ACM Great Lakes Symposium on VLSI

Keyphrases

Publications

2024

Mohammed Alawad, Mohammad Munzurul Islam
Sparsifying Graph Neural Networks with Compressive Sensing. ACM Great Lakes Symposium on VLSI (2024)
Yangjie Wu, Yuhan Zhu, Genggeng Liu, Xing Huang
Anomaly Detection Method based on Discrete Particle Swarm Optimization for Continuous-Flow Microfluidic Biochips. ACM Great Lakes Symposium on VLSI (2024)
Sriharini Krishnakumar, Yaroslav Popryho, Inna Partin-Vaisband
System Architecture Optimization for Vertical Power Delivery. ACM Great Lakes Symposium on VLSI (2024)
Debarshi Kundu, Archisman Ghosh, Srinivasan Ekambaram, Jian Wang, Nikolay V. Dokholyan, Swaroop Ghosh
Application of Quantum Tensor Networks for Protein Classification. ACM Great Lakes Symposium on VLSI (2024)
Ebadollah Taheri, Pooya Aghanoury, Sudeep Pasricha, Mahdi Nikdast, Nader Sehatbakhsh
SCRIPT: A Multi-Objective Routing Framework for Securing Chiplet Systems against Distributed DoS Attacks. ACM Great Lakes Symposium on VLSI (2024)
Samir Ahmed, Shakil Mahmud, Robert Karam
Modular Security Evaluation Platform for Physiological Closed-Loop Control Systems. ACM Great Lakes Symposium on VLSI (2024)
Preet Derasari, Guru Venkataramani
EPIC: Efficient and Proactive Instruction-level Cyberdefense. ACM Great Lakes Symposium on VLSI (2024)
Mohammad Mezanur Rahman Monjur, Qiaoyan Yu
Advanced Continuous-Time Convolution Framework for Security Assurance in Wireless Sensor Networks. ACM Great Lakes Symposium on VLSI (2024)
Sreenitha Kasarapu, Dipkamal Bhusal, Nidhi Rastogi, Sai Manoj Pudukotai Dinakarrao
Comprehensive Analysis of Consistency and Robustness of Machine Learning Models in Malware Detection. ACM Great Lakes Symposium on VLSI (2024)
Sabrina Hassan Moon, Dayane Reis
AFeCAM: An Energy Efficient Analog 1FeFET Content Addressable Memory. ACM Great Lakes Symposium on VLSI (2024)
Dantu Nandini Devi, Gandi Ajay Kumar, Bindu G. Gowda, Madhav Rao
Integrated MAC-based Systolic Arrays: Design and Performance Evaluation. ACM Great Lakes Symposium on VLSI (2024)
Dharanidhar Dang, Priyabrata Dash, Ahmedullah Aziz
P-ReTI: Silicon Photonic Accelerator for Greener and Real-Time AI. ACM Great Lakes Symposium on VLSI (2024)
Yuchao Liao, Tosiron Adegbija, Roman Lysecky, Ravi Tandon
Skip the Benchmark: Generating System-Level High-Level Synthesis Data using Generative Machine Learning. ACM Great Lakes Symposium on VLSI (2024)
Gaoming Du, Zhuo Chen, Zhenmin Li, Xiaolei Wang, Duoli Zhang
A Low-Latency Polynomial Multiplier Accelerator for CRYSTALS-Dilithium Digital Signature. ACM Great Lakes Symposium on VLSI (2024)
Qijing Wang, Xiaopeng Zhang, Martin D. F. Wong, Evangeline F. Y. Young
ControLayout: Conditional Diffusion for Style-Controllable and Violation-Fixable Layout Pattern Generation. ACM Great Lakes Symposium on VLSI (2024)
Christopher P. Vasquez, Travis LeCompte, Xu Yuan, Nian-Feng Tzeng, Lu Peng
Soft Error Resilience Analysis of LSTM Networks. ACM Great Lakes Symposium on VLSI (2024)
Gaines Odom, Hardhik Mohanty, Ujjwal Guin, Bhaskar Krishnamachari
Blockchain-Enabled Whitelisting Mechanisms for Enhancing Security in 3D ICs. ACM Great Lakes Symposium on VLSI (2024)
Yutong Wang, Zhaojun Ni, Siting Liu
