| 2024 | A CGRA Front-end Compiler Enabling Extraction of General Control and Dedicated Operators. Xuchen Gao, Yunhui Qiu, Yuan Dai, Wenbo Yin, Lingli Wang |
| 2024 | A Cross-layer Framework for Design Space and Variation Analysis of Non-Volatile Ferroelectric Capacitor-Based Compute-in-Memory Accelerators. Yuan-Chun Luo, James Read, Anni Lu, Shimeng Yu |
| 2024 | A Dynamic Testing Scheme for Resistive-Based Computation-In-Memory Architectures. Sina Bakhtavari Mamaghani, Priyanjana Pal, Mehdi Baradaran Tahoori |
| 2024 | A Fast Test Compaction Method for Commercial DFT Flow Using Dedicated Pure-MaxSAT Solver. Zhiteng Chao, Xindi Zhang, JunYing Huang, Jing Ye, Shaowei Cai, Huawei Li, Xiaowei Li |
| 2024 | A Fast and Robust Global Router with Capacity Reduction Techniques. Yun-Kai Fang, Ye-Chih Lin, Ting-Chi Wang |
| 2024 | A Fixed-Point Pre-Processing Hardware Architecture Design for Complex Independent Component Analysis. Yashwant Moses, Madhav Rao |
| 2024 | A Heuristic and Greedy Weight Remapping Scheme with Hardware Optimization for Irregular Sparse Neural Networks Implemented on CIM Accelerator in Edge AI Applications. Lizhou Wu, Chenyang Zhao, Jingbo Wang, Xueru Yu, Shoumian Chen, Chen Li, Jun Han, Xiaoyong Xue, Xiaoyang Zeng |
| 2024 | A High Performance Detailed Router Based on Integer Programming with Adaptive Route Guides. Zhongdong Qi, Shizhe Hu, Qi Peng, Hailong You, Chao Han, Zhangming Zhu |
| 2024 | A Precision-Scalable RISC-V DNN Processor with On-Device Learning Capability at the Extreme Edge. Longwei Huang, Chao Fang, Qiong Li, Jun Lin, Zhongfeng Wang |
| 2024 | A Resource-efficient Task Scheduling System using Reinforcement Learning : Invited Paper. Chedi Morchdi, Cheng-Hsiang Chiu, Yi Zhou, Tsung-Wei Huang |
| 2024 | A Study on Exploring and Exploiting the High-dimensional Design Space for Analog Circuit Design Automation : (Invited Paper). Ruiyu Lyu, Yuan Meng, Aidong Zhao, Zhaori Bi, Keren Zhu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng |
| 2024 | A Transferable GNN-based Multi-Corner Performance Variability Modeling for Analog ICs. Hongjian Zhou, Yaguang Li, Xin Xiong, Pingqiang Zhou |
| 2024 | ACane: An Efficient FPGA-based Embedded Vision Platform with Accumulation-as-Convolution Packing for Autonomous Mobile Robots. Jinho Yang, Sungwoong Yune, Sukbin Lim, Donghyuk Kim, Joo-Young Kim |
| 2024 | APPLE: An Explainer of ML Predictions on Circuit Layout at the Circuit-Element Level. Tao Zhang, Haoyu Yang, Kang Liu, Zhiyao Xie |
| 2024 | APoX: Accelerate Graph-Based Deep Point Cloud Analysis via Adaptive Graph Construction. Lei Dai, Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li |
| 2024 | ARS-Flow: A Design Space Exploration Flow for Accelerator-rich System based on Active Learning. Shuaibo Huang, Yuyang Ye, Hao Yan, Longxing Shi |
| 2024 | Adaptive Control-Logic Routing for Fully Programmable Valve Array Biochips Using Deep Reinforcement Learning. Huayang Cai, Genggeng Liu, Wenzhong Guo, Zipeng Li, Tsung-Yi Ho, Xing Huang |
| 2024 | Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms. Zain Taufique, Antonio Miele, Pasi Liljeberg, Anil Kanduri |
