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| 2025 | 333-eDRAM - 3T Embedded DRAM Leveraging Monolithic 3D Integration of 3 Transistor Types: IGZO, Carbon Nanotube and Silicon FETs. David Kong, Shvetank Prakash, Jedrzej Kufel, Georgios Kyriazidis, Yasmine Omri, David Verity, Emre Ozer, Vijay Janapa Reddi, Gage Hills |
| 2025 | 3D-CIMlet: A Chiplet Co-Design Framework for Heterogeneous In-Memory Acceleration of Edge LLM Inference and Continual Learning. Shuting Du, Luqi Zheng, Aradhana Mohan Parvathy, Feifan Xie, Tiwei Wei, Anand Raghunathan, Haitong Li |
| 2025 | 3D-Flow: Flow-based Standard Cell Legalization for 3D ICs. Yuxuan Zhao, Peiyu Liao, Bei Yu |
| 2025 | 3D-SubG: A 3D Stacked Hybrid Processing Near/In-Memory Accelerator for Subgraph GNNs. Guoxiang Li, Runnan Xu, Ruohang Xu, Yikan Qiu, Renati Tuerhong, Muhan Zhang, Le Ye, Yufei Ma |
| 2025 | 3D-TokSIM: Stacking 3D Memory with Token-Stationary Compute-in-Memory for Speculative LLM Inference. Wentao Zhao, Boya Lv, Meng Wu, Peiyu Chen, Fengyun Yan, Yufei Ma, Tianyu Jia, Ru Huang, Le Ye |
| 2025 | 62nd ACM/IEEE Design Automation Conference, DAC 2025, San Francisco, CA, USA, June 22-25, 2025 |
| 2025 | A Cross-model Fusion-aware Framework for Optimizing (gather-matmul-scatter)s Workload. Yaoxiu Lian, Zhihong Gou, Yibo Han, Zhongming Yu, Jiaming Xu, Sheng Yuan, Zhilin Pei, Xingcheng Zhang, Ningyi Xu, Guohao Dai |
| 2025 | A Cutting-Edge Parallel Solver for Scalable Power Grid Analysis Using Nested Domain Decomposition. Jianfei Song, Xiaoyu Yang, Zhou Jin, Cheng Zhuo |
| 2025 | A Data-Centric Hardware Accelerator for Efficient Adaptive Radix Tree. Jin Zhao, Yu Zhang, Jun Huang, Weihang Yin, Hui Yu, Hao Qi, Zixiao Wang, Longlong Lin, Xiaofei Liao, Hai Jin |
| 2025 | A Fast, Iterative Clock Skew Scheduling Algorithm with Dynamic Sequential Graph Extraction. Shijian Chen, Yihang Qiu, Biwei Xie, Mingyu Chen, Xingquan Li |
| 2025 | A Full-system, Programmable, and Extensible In-Memory Computing Simulation Framework for Deep Learning. Kaining Zhou, Jian Huang, Nam Sung Kim, Naresh Shanbhag |
| 2025 | A High-Precision and Low-Cost Approximate Transform Accelerator for Video Coding. Zhijian Hao, Jiaming Liu, Chenlong He, Qi Zheng, ShuShi Chen, Jinchang Xu, Yue Hao, Xiao Yan, Xiaohua Ma |
| 2025 | A Memory-Efficient LLM Accelerator with Q-K Correlation Prediction using Cluster-Based Associative Array for Selective KV Accessing. Zikang Zhou, Kaiqi Chen, Xuyang Duan, Jun Han |
| 2025 | A Mixed-Signal Photonic SRAM-based High-Speed Energy-Efficient Photonic Tensor Core with Novel Electro-Optic ADC. Md. Abdullah-Al Kaiser, Sugeet Sunder, Ajey P. Jacob, Akhilesh R. Jaiswal |
| 2025 | A Novel Covert Timing Channel for Cloud FPGAs. Brian Udugama, Darshana Jayasinghe, Hassaan Saadat, Aleksandar Ignjatovic, Sri Parameswaran |
| 2025 | A Novel Image-Graph Heterogeneous Fusion Framework for Static IR Drop Prediction. Dan Niu, Dekang Zhang, Yichao Cao, Zhou Jin, Chao Wang, Yichao Dong, Changyin Sun |
