| 2023 | (Invited) Predictive analytics for cryogenic CMOS in future quantum computing systems. Rajiv V. Joshi, Sudipto Chakraborty |
| 2023 | 60th ACM/IEEE Design Automation Conference, DAC 2023, San Francisco, CA, USA, July 9-13, 2023 |
| 2023 | A Comprehensive Automated Exploration Framework for Systolic Array Designs. Suhail Basalama, Jie Wang, Jason Cong |
| 2023 | A Convolution Neural Network Accelerator Design with Weight Mapping and Pipeline Optimization. Lixia Han, Peng Huang, Zheng Zhou, Yiyang Chen, Xiaoyan Liu, Jinfeng Kang |
| 2023 | A Database Dependent Framework for K-Input Maximum Fanout-Free Window Rewriting. Xuliang Zhu, Ruofei Tang, Lei Chen, Xing Li, Xin Huang, Mingxuan Yuan, Weihua Sheng, Jianliang Xu |
| 2023 | A Fast Secure Deletion Strategy for High-Density Flash Memory through WOM-v Codes. Jinhua Cui, Kai Tang, Laurence T. Yang |
| 2023 | A High-accurate Multi-objective Exploration Framework for Design Space of CPU. Duo Wang, Mingyu Yan, Xin Liu, Mo Zou, Tianyu Liu, Wenming Li, Xiaochun Ye, Dongrui Fan |
| 2023 | A Matching Based Escape Routing Algorithm with Variable Design Rules and Constraints. Qinghai Liu, Disi Lin, Chuandong Chen, Huan He, Jianli Chen, Yao-Wen Chang |
| 2023 | A Memory-Efficient Edge Inference Accelerator with XOR-based Model Compression. Hyunseung Lee, Jihoon Hong, Soosung Kim, Seung Yul Lee, Jae W. Lee |
| 2023 | A Model-Specific End-to-End Design Methodology for Resource-Constrained TinyML Hardware. Yanchi Dong, Tianyu Jia, Kaixuan Du, Yiqi Jing, Qijun Wang, Pixian Zhan, Yadong Zhang, Fengyun Yan, Yufei Ma, Yun Liang, Le Ye, Ru Huang |
| 2023 | A Universal Method for Task Allocation on FP-FPS Multiprocessor Systems with Spin Locks. Shuai Zhao, Nan Chen, Yinjie Fang, Zhao Li, Wanli Chang |
| 2023 | A digital 3D TCAM accelerator for the inference phase of Random Forest. Chieh-Lin Tsai, Chun-Feng Wu, Yuan-Hao Chang, Han-Wen Hu, Yung-Chun Lee, Hsiang-Pang Li, Tei-Wei Kuo |
| 2023 | ACGraph: Accelerating Streaming Graph Processing via Dependence Hierarchy. Zihan Jiang, Fubing Mao, Yapu Guo, Xu Liu, Haikun Liu, Xiaofei Liao, Hai Jin, Wei Zhang |
| 2023 | ADAPTIVE: Agent-Based Learning for Bounding Time in Mixed-Criticality Systems. Behnaz Ranjbar, Ali Hosseinghorban, Akash Kumar |
| 2023 | AGD: A Learning-based Optimization Framework for EDA and its Application to Gate Sizing. Phuoc Pham, Jaeyong Chung |
| 2023 | ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning. Animesh Basak Chowdhury, Lilas Alrahis, Luca Collini, Johann Knechtel, Ramesh Karri, Siddharth Garg, Ozgur Sinanoglu, Benjamin Tan |
| 2023 | ANAS: Asynchronous Neuromorphic Hardware Architecture Search Based on a System-Level Simulator. Jian Zhang, Jilin Zhang, Dexuan Huo, Hong Chen |
| 2023 | APP: Enabling Soft Real-Time Execution on Densely-Populated Hybrid Memory System. Zheng-Wei Wu, Yun-Chih Chen, Yuan-Hao Chang, Tei-Wei Kuo |
| 2023 | APPEND: Rethinking ASIP Synthesis in the Era of AI. Cangyuan Li, Ying Wang, Huawei Li, Yinhe Han |
| 2023 | ASMCap: An Approximate String Matching Accelerator for Genome Sequence Analysis Based on Capacitive Content Addressable Memory. Hongtao Zhong, Zhonghao Chen, Wenqin Huangfu, Chen Wang, Yixin Xu, Tianyi Wang, Yao Yu, Yongpan Liu, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li |
| 2023 | AVX Timing Side-Channel Attacks against Address Space Layout Randomization. Hyunwoo Choi, Suryeon Kim, Seungwon Shin |
| 2023 | AccALS: Accelerating Approximate Logic Synthesis by Selection of Multiple Local Approximate Changes. Xuan Wang, Sijun Tao, Jingjing Zhu, Yiyu Shi, Weikang Qian |
| 2023 | AccShield: a New Trusted Execution Environment with Machine-Learning Accelerators. Wei Ren, William Kozlowski, Sandhya Koteshwara, Mengmei Ye, Hubertus Franke, Deming Chen |
| 2023 | Accelerating DNN Inference with Heterogeneous Multi-DPU Engines. Zelin Du, Wei Zhang, Zimeng Zhou, Zili Shao, Lei Ju |
| 2023 | Accelerating Sparse Attention with a Reconfigurable Non-volatile Processing-In-Memory Architecture. Qilin Zheng, Shiyu Li, Yitu Wang, Ziru Li, Yiran Chen, Hai Helen Li |
| 2023 | Accelerating Sparse LU Factorization with Density-Aware Adaptive Matrix Multiplication for Circuit Simulation. Tengcheng Wang, Wenhao Li, Haojie Pei, Yuying Sun, Zhou Jin, Weifeng Liu |
| 2023 | ActiWate: Adaptive and Design-agnostic Active Watermarking for IP Ownership in Modern SoCs. Zahin Ibnat, M. Sazadur Rahman, Mridha Md Mashahedur Rahman, Hadi Mardani Kamali, Mark Tehranipoor, Farimah Farahmandi |
| 2023 | AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs. Ruisi Zhang, Mojan Javaheripi, Zahra Ghodsi, Amit Bleiweiss, Farinaz Koushanfar |
| 2023 | AdaS: A Fast and Energy-Efficient CNN Accelerator Exploiting Bit-Sparsity. Xiaolong Lin, Gang Li, Zizhao Liu, Yadong Liu, Fan Zhang, Zhuoran Song, Naifeng Jing, Xiaoyao Liang |
| 2023 | Advances and Trends on On-Chip Compute-in-Memory Macros and Accelerators. Jae-sun Seo |
| 2023 | Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks. Jingkai Hong, Arash Fayyazi, Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram |
| 2023 | AmgR: Algebraic Multigrid Accelerated on ReRAM. Mingjia Fan, Xiaotian Tian, Yintao He, Junxian Li, Yiru Duan, Xiaozhe Hu, Ying Wang, Zhou Jin, Weifeng Liu |
| 2023 | An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks. Xinhao Yang, Tianyu Fu, Guohao Dai, Shulin Zeng, Kai Zhong, Ke Hong, Yu Wang |
| 2023 | An Extension to Basis-Hypervectors for Learning from Circular Data in Hyperdimensional Computing. Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau |
| 2023 | An FPGA-Compatible TRNG with Ultra-High Throughput and Energy Efficiency. Zhaojun Lu, Houjia Qidiao, Qidong Chen, Zhenglin Liu, Jiliang Zhang |
| 2023 | An Iterative Method for Mapping-Aware Frequency Regulation in Dataflow Circuits. Carmine Rizzi, Andrea Guerrieri, Lana Josipovic |
| 2023 | Any-Angle Routing for Redistribution Layers in 2.5D IC Packages. Min-Hsuan Chung, Je-Wei Chuang, Yao-Wen Chang |
| 2023 | Architecting Selective Refresh based Multi-Retention Cache for Heterogeneous System (ARMOUR). Sukarn Agarwal, Shounak Chakraborty, Magnus Själander |
