ISLPED

Keyphrases

Publications

2023

Yiqi Jing, Yiyang Sun, Xiao Wang, Wentao Zhao, Meng Wu, Fengyun Yan, Yufei Ma, Le Ye, Tianyu Jia
DCIM-3DRec: A 3D Reconstruction Accelerator with Digital Computing-in-Memory and Octree-Based Scheduler. ISLPED (2023)
Zijie Chen, Yiming Gao, Junrui Liang
A Self-Powered Predictive Maintenance System Based on Piezoelectric Energy Harvesting and TinyML. ISLPED (2023)
Sandra Maria Shaji, Lingjun Zhu, Jun-Sik Yoon, Sung Kyu Lim
A Comparative Study on Front-Side, Buried and Back-Side Power Rail Topologies in 3nm Technology Node. ISLPED (2023)
Octavian Pascu, Catalin Visan, Georgian Nicolae, Mihai Boldeanu, Horia Cucu, Cristian Diaconu, Andi Buzo, Georg Pelz
Efficient Multi-Objective Optimization for PVT Variation-Aware Circuit Sizing Using Surrogate Models and Smart Corner Sampling. ISLPED (2023)
Yu-Shao Lai, Shuo-Han Chen, Yuan-Hao Chang
Enabling Highly-Efficient DNA Sequence Mapping via ReRAM-based TCAM. ISLPED (2023)
Dongho Ha, Won Woo Ro, Hung-Wei Tseng
TensorCV: Accelerating Inference-Adjacent Computation Using Tensor Processors. ISLPED (2023)
Teyuh Chou, Fernando García-Redondo, Paul N. Whatmough, Zhengya Zhang
AR-PIM: An Adaptive-Range Processing-in-Memory Architecture. ISLPED (2023)
Hyun Woo Oh, Seongmo An, Won Sik Jeong, Seung Eun Lee
RF2P: A Lightweight RISC Processor Optimized for Rapid Migration from IEEE-754 to Posit. ISLPED (2023)
Qiankai Cao, Xi Chen, Jie Gu
Development of Tropical Algebraic Accelerator with Energy Efficient Time-Domain Computing for Combinatorial Optimization and Machine Learning. ISLPED (2023)
Gamze Islamoglu, Moritz Scherer, Gianna Paulin, Tim Fischer, Victor J. B. Jung, Angelo Garofalo, Luca Benini
ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers. ISLPED (2023)
Doyeon Won, Soomin Kim, Taewhan Kim
Machine Learning Driven Synthesis of Clock Gating. ISLPED (2023)
Vahidreza Moghaddas, Hammam Kattan, Tim Bücher, Mikail Yayla, Jian-Jia Chen, Hussam Amrouch
Temperature-Aware Memory Mapping and Active Cooling of Neural Processing Units. ISLPED (2023)
Deepraj Soni, Mohammed Nabeel, Negar Neda, Ramesh Karri, Michail Maniatakos, Brandon Reagen
Quantifying the Overheads of Modular Multiplication. ISLPED (2023)
Edgar Luhulima, Madeleine Abernot, Federico Corradi, Aida Todri-Sanial
Digital Implementation of On-Chip Hebbian Learning for Oscillatory Neural Network. ISLPED (2023)
Jina Park, Kyuseung Han, Eunjin Choi, Sukho Lee, Jae-Jin Lee, Woojoo Lee, Massoud Pedram
Florian: Developing a Low-Power RISC-V Multicore Processor with a Shared Lightweight FPU. ISLPED (2023)
Chukwufumnanya Ogbogu, Madeleine Abernot, Corentin Delacour, Aida Todri-Sanial, Sudeep Pasricha, Partha Pratim Pande
Energy-Efficient Machine Learning Acceleration: From Technologies to Circuits and Systems. ISLPED (2023)
Yong-Cheng Liaw, Shuo-Han Chen, Yuan-Hao Chang, Yu-Pei Liang
Sky-NN: Enabling Efficient Neural Network Data Processing with Skyrmion Racetrack Memory. ISLPED (2023)
Jingxiao Ma, Sherief Reda
WeNet: Configurable Neural Network with Dynamic Weight-Enabling for Efficient Inference. ISLPED (2023)
Dongrui Li, Tomomasa Yamasaki, Aarthy Mani, Anh Tuan Do, Niangjun Chen, Bo Wang
LAXOR: A Bit-Accurate BNN Accelerator with Latch-XOR Logic for Local Computing. ISLPED (2023)
Kunal Bharathi, Sunil P. Khatri, Jiang Hu
Scaled Population Division for Approximate Computing. ISLPED (2023)
Khaled Sidahmed Sidahmed Alamin, Francesco Daghero, Giovanni Pollo, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco
Model-Driven Dataset Generation for Data-Driven Battery SOH Models. ISLPED (2023)
Chukwufumnanya Ogbogu, Soumen Mohapatra, Biresh Kumar Joardar, Janardhan Rao Doppa, Deuk Heo, Krishnendu Chakrabarty, Partha Pratim Pande
Energy-Efficient ReRAM-Based ML Training via Mixed Pruning and Reconfigurable ADC. ISLPED (2023)
Tsung-Yen Hsu, Yi-Shen Chen, Yun-Chih Chen, Yuan-Hao Chang, Tei-Wei Kuo
REFROM: Responsive, Energy-Efficient Frame Rendering for Mobile Devices. ISLPED (2023)
Omar Ghazal, Simranjeet Singh, Tousif Rahman, Shengqi Yu, Yujin Zheng, Domenico Balsamo, Sachin B. Patkar, Farhad Merchant, Fei Xia, Alex Yakovlev, Rishad A. Shafik