| 2024 | Algebraic and Boolean Methods for SFQ Superconducting Circuits. Alessandro Tempia Calvino, Giovanni De Micheli |
| 2024 | An Analytical Placement Algorithm with Routing topology Optimization. Min Wei, Xingyu Tong, Zhijie Cai, Peng Zou, Zhifeng Lin, Jianli Chen |
| 2024 | An Effective Netlist Planning Approach for Double-sided Signal Routing. Tzu-Chuan Lin, Fang-Yu Hsu, Wai-Kei Mak, Ting-Chi Wang |
| 2024 | An Efficient Branch-and-Bound Routing Algorithm for Optical NoCs. Yihao Liu, Yaoyao Ye |
| 2024 | An Efficient Transfer Learning Assisted Global Optimization Scheme for Analog/RF Circuits. Zhikai Wang, Jingbo Zhou, Xiaosen Liu, Yan Wang |
| 2024 | An Optimization-aware Pre-Routing Timing Prediction Framework Based on Heterogeneous Graph Learning. Guoqing He, Wenjie Ding, Yuyang Ye, Xu Cheng, Qianqian Song, Peng Cao |
| 2024 | An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Cheng-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu |
| 2024 | Asynchronous Batch Constrained Multi-Objective Bayesian Optimization for Analog Circuit Sizing. Xuyang Zhao, Zhaori Bi, Changhao Yan, Fan Yang, Ye Lu, Dian Zhou, Xuan Zeng |
| 2024 | Automated synthesis of mixed-signal ML inference hardware under accuracy constraints. Kishor Kunal, Jitesh Poojary, S. Ramprasath, Ramesh Harjani, Sachin S. Sapatnekar |
| 2024 | BFP-CIM: Data-Free Quantization with Dynamic Block-Floating-Point Arithmetic for Energy-Efficient Computing-In-Memory-based Accelerator. Cheng-Yang Chang, Chi-Tse Huang, Yu-Chuan Chuang, Kuang-Chao Chou, An-Yeu Andy Wu |
| 2024 | BNN-Flip: Enhancing the Fault Tolerance and Security of Compute-in-Memory Enabled Binary Neural Network Accelerators. Akul Malhotra, Chunguang Wang, Sumeet Kumar Gupta |
| 2024 | Beyond Time-Quantum: A Basic-Block FDA Approach for Accurate System Computing Performance Estimation. Hsuan-Yi Lin, Ren-Song Tsay |
| 2024 | BoCNT: A Bayesian Optimization Framework for Global CNT Interconnect Optimization. Hang Wu, Ning Xu, Wei W. Xing, Yuanqing Cheng |
| 2024 | BoostIID: Fault-agnostic Online Detection of WCET Changes in Autonomous Driving. Saehanseul Yi, Nikil D. Dutt |
| 2024 | Boosting Graph Spectral Sparsification via Parallel Sparse Approximate Inverse of Cholesky Factor. Baiyu Chen, Zhiqiang Liu, Yibin Zhang, Wenjian Yu |
| 2024 | Booth-NeRF: An FPGA Accelerator for Instant-NGP Inference with Novel Booth-Multiplier. Zihang Ma, Zeyu Li, Yuanfang Wang, Yu Li, Jun Yu, Kun Wang |
| 2024 | Bridge-NDP: Achieving Efficient Communication-Computation Overlap in Near Data Processing with Bridge Architecture. Liyan Chen, Jianfei Jiang, Qin Wang, Zhigang Mao, Naifeng Jing |
| 2024 | Bridging the Design Methodologies of Burst-Mode Specifications and Signal Transition Graphs. Alex Chan, Danil Sokolov, Victor Khomenko, Alex Yakovlev |
| 2024 | CANSim: When to Utilize Synchronous and Asynchronous Routers in Large and Complex NoCs. Tom Glint, Manu Awasthi, Joycee Mekie |
| 2024 | CIS: Conditional Importance Sampling for Yield Optimization of Analog and SRAM Circuits. Yanfang Liu, Wei W. Xing |
| 2024 | CTQr: Control and Timing-Aware Qubit Routing. Ching-Yao Huang, Wai-Kei Mak |