| 2023 | Architecture 2.0: Challenges and Opportunities. Vijay Janapa Reddi, Amir Yazdanbakhsh |
| 2023 | AutoDCIM: An Automated Digital CIM Compiler. Jia Chen, Fengbin Tu, Kunming Shao, Fengshi Tian, Xiao Huo, Chi-Ying Tsui, Kwang-Ting Cheng |
| 2023 | Automated Design of Complex Analog Circuits with Multiagent based Reinforcement Learning. Jinxin Zhang, Jiarui Bao, Zhangcheng Huang, Xuan Zeng, Ye Lu |
| 2023 | Automatic End-to-End Joint Optimization for Kernel Compilation on DSPs. Xiaolei Zhao, Zhaoyun Chen, Yang Shi, Mei Wen, Chunyun Zhang |
| 2023 | Automating Constraint-Aware Datapath Optimization using E-Graphs. Samuel Coward, George A. Constantinides, Theo Drane |
| 2023 | BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury |
| 2023 | BLITZCRANK: Factor Graph Accelerator for Motion Planning. Yuhui Hao, Yiming Gan, Bo Yu, Qiang Liu, Shaoshan Liu, Yuhao Zhu |
| 2023 | BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication. Jingyao Zhang, Mohsen Imani, Elaheh Sadredini |
| 2023 | BWA-NIMC: Budget-based Workload Allocation for Hybrid Near/In-Memory-Computing. Chi-Tse Huang, Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Andy Wu |
| 2023 | Battle Against Fluctuating Quantum Noise: Compression-Aided Framework to Enable Robust Quantum Neural Network. Zhirui Hu, Youzuo Lin, Qiang Guan, Weiwen Jiang |
| 2023 | Bit-Serial Cache: Exploiting Input Bit Vector Repetition to Accelerate Bit-Serial Inference. Yun-Chen Lo, Ren-Shuo Liu |
| 2023 | BlueFace: Integrating an Accelerator into the Core's Pipeline through Algorithm-Interface Co-Design for Real-Time SoCs. Zhe Jiang, Nathan Fisher, Nan Guan, Zheng Dong |
| 2023 | Bumblebee: A MemCache Design for Die-stacked and Off-chip Heterogeneous Memory Systems. Yifan Hua, Shengan Zheng, Ji Yin, Weidong Chen, Linpeng Huang |
| 2023 | C Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel |
| 2023 | CHAM: A Customized Homomorphic Encryption Accelerator for Fast Matrix-Vector Product. Xuanle Ren, Zhaohui Chen, Zhen Gu, Yanheng Lu, Ruiguang Zhong, Wen-jie Lu, Jiansong Zhang, Yichi Zhang, Hanghang Wu, Xiaofu Zheng, Heng Liu, Tingqiang Chu, Cheng Hong, Changzheng Wei, Dimin Niu, Yuan Xie |
| 2023 | COSA:Co-Operative Systolic Arrays for Multi-head Attention Mechanism in Neural Network using Hybrid Data Reuse and Fusion Methodologies. Zhican Wang, Gang Wang, Honglan Jiang, Ningyi Xu, Guanghui He |
| 2023 | CPE: An Energy-Efficient Edge-Device Training with Multi-dimensional Compression Mechanism. Zhou Wang, Jingchuan Wei, Boxiao Han, Hongjun He, Leibo Liu, Shaojun Wei, Shouyi Yin |
| 2023 | CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang |
| 2023 | CUDA Quantum: The Platform for Integrated Quantum-Classical Computing. Jin-Sung Kim, Alex McCaskey, Bettina Heim, Manish Modani, Sam Stanwyck, Timothy B. Costa |
| 2023 | ChaosINTC: A Secure Interrupt Management Mechanism against Interrupt-based Attacks on TEE. Yifan Zhu, Peinan Li, Lutan Zhao, Dan Meng, Rui Hou |
| 2023 | Chiplets: How Small is too Small? Alexander Graening, Saptadeep Pal, Puneet Gupta |
| 2023 | Compact and High-Performance TCAM Based on Scaled Double-Gate FeFETs. Liu Liu, Shubham Kumar, Simon Thomann, Hussam Amrouch, Xiaobo Sharon Hu |
| 2023 | Compiler Optimization for Quantum Computing Using Reinforcement Learning. Nils Quetschlich, Lukas Burgholzer, Robert Wille |
| 2023 | Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI. Hyunsei Lee, Jiseung Kim, Hanning Chen, Ariela Zeira, Narayan Srinivasa, Mohsen Imani, Yeseong Kim |
| 2023 | Concurrent Sign-off Timing Optimization via Deep Steiner Points Refinement. Siting Liu, Ziyi Wang, Fangzhou Liu, Yibo Lin, Bei Yu, Martin D. F. Wong |
| 2023 | Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge. Yifan Gong, Pu Zhao, Zheng Zhan, Yushu Wu, Chao Wu, Zhenglun Kong, Minghai Qin, Caiwen Ding, Yanzhi Wang |
| 2023 | Contention-Free Configured Grant Scheduling for 5G URLLC Traffic. Tianyu Zhang, Xiaobo Sharon Hu, Song Han |
| 2023 | CorcPUM: Efficient Processing Using Cross-Point Memory via Cooperative Row-Column Access Pipelining and Adaptive Timing Optimization in Subarrays. Chengning Wang, Dan Feng, Wei Tong, Jingning Liu |
| 2023 | Correlation-guided Placement for Nonvolatile FPGAs. Mengying Zhao, Fanjin Xu, Huichuan Zheng, Hao Zhang, Yuqing Xiong, Zhiping Jia, Xiaojun Cai |
| 2023 | Critical Paths Prediction under Multiple Corners Based on BiLSTM Network. Qianqian Song, Xu Cheng, Peng Cao |
| 2023 | Cryogenic In-Memory Matrix-Vector Multiplication using Ferroelectric Superconducting Quantum Interference Device (FE-SQUID). Shamiul Alam, Jack Hutchins, Md. Shafayat Hossain, Kai Ni, Vijaykrishnan Narayanan, Ahmedullah Aziz |
| 2023 | DARIC: A Data Reuse-Friendly CGRA for Parallel Data Access via Elastic FIFOs. Dajiang Liu, Di Mou, Rong Zhu, Yan Zhuang, Jiaxing Shang, Jiang Zhong, Shouyi Yin |
| 2023 | DBPS: Dynamic Block Size and Precision Scaling for Efficient DNN Training Supported by RISC-V ISA Extensions. Seunghyun Lee, Jeik Choi, Seock-Hwan Noh, Jahyun Koo, Jaeha Kung |
| 2023 | DRPTM: A Decoupled Read-efficient High-scalable Persistent Transactional Memory. Wenkai Liang, Hao Hu, Xiangyu Zou, Wen Xia, Yanqi Pan |
| 2023 | DSPIMM: A Fully Digital SParse In-Memory Matrix Vector Multiplier for Communication Applications. Amitesh Sridharan, Fan Zhang, Yang Sui, Bo Yuan, Deliang Fan |
| 2023 | DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design. Ziyue Liu, Yixing Li, Jing Hu, Xinling Yu, Shinyu Shiau, Xin Ai, Zhiyu Zeng, Zheng Zhang |
| 2023 | Design Automation for Cryogenic CMOS Circuits. Victor M. van Santen, Marcel Walter, Florian Klemme, Shivendra Singh Parihar, Girish Pahwa, Yogesh Singh Chauhan, Robert Wille, Hussam Amrouch |
| 2023 | DiffPattern: Layout Pattern Generation via Discrete Diffusion. Zixiao Wang, Yunheng Shen, Wenqian Zhao, Yang Bai, Guojin Chen, Farzan Farnia, Bei Yu |
| 2023 | Discerning Limitations of GNN-based Attacks on Logic Locking. Armin Darjani, Nima Kavand, Shubham Rai, Akash Kumar |
| 2023 | Disjoint-Path and Golden-Pin Based Irregular PCB Routing with Complex Constraints. Qinghai Liu, Qinfei Tang, Jiarui Chen, Chuandong Chen, Ziran Zhu, Huan He, Jianli Chen, Yao-Wen Chang |
