| 2022 | Optimization of Quantum Read-Only Memory Circuits. | Koustubh Phalak, Mahabubul Alam, Abdullah Ash-Saki, Rasit Onur Topaloglu, Swaroop Ghosh |
| 2022 | Towards Sparsification of Graph Neural Networks. | Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding |
| 2022 | Optimizing ML Classification Models for Constrained EDA Resource Budgets. | Ganapathy Parthasarathy, Bhuvnesh Kumar, Saurav Nanda, Parivesh Choudhary, Sridhar Rajakumar |
| 2022 | Analysis and Mitigation of Data Sanitization Overhead in DAX File Systems. | Soyoung Park, Jongseok Kim, Younghoon Lim, Euiseong Seo |
| 2022 | CPR: Crossbar-grain Pruning for an RRAM-based Accelerator with Coordinate-based Weight Mapping. | Jihye Park, Seokhyeong Kang |
| 2022 | LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training. | Seock-Hwan Noh, Junsang Park, Dahoon Park, Jahyun Koo, Jeik Choi, Jaeha Kung |
| 2022 | A Highly-Efficient Error Detection Technique for General Matrix Multiplication using Tiled Processing on SIMD Architecture. | Chandra Sekhar Mummidi, Sandeep Bal, Brunno F. Goldstein, Sudarshan Srinivasan, Sandip Kundu |
| 2022 | Secure Access Policy (SAP): Invisibly Executing Speculative Unsafe Accesses in an Isolated Environment. | Xiaoni Meng, Qiusong Yang, Yiwei Ci, Pei Zhao, Shan Zhao, Tianlin Huo, Mingshu Li |
| 2022 | A Black-Box Sensitization Attack on SAT-Hard Instances in Logic Obfuscation. | Isaac McDaniel, Michael Zuzak, Ankur Srivastava |
| 2022 | TermiNETor: Early Convolution Termination for Efficient Deep Neural Networks. | Uday Mallappa, Pranav Gangwar, Behnam Khaleghi, Haichao Yang, Tajana Rosing |
| 2022 | Log-ROC: Log Structured RAID on Open-Channel SSD. | Teng Ma, Zhitao Li, Ning Liu |
| 2022 | Trojan Resilience in Implantable and Wearable Medical Devices with Virtual Biosensing. | Shakil Mahmud, Farhath Zareen, Brooks Olney, Mateus Augusto Fernandes Amador, Robert Karam |
| 2022 | VSA: A Hybrid Vector-Systolic Architecture. | Mateo Vzquez Maceiras, Muhammad Waqar Azhar, Pedro Trancoso |
| 2022 | GCNTrain: A Unified and Efficient Accelerator for Graph Convolutional Neural Network Training. | Heng Lu, Zhuoran Song, Xing Li, Naifeng Jing, Xiaoyao Liang |
| 2022 | CoDG-ReRAM: An Algorithm-Hardware Co-design to Accelerate Semi-Structured GNNs on ReRAM. | Yixuan Luo, Payman Behnam, Kiran Thorat, Zhuo Liu, Hongwu Peng, Shaoyi Huang, Shu Zhou, Omer Khan, Alexey Tumanov, Caiwen Ding, Tong Geng |
| 2022 | Design and Analysis of a Scalable and Efficient Quantum Circuit for LWE Matrix Arithmetic. | Chao Lu, Utsav Banerjee, Kanad Basu |
| 2022 | Accelerating the Training of Single Layer Binary Neural Networks using the HHL Quantum Algorithm. | Sonia Lopez Alarcon, Cory E. Merkel, Martin Hoffnagle, Sabrina Ly, Alejandro Pozas-Kerstjens |
| 2022 | Randomize and Match: Exploiting Irregular Sparsity for Energy Efficient Processing in SNNs. | Fangxin Liu, Zongwu Wang, Wenbo Zhao, Yongbiao Chen, Tao Yang, Xiaokang Yang, Li Jiang |
| 2022 | VEA: An FPGA-Based Voxel Encoding Accelerator for 3D Object Detection with LiDAR. | Xin Li, Ao Ren, Yujuan Tan, Xusheng Li, Zhetong Huang, Chengliang Wang, Xianzhang Chen, Duo Liu |
| 2022 | HL-DNA: A Hybrid Lossy/Lossless Encoding Scheme to Enhance DNA Storage Density and Robustness for Images. | Yi Li, David H. C. Du, Li Ou, Bingzhe Li |
| 2022 | FedNorm: An Efficient Federated Learning Framework with Dual Heterogeneity Coexistence on Edge Intelligence Systems. | Zirui Lian, Weihong Liu, Jing Cao, Zongwei Zhu, Xuehai Zhou |
| 2022 | Tunable Memory Protection for Secure Neural Processing Units. | Sunho Lee, Seonjin Na, Jungwoo Kim, Jongse Park, Jaehyuk Huh |
| 2022 | Accurate Prediction of ReRAM Crossbar Performance Under I-V Nonlinearity and IR Drop. | Sugil Lee, Mohammed E. Fouda, Jongeun Lee, Ahmed M. Eltawil, Fadi J. Kurdahi |
| 2022 | SoftFusion: A Low-Cost Approach to Enhance Reliability of Object Detection Applications. | Salar Latifi, Babak Zamirai, Scott A. Mahlke |
| 2022 | Do Not Forget: Exploiting Stability-Plasticity Dilemma to Expedite Unsupervised SNN Training for Neuromorphic Processors. | Myeongjin Kwak, Yongtae Kim |