| 2024 | Challenges and Opportunities to Enable Large-Scale Computing via Heterogeneous Chiplets. Zhuoping Yang, Shixin Ji, Xingzhen Chen, Jinming Zhuang, Weifeng Zhang, Dharmesh Jani, Peipei Zhou |
| 2024 | Chipletizer: Repartitioning SoCs for Cost-Effective Chiplet Integration. Fuping Li, Ying Wang, Yujie Wang, Mengdi Wang, Yinhe Han, Huawei Li, Xiaowei Li |
| 2024 | CoPlace: Coherent Placement Engine with Layout-aware Partitioning for 3D ICs. Bangqi Fu, Lixin Liu, Yang Sun, Wing Ho Lau, Martin D. F. Wong, Evangeline F. Y. Young |
| 2024 | Collaborative Coalescing of Redundant Memory Access for GPU System. Fan Jiang, Chengeng Li, Wei Zhang, Jiang Xu |
| 2024 | ConvFIFO: A Crossbar Memory PIM Architecture for ConvNets Featuring First-In-First-Out Dataflow. Liang Zhao, Yu Qian, Fanzi Meng, Xiapeng Xu, Xunzhao Yin, Cheng Zhuo |
| 2024 | DeepIC3: Guiding IC3 Algorithms by Graph Neural Network Clause Prediction. Guangyu Hu, Jianheng Tang, Changyuan Yu, Wei Zhang, Hongce Zhang |
| 2024 | DeepIncept: Diversify Performance Counters with Deep Learning to Detect Malware. Zhuoran Li, Dan Zhao |
| 2024 | Design of Aging-Robust Clonable PUF Using an Insulator-Based ReRAM for Organic Circuits. Kunihiro Oshima, Kazunori Kuribara, Takashi Sato |
| 2024 | E2E-Check: End to End GPU-Accelerated Design Rule Checking with Novel Mask Boolean Algorithms. Yifei Zhou, Zijian Wang, Chao Wang |
| 2024 | Effective Analytical Placement for Advanced Hybrid-Row-Height Circuit Designs. Yuan Wen, Benchao Zhu, Zhifeng Lin, Jianli Chen |
| 2024 | Efficient Sublogic-Cone-Based Switching Activity Estimation using Correlation Factor. Kexin Zhu, Runjie Zhang, Qing He |
| 2024 | Exact Scheduling to Minimize Off-Chip Data Movement for Deep Learning Accelerators. Yi Li, Aarti Gupta, Sharad Malik |
| 2024 | Exploiting 2.5D/3D Heterogeneous Integration for AI Computing. Zhenyu Wang, Jingbo Sun, A. Alper Goksoy, Sumit K. Mandal, Yaotian Liu, Jae-sun Seo, Chaitali Chakrabarti, Ümit Y. Ogras, Vidya A. Chhabria, Jeff Zhang, Yu Cao |
| 2024 | Extending Neural Processing Unit and Compiler for Advanced Binarized Neural Networks. Minjoon Song, Faaiz Asim, Jongeun Lee |
| 2024 | FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models : (Invited Paper). Ruiyang Qin, Yuting Hu, Zheyu Yan, Jinjun Xiong, Ahmed Abbasi, Yiyu Shi |
| 2024 | FPGA-Based HPC for Associative Memory System. Deyu Wang, Yuning Wang, Yu Yang, Dimitrios Stathis, Ahmed Hemani, Anders Lansner, Jiawei Xu, Li-Rong Zheng, Zhuo Zou |
| 2024 | Fast Cell Library Characterization for Design Technology Co-Optimization Based on Graph Neural Networks. Tianliang Ma, Zhihui Deng, Xuguang Sun, Leilai Shao |
| 2024 | FineMap: A Fine-grained GPU-parallel LUT Mapping Engine. Tianji Liu, Lei Chen, Xing Li, Mingxuan Yuan, Evangeline F. Y. Young |
| 2024 | Flexible Spatio-Temporal Energy-Efficient Runtime Management. Robert Khasanov, Marc Dietrich, Jerónimo Castrillón |
| 2024 | FormalFuzzer: Formal Verification Assisted Fuzz Testing for SoC Vulnerability Detection. Nusrat Farzana Dipu, Muhammad Monir Hossain, Kimia Zamiri Azar, Farimah Farahmandi, Mark Tehranipoor |