IMBUE: In-Memory Boolean-to-CUrrent Inference ArchitecturE for Tsetlin Machines. ISLPED (2023)
Gaurav Narang, Raid Ayoub, Michael Kishinevsky, Janardhan Rao Doppa, Partha Pratim Pande
Uncertainty-Aware Online Learning for Dynamic Power Management in Large Manycore Systems. ISLPED (2023)
Hyunmin Kim, Sungju Ryu
Teleport: A High-Performance ShiftNet Hardware Accelerator with Fused Layer Computation. ISLPED (2023)
Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. ISLPED (2023)
Chia-Chih Lin, Ming-Syan Chen
Learning from Output Transitions: A Chosen Challenge Strategy for ML Attacks on PUFs. ISLPED (2023)
Yujin Nam, Minxuan Zhou, Saransh Gupta, Gabrielle De Micheli, Rosario Cammarota, Chris Wilkerson, Daniele Micciancio, Tajana Rosing
Efficient Machine Learning on Encrypted Data Using Hyperdimensional Computing. ISLPED (2023)
Shien Zhu, Shuo Huai, Guochu Xiong, Weichen Liu
iMAT: Energy-Efficient In-Memory Acceleration for Ternary Neural Networks With Sparse Dot Product. ISLPED (2023)
Wenwen Xu, Zheyu Zhang, Yuankai Xu, Jing Li, Yehan Ma, Yier Jin, Christopher D. Gill, Xuan Zhang, An Zou
Energy Efficient Real-Time Scheduling on Heterogeneous Architectures with Self-Suspension. ISLPED (2023)
Kang Eun Jeon, Johnny Rhe, Hyeonsu Bang, Jong Hwan Ko
Weight-Aware Activation Mapping for Energy-Efficient Convolution on PIM Arrays. ISLPED (2023)
Dina Hussein, Taha Belkhouja, Ganapati Bhat, Janardhan Rao Doppa
Energy-Efficient Missing Data Recovery in Wearable Devices: A Novel Search-Based Approach. ISLPED (2023)
Gwanjong Park, Osama Khan, Euiseong Seo
Energy-Harvesting-Aware Adaptive Inference of Deep Neural Networks in Embedded Systems. ISLPED (2023)
Daniel Xing, Yuntao Liu, Ankur Srivastava
Low Power Logic Obfuscation Through System Level Clock Gating. ISLPED (2023)
Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii
Enabling DVFS Side-Channel Attacks for Neural Network Fingerprinting in Edge Inference Services. ISLPED (2023)
Sudipta Mondal, Ramprasath S, Ziqing Zeng, Kishor Kunal, Sachin S. Sapatnekar
A Multicore GNN Training Accelerator. ISLPED (2023)
Christian Lanius, Jie Lou, Johnson Loh, Tobias Gemmeke
Automatic Generation of Structured Macros Using Standard Cells ‒ Application to CIM. ISLPED (2023)
Christian Lanius, Florian Freye, Shutao Zhang, Tobias Gemmeke
Hardware Trojans in fdSOI. ISLPED (2023)
Nezam Rohbani, Mohammad Arman Soleimani, Hamid Sarbazi-Azad
CoolDRAM: An Energy-Efficient and Robust DRAM. ISLPED (2023)
Rakshith Saligram, Suman Datta, Arijit Raychowdhury
Cryogenic CMOS as an Enabler for Low Power Dynamic Logic. ISLPED (2023)
Yifan Zhang, Arnav Vaibhav Malawade, Xiaofang Zhang, Yuhui Li, DongHwan Seong, Mohammad Abdullah Al Faruque, Sitao Huang
CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion. ISLPED (2023)
IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2023, Vienna, Austria, August 7-8, 2023 ISLPED (2023)
Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi
Ocellus: Highly Parallel Convolution-in-Pixel Scheme Realizing Power-Delay-Efficient Edge Intelligence. ISLPED (2023)
Jung Gyu Min, Dongyun Kam, Younghoon Byun, Gunho Park, Youngjoo Lee
Energy-Efficient RISC-V-Based Vector Processor for Cache-Aware Structurally-Pruned Transformers. ISLPED (2023)
Utkarsh Saxena, Kaushik Roy
Partial-Sum Quantization for Near ADC-Less Compute-In-Memory Accelerators. ISLPED (2023)
Gourav Datta, Haoqin Deng, Robert Aviles, Zeyu Liu, Peter A. Beerel
Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency. ISLPED (2023)
Zeqing Li, Yongwei Wu, Youhui Zhang
Multi-Objective Optimization for Floating Point Mix-Precision Tuning. ISLPED (2023)
Jakang Lee, Jaeseung Lee, Seonghyeon Park, Seokhyeong Kang
Multi-Source Transfer Learning for Design Technology Co-Optimization. ISLPED (2023)
Zexi Ji, Hanrui Wang, Miaorong Wang, Win-San Khwa, Meng-Fan Chang, Song Han, Anantha P. Chandrakasan
A Fully-Integrated Energy-Scalable Transformer Accelerator Supporting Adaptive Model Configuration and Word Elimination for Language Understanding on Edge Devices. ISLPED (2023)