| 2025 | A Post-Implementation Performance Prediction Method with HLS Optimization Directives. Jingyu Zhu, Yan Ding, Lu Xiao, Kenli Li, Chubo Liu, Zheng Xiao |
| 2025 | A PulseWidth-IN-PulseWidth-Out Universal Nonlinear Processing Element for Time-Domain In-Memory Computing Systems. Yihao Chen, Pengcheng Feng, Zhigang Li, Gang Chen, Rongxuan Shen, Huaxiang Lu, Xiaoxin Xu |
| 2025 | A Scalable and Robust Compilation Framework for Emitter-Photonic Graph State. Xiangyu Ren, Yuexun Huang, Zhiding Liang, Antonio Barbalace |
| 2025 | A Systematic Approach for Multi-objective Double-side Clock Tree Synthesis. Xun Jiang, Haoran Lu, Yuxuan Zhao, Jiarui Wang, Zizheng Guo, Heng Wu, Bei Yu, Sung Kyu Lim, Runsheng Wang, Ru Huang, Yibo Lin |
| 2025 | AARC: Automated Affinity-aware Resource Configuration for Serverless Workflows. Lingxiao Jin, Zinuo Cai, Zebin Chen, Hongyu Zhao, Ruhui Ma |
| 2025 | AASD: Accelerate Inference by Aligning Speculative Decoding in Multimodal Large Language Models. Chaoqun Yang, Ran Chen, Muyang Zhang, Weiguang Pang, Yuzhi Chen, Rongtao Xu, Kexue Fu, Changwei Wang, Longxiang Gao |
| 2025 | ABC-FHE: A Resource-Efficient Accelerator Enabling Bootstrappable Parameters for Client-Side Fully Homomorphic Encryption. Sungwoong Yune, Hyojeong Lee, Adiwena Putra, Hyunjun Cho, Cuong Duong Manh, Jaeho Jeon, Joo-Young Kim |
| 2025 | ACIM-QMM: Efficient Analog Computing-in-Memory Accelerator for QC-MDPC McEliece Cryptosystem. Pingdan Xiao, Zhengmiao Wei, Sichun Du, Wanli Chang, Qinghui Hong |
| 2025 | ACRS: Adjacent Computation Resource Sharing among Partitioned GPU Sub-Cores. Penghao Song, Chongxi Wang, Chenji Han, Haoyu Zhao, Tingting Zhang, Tianyi Liu, Jian Wang |
| 2025 | ADVISOR: Approximate Computing-frienDly High-LeVel Synthesis DesIgn Space ExplORer. Baharealsadat Parchamdar, Benjamin Carrión Schäfer |
| 2025 | ADVeRL-ELF: ADVersarial ELF Malware Generation using Reinforcement Learning. Akshara Ravi, Vivek Chaturvedi, Muhammad Shafique |
| 2025 | ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads. Fangxin Liu, Haomin Li, Zongwu Wang, Bo Zhang, Mingzhe Zhang, Shoumeng Yan, Li Jiang, Haibing Guan |
| 2025 | ANGraph: A GNN-Based Performance Prediction Framework for Asynchronous Neuromorphic Hardware. Yuan Hua, Jian Zhang, Jilin Zhang, Xiang Zhang, Hong Chen |
| 2025 | APSQ: Additive Partial Sum Quantization with Algorithm-Hardware Co-Design. Yonghao Tan, Pingcheng Dong, Yongkun Wu, Yu Liu, Xuejiao Liu, Peng Luo, Shih-Yang Liu, Xijie Huang, Dong Zhang, Luhong Liang, Kwang-Ting Cheng |
| 2025 | ARCANE: Adaptive RISC-V Cache Architecture for Near-memory Extensions. Vincenzo Petrolo, Flavia Guella, Michele Caon, Pasquale Davide Schiavone, Guido Masera, Maurizio Martina |
| 2025 | ASRR-PINN: Adaptive Sub-Regional Random Resampling-Based PINN for Thermal Analysis of 3D-ICs. Zijian Zhou, Min Tang, Liang Chen |
| 2025 | ATLAS: A Self-Supervised and Cross-Stage Netlist Power Model for Fine-Grained Time-Based Layout Power Analysis. Wenkai Li, Yao Lu, Wenji Fang, Jing Wang, Qijun Zhang, Zhiyao Xie |