| 2024 | FuseFPS: Accelerating Farthest Point Sampling with Fusing KD-tree Construction for Point Clouds. Meng Han, Liang Wang, Limin Xiao, Hao Zhang, Chenhao Zhang, Xilong Xie, Shuai Zheng, Jin Dong |
| 2024 | HOGE: Homomorphic Gate on An FPGA. Kotaro Matsuoka, Song Bian, Takashi Sato |
| 2024 | Hard Error Correction in STT-MRAM. Surendra Hemaram, Mehdi B. Tahoori, Francky Catthoor, Siddharth Rao, Sebastien Couet, Gouri Sankar Kar |
| 2024 | Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge. Weimin Fu, Shijie Li, Yifang Zhao, Haocheng Ma, Raj Gautam Dutta, Xuan Zhang, Kaichen Yang, Yier Jin, Xiaolong Guo |
| 2024 | Hardware-Software Co-Design of a Collaborative DNN Accelerator for 3D Stacked Memories with Multi-Channel Data. Tom Glint, Manu Awasthi, Joycee Mekie |
| 2024 | Heterogeneous Graph Attention Network Based Statistical Timing Library Characterization with Parasitic RC Reduction. Xu Cheng, Yuyang Ye, Guoqing He, Qianqian Song, Peng Cao |
| 2024 | HomeSGN: A Smarter Home with Novel Rule Mining Enabled by a Scorer-Generator GAN. Zehua Yuan, Junhao Pan, Xiaofan Zhang, Deming Chen |
| 2024 | HybMT: Hybrid Meta-Predictor based ML Algorithm for Fast Test Vector Generation. Shruti Pandey, Jayadeva, Smruti R. Sarangi |
| 2024 | HyperFeel: An Efficient Federated Learning Framework Using Hyperdimensional Computing. Haomin Li, Fangxin Liu, Yichi Chen, Li Jiang |
| 2024 | ISOP-Yield: Yield-Aware Stack-Up Optimization for Advanced Package using Machine Learning. Hyunsu Chae, Keren Zhu, Bhyrav Mutnury, Zixuan Jiang, Daniel De Araujo, Douglas Wallace, Douglas Winterberg, Adam R. Klivans, David Z. Pan |
| 2024 | In Medio Stat Virtus*: Combining Boolean and Pattern Matching. Gianluca Radi, Alessandro Tempia Calvino, Giovanni De Micheli |
| 2024 | Invited Paper: Software/Hardware Co-design for LLM and Its Application for Design Verification. Lily Jiaxin Wan, Yingbing Huang, Yuhong Li, Hanchen Ye, Jinghua Wang, Xiaofan Zhang, Deming Chen |
| 2024 | JustQ: Automated Deployment of Fair and Accurate Quantum Neural Networks. Ruhan Wang, Fahiz Baba-Yara, Fan Chen |
| 2024 | KalmanHD: Robust On-Device Time Series Forecasting with Hyperdimensional Computing. Ivannia Gomez Moreno, Xiaofan Yu, Tajana Rosing |
| 2024 | LIPSTICK: Corruptibility-Aware and Explainable Graph Neural Network-based Oracle-Less Attack on Logic Locking. Yeganeh Aghamohammadi, Amin Rezaei |
| 2024 | LOOPLock 3.0: A Robust Cyclic Logic Locking Approach. Pei-Pei Chen, Xiang-Min Yang, Yu-Cheng He, Yung-Chih Chen, Yi-Ting Li, Chun-Yao Wang |
| 2024 | LOSSS-Logic Synthesis based on Several Stateful logic gates for high time-efficient computing. Yihong Hu, Nuo Xu, Chaochao Feng, Wei Tong, Kang Liu, Liang Fang |
| 2024 | LSTP: A Logic Synthesis Timing Predictor. Haisheng Zheng, Zhuolun He, Fangzhou Liu, Zehua Pei, Bei Yu |
| 2024 | LayNet: Layout Size Prediction for Memory Design Using Graph Neural Networks in Early Design Stage. Hye Rim Ji, Jong Seong Kim, Jung Yun Choi, Jee Hyong Lee |
| 2024 | Logic Design of Neural Networks for High-Throughput and Low-Power Applications. Kangwei Xu, Grace Li Zhang, Ulf Schlichtmann, Bing Li |
