- 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: 132-137 - Satwik Kundu, Debarshi Kundu, Swaroop Ghosh:
Evaluating Efficacy of Model Stealing Attacks and Defenses on Quantum Neural Networks. ACM Great Lakes Symposium on VLSI 2024: 556-559 - Banafsheh Saber Latibari, Soheil Salehi, Houman Homayoun, Avesta Sasan:
IRET: Incremental Resolution Enhancing Transformer. ACM Great Lakes Symposium on VLSI 2024: 620-625 - Seunggyu Lee, Wonjae Lee, Youngsoo Shin:
Integrated Netlist Synthesis and In-Memory Mapping for Memristor-Aided Logic. ACM Great Lakes Symposium on VLSI 2024: 38-43 - Fabian Lesniak, Annina Gutermann, Tanja Harbaum, Jürgen Becker:
Enhanced Accelerator Design for Efficient CNN Processing with Improved Row-Stationary Dataflow. ACM Great Lakes Symposium on VLSI 2024: 151-157 - Jingzhou Li, Huaiyu Chen, Wenbin Zhang, Hu He:
HCRF: A Hardware Checkpoint-based Recovery Framework in light dual-core lockstep processors. ACM Great Lakes Symposium on VLSI 2024: 338-342 - 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: 364-369 - 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: 170-176 - Siqin Liu, Saumya Chauhan, Avinash Karanth:
SNAC: Mitigation of Snoop-Based Attacks with Multi-Tier Security in NoC Architectures. ACM Great Lakes Symposium on VLSI 2024: 560-563 - Siqin Liu, Prakash Chand Kuve, Avinash Karanth:
HSCONN: Hardware-Software Co-Optimization of Self-Attention Neural Networks for Large Language Models. ACM Great Lakes Symposium on VLSI 2024: 736-741 - Zixi Liu, Yibo Lin, Xiaojing Su, Xiaohuan Ling, Xin Hong, Bojie Ma, Yajuan Su, Yayi Wei:
Automated Lithography Resolution Enhancement with Deep Learning Enabled Layout Modification during Physical Design Stage. ACM Great Lakes Symposium on VLSI 2024: 592-598 - 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: 7-12 - Tianji Liu, Qijing Wang, Lixin Liu, Fangzhou Wang, Evangeline F. Y. Young:
On Advanced Methodologies for Microarchitecture Design Space Exploration. ACM Great Lakes Symposium on VLSI 2024: 376-382 - Zhaojun Lu, Qidong Chen, Peng Xu, Jiliang Zhang, Gang Qu:
A Cryptographic Hardware Engineering Course based on FPGA and Security Analysis Equipment. ACM Great Lakes Symposium on VLSI 2024: 706-711 - Joseph Madera, Kyle Juretus:
Boolean Domain Attack on Corrupt and Correct Based Logic Locking Techniques. ACM Great Lakes Symposium on VLSI 2024: 415-420 - Suraj Mandal, Debapriya Basu Roy:
Design of a Lightweight Fast Fourier Transformation for FALCON using Hardware-Software Co-Design. ACM Great Lakes Symposium on VLSI 2024: 228-232 - Soumyashree Mangaraj, Jaganath Prasad Mohanty, Samit Ari, Ayas Kanta Swain, Kamalakanta Mahapatra:
PACAC: PYNQ Accelerated Cardiac Arrhythmia Classifier with secure transmission- A Deep Learning based Approach. ACM Great Lakes Symposium on VLSI 2024: 670-675 - Oleg Mazonka, Mohammed Nabeel Thari Moopan, Michail Maniatakos:
Exploring Generalization of Shoup Modular Multiplier. ACM Great Lakes Symposium on VLSI 2024: 222-227 - Samit Shahnawaz Miftah, Amisha Srivastava, Hyunmin Kim, Kanad Basu:
Assert-O: Context-based Assertion Optimization using LLMs. ACM Great Lakes Symposium on VLSI 2024: 233-239 - Alakananda Mitra, Saraju P. Mohanty, Elias Kougianos:
ToEFL: A Novel Approach for Training on Edge in Smart Agriculture. ACM Great Lakes Symposium on VLSI 2024: 657-662 - Sajeed Mohammad, Farimah Farahmandi:
DyFORA: Dynamic Firmware Obfuscation and Remote Attestation using Hardware Signatures. ACM Great Lakes Symposium on VLSI 2024: 471-476 - 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: 319-322 - Sabrina Hassan Moon, Dayane Reis:
AFeCAM: An Energy Efficient Analog 1FeFET Content Addressable Memory. ACM Great Lakes Symposium on VLSI 2024: 541-545 - Deniz Najafi, Sepehr Tabrizchi, Ranyang Zhou, Mohammadreza Amel Solouki, Andrew Marshall, Arman Roohi, Shaahin Angizi:
Hybrid Magneto-electric FET-CMOS Integrated Memory Design for Instant-on Computing. ACM Great Lakes Symposium on VLSI 2024: 770-775 - 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: 92-97 - Yang Ni, William Youngwoo Chung, Samuel Cho, Zhuowen Zou, Mohsen Imani:
Efficient Exploration in Edge-Friendly Hyperdimensional Reinforcement Learning. ACM Great Lakes Symposium on VLSI 2024: 111-118 - 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: 483-488 - Pawan Oraon, Soumyashree Mangaraj, Ayas Kanta Swain, Kamalakanta Mahapatra:
Hardware Accelerated Quantized Hand Written Digit Recognition via High Level Synthesis. ACM Great Lakes Symposium on VLSI 2024: 688-693 - Sudipta Paria, Aritra Dasgupta, Swarup Bhunia:
Navigating SoC Security Landscape on LLM-Guided Paths. ACM Great Lakes Symposium on VLSI 2024: 252-257 - Surya Penmetsa, Fahad Rahman Amik, Zhanguang Zhang, Yingying Fu, Yingxue Zhang, Wulong Liu, Jianye Hao:
Generalizable and Relation Sensitive Netlist Representation for Analog Circuit Design. ACM Great Lakes Symposium on VLSI 2024: 287-291