| 2025 | Accelerating design-technology co-development using neural compact modeling and data-driven SPICE simulation. Yongjeong Lee, Seungsoo Lee, Jeongyeol Kim, Jungyun Choi, Zhaojie Li, Dehuang Wu, Joddy Wang |
| 2025 | AcclMT: A Highly Resource-Efficient and Flexible Poseidon Hash-Based Merkle Tree Architecture. Changxu Liu, Hao Zhou, Lan Yang, Yifei Feng, Zheng Wu, Zhuoyuan Yang, Yinlong Li, Shiyong Wu, Fan Yang |
| 2025 | Accuracy Is Not Always We Need: Precision-Aware Bayesian Yield Optimization. Jing Kou, Zidong Chen, Liang Zhang, Haiyan Qin, Wang Kang, Wei W. Xing |
| 2025 | Adora Compiler: End-to-End Optimization for High-Efficiency Dataflow Acceleration and Task Pipelining on CGRAs. Jiahang Lou, Qilong Zhu, Yuan Dai, Zewei Zhong, Wenbo Yin, Lingli Wang |
| 2025 | AdreamDCO: AI-Driven Robust and Efficient Design Automation for Digitally Controlled Oscillators. Yaolong Hu, Hao Guo, Shikai Wang, Jiaqi Liu, Weidong Cao, Taiyun Chi |
| 2025 | Age-of-Information Minimization for Data Aggregation in Energy-Harvesting IoTs. Bingkun Yao, Mun Choon Chan, Hong Gao, Zhe Jiang, Nan Guan |
| 2025 | All-in-Memory Stochastic Computing using ReRAM. João Paulo C. de Lima, Mehran Shoushtari Moghadam, Sercan Aygun, Jerónimo Castrillón, M. Hassan Najafi, Asif Ali Khan |
| 2025 | AmpereBleed: Exploiting On-chip Current Sensors for Circuit-Free Attacks on ARM-FPGA SoCs. Xin Zhang, Yi Yang, Jiajun Zou, Qingni Shen, Zhi Zhang, Yansong Gao, Zhonghai Wu, Trevor E. Carlson |
| 2025 | An Algorithm-Hardware Co-design Based on Revised Microscaling Format Quantization for Accelerating Large Language Models. Yingbo Hao, Huangxu Chen, Yi Zou, Yanfeng Yang |
| 2025 | An Efficient Bit-level Sparse MAC-accelerated Architecture with SW/HW Co-design on FPGA. Chenming Zhang, Lei Gong, Chao Wang, Xuehai Zhou |
| 2025 | An Efficient Compute-in-Memory based Accelerator for Point-based Point Cloud Neural Networks. Xipeng Lin, Cong Wang, Shanshi Huang, Hongwu Jiang |
| 2025 | An Energy-Efficient High-Utilization Hardware Architecture for Attention Mechanism in Transformer using Balanced Systolic Array and Multi-Row Interleaved Operation Ordering. Haiyang Zhou, Hongyang Hu, Jinshan Yue, Hanghang Gao, Yuanlu Xie, Xiaoxin Xu, Chunmeng Dou, Ming Liu |
| 2025 | An Energy-Efficient Kalman Filter Architecture with Tunable Accuracy for Brain-Computer Interfaces. Guy Eichler, Joseph Zuckerman, Luca P. Carloni |
| 2025 | An Enhanced Data Packing Method for General Matrix Multiplication in Brakerski/Fan-Vercauteren Scheme. Xiangchen Meng, Yan Tan, Zijun Jiang, Yangdi Lyu |
| 2025 | An Input-Aware Sparse Tensor Compiler Empowered by Vectorized Acceleration. Xianhao He, Haotian Wang, Jiapeng Zhang, Wangdong Yang, Anthony Theodore Chronopoulos, Kenli Li |
| 2025 | Anchor First, Accelerate Next: Revolutionizing GNNs with PIM by Harnessing Stationary Data. Jiaxian Chen, Yuxuan Qi, Yongbiao Zhu, Jianan Yuan, Kaoyi Sun, Tianyu Wang, Chenlin Ma, Yi Wang |
