dblp: ISLPED 2018 (original) (raw)

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ISLPED 2018: Seattle, WA, USA

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  • Machine Learning - Inference
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    Proceedings of the International Symposium on Low Power Electronics and Design, ISLPED 2018, Seattle, WA, USA, July 23-25, 2018. ACM 2018, ISBN 978-1-4503-5704-3

Machine Learning - Inference

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    Zhiyuan Yang, Ankur Srivastava:
    Value-driven Synthesis for Neural Network ASICs. 1:1-1:6
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    Zhe Chen, Andrew Howe, Hugh T. Blair, Jason Cong:
    CLINK: Compact LSTM Inference Kernel for Energy Efficient Neurofeedback Devices. 2:1-2:6
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    Jinseok Kim, Yulhwa Kim, Sungho Kim, Jae-Joon Kim:
    Compact Convolution Mapping on Neuromorphic Hardware using Axonal Delay. 3:1-3:6
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    Liu Ke, Xin He, Xuan Zhang:
    NNest: Early-Stage Design Space Exploration Tool for Neural Network Inference Accelerators. 4:1-4:6

Hardware Security

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    Sheng Zhang, Adrian Tang, Zhewei Jiang, Simha Sethumadhavan, Mingoo Seok:
    Blacklist Core: Machine-Learning Based Dynamic Operating-Performance-Point Blacklisting for Mitigating Power-Management Security Attacks. 5:1-5:6
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    Anirudh Srikant Iyengar, Deepak Vontela, Ithihasa Reddy Nirmala, Swaroop Ghosh, Seyedhamidreza Motaman, Jae-Won Jang:
    Threshold Defined Camouflaged Gates in 65nm Technology for Reverse Engineering Protection. 6:1-6:6
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    Pramesh Pandey, Asmita Pal, Koushik Chakraborty, Sanghamitra Roy:
    Reliability and Uniformity Enhancement in 8T-SRAM based PUFs operating at NTC. 7:1-7:6
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    Hongxiang Gu, Miodrag Potkonjak:
    Efficient and Secure Group Key Management in IoT using Multistage Interconnected PUF. 8:1-8:6

Energy Efficient Wireline Circuits

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    Lejie Lu, Yong Wang, Hui Wu:
    An Energy-Efficient High-Swing PAM-4 Voltage-Mode Transmitter. 9:1-9:6
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    Jae-Whan Lee, Joo-Hyung Chae, Jihwan Park, Hyunkyu Park, Jaekwang Yun, Suhwan Kim:
    Energy-Efficient Dynamic Comparator with Active Inductor for Receiver of Memory Interfaces. 10:1-10:6
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    Jeongho Hwang, Hong-Seok Choi, Hyungrok Do, Gyu-Seob Jeong, Daehyun Koh, Seong Ho Park, Deog-Kyoon Jeong:
    4-Channel Push-Pull VCSEL Drivers for HDMI Active Optical Cable in 0.18-μm CMOS. 11:1-11:6

Approximate Computing

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    Mohsen Imani, Ricardo Garcia, Saransh Gupta, Tajana Rosing:
    RMAC: Runtime Configurable Floating Point Multiplier for Approximate Computing. 12:1-12:6
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    Sarvenaz Tajasob, Morteza Rezaalipour, Masoud Dehyadegari, Mahdi Nazm Bojnordi:
    Designing Efficient Imprecise Adders using Multi-bit Approximate Building Blocks. 13:1-13:6
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    Marzieh Vaeztourshizi, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
    An Energy-Efficient, Yet Highly-Accurate, Approximate Non-Iterative Divider. 14:1-14:6

Architectural Techniques

Machine Learning - Training

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    Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Kailash Gopalakrishnan, Leland Chang:
    Taming the beast: Programming Peta-FLOP class Deep Learning Systems. 18:1
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    Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim:
    TrainWare: A Memory Optimized Weight Update Architecture for On-Device Convolutional Neural Network Training. 19:1-19:6
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    Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang:
    AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference. 20:1-20:6
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    Gyuseong Kang, Yunho Jang, Jongsun Park:
    Spin Orbit Torque Device based Stochastic Multi-bit Synapses for On-chip STDP Learning. 21:1-21:6

