe Hua, Ramy N. Tadros and Peter A. Beerel University of Southern California	A Li-Ion Battery Charge Protocol with Optimal Aging-Quality of Service Trade-off Yukai Chen, Alberto Bocca, Alberto Macii, Enrico Macii and Massimo Poncino Politecnico di Torino
	Comprehensive Analysis, Modeling and Design for Hold-Timing Resiliency in Voltage Scalable Design Huanyu Wang, Geng Xie and Jie Gu Northwestern University	An Energy-Efficient Computational Model for Uncertainty Management in Dynamically Changing Networked Wearables Ramyar Saeedi, Ramin Fallahzadeh, Parastoo Alinia and Hassan Ghasemzadeh Washington State University
12:00-13:30	Lunch
13:30-14:45	Session 2A: Accelerators for Machine Learning Session Chairs: Rangharajan Venkatesan (NVIDIA) and Wei Wu (Intel)	Session 2B: Design Methodology for 3D IC Session Chairs: Liangzhen Lai (ARM) and Matthew Ziegler (IBM)
	Energy-Efficient Adaptive Classifier Design for Mobile Systems Zafar Takhirov, Joseph Wang, Venkatesh Saligrama and Ajay Joshi Boston University	Four-Tier Monolithic 3D ICs: Tier Partitioning Methodology and Power Benefit Study Kwang Min Kim1, Saurabh Sinha2, Brian Cline2, Greg Yeric2 and Sung Kyu Lim1 1Georgia Institute of Technology 2ARM
	Speeding Up Convolutional Neural Network Training with Dynamic Precision Scaling and Flexible Multiplier-Accumulator Taesik Na and Saibal Mukhopadhyay Georgia Institute of Technology	Physical Design Solutions to Tackle FEOL/BEOL Degradation in Gate-Level Monolithic 3D ICs Bon Woong Ku1, Peter Debacker2, Dragomir Milojevic2, Praveen Raghavan2, Diederik Verkest2, Aaron Thean2 and Sung Kyu Lim1 1Georgia Institute of Technology 2IMEC
	A Robust and Energy-Efficient Classifier Using Brain-Inspired Hyperdimensional Computing Abbas Rahimi, Pentti Kanerva and Jan M. Rabaey UC Berkeley	Voltage Noise Induced DRAM Soft Error Reduction Technique for 3D-CPUs Tiantao Lu, Caleb Serafy, Zhiyuan Yang and Ankur Srivastava University of Maryland
14:45-15:15	Break
15:15-16:30	Session 3A: Novel Circuit Design for Energy Efficiency Session Chairs: Jaydeep P. Kulkarni (Intel) and Jae-sun Seo (Arizona State University)	Session 3B: Energy Optimization for Emerging Applications Session Chairs: Yiran Chen (University of Pittsburgh) and Cong Xu (HP Lab)
	Modeling and Implementation of a Fully-Digital Integrated Per-Core Voltage Regulation System in a 28nm High Performance 64-Bit Processor Ravinder Rachala, Miguel Rodriguez, Stephen Kosonocky and Milos Trajkovic AMD	SATS: An Ultra-low Power Time Synchronization for Solar Energy Harvesting WSNs Tongda Wu1, Yongpan Liu1, Hehe Li1, Chun Jason Xue2, Hyung Gyu Lee3 and Huazhong Yang1 1Tsinghua University 2City University of Hong Kong 3Daegu University
	Regenerative Breaking: Recovering Stored Energy from Inactive Voltage Domains for Energy-Efficient Systems-on-Chip Ali Najafi, Jacques C. Rudell and Visvesh Sathe University of Washington	DeLight: Adding Energy Dimension to Deep Neural Networks Bita Darvish Rouhani1, Azalia Mirhoseini2 and Farinaz Koushanfar1 1UC San Diego 2Rice University
	Analysis and Design of Energy Efficient Time Domain Signal Processing Zhengyu Chen and Jie Gu Northwestern University	A Light-Powered, "Always On", Smart Camera with Compressed Domain Gesture Detection Anvesha A, Shaojie Xu, Ningyuan Cao, Justin Romberg and Arijit Raychowdhury Georgia Institute of Technology
16:40-18:00	Panel Session: Where are the EDA tools for (ultra) low voltage IC design? Arvind Vel, Ansys Ed Grochowski, Intel Mike Noonen, Silego Technologies Paul Cunningham, Cadence Stephen Kosonocky, AMD Organizer: Chris Nicol, Wave Computing, Barry Pangrle
18:00-20:00	Industry Reception - Light Hors d'oeurve and Cocktail Reception
Tuesday, August 9, 2016
8:30-9:30	Keynote 2: Rob Aitken - ARM Fellow Title: Coordinating Communication, Technology and Design in the IOT Era Abstract: Traditionally, low power design has focused on hardware building lower power circuits, communication networks, and memories. As we move into the Internet of Things era, however, its becoming clear that low power solutions must encompass hardware and software to deliver system-level optimization. While such solutions sound desirable and simple in theory, their practical implementation is complicated. This talk looks at some of the issues involved and explores promising avenues for future innovation.