| 2024 | Logic Locking over TFHE for Securing User Data and Algorithms. Kohei Suemitsu, Kotaro Matsuoka, Takashi Sato, Masanori Hashimoto |
| 2024 | MACRO: Multi-agent Reinforcement Learning-based Cross-layer Optimization of Operational Amplifier. Zihao Chen, Songlei Meng, Fan Yang, Li Shang, Xuan Zeng |
| 2024 | MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks. Ruokai Yin, Yuhang Li, Abhishek Moitra, Priyadarshini Panda |
| 2024 | Machine Learning and GPU Accelerated Sparse Linear Solvers for Transistor-Level Circuit Simulation: A Perspective Survey (Invited Paper). Zhou Jin, Wenhao Li, Yinuo Bai, Tengcheng Wang, Yicheng Lu, Weifeng Liu |
| 2024 | Meeting Job-Level Dependencies by Task Merging. Matthias Becker |
| 2024 | MemSPICE: Automated Simulation and Energy Estimation Framework for MAGIC-Based Logic-in-Memory. Simranjeet Singh, Chandan Kumar Jha, Ankit Bende, Vikas Rana, Sachin B. Patkar, Rolf Drechsler, Farhad Merchant |
| 2024 | Microscope: Causality Inference Crossing the Hardware and Software Boundary from Hardware Perspective. Zhaoxiang Liu, Kejun Chen, Dean Sullivan, Orlando Arias, Raj Gautam Dutta, Yier Jin, Xiaolong Guo |
| 2024 | Modeling of Tamper Resistance to Electromagnetic Side-channel Attacks on Voltage-scaled Circuits. Kazuki Minamiguchi, Yoshihiro Midoh, Noriyuki Miura, Jun Shiomi |
| 2024 | Multiplierless Design of High-Speed Very Large Constant Multiplications. Levent Aksoy, Debapriya Basu Roy, Malik Imran, Samuel Pagliarini |
| 2024 | Nested Dissection Based Parallel Transient Power Grid Analysis on Public Cloud Virtual Machines. Jiawen Cheng, Zhiqiang Liu, Lingjie Li, Wenjian Yu |
| 2024 | O.O: Optimized One-die Placement for Face-to-face Bonded 3D ICs. Xingyu Tong, Zhijie Cai, Peng Zou, Min Wei, Yuan Wen, Zhifeng Lin, Jianli Chen |
| 2024 | OSA-HCIM: On-The-Fly Saliency-Aware Hybrid SRAM CIM with Dynamic Precision Configuration. Yung-Chin Chen, Shimpei Ando, Daichi Fujiki, Shinya Takamaeda-Yamazaki, Kentaro Yoshioka |
| 2024 | On Decomposing Complex Test Cases for Efficient Post-silicon Validation. C. Harshitha, Sundarapalli Harikrishna, Peddakotla Rohith, Sandeep Chandran, Rajshekar Kalayappan |
| 2024 | Optimizing Decision Diagrams for Measurements of Quantum Circuits. Ryosuke Matsuo, Rudy Raymond, Shigeru Yamashita, Shin-ichi Minato |
| 2024 | Overlapping Aware Zone Allocation for LSM Tree-Based Store on ZNS SSDs. Jingcheng Shen, Lang Yang, Linbo Long, Renping Liu, Zhenhua Tan, Congming Gao, Yi Jiang |
| 2024 | P2LSG: Powers-of-2 Low-Discrepancy Sequence Generator for Stochastic Computing. Mehran Shoushtari Moghadam, Sercan Aygun, Mohsen Riahi Alam, M. Hassan Najafi |
| 2024 | PAAP-HD: PIM-Assisted Approximation for Efficient Hyper-Dimensional Computing. Fangxin Liu, Haomin Li, Ning Yang, Yichi Chen, Zongwu Wang, Tao Yang, Li Jiang |
| 2024 | PAIR: Periodically Alternate the Identity of Routers to Ensure Deadlock Freedom in NoC. Zifeng Zhao, Xinghao Zhu, Jiyuan Bai, Gengsheng Chen |
| 2024 | PIONEER: Highly Efficient and Accurate Hyperdimensional Computing using Learned Projection. Fatemeh Asgarinejad, Justin Morris, Tajana Rosing, Baris Aksanli |