Non-volatile Memory

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    Tyler Garrett, Jun Yang, Youtao Zhang:
    Enabling Intra-Plane Parallel Block Erase in NAND Flash to Alleviate the Impact of Garbage Collection. 22:1-22:6
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    Shuo-Han Chen, Yuan-Hao Chang, Tseng-Yi Chen, Yu-Ming Chang, Pei-Wen Hsiao, Hsin-Wen Wei, Wei-Kuan Shih:
    Enhancing the Energy Efficiency of Journaling File System via Exploiting Multi-Write Modes on MLC NVRAM. 23:1-23:6
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    Dayane Alfenas Reis, Michael T. Niemier, Xiaobo Sharon Hu:
    Computing in memory with FeFETs. 24:1-24:6
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    Mohammad Nasim Imtiaz Khan, Swaroop Ghosh:
    Information Leakage Attacks on Emerging Non-Volatile Memory and Countermeasures. 25:1-25:6

Energy-efficient Parallelism

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    Zhenhong Liu, Daniel Wong, Nam Sung Kim:
    Load-Triggered Warp Approximation on GPU. 26:1-26:6
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    Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing:
    GAS: A Heterogeneous Memory Architecture for Graph Processing. 27:1-27:6
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    Tahmoures Shabanian, Aatreyi Bal, Prabal Basu, Koushik Chakraborty, Sanghamitra Roy:
    ACE-GPU: Tackling Choke Point Induced Performance Bottlenecks in a Near-Threshold Computing GPU. 28:1-28:6

Self-powered Devices

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    Chih-Kai Kang, Chun-Han Lin, Pi-Cheng Hsiu, Ming-Syan Chen:
    HomeRun: HW/SW Co-Design for Program Atomicity on Self-Powered Intermittent Systems. 29:1-29:6
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    Cheng-Ting Lee, Yun-Hao Liang, Pai H. Chou, Ali Heydari Gorji, Seyede Mahya Safavi, Wen-Chan Shih, Wen-Tsuen Chen:
    EcoMicro: A Miniature Self-Powered Inertial Sensor Node Based on Bluetooth Low Energy. 30:1-30:6
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    Sandeep Krishna Thirumala, Arnab Raha, Hrishikesh Jayakumar, Kaisheng Ma, Narayanan Vijaykrishnan, Vijay Raghunathan, Sumeet Kumar Gupta:
    Dual Mode Ferroelectric Transistor based Non-Volatile Flip-Flops for Intermittently-Powered Systems. 31:1-31:6

Design and 3D Integration

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    Arijit Banerjee, Sumanth Kamineni, Benton H. Calhoun:
    Multiple Combined Write-Read Peripheral Assists in 6T FinFET SRAMs for Low-VMIN IoT and Cognitive Applications. 32:1-32:6
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    Kyungwook Chang, Sai Pentapati, Da Eun Shim, Sung Kyu Lim:
    Road to High-Performance 3D ICs: Performance Optimization Methodologies for Monolithic 3D ICs. 33:1-33:6
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    Srivatsa Rangachar Srinivasa, Akshay Krishna Ramanathan, Xueqing Li, Wei-Hao Chen, Fu-Kuo Hsueh, Chih-Chao Yang, Chang-Hong Shen, Jia-Min Shieh, Sumeet Kumar Gupta, Meng-Fan Marvin Chang, Swaroop Ghosh, Jack Sampson, Vijaykrishnan Narayanan:
    A Monolithic-3D SRAM Design with Enhanced Robustness and In-Memory Computation Support. 34:1-34:6

Industry ML/AI Compute

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    Vijayalakshmi Srinivasan, Bruce M. Fleischer, Sunil Shukla, Matthew M. Ziegler, Joel Silberman, Jinwook Oh, Jungwook Choi, Silvia M. Mueller, Ankur Agrawal, Tina Babinsky, Nianzheng Cao, Chia-Yu Chen, Pierce Chuang, Thomas W. Fox, George Gristede, Michael Guillorn, Howard Haynie, Michael J. Klaiber, Dongsoo Lee, Shih-Hsien Lo, Gary W. Maier, Michael Scheuermann, Swagath Venkataramani, Christos Vezyrtzis, Naigang Wang, Fanchieh Yee, Ching Zhou, Pong-Fei Lu, Brian W. Curran, Leland Chang, Kailash Gopalakrishnan:
    Across the Stack Opportunities for Deep Learning Acceleration. 35:1-35:2