9:30-10:00	Coffee Break
10:00-11:40	Session 4A: Hardware Security Session Chairs: Jie Gu (Northwestern University) and Carlos Tokunaga (Intel)	Session 4B - Invited Talks: Heterogeneous Computing in Data Centers for Energy Efficiency Session Chair: Jason Cong (UC Los Angeles)
	Soft Response Generation and Thresholding Strategies for Linear and Feed-Forward MUX PUFs Best Paper Award! Chen Zhou, Saroj Satapathy, Yingjie Lao, Keshab K. Parhi and Chris H. Kim University of Minnesota	Invited Talk: Extending the Moore's Law by Exploring New Data Center Architecture Ouyang Jian Baidu
	Exploiting Fully Integrated Inductive Voltage Regulators to Improve Side Channel Resistance of Encryption Engines Monodeep Kar1, Arvind Singh1, Sanu Mathew2, Anand Rajan2, Vivek De2 and Saibal Mukhopadhyay1 1Georgia Institute of Technology 2Intel Labs	Invited Talk: Heterogeneous Computing and Infrastructure for Energy Efficiency in Microsoft Data Centers Derek Chiou Microsoft
	Performance Impact of Magnetic and Thermal Attack on STTRAM and Low-Overhead Mitigation Techniques Jae-Won Jang and Swaroop Ghosh University of South Florida	Invited Talk: Dissecting Xeon + FPGA: Why the integration of CPUs and FPGAs makes a power difference for the datacenter Herman Schmit Intel
	An Energy-Efficient PUF Design: Computing While Racing Hongxiang Gu, Teng Xu and Miodrag Potkonjak UC Los Angeles	Invited Talk: Software Infrastructure for Enabling FPGA-based Accelerations in Data Centers Peichen Pan Falcon Computing Solutions
11:40-12:40	Lunch
12:40-14:00	Session 5A: Architectures for Approximate Computing Session Chairs: Xi Chen (Huawei) and Sri Parameswaran (University of New South Wales)	Session 5B: Low Power Design Methodologies Session Chairs: Amr Fahim (Intel)
	On Effective and Efficient Quality Management for Approximate Computing Ting Wang1, Qian Zhang1, Nam Sung Kim2 and Qiang Xu1 1The Chinese University of Hong Kong 2UI Urbana-Champaign	Unified Power Frequency Model Framework (Industry Perspectives) Sriram Sundaram, Warren He, Sriram Sambamurthy, Aaron Grenat, Steve Liepe and Samuel Naffziger AMD
	ACAM: Approximate Computing based on Adaptive Associative Memory with Online Learning Mohsen Imani1, Yeseong Kim1, Abbas Rahimi2 and Tajana Rosing1 1UC San Diego 2UC Berkeley	Scalable Auto-Tuning of Synthesis Parameters for Optimizing High-Performance Processors Matthew M. Ziegler1, Hung-Yi Liu2 and Luca P. Carloni2 1IBM 2Columbia University
	Dynamic Approximation with Feedback Control for Energy-Efficient Recurrent Neural Network Hardware Jaeha Kung, Duckhwan Kim and Saibal Mukhopadhyay Georgia Institute of Technology	Invited Paper: Overview of IEEE1801-2015: Standard for Design and Verification of Low-Power, Energy-Aware Electronics Systems Sushma Honnavara Prasad Google
14:00-14:20	Coffee Break
14:20-16:00	Session 6A: Low-power Designs for Sensing and Media Session Chairs: Barry Pangrle and John Sampson (Pennsylvania State University)	Session 6B: Dynamic Power and Thermal Management Session Chairs: Parth Malani (Facebook) and Anand Raghunathan (Purdue University)
	Data-Driven Low-Cost On-Chip Memory with Adaptive Power-Quality Trade-off for Mobile Video Streaming Best Paper Candidate Dongliang Chen, Jonathon Edstrom, Xiaowei Chen, Wei Jin, Jinhui Wang and Na Gong North Dakota State University	DynSleep: Fine-Grained Power Management for a Latency-Critical Data Center Application Chih-Hsun Chou, Daniel Wong and Laxmi N. Bhuyan UC Riverside
	An Energy-Aware Approach to Noise-Robust Moving Object Detection for Low-Power Wireless Image Sensor Platforms Best Paper Award! Jong Hwan Ko and Saibal Mukhopadhyay Georgia Institute of Technology	HiCAP: Hierarchical FSM-based Dynamic Integrated CPU-GPU Frequency Capping Governor for Energy-Efficient Mobile Gaming Jurn-Gyu Park1, Nikil Dutt1, Hoyeonjiki Kim2 and Sung-Soo Lim2 1UC Irvine 2Kookmin University