| 2024 | PRESS: Persistence Relaxation for Efficient and Secure Data Sanitization on Zoned Namespace Storage : (Invited Paper). Yun-Shan Hsieh, Bo-Jun Chen, Po-Chun Huang, Yuan-Hao Chang |
| 2024 | PRIMATE: Processing in Memory Acceleration for Dynamic Token-pruning Transformers. Yue Pan, Minxuan Zhou, Chonghan Lee, Zheyu Li, Rishika Kushwah, Vijaykrishnan Narayanan, Tajana Rosing |
| 2024 | Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting. Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Shiqing Li, Guochu Xiong, Weichen Liu |
| 2024 | Performance-Driven Analog Layout Automation: Current Status and Future Directions (Invited Paper). Peng Xu, Jintao Li, Tsung-Yi Ho, Bei Yu, Keren Zhu |
| 2024 | Physics-Informed Learning for EPG-Based TDDB Assessment. Dinghao Chen, Wenjie Zhu, Xiaoman Yang, Pengpeng Ren, Zhigang Ji, Hai-Bao Chen |
| 2024 | Physics-Informed Learning for Versatile RRAM Reset and Retention Simulation. Tianshu Hou, Yuan Ren, Wenyong Zhou, Can Li, Zhongrui Wang, Hai-Bao Chen, Ngai Wong |
| 2024 | PipeFuser: Building Flexible Pipeline Architecture for DNN Accelerators via Layer Fusion. Xilang Zhou, Shuyang Li, Haodong Lu, Kun Wang |
| 2024 | Power Side-Channel Analysis and Mitigation for Neural Network Accelerators based on Memristive Crossbars. Brojogopal Sapui, Mehdi B. Tahoori |
| 2024 | Proceedings of the 29th Asia and South Pacific Design Automation Conference, ASPDAC 2024, Incheon, Korea, January 22-25, 2024 |
| 2024 | QcAssert: Quantum Device Testing with Concurrent Assertions. Hasini Witharana, Daniel Volya, Prabhat Mishra |
| 2024 | QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks. Chenhui Xu, Fuxun Yu, Zirui Xu, Chenchen Liu, Jinjun Xiong, Xiang Chen |
| 2024 | Quantization-aware Optimization Approach for CNNs Inference on CPUs. Jiasong Chen, Zeming Xie, Weipeng Liang, Bosheng Liu, Xin Zheng, Jigang Wu, Xiaoming Xiong |
| 2024 | READ-based In-Memory Computing using Sentential Decision Diagrams. Sven Thijssen, Muhammad Rashedul Haq Rashed, Sumit Kumar Jha, Rickard Ewetz |
| 2024 | RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model. Yao Lu, Shang Liu, Qijun Zhang, Zhiyao Xie |
| 2024 | Reinforcing the Connection between Analog Design and EDA (Invited Paper). Kishor Kunal, Meghna Madhusudan, Jitesh Poojary, S. Ramprasath, Arvind K. Sharma, Ramesh Harjani, Sachin S. Sapatnekar |
| 2024 | Resource- and Workload-aware Malware Detection through Distributed Computing in IoT Networks. Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao |
| 2024 | RobustDiCE: Robust and Distributed CNN Inference at the Edge. Xiaotian Guo, Quan Jiang, Andy D. Pimentel, Todor P. Stefanov |
| 2024 | Row Planning and Placement for Hybrid-Row-Height Designs. Ching-Yao Huang, Wai-Kei Mak |
| 2024 | Run-time Non-uniform Quantization for Dynamic Neural Networks in Wireless Communication. Priscilla Sharon Allwin, Manil Dev Gomony, Marc Geilen |
| 2024 | SCNoCs: An Adaptive Heterogeneous Multi-NoC with Selective Compression and Power Gating. Fan Jiang, Chengeng Li, Lin Chen, Jiaqi Liu, Wei Zhang, Jiang Xu |
| 2024 | SOLSA: Neuromorphic Spatiotemporal Online Learning for Synaptic Adaptation. Zhenhang Zhang, Jingang Jin, Haowen Fang, Qinru Qiu |