Can Stochastic Computing Truly Tolerate Bit Flips? ACM Great Lakes Symposium on VLSI (2024)
Mohammed Alawad, Md Ishak
Probabilistic Bayesian Neural Networks for Efficient Inference. ACM Great Lakes Symposium on VLSI (2024)
Kuheli Pratihar, Soumi Chatterjee, Rajat Subhra Chakraborty, Debdeep Mukhopadhyay
Breaching the Gap: Modelling SRAM-PUFs via Side-Channel Signatures. ACM Great Lakes Symposium on VLSI (2024)
Xinyi Li, Wenjie Fan, Heng Zhang, Jinlun Ji, Tong Cheng, Shiping Li, Li Li, Yuxiang Fu
TTNNM: Thermal- and Traffic-Aware Neural Network Mapping on 3D-NoC-based Accelerator. ACM Great Lakes Symposium on VLSI (2024)
Pratyush Nandi, Anubhav Mishra, Madhav Rao
GOLDS: Genetic Algorithm-based Optimization of Custom FPGA Architecture Layout Design for Secure Silicon. ACM Great Lakes Symposium on VLSI (2024)
Vikash Sathiamoorthy, Shuo Huai, Hao Kong, Di Liu, Wendy Yong Yi Loy, Christian Makaya, Daren Ho, Ravi Subramaniam, Qian Lin, Weichen Liu
FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection. ACM Great Lakes Symposium on VLSI (2024)
Nishanth Goud Chennagouni, Mashrafi Alam Kajol, Diliang Chen, Dongpeng Xu, Qiaoyan Yu
Feature-driven Approximate Computing for Wearable Health-Monitoring Systems. ACM Great Lakes Symposium on VLSI (2024)
Junqian Huang, Yuhan Zhu, Xing Huang, Genggeng Liu
Washing Optimization Method Based on Deep Reinforcement Learning for Fully Programmable Valve Array Biochips. ACM Great Lakes Symposium on VLSI (2024)
Andrew B. Kahng, Bodhisatta Pramanik, Mingyu Woo
A Hybrid ECO Detailed Placement Flow for Improved Reduction of Dynamic IR Drop. ACM Great Lakes Symposium on VLSI (2024)
Vishnuvardhan Venkatramani Iyer, Jacob D. Rezac
Using EM Side-Channels Near a Bluetooth Server Implementation to Monitor Bit-Level Leakages in BLE Communication Channels. ACM Great Lakes Symposium on VLSI (2024)
Xinshi Zang, Qin Luo, Zhongwei Shao, Jifeng Zhang, Evangeline F. Y. Young, Martin D. F. Wong
Dynamic Multi-FPGA Prototyping Platforms with Simultaneous Networking, Placement and Routing. ACM Great Lakes Symposium on VLSI (2024)
Hariprasadh Govindasamy, Babak Esfandiari, Paulo Garcia
Accelerating Boolean Constraint Propagation for Efficient SAT-Solving on FPGAs. ACM Great Lakes Symposium on VLSI (2024)
Junhuan Yang, Yi Sheng, Yuzhou Zhang, Hanchen Wang, Youzuo Lin, Lei Yang
Enhanced AI for Science using Diffusion-based Generative AI - A Case Study on Ultrasound Computing Tomography. ACM Great Lakes Symposium on VLSI (2024)
Sunan Zou, Jiaxi Zhang, Guojie Luo
Incremental SAT-based Exact Synthesis. ACM Great Lakes Symposium on VLSI (2024)
Khushboo Qayyum, Abhoy Kole, Kamalika Datta, Muhammad Hassan, Rolf Drechsler
Exploring the Potential of Decision Diagrams for Efficient In-Memory Design Verification. ACM Great Lakes Symposium on VLSI (2024)
Andrew B. Kahng, Sayak Kundu, Shreyas Thumathy
Scalable Flip-Flop Clustering Using Divide and Conquer For Capacitated K-Means. ACM Great Lakes Symposium on VLSI (2024)
Zhixiong Di, Xufeng Wei, Yiduo Chen, Shuanglong Wu, Peihao Sun, Qiang Wu
A Remote FPGA-based Experimental Teaching System Design Supporting Single-board Multi-user and Multi-board Single-user Operations in MOOCs. ACM Great Lakes Symposium on VLSI (2024)