Mobile Applications

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    Jihoon Park, Seokjun Lee, Hojung Cha:
    App-Oriented Thermal Management of Mobile Devices. 36:1-36:6
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    Zirui Xu, Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen:
    DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems. 37:1-37:6

Posters

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    Ke Xu, Yu Li, Bo Huang, Xiangkai Liu, Hong Wang, Zhuoyan Wu, Zhanpeng Yan, Xueying Tu, Tongqing Wu, Daibing Zeng:
    A Low-power 4096x2160@30fps H.265/HEVC Video Encoder for Smart Video Surveillance. 38:1-38:6
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    Mohammad Reza Mahmoodi, Dmitri B. Strukov:
    Breaking POps/J Barrier with Analog Multiplier Circuits Based on Nonvolatile Memories. 39:1-39:6
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    Jia Guo, Hongxiang Gu, Miodrag Potkonjak:
    Efficient Image Sensor Subsampling for DNN-Based Image Classification. 40:1-40:6
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    Yulhwa Kim, Hyungjun Kim, Daehyun Ahn, Jae-Joon Kim:
    Input-Splitting of Large Neural Networks for Power-Efficient Accelerator with Resistive Crossbar Memory Array. 41:1-41:6
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    Artem Aleksandrovich Andreev, Fulya Kaplan, Marina Zapater, Ayse K. Coskun, David Atienza:
    Design Optimization of 3D Multi-Processor System-on-Chip with Integrated Flow Cell Arrays. 42:1-42:6
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    Swaminathan Narayanaswamy, Sangyoung Park, Sebastian Steinhorst, Samarjit Chakraborty:
    Multi-Pattern Active Cell Balancing Architecture and Equalization Strategy for Battery Packs. 43:1-43:6
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    Ahish Shylendra, Swarup Bhunia, Amit Ranjan Trivedi:
    Intrinsic and Database-free Watermarking in ICs by Exploiting Process and Design Dependent Variability in Metal-Oxide-Metal Capacitances. 44:1-44:6
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    Sumanta Pyne:
    Scheduling of Hybrid Battery-Supercapacitor Control Instructions for Longevity in Systems with Power Gating. 45:1-45:6
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    Dongkwun Kim, Mingoo Seok:
    Better-Than-Worst-Case Design Methodology for a Compact Integrated Switched-Capacitor DC-DC Converter. 46:1-46:6
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    Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
    Dynamic Bit-width Reconfiguration for Energy-Efficient Deep Learning Hardware. 47:1-47:6
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    Mahdi Nazemi, Massoud Pedram:
    Deploying Customized Data Representation and Approximate Computing in Machine Learning Applications. 48:1-48:6
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    Donkyu Baek, Yukai Chen, Alberto Bocca, Alberto Macii, Enrico Macii, Massimo Poncino:
    Battery-Aware Energy Model of Drone Delivery Tasks. 49:1-49:6
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    Li Yang, Zhezhi He, Deliang Fan:
    A Fully Onchip Binarized Convolutional Neural Network FPGA Impelmentation with Accurate Inference. 50:1-50:6
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    Ankit Mondal, Ankur Srivastava:
    In-situ Stochastic Training of MTJ Crossbar based Neural Networks. 51:1-51:6
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    Ioannis Tsiokanos, Lev Mukhanov, Dimitrios S. Nikolopoulos, Georgios Karakonstantis:
    Variation-Aware Pipelined Cores through Path Shaping and Dynamic Cycle Adjustment: Case Study on a Floating-Point Unit. 52:1-52:6
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    Sana Arshad, Azam Beg, Rashad Ramzan:
    A 2.6 mW Single-Ended Positive Feedback LNA for 5G Applications. 53:1-53:5

Far-out Ideas

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    Louis K. Scheffer:
    Insights from Biology: Low Power Circuits in the Fruit Fly. 54:1-54:3

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