| 2024 | SPIRAL: Signal-Power Integrity Co-Analysis for High-Speed Inter-Chiplet Serial Links Validation. Xiao Dong, Songyu Sun, Yangfan Jiang, Jingtong Hu, Dawei Gao, Cheng Zhuo |
| 2024 | SWAT: An Efficient Swin Transformer Accelerator Based on FPGA. Qiwei Dong, Xiaoru Xie, Zhongfeng Wang |
| 2024 | Secco: Codesign for Resource Sharing in Regular-Expression Accelerators. Jackson Woodruff, Sam Ainsworth, Michael F. P. O'Boyle |
| 2024 | Security Coverage Metrics for Information Flow at the System Level. Ece Nur Demirhan Coskun, Sallar Ahmadi-Pour, Muhammad Hassan, Rolf Drechsler |
| 2024 | Sensors for Remote Power Attacks: New Developments and Challenges. Brian Udugama, Darshana Jayasinghe, Sri Parameswaran |
| 2024 | Signature Driven Post-Manufacture Testing and Tuning of RRAM Spiking Neural Networks for Yield Recovery. Anurup Saha, Chandramouli N. Amarnath, Kwondo Ma, Abhijit Chatterjee |
| 2024 | Signed Convolution in Photonics with Phase-Change Materials using Mixed-Polarity Bitstreams. Raphael Cardoso, Clément Zrounba, Mohab Abdalla, Paul Jiménez, Mauricio Gomes de Queiroz, Benoît Charbonnier, Fabio Pavanello, Ian O'Connor, Sébastien Le Beux |
| 2024 | SoC-Tuner: An Importance-guided Exploration Framework for DNN-targeting SoC Design. Shixin Chen, Su Zheng, Chen Bai, Wenqian Zhao, Shuo Yin, Yang Bai, Bei Yu |
| 2024 | SparGNN: Efficient Joint Feature-Model Sparsity Exploitation in Graph Neural Network Acceleration. Chen Yin, Jianfei Jiang, Qin Wang, Zhigang Mao, Naifeng Jing |
| 2024 | Sparse-Sparse Matrix Multiplication Accelerator on FPGA featuring Distribute-Merge Product Dataflow. Yuta Nagahara, Jiale Yan, Kazushi Kawamura, Masato Motomura, Thiem Van Chu |
| 2024 | TEAS: Exploiting Spiking Activity for Temporal-wise Adaptive Spiking Neural Networks. Fangxin Liu, Haomin Li, Ning Yang, Zongwu Wang, Tao Yang, Li Jiang |
| 2024 | TIUP: Effective Processor Verification with Tautology-Induced Universal Properties. Yufeng Li, Yiwei Ci, Qiusong Yang |
| 2024 | TQ-TTFS: High-Accuracy and Energy-Efficient Spiking Neural Networks Using Temporal Quantization Time-to-First-Spike Neuron. Yuxuan Yang, Zihao Xuan, Yi Kang |
| 2024 | TSTC: Enabling Efficient Training via Structured Sparse Tensor Compilation. Shiyuan Huang, Fangxin Liu, Tian Li, Zongwu Wang, Haomin Li, Li Jiang |
| 2024 | The Need for Speed: Efficient Exact Simulation of Silicon Dangling Bond Logic. Jan Drewniok, Marcel Walter, Robert Wille |
| 2024 | The Optimal Quantum of Temporal Decoupling. Niko Zurstraßen, Ruben Brandhofer, José Cubero-Cascante, Nils Bosbach, Lukas Jünger, Rainer Leupers |
| 2024 | Theoretical Patchability Quantification for IP-Level Hardware Patching Designs. Wei-Kai Liu, Benjamin Tan, Jason M. Fung, Krishnendu Chakrabarty |
| 2024 | Timing Analysis beyond Complementary CMOS Logic Styles. Jan Lappas, Mohamed Amine Riahi, Christian Weis, Norbert Wehn, Sani R. Nassif |
| 2024 | Toward End-to-End Analog Design Automation with ML and Data-Driven Approaches (Invited Paper). Supriyo Maji, Ahmet Faruk Budak, Souradip Poddar, David Z. Pan |