Bulbul Ahmed, M. Sazadur Rahman, Kimia Zamiri Azar, Farimah Farahmandi, Fahim Rahman, Mark M. Tehranipoor
SeeMLess: Security Evaluation of Logic Locking using Machine Learning oriented Estimation. ACM Great Lakes Symposium on VLSI (2024)
Prashanth H. C., Madhav Rao
Performance Analysis of OFA-NAS ResNet Topologies Across Diverse Hardware Compute Units. ACM Great Lakes Symposium on VLSI (2024)
Yunji Qin, Wenqi Lou, Chao Wang, Lei Gong, Xuehai Zhou
Enhancing Long Sequence Input Processing in FPGA-Based Transformer Accelerators through Attention Fusion. ACM Great Lakes Symposium on VLSI (2024)
Ling Yang, Zhong Zheng, Libo Huang, Run Yan, Sheng Ma, Yongwen Wang, Weixia Xu
Cost-Effective Value Predictor for ILP processors through Design Space Exploration. ACM Great Lakes Symposium on VLSI (2024)
Wendi Sun, Wenhao Sun, Yifan Wang, Yi Kang, Song Chen
Communication Minimized Model-Architecture Co-design for Efficient Convolution Acceleration. ACM Great Lakes Symposium on VLSI (2024)
Brian J. Skromme, Megan A. O'Donnell, Wendy M. Barnard
Step-by-Step Tutoring Support for Student Success in Circuit Analysis Courses. ACM Great Lakes Symposium on VLSI (2024)
Jishnu Banerjee, Sahidul Islam, Wei Wei, Chen Pan, Mimi Xie
Autotile: Autonomous Task-tiling for Deep Inference on Battery-less Embedded System. ACM Great Lakes Symposium on VLSI (2024)
Pratik Shrestha, Alec Aversa, Saran Phatharodom, Ioannis Savidis
EDA-schema: A Graph Datamodel Schema and Open Dataset for Digital Design Automation. ACM Great Lakes Symposium on VLSI (2024)
Yuqin Wang, Cheng Guo, Xiaojing Su, Xin Hong, Zixi Liu, Xiaohuan Ling, Bojie Ma, Pengyu Ren, Yujie Jiang, Yajuan Su, Yayi Wei
An Automatic Insertion Scheme of Extra Via for DSA-MP Hybrid Lithography. ACM Great Lakes Symposium on VLSI (2024)
Shan Shen, Dingcheng Yang, Yuyang Xie, Chunyan Pei, Bei Yu, Wenjian Yu
Deep-Learning-Based Pre-Layout Parasitic Capacitance Prediction on SRAM Designs. ACM Great Lakes Symposium on VLSI (2024)
Oleg Mazonka, Mohammed Nabeel Thari Moopan, Michail Maniatakos
Exploring Generalization of Shoup Modular Multiplier. ACM Great Lakes Symposium on VLSI (2024)
Olympia Axelou, Kostas Kolomvatsos, George Floros, Nestor E. Evmorfopoulos, Georg I. Georgakos, George Stamoulis
An Electromigration-Aware Wire Sizing Methodology via Particle Swarm Optimization. ACM Great Lakes Symposium on VLSI (2024)
Shamiul Alam, Ahmedullah Aziz
Ultra-Area-Efficient Cryogenic XNOR Logic Gate with Superconducting Heater Cryotron to Advance High-Performance Computing. ACM Great Lakes Symposium on VLSI (2024)
Yong-Fong Chang, Yung-Chih Chen, Yu-Chen Cheng, Shu-Hong Lin, Che-Hsu Lin, Chun-Yuan Chen, Yu-Hsuan Chen, Yu-Che Lee, Jia-Wei Lin, Hsun-Wei Pao, Shih-Chieh Chang, Yi-Ting Li, Chun-Yao Wang
IR drop Prediction Based on Machine Learning and Pattern Reduction. ACM Great Lakes Symposium on VLSI (2024)
Ke Xia, Sheng Wei
DM-TEE: Trusted Execution Environment for Disaggregated Memory. ACM Great Lakes Symposium on VLSI (2024)
Changxu Liu, Danqing Tang, Jie Song, Hao Zhou, Shoumeng Yan, Fan Yang
HMNTT: A Highly Efficient MDC-NTT Architecture for Privacy-preserving Applications. ACM Great Lakes Symposium on VLSI (2024)