| 2023 | DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification. Junyao Wang, Sitao Huang, Mohsen Imani |
| 2023 | DmTSAR-ILP: Allocating a Unified Domain Platform for Streaming Applications. Bruno Morais, Gunar Schirner |
| 2023 | Don't Cross Me! Cross-layer System Security. Najmeh Nazari, Chongzhou Fang, Sai Manoj P. D., Houman Homayoun |
| 2023 | Don't-Care Aware ESOP Extraction via Reduced Decomposition-Tree Exploration. Chun-Yu Wei, Jie-Hong R. Jiang |
| 2023 | DriverJar: Lightweight Device Driver Isolation for ARM. Huamao Wu, Yuan Chen, Yajin Zhou, Yifei Wang, Lubo Zhang |
| 2023 | Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off. Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, Caiwen Ding |
| 2023 | EDGE: Efficient DAG-based Global Routing Engine. Jinwei Liu, Evangeline F. Y. Young |
| 2023 | EENet: Energy Efficient Neural Networks with Run-time Power Management. Xiangjie Li, Yingtao Shen, An Zou, Yehan Ma |
| 2023 | EP-ORAM: Efficient NVM-Friendly Path Eviction for Ring ORAM in Hybrid Memory. Mehrnoosh Raoufi, Jun Yang, Xulong Tang, Youtao Zhang |
| 2023 | EagleRec: Edge-Scale Recommendation System Acceleration with Inter-Stage Parallelism Optimization on GPUs. Yongbo Yu, Fuxun Yu, Xiang Sheng, Chenchen Liu, Xiang Chen |
| 2023 | Efficient ILT via Multi-level Lithography Simulation. Shuyuan Sun, Fan Yang, Bei Yu, Li Shang, Xuan Zeng |
| 2023 | Efficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network. Yixuan Hu, Tengyu Zhang, Meng Li, Renjie Wei, Liangzhen Lai, Yuan Wang, Runsheng Wang, Ru Huang |
| 2023 | Efficient Transformer Inference with Statically Structured Sparse Attention. Steve Dai, Hasan Genc, Rangharajan Venkatesan, Brucek Khailany |
| 2023 | Emerging Hardware Technologies and 3D System Integration for Ubiquitous Machine Intelligence. Haitong Li |
| 2023 | Emerging Trends in Multi-Accelerator and Distributed System for ML: Devices, Architectures, Tools and Applications. Muhammad Shafique |
| 2023 | Energy-Efficient On-Chip Training for Customized Home-based Rehabilitation Systems. A. Alper Goksoy, Sizhe An, Ümit Y. Ogras |
| 2023 | Equality Saturation for Datapath Synthesis: A Pathway to Pareto Optimality. Ecenur Ustun, Cunxi Yu, Zhiru Zhang |
| 2023 | Ever more optimized simulations of fermionic systems on a quantum computer. Qingfeng Wang, Ze-Pei Cian, Ming Li, Igor L. Markov, Yunseong Nam |
| 2023 | ExploreFault: Identifying Exploitable Fault Models in Block Ciphers with Reinforcement Learning. Hao Guo, Sayandeep Saha, Vasudev Gohil, Satwik Patnaik, Debdeep Mukhopadhyay, Jeyavijayan (JV) Rajendran |
| 2023 | FIONA: Fine-grained Incoherent Optical DNN Accelerator Search for Superior Efficiency and Robustness. Mengquan Li, Kenli Li, Mingfeng Lan, Jie Xiong, Zhuo Tang, Weichen Liu |
| 2023 | FLNA: An Energy-Efficient Point Cloud Feature Learning Accelerator with Dataflow Decoupling. Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Ningyi Xu, Guanghui He |
| 2023 | FPDsim: A Structural Simulator For Power Grid Analysis Of Flat Panel Display. Chengtao An, Chunqiao Li, Xiangqi Li, Yangfeng Su, Fan Yang, Xuan Zeng |
| 2023 | FSPA: An FeFET-based Sparse Matrix-Dense Vector Multiplication Accelerator. Xiaoyu Zhang, Zerun Li, Rui Liu, Xiaoming Chen, Yinhe Han |
| 2023 | Fair Will Go On: A Collaboration-Aware Fairness Scheme for NVMe SSD in Cloud Storage System. Yang Zhou, Fang Wang, Zhan Shi, Dan Feng, Yu Du |
| 2023 | Fast Adversarial Training with Dynamic Batch-level Attack Control. Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee |
| 2023 | Fast FPGA Accelerator of Graph Cut Algorithm with Out-of-order Parallel Execution in Folding Grid Architecture. Guangyao Yan, Xinzhe Liu, Hui Wang, Yajun Ha |
| 2023 | Faster and Stronger Lossless Compression with Optimized Autoregressive Framework. Yu Mao, Jingzong Li, Yufei Cui, Chun Jason Xue |
| 2023 | Fault Injection in Native Logic-in-Memory Computation on Neuromorphic Hardware. Felix Staudigl, Thorben Fetz, Rebecca Pelke, Dominik Sisejkovic, Jan Moritz Joseph, Letícia Maria Bolzani Pöhls, Rainer Leupers |
| 2023 | Fault Tolerance in Time-Sensitive Networking with Mixed-Critical Traffic. Wenhong Ma, Xiangzhen Xiao, Guoqi Xie, Nan Guan, Yu Jiang, Wanli Chang |
| 2023 | Fault-Tolerance-Oriented Physical Design for Fully Programmable Valve Array Biochips. Genggeng Liu, Yuhan Zhu, Wenzhong Guo, Xing Huang |
| 2023 | Fine-Grained QoS Control via Tightly-Coupled Bandwidth Monitoring and Regulation for FPGA-based Heterogeneous SoCs. Gianluca Brilli, Giacomo Valente, Alessandro Capotondi, Paolo Burgio, T. Di Masciov, Paolo Valente, Andrea Marongiu |
| 2023 | Flex-SFU: Accelerating DNN Activation Functions by Non-Uniform Piecewise Approximation. Enrico Reggiani, Renzo Andri, Lukas Cavigelli |
| 2023 | Formal Verification of Restoring Dividers made Fast and Simple. Jiteshri Dasari, Maciej J. Ciesielski |
| 2023 | G-QED: Generalized QED Pre-silicon Verification beyond Non-Interfering Hardware Accelerators. Saranyu Chattopadhyay, Keerthikumara Devarajegowda, Bihan Zhao, Florian Lonsing, Brandon A. D'Agostino, Ioanna Vavelidou, Vijay Deep Bhatt, Sebastian Prebeck, Wolfgang Ecker, Caroline Trippel, Clark W. Barrett, Subhasish Mitra |
| 2023 | GDSII-Guard: ECO Anti-Trojan Optimization with Exploratory Timing-Security Trade-Offs. Xinming Wei, Jiaxi Zhang, Guojie Luo |
| 2023 | Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks. Nan Wu, Yingjie Li, Cong Hao, Steve Dai, Cunxi Yu, Yuan Xie |
| 2023 | GenFuzz: GPU-accelerated Hardware Fuzzing using Genetic Algorithm with Multiple Inputs. Dian-Lun Lin, Yanqing Zhang, Haoxing Ren, Brucek Khailany, Shih-Hsin Wang, Tsung-Wei Huang |
| 2023 | General-Purpose Gate-Level Simulation with Partition-Agnostic Parallelism. Zizheng Guo, Zuodong Zhang, Xun Jiang, Wuxi Li, Yibo Lin, Runsheng Wang, Ru Huang |
| 2023 | Glass Interposer Integration of Logic and Memory Chiplets: PPA and Power/Signal Integrity Benefits. Pruek Vanna-Iampikul, Lingjun Zhu, Serhat Erdogan, Mohanalingam Kathaperumal, Ravi Agarwal, Ram Gupta, Kevin Rinebold, Sung Kyu Lim |