	Bit Serializing a Microprocessor for Ultra-Low-Power Matthew Tomei, Henry Duwe, Nam Sung Kim and Rakesh Kumar University of Illinois	Prediction-Guided Performance-Energy Trade-off with Continuous Run-Time Adaptation Taejoon Song1, Daniel Lo2 and G. Edward Suh1 1Cornell University 2Microsoft
	A Programmable Analog-to-Information Converter for Agile Biosensing Aosen Wang1, Zhangpeng Jin2 and Wenyao Xu1 1University at Buffalo 2Binghamton University	Therma: Thermal-Aware Run-Time Thread Migration for Nanophotonic Interconnects Majed Valad Beigi and Gokhan Memik Northwestern University
16:00-17:30	Poster Session:
	Normally-OFF STT-MRAM Cache with Zero-Byte Compression for Energy Efficient Last-Level Caches Fabian Oboril1, Fazal Hameed1, Rajendra Bishnoi1, Ali Ahari1, Helia Naeimi2 and Mehdi Tahoori1 1Karlsruhe Institute of Technology 2Intel
	Benchmarking of Monolayer and Bilayer Two-Dimensional Transition Metal Dichalcogenide (TMD) based Logic Circuits and 6T SRAM Cells Chang-Hung Yu, Pin Su and Ching-Te Chuang National Chiao Tung University
	T-DVS: Temperature-Aware DVS based on Temperature Inversion Phenomenon Jinsoo Park and Hojung Cha Yonsei University
	Enhancing DRAM Self-Refresh for Idle Power Reduction Byoungchan Oh, Nilmini Abeyratne, Jeongseob Ahn, Ronald G. Dreslinski and Trevor Mudge University of Michigan
	FVCAG: A Framework for Formal Verification Driven Power Modeling and Verification Arun Joseph, Spandana Rachamalla, Rahul M Rao, Anand Haridass and Pradeep K Nalla IBM
	STOCK: Stochastic Checkers for Low-Overhead Approximate Error Detection Neel Gala1, Swagath Venkataramani2, Anand Raghunathan2 and V. Kamakoti1 1Indian Institute of Technology Madras 2Purdue University
	Maximizing Energy Efficiency in NTC by Variation-Aware Microprocessor Pipeline Optimization Anteneh Gebregiorgis, Mohammad Saber Golanbari, Saman Kiamehr, Fabian Oboril and Mehdi B. Tahoori Karlsruhe Institute of Technology
	A 386uW, 15.2-Bit Programmable-Gain Embedded Delta-Sigma ADC for Sensor Applications Jaehoon Jun, Cyuyeol Rhee and Suhwan Kim Seoul National University
	Measurement-Driven Methodology for Evaluating Processor Heterogeneity Options for Power-Performance Efficiency William J. Song1, Alper Buyuktosunoglu2, Chen-Yong Cher2 and Pradip Bose2 1Georgia Institute of Technology 2IBM
	A Thermal-Aware Physical Space Allocation Strategy for 3D Flash Memory Storage Systems Yi Wang, Mingxu Zhang, Lisha Dong and Xuan Yang Shenzhen University
	OS-based Resource Accounting for Asynchronous Resource Use in Mobile Systems Farshad Ghanei, Pranav Tipnis, Kyle Marcus, Karthik Dantu, Steve Ko and Lukasz Ziarek University at Buffalo
	Dynamic Voltage Scaling Using Scene Change Detection for Video Playback on Mobile AMOLED Displays Byung-Hoon Lee and Young-Jin Kim Ajou University
	Can We Guarantee Performance Requirements under Workload and Process Variations? Dimitrios Stamoulis and Diana Marculescu Carnegie Mellon University
	A Low Power Current-Mode Flash ADC with Spin Hall Effect based Multi-Threshold Comparator Zhezhi He and Deliang Fan University of Central Florida
	How to Cope with Slow Transistors in the Top-Tier of Monolithic 3D ICs: Design Studies and CAD Solutions Sandeep Kumar Samal1, Deepak Nayak2, Motoi Ichihashi2, Srinivasa Banna2 and Sung Kyu Lim1 1Georgia Institute of Technology 2GLOBALFOUNDRIES
	Energy-Efficient CNN Implementation on a Deeply Pipelined FPGA Cluster Chen Zhang1, Di Wu2, Jiayu Sun1, Guangyu Sun13, Guojie Luo13 and Jason Cong123 1Peking University 2UC Los Angeles 3PKU/UCLA Joint Research Institute in Science and Engineering
17:30-	Banquet - Sunset Dinner Cruise on the San Francisco Bay
Wednesday, August 10, 2016
9:00-10:00	Keynote 3: Goutam Chattopadhyay - Senior Research Scientist at NASA Jet Propulsion Lab Title: Terahertz Technology and its Applications: Is it All Hype? Abstract: In recent years, terahertz has caught the imagination of the researchers and scientists. Is it all hype? That is the question we will try to address in this talk.
