- Armin Darjani
, Nima Kavand, Akash Kumar:
Flip-Lock: A Flip-Flop-Based Logic Locking Technique for Thwarting ML-based and Algorithmic Structural Attacks. ACM Great Lakes Symposium on VLSI 2024: 185-191 - Rajesh Kumar Datta, Guangwei Zhao, Dipali Jain, Kaveh Shamsi:
On Hardware Trojan Detection using Oracle-Guided Circuit Learning. ACM Great Lakes Symposium on VLSI 2024: 198-203 - Preet Derasari, Guru Venkataramani:
EPIC: Efficient and Proactive Instruction-level Cyberdefense. ACM Great Lakes Symposium on VLSI 2024: 409-414 - 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: 292-295 - 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: 742-747 - Ruben Dominguez, José Baca, Chen Pan:
MARS: MAximizing throughput for MPPT-based self-sustaining LoRa Systems. ACM Great Lakes Symposium on VLSI 2024: 105-110 - 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: 258-262 - Tasnuva Farheen, Sourav Roy, Andrew Cannon, Jia Di, Shahin Tajik, Domenic Forte:
Amnesiac Memory: A Self-Destructive Polymorphic Mechanism Against Cold Boot Data Remanence Attack. ACM Great Lakes Symposium on VLSI 2024: 564-568 - Arash Fayyazi, Mahdi Nazemi, Arya Fayyazi, Massoud Pedram:
NeuroBlend: Towards Low-Power yet Accurate Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions. ACM Great Lakes Symposium on VLSI 2024: 730-735 - Michael Fore, Simranjit Singh, Dimitrios Stamoulis:
GeckOpt: LLM System Efficiency via Intent-Based Tool Selection. ACM Great Lakes Symposium on VLSI 2024: 353-354 - Mohamed Adel Gharib, Salma Abdelzaher, Inna Partin-Vaisband:
An Analytical Model for High-Frequency Through Silicon Vias. ACM Great Lakes Symposium on VLSI 2024: 282-286 - Hariprasadh Govindasamy, Babak Esfandiari, Paulo Garcia:
Accelerating Boolean Constraint Propagation for Efficient SAT-Solving on FPGAs. ACM Great Lakes Symposium on VLSI 2024: 305-309 - Feng Guo, Jiawei Liu, Jianwang Zhai, Jingyu Jia, Kang Zhao, Chuan Shi:
PGAU: Static IR Drop Analysis for Power Grid using Attention U-Net Architecture and Label Distribution Smoothing. ACM Great Lakes Symposium on VLSI 2024: 452-458 - Pengzhou He, Ben Mongirdas, Çetin Kaya Koç, Jiafeng Xie:
LAMP: Efficient Implementation of Lightweight Accelerator for Polynomial MultiPlication, From Falcon to RBLWE-ENC. ACM Great Lakes Symposium on VLSI 2024: 210-215 - Fang-Yu Hsu, Tzu-Chuan Lin, Wai-Kei Mak, Ting-Chi Wang:
A Bounding Box-based Net Partitioning Method for Double-sided Routing. ACM Great Lakes Symposium on VLSI 2024: 397-402 - 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: 529-532 - 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: 459-464 - Haojie Jian, Chao Chen, Zheng Wang, Pengfei Wu:
PerFT-N: Low-overhead Permanent Fault-Tolerance Mechanism for Neural Processing Units. ACM Great Lakes Symposium on VLSI 2024: 25-31 - Shaoqian Jin, Yulin Li, Liwei Chen, Gang Shi:
SSFuzz: Generating syntactic and semantic seeds for RISC-V processors. ACM Great Lakes Symposium on VLSI 2024: 421-426 - 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: 177-184 - 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: 390-396 - Uttej Kallakuri, Edward Humes, Tinoosh Mohsenin:
Resource-Aware Saliency-Guided Differentiable Pruning for Deep Neural Networks. ACM Great Lakes Symposium on VLSI 2024: 694-699 - Phani Pavan Kambhampati, Ajay B. S, Madhav Rao:
Energy Efficient Multi-Modal Stress Detection System with Dynamic Adaptive Spiking Neurons. ACM Great Lakes Symposium on VLSI 2024: 138-143 - Vedant Karia, Abdullah M. Zyarah, Dhireesha Kudithipudi:
PositCL: Compact Continual Learning with Posit Aware Quantization. ACM Great Lakes Symposium on VLSI 2024: 645-650 - Ali Karkehabadi, Houman Homayoun, Avesta Sasan:
FFCL: Forward-Forward Net with Cortical Loops, Training and Inference on Edge Without Backpropogation. ACM Great Lakes Symposium on VLSI 2024: 626-632 - Shruthi Karunakar, Meenakshi Atkade, Akash Poptani, Rajshekar Kalayappan, Sandeep Chandran:
CASH: Criticality-Aware Split Hybrid L1 Data Cache. ACM Great Lakes Symposium on VLSI 2024: 50-56 - 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: 477-482 - Sunwoong Kim, Wonhee Cho:
Accelerating Homomorphic Comparison Operations for Thresholding Using an Asymmetric Input Range and Input Scaling. ACM Great Lakes Symposium on VLSI 2024: 427-432 - Bokyung Kim, Hai Li, Yiran Chen:
Processing-in-Memory Designs Based on Emerging Technology for Efficient Machine Learning Acceleration. ACM Great Lakes Symposium on VLSI 2024: 614-619 - Sriharini Krishnakumar, Yaroslav Popryho, Inna Partin-Vaisband:
System Architecture Optimization for Vertical Power Delivery. ACM Great Lakes Symposium on VLSI 2024: 351-352