| 2023 | Global Floorplanning via Semidefinite Programming. Wei Li, Fangzhou Wang, José M. F. Moura, R. D. (Shawn) Blanton |
| 2023 | Graph Representation Learning for Microarchitecture Design Space Exploration. Xiaoling Yi, Jialin Lu, Xiankui Xiong, Dong Xu, Li Shang, Fan Yang |
| 2023 | Graph-Based Simultaneous Placement and Routing for Two-Dimensional Directed Self-Assembly Technology. Wei-Hsu Chen, Yao-Wen Chang |
| 2023 | HAIMA: A Hybrid SRAM and DRAM Accelerator-in-Memory Architecture for Transformer. Yan Ding, Chubo Liu, Mingxing Duan, Wanli Chang, Keqin Li, Kenli Li |
| 2023 | HAWEN: Hardware Accelerator for Thread Wake-Ups in Linux Event Notification. Lars Nolte, Tim Twardzik, Camille Jalier, Zhigang Huang, Jiyuan Shi, Clara Kowalsky, Thomas Wild, Andreas Herkersdorf |
| 2023 | HBP: Hierarchically Balanced Pruning and Accelerator Co-Design for Efficient DNN Inference. Ao Ren, Yuhao Wang, Tao Zhang, Jiaxing Shi, Duo Liu, Xianzhang Chen, Yujuan Tan, Yuan Xie |
| 2023 | HDSuper: Algorithm-Hardware Co-design for Light-weight High-quality Super-Resolution Accelerator. Liang Chang, Xin Zhao, Dongqi Fan, Zhicheng Hu, Jun Zhou |
| 2023 | HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms. Josse Van Delm, Maarten Vandersteegen, Alessio Burrello, Giuseppe Maria Sarda, Francesco Conti, Daniele Jahier Pagliari, Luca Benini, Marian Verhelst |
| 2023 | HUNTER: Releasing Persistent Memory Write Performance with A Novel PM-DRAM Collaboration Architecture. Yanqi Pan, Yifeng Zhang, Wen Xia, Xiangyu Zou, Cai Deng |
| 2023 | HammerDodger: A Lightweight Defense Framework against RowHammer Attack on DNNs. Cheng Gongye, Yukui Luo, Xiaolin Xu, Yunsi Fei |
| 2023 | Hardware Support for Durable Atomic Instructions for Persistent Parallel Programming. Khan Shaikhul Hadi, Naveed Ul Mustafa, Mark Heinrich, Yan Solihin |
| 2023 | Hardware-Aware Graph Neural Network Automated Design for Edge Computing Platforms. Ao Zhou, Jianlei Yang, Yingjie Qi, Yumeng Shi, Tong Qiao, Weisheng Zhao, Chunming Hu |
| 2023 | Heterogeneous Reconfigurable Accelerators: Trends and Perspectives. Wayne Luk |
| 2023 | HexaMesh: Scaling to Hundreds of Chiplets with an Optimized Chiplet Arrangement. Patrick Iff, Maciej Besta, Matheus A. Cavalcante, Tim Fischer, Luca Benini, Torsten Hoefler |
| 2023 | High Performance, Low Power Matrix Multiply Design on ACAP: from Architecture, Design Challenges and DSE Perspectives. Jinming Zhuang, Zhuoping Yang, Peipei Zhou |
| 2023 | Holistic WCRT Analysis for Global Fixed-Priority Preemptive Multiprocessor Scheduling. Guoqi Xie, Chenglai Xiong, Wei Wu, Renfa Li, Wanli Chang |
| 2023 | How to Boost Deep Neural Networks for Computer Vision. Soonhoi Ha |
| 2023 | Hybrid Gate-Pulse Model for Variational Quantum Algorithms. Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi |
| 2023 | Hybrid Obfuscation of Chiplet-Based Systems. Yousef Safari, Pooya Aghanoury, Subramanian S. Iyer, Nader Sehatbakhsh, Boris Vaisband |
| 2023 | HyperAttack: An Efficient Attack Framework for HyperDimensional Computing. Fangxin Liu, Haomin Li, Yongbiao Chen, Tao Yang, Li Jiang |
| 2023 | IFHE: Intermediate-Feature Heterogeneity Enhancement for Image Synthesis in Data-Free Knowledge Distillation. Yi Chen, Ning Liu, Ao Ren, Tao Yang, Duo Liu |
| 2023 | INVITED: Design Automation Needs for Monolithic 3D ICs: Accomplishments and Gaps. Lingjun Zhu, Sung Kyu Lim |
| 2023 | INVITED: Generalizing the ISA to the ILA: A Software/Hardware Interface for Accelerator-rich Platforms. Bo-Yuan Huang, Hongce Zhang, Aarti Gupta, Sharad Malik |
| 2023 | IP Protection in TinyML. Jinwen Wang, Yuhao Wu, Han Liu, Bo Yuan, Roger D. Chamberlain, Ning Zhang |
| 2023 | Improving Standard-Cell Design Flow using Factored Form Optimization. Alessandro Tempia Calvino, Alan Mishchenko, Herman Schmit, Ethan Mahintorabi, Giovanni De Micheli, Xiaoqing Xu |
| 2023 | In-Memory Neural Network Accelerator based on eDRAM Cell with Enhanced Retention Time. Inhwan Lee, Eunhwan Kim, Nameun Kang, Hyunmyung Oh, Jae-Joon Kim |
| 2023 | Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing. Yuhang Li, Abhishek Moitra, Tamar Geller, Priyadarshini Panda |
| 2023 | Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing. Yang Katie Zhao, Shang Wu, Jingqun Zhang, Sixu Li, Chaojian Li, Yingyan Celine Lin |
| 2023 | Intermittent-Aware Neural Network Pruning. Chih-Chia Lin, Chia-Yin Liu, Chih-Hsuan Yen, Tei-Wei Kuo, Pi-Cheng Hsiu |
| 2023 | Invited: A Scalable Formal Approach for Correctness-Assured Hardware Design. Jin Yang, Jeremy Casas, Zhenkun Yang |
| 2023 | Invited: Accelerating Genome Analysis via Algorithm-Architecture Co-Design. Onur Mutlu, Can Firtina |
| 2023 | Invited: Algorithm-Software-Hardware Co-Design for Deep Learning Acceleration. Zhengang Li, Yanyue Xie, Peiyan Dong, Olivia Chen, Yanzhi Wang |
| 2023 | Invited: Algorithms and Architectures for Accelerating Long Read Sequence Analysis. Hasindu Gamaarachchi, Kisaru Liyanage, Sri Parameswaran |
| 2023 | Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models. Saurabh Pujar, Luca Buratti, Xiaojie Guo, Nicolas Dupuis, Burn L. Lewis, Sahil Suneja, Atin Sood, Ganesh Nalawade, Matthew Jones, Alessandro Morari, Ruchir Puri |
| 2023 | Invited: Autonomous Driving Digital Twin Empowered Design Automation: An Industry Perspective. Bo Yu, Jie Tang, Shaoshan Liu |
| 2023 | Invited: Building Robust Quantum System Software for Technology-Specific Characteristics. Tirthak Patel, Devesh Tiwari |
| 2023 | Invited: Buried Power Rails and Back-side Power Grids: Prospects and Challenges. S. S. Teja Nibhanupudi, Sirish Oruganti, Rahul Mathur, Nishant Gupta, Meizhi Wang, Jaydeep P. Kulkarni |
| 2023 | Invited: Caching in Automated Data Centric Vehicles for Edge Computing Scenarios. Nora Sperling, Alex Bendrick, Dominik Stöhrmann, Rolf Ernst |
| 2023 | Invited: Compute Express Link™ (CXL™): An Open Interconnect for Cloud Infrastructure. Debendra Das Sharma |
| 2023 | Invited: Pre-silicon Side Channel and Fault Analysis. Jasper Van Woudenberg, Peter Grossmann, Avinash Varna, Joseph Friel, Daniel Dinu, Ronnie Lindsay, Steve J. Brown |