| 2024 | Towards Area-Efficient Path-Based In-Memory Computing using Graph Isomorphisms. Sven Thijssen, Muhammad Rashedul Haq Rashed, Hao Zheng, Sumit Kumar Jha, Rickard Ewetz |
| 2024 | Towards Automated Generation of Chiplet-Based Systems Invited Paper. Ankur Limaye, Claudio Barone, Nicolas Bohm Agostini, Marco Minutoli, Joseph B. Manzano, Vito Giovanni Castellana, Giovanni Gozzi, Michele Fiorito, Serena Curzel, Fabrizio Ferrandi, Antonino Tumeo |
| 2024 | Towards Automated Testing of Multiplexers in Fully Programmable Valve Array Biochips. Genggeng Liu, Yuqin Zeng, Yuhan Zhu, Huayang Cai, Wenzhong Guo, Zipeng Li, Tsung-Yi Ho, Xing Huang |
| 2024 | Towards Finding the Sources of Polymorphism in Polymorphic Gates (Invited). Timothy Dunlap, Zelin Lu, Gang Qu |
| 2024 | Towards Multiphase Clocking in Single-Flux Quantum Systems. Rassul Bairamkulov, Giovanni De Micheli |
| 2024 | Towards a Highly Interactive Design-Debug-Verification Cycle. Lucas Klemmer, Daniel Große |
| 2024 | TransFRU: Efficient Deployment of Transformers on FPGA with Full Resource Utilization. Hongji Wang, Yueyin Bai, Jun Yu, Kun Wang |
| 2024 | TransPlace: A Scalable Transistor-Level Placer for VLSI Beyond Standard-Cell-Based Design. Chen-Hao Hsu, Xiaoqing Xu, Hao Chen, Dino Ruic, David Z. Pan |
| 2024 | Transduction Method for AIG Minimization. Yukio Miyasaka |
| 2024 | Using Boolean Satisfiability for Exact Shuttling in Trapped-Ion Quantum Computers. Daniel Schönberger, Stefan Hillmich, Matthias Brandl, Robert Wille |
| 2024 | V-GR: 3D Global Routing with Via Minimization and Multi-Strategy Rip-up and Rerouting. Ping Zhang, Pengju Yao, Xingquan Li, Bei Yu, Wenxing Zhu |
| 2024 | Variational Label-Correlation Enhancement for Congestion Prediction. Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang |
| 2024 | Verifying Embedded Graphics Libraries leveraging Virtual Prototypes and Metamorphic Testing. Christoph Hazott, Florian Stögmüller, Daniel Große |
| 2024 | WER: Maximizing Parallelism of Irregular Graph Applications Through GPU Warp EqualizeR. En-Ming Huang, Bo-Wun Cheng, Meng-Hsien Lin, Chun-Yi Lee, Tsung Tai Yeh |
| 2024 | YoseUe: "trimming" Random Forest's training towards resource-constrained inference. Alessandro Verosimile, Alessandro Tierno, Andrea Damiani, Marco D. Santambrogio |
| 2024 | ZEBRA: A Zero-Bit Robust-Accumulation Compute-In-Memory Approach for Neural Network Acceleration Utilizing Different Bitwise Patterns. Yiming Chen, Guodong Yin, Hongtao Zhong, Mingyen Lee, Huazhong Yang, Sumitha George, Vijaykrishnan Narayanan, Xueqing Li |
| 2024 | d-GUARD: Thwarting Denial-of-Service Attacks via Hardware Monitoring of Information Flow using Language Semantics in Embedded Systems. Garett Cunningham, Harsha Chenji, David Juedes, Avinash Karanth |
| 2024 | iEDA: An Open-source infrastructure of EDA. Xingquan Li, Zengrong Huang, Simin Tao, Zhipeng Huang, Chunan Zhuang, Hao Wang, Yifan Li, Yihang Qiu, Guojie Luo, Huawei Li, Haihua Shen, Mingyu Chen, Dongbo Bu, Wenxing Zhu, Ye Cai, Xiaoming Xiong, Ying Jiang, Yi Heng, Peng Zhang, Bei Yu, Biwei Xie, Yungang Bao |
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