10:00-10:30	Coffee Break
10:30-12:10	Session 7A: Non-Volatile Memory: Technology & System Session Chairs: Yongpan Liu (Tsinghua University) and Saibal Mukhopadhyay (Georgia Institute of Technology)	Session 7B: Energy-Efficient Parallel Processing Session Chairs: Kathy Wilcox (AMD) and Daniel Wong (UC Riverside)
	Domain Wall Memory based Convolutional Neural Networks for Bit-Width Extendability and Energy-Efficiency Jinil Chung1, Jongsun Park1 and Swaroop Ghosh2 1Korea university 2University of South Florida	Reducing Power Consumption of GPGPUs through Instruction Reordering Homa Aghilinasab1, Mohammad Sadrosadati1, Mohammad Hossein Samavatian1 and Hamid Sarbazi-Azad12 1Sharif University of Technology 2Institute for Research in Fundamental Sciences
	Design and Implementation of Nonvolatile Power-Gating SRAM Using SOTB Technology Yusuke Shuto, Shuu'ichirou Yamamoto and Satoshi Sugahara Tokyo Institute of Technology	A Fully Parameterizable Low Power Design of Vector Fused Multiply-Add Using Active Clock-Gating Techniques Ivan Ratkovic12, Oscar Palomar12, Milan Stanic12, Osman Unsal1, Adrian Cristal123 and Mateo Valero12 1Barcelona Supercomputing Center 2Polytechnic University of Catalonia 3Centro Superior de Investigaciones Cientificas
	An Efficient Parallel Scheduling Scheme on Multi-Partition PCM Architecture Wen Zhou, Dan Feng, Yu Hua, Jingning Liu, Fangting Huang and Yu Chen Huazhong University of Science and Technology	Power-Aware Performance Adaptation of Concurrent Applications in Heterogeneous Many-Core Systems Ali Aalsaud1, Rishad Shafik1, Ashur Rafiev1, Fie Xia1, Sheng Yang2 and Alex Yakovlev1 1Newcastle University 2University of Southampton
	In-Place Repair for Resistive Memories Utilizing Complementary Resistive Switches Amirali Ghofrani, Miguel Angel Lastras-Montano, Yuyang Wang and Kwang-Ting Cheng UC Santa Barbara	Design Contest Winner: A 128-Channel Spike Sorting Processor Featuring 0.175 W and 0.0033 mm2 per Channel in 65-nm CMOS Seyed Mohammad Ali Zeinolabedin, Anh Tuan Do, Dongsuk Jeon, Dennis Sylvester, Tony Tae-Hyoung Kim University of Michigan
12:10-12:20	Closing Remarks
12:20-13:30	Lunch
13:30-16:00	Embedded Tutorial: Ambient Energy Harvesting Nonvolatile Sensor Platform for Internet of Things: From Circuit to System: Organizer: Yongpan Liu, Tsinghua University and Jason Xue, City University of Hong Kong Internet of things are regarded as a very promising market in the next decade. However, batteries have become as a critical obstacle due to their limited operating time and frequent maintenance. Energy harvesting techniques are proposed to relieve those problems and self-powered sensor nodes are attracting more and more attentions. A typical self-powered sensor node consists of power supply system and computation system and harvesting energy from ambient power sources, such as solar, vibration, temperature difference and RF energy. Several major design challenges exist in the present self-powered sensor nodes: 1) Limited output power: The typical generated power ranges from several mW to hundreds of uW, leading to a gap of several orders of magnitude between the harvested energy and the consumption of mainstream low power chips. 2) Frequent power failures: Lots of power failures occur frequently in self-powered systems, requiring efficient operations in an energy intermittent mode. 3) Hard to predict: The power profiles are determined by the ambient factors and hard to be predicted. This tutorial will provide several state-of-the-art techniques from circuit levels to system levels to handle above challenges, including nonvolatile processor design, architecture exploration of energy harvesting processor architecture and software and system optimization techniques for energy harvesting sensor platform.
	Talk 1: Introduction to Energy Harvsting Sensing Platform and Nonvolatile Processor Yongpan Liu Tsinghua University
	Talk 2: Architecture Exploration for Ambient Energy Harvesting Nonvolatile Processor John Sampson Pennsylvania State University
	Talk 3: Compiler and Software Optimization for Energy Intermittent Sensing Platform Mengying Zhao City University of Hong Kong & Shandong University