| 2023 | Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing. Xiangguo Liu, Yunpeng Luo, Anthony Goeckner, Trishna Chakraborty, Ruochen Jiao, Ningfei Wang, Yixuan Wang, Takami Sato, Qi Alfred Chen, Qi Zhu |
| 2023 | Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning. Zhuo Liu, Yunan Yang, Zhenyu Pan, Anshujit Sharma, Amit Hasan, Caiwen Ding, Ang Li, Michael C. Huang, Tong Geng |
| 2023 | LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition. Yu Zhang, Yifan Chen, Zhonglin Xie, Hong Xu, Zaiwen Wen, Yibo Lin, Bei Yu |
| 2023 | Lamellar DSA-aware Detailed Routing Considering Double Patterning and Short Template Minimization. Kuei-Lin Wu, Shao-Yun Fang |
| 2023 | Late Breaking Results From Hybrid Design Automation for Field-coupled Nanotechnologies. Simon Toni Hofmann, Marcel Walter, Lorenzo Servadei, Robert Wille |
| 2023 | Late Breaking Results: An Efficient Bridge-based Compression Algorithm for Topologically Quantum Error Corrected Circuits. Wei-Hsiang Tseng, Yao-Wen Chang |
| 2023 | Late Breaking Results: Analytical Placement for 3D ICs with Multiple Manufacturing Technologies. Yan-Jen Chen, Yan-Syuan Chen, Wei-Che Tseng, Cheng-Yu Chiang, Yu-Hsiang Lo, Yao-Wen Chang |
| 2023 | Late Breaking Results: COPPER: Computation Obfuscation by Producing Permutations for Encoding Randomly. Kevin Hutto, Vincent John Mooney |
| 2023 | Late Breaking Results: Configurable Ring Oscillators as a Side-Channel Countermeasure. Hassan Nassar, Simon Pankner, Lars Bauer, Jörg Henkel |
| 2023 | Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge. Changdi Yang, Yi Sheng, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin |
| 2023 | Late Breaking Results: PVT-Sensitive Delay Fitting for High-Performance Computing. Ding-Hao Wang, Shuo-Hung Hsu, Shu-Hsiang Yang, Pei-Ju Lin, Hui-Ting Yang, Mark Po-Hung Lin |
| 2023 | Late Breaking Results: RL-LPO: Reinforcement Learning Based Leakage Power Optimization Framework with Graph Neural Network. Peng Cao, Jiahao Wang |
| 2023 | Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection. Junyao Wang, Hanning Chen, Mariam Issa, Sitao Huang, Mohsen Imani |
| 2023 | Late Breaking Results: Test Selection For RTL Coverage By Unsupervised Learning From Fast Functional Simulation. Rongjian Liang, Nathaniel Ross Pinckney, Yuji Chai, Haoxin Ren, Brucek Khailany |
| 2023 | Late Breaking Results: Weight Decay is ALL You Need for Neural Network Sparsification. Xizi Chen, Rui Pan, Xiaomeng Wang, Fengshi Tian, Chi-Ying Tsui |
| 2023 | Layout Decomposition via Boolean Satisfiability. Hongduo Liu, Peiyu Liao, Mengchuan Zou, Bowen Pang, Xijun Li, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu |
| 2023 | Leaky MDU: ARM Memory Disambiguation Unit Uncovered and Vulnerabilities Exposed. Chang Liu, Yongqiang Lyu, Haixia Wang, Pengfei Qiu, Dapeng Ju, Gang Qu, Dongsheng Wang |
| 2023 | Learning-based Data Separation for Write Amplification Reduction in Solid State Drives. Penghao Sun, Litong You, Shengan Zheng, Wanru Zhang, Ruoyan Ma, Jie Yang, Guanzhong Wang, Feng Zhu, Shu Li, Linpeng Huang |
| 2023 | Lift: Exploiting Hybrid Stacked Memory for Energy-Efficient Processing of Graph Convolutional Networks. Jiaxian Chen, Zhaoyu Zhong, Kaoyi Sun, Chenlin Ma, Rui Mao, Yi Wang |
| 2023 | Lightning Talk 21: EDA with ML, Rule-Based, or Both? Youngsoo Shin |
| 2023 | Lightning Talk 6: Bringing Together Foundation Models and Edge Devices. Nick Eliopoulos, Yung-Hsiang Lu |
| 2023 | Lightning Talk: A Perspective on Neuromorphic Computing. Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy |
| 2023 | Lightning Talk: All Routes to Timing Closure. Iris Hui-Ru Jiang |
| 2023 | Lightning Talk: Bridging Neuro-Dynamics and Cognition. Mohsen Imani |
| 2023 | Lightning Talk: Can memory technologies meet demands of data abundant applications? Vijaykrishnan Narayanan |
| 2023 | Lightning Talk: Efficiency and Programmability of DNN Accelerators and GPUs. Won Woo Ro |
| 2023 | Lightning Talk: Efficient Embedded Machine Learning Deployment on Edge and IoT Devices. Sudeep Pasricha |
| 2023 | Lightning Talk: Memory-Centric Computing. Onur Mutlu |
| 2023 | Lightning Talk: Model, Framework and Integration for In-Storage Computing with Computational SSDs. Tianyu Wang, Jin Xue, Zelin Du, Zhiqi Wang, Yaotian Cui, Zili Shao |
| 2023 | Lightning Talk: Power and Performance Reconciliation - from Tradeoff to Win-Win. Jiang Hu |
| 2023 | Lightning Talk: Private and Secure Edge AI with Hyperdimensional Computing. Xiaofan Yu, Minxuan Zhou, Fatemeh Asgarinejad, Onat Güngör, Baris Aksanli, Tajana Rosing |
| 2023 | Lightning Talk: Scaling Up Quantum Compilation - Challenges and Opportunities. Jason Cong |
| 2023 | Lightning Talk: The Incredible Shrinking Black Box Model. Patrick Schaumont |
| 2023 | Lightning Talk: The New Era of Computational Cognitive Intelligence. Nikil D. Dutt, Bryan Donyanavard |
| 2023 | Lightning Talk: The Next Wave of High-level Synthesis. Deming Chen |
| 2023 | Lightning Talk: Trinity - Assured Neuro-symbolic Model Inspired by Hierarchical Predictive Coding. Susmit Jha |
| 2023 | Lightning Talk: Unlocking the Potential of the Analog Domain: Exploring the Next Frontier in Hardware Security. Waleed Khalil |
| 2023 | Lightweight Structural Choices Operator for Technology Mapping. Antoine Grosnit, Matthieu Zimmer, Rasul Tutunov, Xing Li, Lei Chen, Fan Yang, Mingxuan Yuan, Haitham Bou-Ammar |
| 2023 | MARS: Exploiting Multi-Level Parallelism for DNN Workloads on Adaptive Multi-Accelerator Systems. Guan Shen, Jieru Zhao, Zeke Wang, Zhe Lin, Wenchao Ding, Chentao Wu, Quan Chen, Minyi Guo |
| 2023 | MES-Attacks: Software-Controlled Covert Channels based on Mutual Exclusion and Synchronization. Chaoqun Shen, Jiliang Zhang, Gang Qu |
| 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 | MPass: Bypassing Learning-based Static Malware Detectors. Jialai Wang, Wenjie Qu, Yi Rong, Han Qiu, Qi Li, Zongpeng Li, Chao Zhang |
| 2023 | MTL-Designer: An Integrated Flow for Analysis and Synthesis of Microstrip Transmission Line. Qipan Wang, Ping Liu, Liguo Jiang, Mingjie Liu, Yibo Lin, Runsheng Wang, Ru Huang |
