| 2023 | DmTSAR-ILP: Allocating a Unified Domain Platform for Streaming Applications. | Bruno Morais, Gunar Schirner |
| 2023 | On the Unpredictability of SPICE Simulations for Side-Channel Leakage Verification of Masked Cryptographic Circuits. | Kazuki Monta, Makoto Nagata, Josep Balasch, Ingrid Verbauwhede |
| 2023 | XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing. | Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda |
| 2023 | Fault Tolerance in Time-Sensitive Networking with Mixed-Critical Traffic. | Wenhong Ma, Xiangzhen Xiao, Guoqi Xie, Nan Guan, Yu Jiang, Wanli Chang |
| 2023 | Return-to-Non-Secure Vulnerabilities on ARM Cortex-M TrustZone: Attack and Defense. | Zheyuan Ma, Xi Tan, Lukasz Ziarek, Ning Zhang, Hongxin Hu, Ziming Zhao |
| 2023 | ReRAM-based graph attention network with node-centric edge searching and hamming similarity. | Ruibin Mao, Xia Sheng, Catherine Graves, Cong Xu, Can Li |
| 2023 | Faster and Stronger Lossless Compression with Optimized Autoregressive Framework. | Yu Mao, Jingzong Li, Yufei Cui, Chun Jason Xue |
| 2023 | TFix: Exploiting the Natural Redundancy of Ternary Neural Networks for Fault Tolerant In-Memory Vector Matrix Multiplication. | Akul Malhotra, Chunguang Wang, Sumeet Kumar Gupta |
| 2023 | Processor Vulnerability Discovery. | Yongqiang Lyu, Rihui Sun, Gang Qu |
| 2023 | FLNA: An Energy-Efficient Point Cloud Feature Learning Accelerator with Dataflow Decoupling. | Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Ningyi Xu, Guanghui He |
| 2023 | An FPGA-Compatible TRNG with Ultra-High Throughput and Energy Efficiency. | Zhaojun Lu, Houjia Qidiao, Qidong Chen, Zhenglin Liu, Jiliang Zhang |
| 2023 | ML-CGRA: An Integrated Compilation Framework to Enable Efficient Machine Learning Acceleration on CGRAs. | Yixuan Luo, Cheng Tan, Nicolas Bohm Agostini, Ang Li, Antonino Tumeo, Nirav Dave, Tong Geng |
| 2023 | Rubick: A Synthesis Framework for Spatial Architectures via Dataflow Decomposition. | Zizhang Luo, Liqiang Lu, Size Zheng, Jieming Yin, Jason Cong, Jianwei Yin, Yun Liang |
| 2023 | Heterogeneous Reconfigurable Accelerators: Trends and Perspectives. | Wayne Luk |
| 2023 | ZoneKV: A Space-Efficient Key-Value Store for ZNS SSDs. | Mingchen Lu, Peiquan Jin, Xiaoliang Wang, Yongping Luo, Kuankuan Guo |
| 2023 | RL-CCD: Concurrent Clock and Data Optimization using Attention-Based Self-Supervised Reinforcement Learning. | Yi-Chen Lu, Wei-Ting Chan, Deyuan Guo, Sudipto Kundu, Vishal Khandelwal, Sung Kyu Lim |
| 2023 | Morphable CIM: Improving Operation Intensity and Depthwise Capability for SRAM-CIM Architecture. | Yun-Chen Lo, Ren-Shuo Liu |
| 2023 | Bit-Serial Cache: Exploiting Input Bit Vector Repetition to Accelerate Bit-Serial Inference. | Yun-Chen Lo, Ren-Shuo Liu |
| 2023 | Memory-Efficient and Real-Time SPAD-based dToF Depth Sensor with Spatial and Statistical Correlation. | Shiyao Li, Zhenhua Zhu, Yu Zhu, Qingpeng Zhu, Jiangwei Zhang, Wenxiu Sun, Guohao Dai, Fei Qiao, Huazhong Yang, Yu Wang |
| 2023 | NMExplorer: An Efficient Exploration Framework for DIMM-based Near-Memory Tensor Reduction. | Cong Li, Zhe Zhou, Xingchen Li, Guangyu Sun, Dimin Niu |
| 2023 | SE3: Sequential Equivalence Checking for Non-Cycle-Accurate Design Transformations | You Li, Guannan Zhao, Yunqi He, Hai Zhou |
| 2023 | Invited: Algorithm-Software-Hardware Co-Design for Deep Learning Acceleration. | Zhengang Li, Yanyue Xie, Peiyan Dong, Olivia Chen, Yanzhi Wang |
| 2023 | Orchestrated Scheduling and Partitioning for Improved Address Translation in GPUs. | Bingyao Li, Yueqi Wang, Xulong Tang |
| 2023 | Global Floorplanning via Semidefinite Programming. | Wei Li, Fangzhou Wang, Jos M. F. Moura, R. D. (Shawn) Blanton |
| 2023 | APPEND: Rethinking ASIP Synthesis in the Era of AI. | Cangyuan Li, Ying Wang, Huawei Li, Yinhe Han |