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ORCIDISLPED 2021: Boston, MA, USA
- IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2021, Boston, MA, USA, July 26-28, 2021. IEEE 2021, ISBN 978-1-6654-3922-0
- Matthew Mattina:
Co-Designing Hardware and Models for Efficient On-Device ML Inference. 1 - Ali Akbari, Roozbeh Jafari
:
Power-Aware Heart Rate Monitoring using Particle Filters. 1 - Diana Marculescu:
When Climate Meets Machine Learning: Edge to Cloud ML Energy Efficiency. 1 - Di Wu, Jingjie Li, Setareh Behroozi, Younghyun Kim, Joshua San Miguel:
UNO: Virtualizing and Unifying Nonlinear Operations for Emerging Neural Networks. 1-6 - Xiao Liu, Minxuan Zhou, Rachata Ausavarungnirun, Sean Eilert, Ameen Akel, Tajana Rosing, Vijaykrishnan Narayanan, Jishen Zhao:
FPRA: A Fine-grained Parallel RRAM Architecture. 1-6 - Anthony Agnesina, Moritz Brunion, Jinwoo Kim, Alberto García Ortiz, Dragomir Milojevic, Francky Catthoor, Manu Perumkunnil, Sung Kyu Lim:
Power, Performance, Area and Cost Analysis of Memory-on-Logic Face-to-Face Bonded 3D Processor Designs. 1-6 - Hyeon Gyu Lee, Juwon Lee, Minwook Kim, Donghwa Shin, Sungjin Lee, Bryan S. Kim, Eunji Lee, Sang Lyul Min:
SpartanSSD: a Reliable SSD under Capacitance Constraints. 1-6 - Yu Chen, Bowen Liu, Pierre Abillama, Hun-Seok Kim:
HTNN: Deep Learning in Heterogeneous Transform Domains with Sparse-Orthogonal Weights. 1-6 - Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin:
DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency. 1-6 - Prattay Chowdhury, Benjamin Carrión Schäfer:
BEACON: BEst Approximations for Complete BehaviOral HeterogeNeous SoCs. 1-6 - Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu:
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. 1-6 - Lingjun Zhu, Tuan Ta, Rossana Liu, Rahul Mathur, Xiaoqing Xu, Shidhartha Das, Ankit Kaul, Alejandro Rico, Doug Joseph, Brian Cline, Sung Kyu Lim:
Power Delivery and Thermal-Aware Arm-Based Multi-Tier 3D Architecture. 1-6 - Ting-Shan Lo, Chun-Feng Wu, Yuan-Hao Chang, Tei-Wei Kuo, Wei-Chen Wang:
Space-efficient Graph Data Placement to Save Energy of ReRAM Crossbar. 1-6 - Liang Yan, Mingzhe Zhang, Rujia Wang, Xiaoming Chen, Xingqi Zou, Xiaoyang Lu, Yinhe Han, Xian-He Sun:
CoPIM: A Concurrency-aware PIM Workload Offloading Architecture for Graph Applications. 1-6 - Brian Crafton, Samuel Spetalnick, Jong-Hyeok Yoon, Arijit Raychowdhury:
Statistical Optimization of Compute In-Memory Performance Under Device Variation. 1-6 - Zhiping Wang, W. Rhett Davis:
An Instruction-Level Power and Energy Model for the Rocket Chip Generator. 1-6 - Sanchari Sen, Swagath Venkataramani, Anand Raghunathan:
Efficacy of Pruning in Ultra-Low Precision DNNs. 1-6 - Haiyang Han, Theoni Alexoudi, Christos Vagionas, Nikos Pleros, Nikos Hardavellas:
Pho$: A Case for Shared Optical Cache Hierarchies. 1-6 - Arman Kazemi, Shubham Sahay, Ayush Saxena, Mohammad Mehdi Sharifi, Michael T. Niemier, X. Sharon Hu:
A Flash-Based Multi-Bit Content-Addressable Memory with Euclidean Squared Distance. 1-6 - Mohammad Mehdi Sharifi, Lillian Pentecost, Ramin Rajaei, Arman Kazemi, Qiuwen Lou, Gu-Yeon Wei, David M. Brooks, Kai Ni, X. Sharon Hu, Michael T. Niemier, Marco Donato:
Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories. 1-6 - Bo Zhang, Zeming Cheng, Massoud Pedram:
A High-Performance Low-Power Barrett Modular Multiplier for Cryptosystems. 1-6 - Toygun Basaklar, Yigit Tuncel, Sizhe An, Ümit Y. Ogras:
Wearable Devices and Low-Power Design for Smart Health Applications: Challenges and Opportunities. 1 - Tanvi Sharma, Cheng Wang, Amogh Agrawal, Kaushik Roy:
Enabling Robust SOT-MTJ Crossbars for Machine Learning using Sparsity-Aware Device-Circuit Co-design. 1-6 - Nezam Rohbani, Masoumeh Ebrahimi:
SRAM Gauge: SRAM Health Monitoring via Cells Race. 1-6 - Alessio Burrello, Alberto Dequino, Daniele Jahier Pagliari, Francesco Conti, Marcello Zanghieri, Enrico Macii, Luca Benini, Massimo Poncino:
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. 1-6 - Chen Xie, Daniele Jahier Pagliari, Andrea Calimera, Enrico Macii, Massimo Poncino:
ACME: An Energy-Efficient Approximate Bus Encoding for I2C. 1-6 - Hasan Alhasan, Yun-Chih Chen, Chien-Chung Ho:
RVO: Unleashing SSD's Parallelism by Harnessing the Unused Power. 1-6 - Zhitao Yang, Zhujiang Han, Yucong Huang, Terry Tao Ye:
55nm CMOS Analog Circuit Implementation of LIF and STDP Functions for Low-Power SNNs. 1-6 - Arman Kazemi, Mohammad Mehdi Sharifi, Zhuowen Zou, Michael T. Niemier, X. Sharon Hu, Mohsen Imani:
MIMHD: Accurate and Efficient Hyperdimensional Inference Using Multi-Bit In-Memory Computing. 1-6 - Fan Chen:
PUFFIN: An Efficient DNN Training Accelerator for Direct Feedback Alignment in FeFET. 1-6 - Philipp Kremer, Francesco Cigarini, Dietmar Göhlich, Sangyoung Park:
Active Cell Balancing for Life Cycle Extension of Lithium-Ion Batteries under Thermal Gradient. 1-6 - Ankur Limaye, Tosiron Adegbija:
DOSAGE: Generating Domain-Specific Accelerators for Resource-Constrained Computing. 1-6 - Mingui Sun, Qi Xu, Tianfeng Wang, Shitong Mao, Gusphyl A. Justin, Wenyan Jia, Zhi-Hong Mao:
Wireless Power Transfer And Data Communication For Low-Power Micro Electronic Devices Deeply Implanted Within The Human Body. 1 - Mohanad Odema, Nafiul Rashid, Mohammad Abdullah Al Faruque:
EExNAS: Early-Exit Neural Architecture Search Solutions for Low-Power Wearable Devices. 1-6 - Nuzhat Yamin, Ganapati Bhat:
Online Solar Energy Prediction for Energy-Harvesting Internet of Things Devices. 1-6 - Zhiyu Chen, Qing Jin, Jingyu Wang, Yanzhi Wang, Kaiyuan Yang:
MC2-RAM: An In-8T-SRAM Computing Macro Featuring Multi-Bit Charge-Domain Computing and ADC-Reduction Weight Encoding. 1-6 - Sonali Singh, Anup Sarma, Sen Lu, Abhronil Sengupta, Vijaykrishnan Narayanan, Chita R. Das:
Gesture-SNN: Co-optimizing accuracy, latency and energy of SNNs for neuromorphic vision sensors. 1-6 - Yigit Tuncel, Toygun Basaklar, Ümit Y. Ogras:
How Much Energy Can We Harvest Daily for Wearable Applications? 1-6
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