| 2023 | Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores. Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel |
| 2023 | Mantra: Mutation Testing of Hardware Design Code Based on Real Bugs. Jiang Wu, Yan Lei, Zhuo Zhang, Xiankai Meng, Deheng Yang, Pan Li, Jiayu He, Xiaoguang Mao |
| 2023 | Map-and-Conquer: Energy-Efficient Mapping of Dynamic Neural Nets onto Heterogeneous MPSoCs. Halima Bouzidi, Mohanad Odema, Hamza Ouarnoughi, Smaïl Niar, Mohammad Abdullah Al Faruque |
| 2023 | Mckeycutter: A High-throughput Key Generator of Classic McEliece on Hardware. Yihong Zhu, Wenping Zhu, Chen Chen, Min Zhu, Zhengdong Li, Shaojun Wei, Leibo Liu |
| 2023 | MeG Yu Huang, Long Zheng, Haifeng Liu, Zhuoran Zhou, Dan Chen, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin |
| 2023 | Memory and Computation Coordinated Mapping of DNNs onto Complex Heterogeneous SoC. Size Zheng, Siyuan Chen, Yun Liang |
| 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 | Mitigating Distribution Shift for Congestion Optimization in Global Placement. Su Zheng, Lancheng Zou, Siting Liu, Yibo Lin, Bei Yu, Martin D. F. Wong |
| 2023 | MixPipe: Efficient Bidirectional Pipeline Parallelism for Training Large-Scale Models. Weigang Zhang, Biyu Zhou, Xuehai Tang, Zhaoxing Wang, Songlin Hu |
| 2023 | Mixed-cell-height Placement with Minimum-Implant-Area and Drain-to-Drain Abutment Constraints. Guohao Chen, Zheng Zeng, Benchao Zhu, Jiawei Li, Kun Wang, Jun Yu, Jianli Chen |
| 2023 | Morphable CIM: Improving Operation Intensity and Depthwise Capability for SRAM-CIM Architecture. Yun-Chen Lo, Ren-Shuo Liu |
| 2023 | Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models. Yi Sheng, Junhuan Yang, Lei Yang, Yiyu Shi, Jingtong Hu, Weiwen Jiang |
| 2023 | NMExplorer: An Efficient Exploration Framework for DIMM-based Near-Memory Tensor Reduction. Cong Li, Zhe Zhou, Xingchen Li, Guangyu Sun, Dimin Niu |
| 2023 | NNTesting: Neural Network Fault Attacks Detection Using Gradient-Based Test Vector Generation. Antian Wang, Bingyin Zhao, Weihang Tan, Yingjie Lao |
| 2023 | NTT-PIM: Row-Centric Architecture and Mapping for Efficient Number-Theoretic Transform on PIM. Jaewoo Park, Sugil Lee, Jongeun Lee |
| 2023 | NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Celine Lin |
| 2023 | Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding |
| 2023 | Neuromorphic Swarm on RRAM Compute-in-Memory Processor for Solving QUBO Problem. Ashwin Sanjay Lele, Muya Chang, Samuel D. Spetalnick, Brian Crafton, Arijit Raychowdhury, Yan Fang |
| 2023 | Occamy: Memory-efficient GPU Compiler for DNN Inference. Jaeho Lee, Shinnung Jeong, Seungbin Song, Kunwoo Kim, Heelim Choi, Youngsok Kim, Hanjun Kim |
| 2023 | OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload. Andreas Karatzas, Iraklis Anagnostopoulos |
| 2023 | On EDA-Driven Learning for SAT Solving. Min Li, Zhengyuan Shi, Qiuxia Lai, Sadaf Khan, Shaowei Cai, Qiang Xu |
| 2023 | On a Moreau Envelope Wirelength Model for Analytical Global Placement. Peiyu Liao, Hongduo Liu, Yibo Lin, Bei Yu, Martin D. F. Wong |
| 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 | On-Device Unsupervised Image Segmentation. Junhuan Yang, Yi Sheng, Yuzhou Zhang, Weiwen Jiang, Lei Yang |
| 2023 | OpenDRC: An Efficient Open-Source Design Rule Checking Engine with Hierarchical GPU Acceleration. Zhuolun He, Yihang Zuo, Jiaxi Jiang, Haisheng Zheng, Yuzhe Ma, Bei Yu |
| 2023 | Optimal Synthesis of Multi-Controlled Qudit Gates. Wei Zi, Qian Li, Xiaoming Sun |
| 2023 | Optimizing Data Reuse for CGRA Mapping Using Polyhedral-based Loop Transformations. Liao Huang, Dajiang Liu |
| 2023 | Optimizing the Performance of NDP Operations by Retrieving File Semantics in Storage. Lin Li, Xianzhang Chen, Jiali Li, Jiapin Wang, Duo Liu, Yujuan Tan, Ao Ren |
| 2023 | Orchestrated Scheduling and Partitioning for Improved Address Translation in GPUs. Bingyao Li, Yueqi Wang, Xulong Tang |
| 2023 | Orchestrating Measurement-Based Quantum Computation over Photonic Quantum Processors. Yingheng Li, Aditya Pawar, Mohadeseh Azari, Yanan Guo, Youtao Zhang, Jun Yang, Kaushik Parasuram Seshadreesan, Xulong Tang |
| 2023 | PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding |
| 2023 | PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge. Vikram Jain, Matheus A. Cavalcante, Nazareno Bruschi, Michael Rogenmoser, Thomas Benz, Andreas Kurth, Davide Rossi, Luca Benini, Marian Verhelst |
| 2023 | PIE-DRAM: Postponing IECC to Enhance DRAM performance with access table. JaeHwa Jeon, Jae-Youn Hong, Sunghoon Kim, Insu Choi, Joon-Sung Yang |
| 2023 | PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural Network Accelerators. Yu Zhu, Zhenhua Zhu, Guohao Dai, Fengbin Tu, Hanbo Sun, Kwang-Ting Cheng, Huazhong Yang, Yu Wang |
| 2023 | PIMA-LPN: Processing-in-memory Acceleration for Efficient LPN-based Post-Quantum Cryptography. Lin Ding, Song Bian, Jiliang Zhang |
| 2023 | PIMCOMP: A Universal Compilation Framework for Crossbar-based PIM DNN Accelerators. Xiaotian Sun, Xinyu Wang, Wanqian Li, Lei Wang, Yinhe Han, Xiaoming Chen |
| 2023 | PROPHET: Predictive On-Chip Power Meter in Hardware Accelerator for DNN. Jian Peng, Tingyuan Liang, Zhiyao Xie, Wei Zhang |
| 2023 | PSMiner: A Pattern-Aware Accelerator for High-Performance Streaming Graph Pattern Mining. Hao Qi, Yu Zhang, Ligang He, Kang Luo, Jun Huang, Haoyu Lu, Jin Zhao, Hai Jin |
| 2023 | PTStore: Lightweight Architectural Support for Page Table Isolation. Wende Tan, Yangyu Chen, Yuan Li, Ying Liu, Jianping Wu, Yu Ding, Chao Zhang |
| 2023 | PUFFER: A Routability-Driven Placement Framework via Cell Padding with Multiple Features and Strategy Exploration. Zhijie Cai, Peng Zou, Zhengtao Wu, Xingyu Tong, Jun Yu, Jianli Chen, Yao-Wen Chang |
| 2023 | PUMICE: Processing-using-Memory Integration with a Scalar Pipeline for Symbiotic Execution. Socrates S. Wong, Cecilio C. Tamarit, José F. Martínez |
| 2023 | PVC-RAM:Process Variation Aware Charge Domain In-Memory Computing 6T-SRAM for DNNs. Sai Shubham, Shubham Pandit, Kailash Prasad, Joycee Mekie |
| 2023 | Partition Based Differential Testing for Finding Embedded Code Generation Bugs in Simulink. He Jiang, Hongyi Cheng, Shikai Guo, Xiaochen Li |
| 2023 | Pathfinding Model and Lagrangian-Based Global Routing. Pengju Yao, Ping Zhang, Wenxing Zhu |
| 2023 | PertNAS: Architectural Perturbations for Memory-Efficient Neural Architecture Search. Afzal Ahmad, Zhiyao Xie, Wei Zhang |
| 2023 | Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields. Guojin Chen, Zehua Pei, Haoyu Yang, Yuzhe Ma, Bei Yu, Martin D. F. Wong |
| 2023 | Physics-aware Roughness Optimization for Diffractive Optical Neural Networks. Shanglin Zhou, Yingjie Li, Minhan Lou, Weilu Gao, Zhijie Shi, Cunxi Yu, Caiwen Ding |
| 2023 | Power Side-Channel Vulnerability Assessment of Lightweight Cryptographic Scheme, XOODYAK. Anupam Golder, Debayan Das, Santosh Ghosh, Avinash Varna, Majid Sabbagh, Sayak Ray, Rana Elnaggar, Joseph Friel, Daniel Dinu, Jason M. Fung |
| 2023 | PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration. Richard Petri, Grace Li Zhang, Yiran Chen, Ulf Schlichtmann, Bing Li |
| 2023 | Primer: Fast Private Transformer Inference on Encrypted Data. Mengxin Zheng, Qian Lou, Lei Jiang |
| 2023 | Privacy-Preserving DNN Training with Prefetched Meta-Keys on Heterogeneous Neural Network Accelerators. Qiushi Li, Ju Ren, Yan Zhang, Chengru Song, Yiqiao Liao, Yaoxue Zhang |
| 2023 | Processing-In-Hierarchical-Memory Architecture for Billion-Scale Approximate Nearest Neighbor Search. Zhenhua Zhu, Jun Liu, Guohao Dai, Shulin Zeng, Bing Li, Huazhong Yang, Yu Wang |
| 2023 | Processor Vulnerability Discovery. Yongqiang Lyu, Rihui Sun, Gang Qu |
| 2023 | Profile-Driven Banded Smith-Waterman acceleration for Short Read Alignment. Konstantina Koliogeorgi, Dimitrios Soudris, Sotirios Xydis |
| 2023 | Property-Based Timing Analysis and Optimization for Complex Cyber-Physical Real-Time Systems. Jian-Jia Chen, Niklas Ueter, Mario Günzel, Georg von der Brüggen, Tei-Wei Kuo |
| 2023 | PseudoSC: A Binary Approximation to Stochastic Computing within Latent Operation-Space for Ultra-Lightweight on-Edge DNNs. Jihe Wang, Zhaoqing Wang, Danghui Wang |
| 2023 | Quixote: Improving Fidelity of Quantum Program by Independent Execution of Controlled Gates. Enhyeok Jang, Seungwoo Choi, Won Woo Ro |
| 2023 | R-TOSS: A Framework for Real-Time Object Detection using Semi-Structured Pruning. Abhishek Balasubramaniam, Febin Sunny, Sudeep Pasricha |
| 2023 | RESPECT: Reinforcement Learning based Edge Scheduling on Pipelined Coral Edge TPUs. Jiaqi Yin, Yingjie Li, Daniel Robinson, Cunxi Yu |
| 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 | RL-MUL: Multiplier Design Optimization with Deep Reinforcement Learning. Dongsheng Zuo, Yikang Ouyang, Yuzhe Ma |
| 2023 | RLAlloc: A Deep Reinforcement Learning-Assisted Resource Allocation Framework for Enhanced Both I/O Throughput and QoS Performance of Multi-Streamed SSDs. Mengquan Li, Chao Wu, Congming Gao, Cheng Ji, Kenli Li |
| 2023 | RMP-MEM: A HW/SW Reconfigurable Multi-Port Memory Architecture for Multi-PEA Oriented CGRA. Qidie Wu, Jiangyuan Gu, Youxu Lin, Boxiao Han, Hongjun He, Yang Hu, Leibo Liu, Shaojun Wei, Shouyi Yin |
| 2023 | RQ-DNN: Reliable Quantization for Fault-tolerant Deep Neural Networks. Insu Choi, Jae-Youn Hong, JaeHwa Jeon, Joon-Sung Yang |
| 2023 | Range-Invariant Approximation of Non-Linear Operations for Efficient BERT Fine-Tuning. Janghyeon Kim, Janghwan Lee, Jungwook Choi, Jeongho Han, Sangheon Lee |
| 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 | Reaction Time Analysis of Event-Triggered Processing Chains with Data Refreshing. Yue Tang, Nan Guan, Xu Jiang, Zheng Dong, Wang Yi |
| 2023 | Reinforcement Learning-Assisted Management for Convertible SSDs. Qian Wei, Yi Li, Zhiping Jia, Mengying Zhao, Zhaoyan Shen, Bingzhe Li |
| 2023 | Reinforcement Learning-based Analog Circuit Optimizer using gm/ID for Sizing. Minjeong Choi, Youngchang Choi, Kyongsu Lee, Seokhyeong Kang |
| 2023 | Response Time Analysis and Optimization of DAG Tasks Exploiting Mutually Exclusive Execution. Haochun Liang, Xu Jiang, Nan Guan, Qingqiang He, Wang Yi |
| 2023 | Restructure-Tolerant Timing Prediction via Multimodal Fusion. Ziyi Wang, Siting Liu, Yuan Pu, Song Chen, Tsung-Yi Ho, Bei Yu |
| 2023 | Rethinking AIG Resynthesis in Parallel. Tianji Liu, Evangeline F. Y. Young |
| 2023 | Rethinking Programming Frameworks for In-Storage Processing. Yu-Chia Liu, Kuan-Chieh Hsu, Hung-Wei Tseng |
| 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 | RoSE: Robust Analog Circuit Parameter Optimization with Sampling-Efficient Reinforcement Learning. Jian Gao, Weidong Cao, Xuan Zhang |
| 2023 | Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning. Yonggan Fu, Ye Yuan, Shang Wu, Jiayi Yuan, Yingyan Celine Lin |
| 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 | SCAGuard: Detection and Classification of Cache Side-Channel Attacks via Attack Behavior Modeling and Similarity Comparison. Limin Wang, Lei Bu, Fu Song |
| 2023 | SE3: Sequential Equivalence Checking for Non-Cycle-Accurate Design Transformations You Li, Guannan Zhao, Yunqi He, Hai Zhou |
| 2023 | SEO: Safety-Aware Energy Optimization Framework for Multi-Sensor Neural Controllers at the Edge. Mohanad Odema, James Ferlez, Yasser Shoukry, Mohammad Abdullah Al Faruque |
| 2023 | SPET: Transparent SRAM Allocation and Model Partitioning for Real-time DNN Tasks on Edge TPU. Changhun Han, Hoon Sung Chwa, Kilho Lee, Sangeun Oh |
| 2023 | STCG: State-Aware Test Case Generation for Simulink Models. Zhuo Su, Zehong Yu, Dongyan Wang, Yixiao Yang, Rui Wang, Wanli Chang, Aiguo Cui, Yu Jiang |
| 2023 | STRIVE: Enabling Choke Point Detection and Timing Error Resilience in a Low-Power Tensor Processing Unit. Noel Daniel Gundi, Zinnia Muntaha Mowri, Andrew Chamberlin, Sanghamitra Roy, Koushik Chakraborty |
| 2023 | SaGraph: A Similarity-aware Hardware Accelerator for Temporal Graph Processing. Jin Zhao, Yu Zhang, Jian Cheng, Yiyang Wu, Chuyue Ye, Hui Yu, Zhiying Huang, Hai Jin, Xiaofei Liao, Lin Gu, Haikun Liu |
| 2023 | Safe DNN-type Controller Synthesis for Nonlinear Systems via Meta Reinforcement Learning. Hanrui Zhao, Xia Zeng, Niuniu Qi, Zhengfeng Yang, Zhenbing Zeng |
| 2023 | Scalable Optimal Layout Synthesis for NISQ Quantum Processors. Wan-Hsuan Lin, Jason Kimko, Bochen Tan, Nikolaj S. Bjørner, Jason Cong |
| 2023 | Seeking the Yield Barrier: High-Dimensional SRAM Evaluation Through Optimal Manifold. Yanfang Liu, Guohao Dai, Wei W. Xing |
| 2023 | Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning. Liang Wang, Kai Lu, Nan Zhang, Xiaoyang Qu, Jianzong Wang, Jiguang Wan, Guokuan Li, Jing Xiao |
| 2023 | Sidekick: Near Data Processing for Clustering Enhanced by Automatic Memory Disaggregation. Sanghoon Lee, Jongho Park, Minho Ha, Byungil Koh, Kyoung Park, Yeseong Kim |
| 2023 | SimLL: Similarity-Based Logic Locking Against Machine Learning Attacks. Subhajit Dutta Chowdhury, Kaixin Yang, Pierluigi Nuzzo |
| 2023 | Smart Detection of Obfuscated Thermal Covert Channel Attacks in Many-core Processors. Jeferson González-Gómez, Mohammed Bakr Sikal, Heba Khdr, Lars Bauer, Jörg Henkel |
| 2023 | SpMMPlu: A Compiler Plug-in with Sparse IR for Efficient Sparse Matrix Multiplication. Tao Yang, Yiyuan Zhou, Qidong Tang, Feng Xu, Hui Ma, Jieru Zhao, Li Jiang |
| 2023 | Sparse Hamming Graph: A Customizable Network-on-Chip Topology. Patrick Iff, Maciej Besta, Matheus A. Cavalcante, Tim Fischer, Luca Benini, Torsten Hoefler |
| 2023 | Specialization meets Flexibility: a Heterogeneous Architecture for High-Efficiency, High-flexibility AR/VR Processing. Arpan Suravi Prasad, Luca Benini, Francesco Conti |
| 2023 | Stalker: A Framework to Analyze Fragility of Cryptographic Libraries under Hardware Fault Models. Guorui Xu, Fan Zhang, Xinjie Zhao, Yuan Chen, Shize Guo, Kui Ren |
| 2023 | Stochastic-HMDs: Adversarial-Resilient Hardware Malware Detectors via Undervolting. Md. Shohidul Islam, Ihsen Alouani, Khaled N. Khasawneh |
| 2023 | System-level Innovation for the Next Decade AI Performance, Power, Area with Co-optimization. Marcus Pan |
| 2023 | TD-Magic: From Pictures of Timing Diagrams To Formal Specifications. Jie He, Dejan Nickovic, Ezio Bartocci, Radu Grosu |
| 2023 | TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning. Eunji Yoo, Gunho Park, Jung Gyu Min, Se Jung Kwon, Baeseong Park, Dongsoo Lee, Youngjoo Lee |
| 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 | TOTAL: Multi-Corners Timing Optimization Based on Transfer and Active Learning. Wei W. Xing, Zheng Xing, Rongqi Lu, Zhelong Wang, Ning Xu, Yuanqing Cheng, Weisheng Zhao |
| 2023 | Thermal Scaffolding for Ultra-Dense 3D Integrated Circuits. Dennis Rich, Anna Kasperovich, Mohamadali Malakoutian, Robert M. Radway, Shiho Hagiwara, Takahide Yoshikawa, Srabanti Chowdhury, Subhasish Mitra |
| 2023 | TiPU: A Spatial-Locality-Aware Near-Memory Tile Processing Unit for 3D Point Cloud Neural Network. Jiapei Zheng, Hao Jiang, Xinkai Nie, Zhangcheng Huang, Chixiao Chen, Qi Liu |
| 2023 | Toward Optimal Filler Cell Insertion with Complex Implant Layer Constraints. Peng Zou, Guohao Chen, Zhifeng Lin, Jun Yu, Jianli Chen |
| 2023 | Toward Parallelism-Optimal Topology Generation for Wavelength-Routed Optical NoC Designs. Kuan-Cheng Chen, Yan-Lin Chen, Yu-Sheng Lu, Yao-Wen Chang |
| 2023 | Towards A Formally Verified Fully Homomorphic Encryption Compute Engine. Jeremy Casas, Zhenkun Yang, Wen Wang, Jin Yang, Adwait Godbole |
| 2023 | Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning. Hao Kong, Di Liu, Xiangzhong Luo, Shuo Huai, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu |
| 2023 | Uint-Packing: Multiply Your DNN Accelerator Performance via Unsigned Integer DSP Packing. Jingwei Zhang, Meng Zhang, Xinye Cao, Guoqing Li |
| 2023 | Unified Agile Accuracy Assessment in Computing-in-Memory Neural Accelerators by Layerwise Dynamical Isometry. Xuan-Jun Chen, Cynthia Kuan, Chia-Lin Yang |
| 2023 | UpPipe: A Novel Pipeline Management on In-Memory Processors for RNA-seq Quantification. Liang-Chi Chen, Chien-Chung Ho, Yuan-Hao Chang |
| 2023 | UpTime: Towards Flow-based In-Memory Computing with High Fault-Tolerance. Sven Thijssen, Muhammad Rashedul Haq Rashed, Sumit Kumar Jha, Rickard Ewetz |
| 2023 | VITAL: Vision Transformer Neural Networks for Accurate Smartphone Heterogeneity Resilient Indoor Localization. Danish Gufran, Saideep Tiku, Sudeep Pasricha |
| 2023 | Venus: A Versatile Deep Neural Network Accelerator Architecture Design for Multiple Applications. Jiaqi Yang, Hao Zheng, Ahmed Louri |
| 2023 | Victor: A Variation-resilient Approach Using Cell-Clustered Charge-domain computing for High-density High-throughput MLC CiM. Mingyen Lee, Wenjun Tang, Yiming Chen, Juejian Wu, Hongtao Zhong, Yixin Xu, Yongpan Liu, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li |
| 2023 | VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality. Jung-Woo Chang, Mojan Javaheripi, Farinaz Koushanfar |
| 2023 | When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA. Hongxiang Fan, Mark Chen, Liam Castelli, Zhiqiang Que, He Li, Kenneth Long, Wayne Luk |
| 2023 | WinoTrain: Winograd-Aware Training for Accurate Full 8-bit Convolution Acceleration. Pierpaolo Morì, Shambhavi Balamuthu Sampath, Lukas Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Walter Stechele, Claudio Passerone |
| 2023 | Work or Sleep: Freshness-Aware Energy Scheduling for Wireless Powered Communication Networks with Interference Consideration. Ling Lin, Lei Ju, Chun Jason Xue, Mingliang Zhou, Wei Zhang, Zimeng Zhou |
| 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 | ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks. Nojan Sheybani, Zahra Ghodsi, Ritvik Kapila, Farinaz Koushanfar |
| 2023 | ZoneKV: A Space-Efficient Key-Value Store for ZNS SSDs. Mingchen Lu, Peiquan Jin, Xiaoliang Wang, Yongping Luo, Kuankuan Guo |
| 2023 | cVTS: A Constrained Voronoi Tree Search Method for High Dimensional Analog Circuit Synthesis. Aidong Zhao, Xianan Wang, Zixiao Lin, Zhaori Bi, Xudong Li, Changhao Yan, Fan Yang, Li Shang, Dian Zhou, Xuan Zeng |
| 2023 | vPIM: Efficient Virtual Address Translation for Scalable Processing-in-Memory Architectures. Amel Fatima, Sihang Liu, Korakit Seemakhupt, Rachata Ausavarungnirun, Samira Manabi Khan |