| 2025 | Approximate SMT Counting Beyond Discrete Domains. Arijit Shaw, Kuldeep S. Meel |
| 2025 | April: Accuracy-Improved Floating-Point Approximation For Neural Network Accelerators. Yonghao Chen, Jiaxiang Zou, Xinyu Chen |
| 2025 | ArbiterQ: Improving QNN Convergency and Accuracy by Applying Personalized Model on Heterogeneous Quantum Devices. Tianyao Chu, Siwei Tan, Liqiang Lu, Jingwen Leng, Fangxin Liu, Congliang Lang, Yifan Guo, Jianwei Yin |
| 2025 | Ares: High Performance Near-Storage Accelerator for FHE-based Private Set Intersection. Haoxuan Wang, Yinghao Yang, Jinkai Zhang, Hang Lu, Xiaowei Li |
| 2025 | Assessing Quantum Layout Synthesis Tools via Known Optimal-SWAP Cost Benchmarks. Shuohao Ping, Wan-Hsuan Lin, Daniel Bochen Tan, Jason Cong |
| 2025 | Asymmetric Predictive Testing for Aging in SRAMs. Yunkun Lin, Mingye Li, Sandeep Gupta |
| 2025 | AttenPIM: Accelerating LLM Attention with Dual-mode GEMV in Processing-in-Memory. Liyan Chen, Dongxu Lyu, Zhenyu Li, Jianfei Jiang, Qin Wang, Zhigang Mao, Naifeng Jing |
| 2025 | AutoClock: Automated Clock Management for Power-Efficient HLS Designs on FPGAs. Jiawei Liang, Linfeng Du, Xiaofeng Zhou, Zhe Lin, Jiang Xu, Wei Zhang |
| 2025 | AutoPower: Automated Few-Shot Architecture-Level Power Modeling by Power Group Decoupling. Qijun Zhang, Yao Lu, Mengming Li, Zhiyao Xie |
| 2025 | AutoRE: Bayesian-Optimization-based Automatic Reliability Enhancement Tool for Flow-based Microfluidic Biochips. Siyuan Liang, Yushen Zhang, Mengchu Li, Tsun-Ming Tseng, Ulf Schlichtmann, Tsung-Yi Ho |
| 2025 | AutoSkewBMT: Autonomously Synthesizing Optimized Integrity Authentication Mechanism for DNN Accelerators. Rakin Muhammad Shadab, Sanjay Gandham, Mingjie Lin |
| 2025 | Automated Generation of Decoders for Irregular Instruction Sets Using Information-Theoretic Decision Tree Construction Algorithms. Lillian Tadros |
| 2025 | BBAL: A Bidirectional Block Floating Point-Based Quantisation Accelerator for Large Language Models. Xiaomeng Han, Yuan Cheng, Jing Wang, Junyang Lu, Hui Wang, X. x. Zhang, Ning Xu, Dawei Yang, Zhe Jiang |
| 2025 | BEVSA: A Real-Time Bird's-Eye-View Semantic Segmentation Accelerator for Multi-Camera System. Sangho Lee, Jueun Jung, Wuyoung Jang, Jihyeon Hwang, Kyuho Lee |
| 2025 | BLOOM: Bit-Slice Framework for DNN Acceleration with Mixed-Precision. Fangxin Liu, Ning Yang, Zongwu Wang, Xuanpeng Zhu, Haidong Yao, Xiankui Xiong, Li Jiang, Haibing Guan |
| 2025 | BPUFuzzer: Effective Fuzz Testing for Branching Transient Execution Vulnerabilities of RISC-V CPU. Rihui Sun, Jin Wu, Hanyin Liu, Zikang Tao, Gang Qu, Dong-Sheng Wang, Yongqiang Lyu, Jian Dong |
| 2025 | BS-PDN-Last: Towards Optimal Power Delivery Network Design With Multifunctional Backside Metal Layers. Min Gyu Park, Amaan Rahman, Sung Kyu Lim |
| 2025 | BiNeuroRAM: Energy-Efficient ReRAM-Based PIM for Accurate Bipolar Spiking Neural Network Acceleration. Jun Yan Lee, Chen Nie, Kang You, Yueyang Jia, Rui Yang, Zhezhi He |
| 2025 | BirdMoE: Reducing Communication Costs for Mixture-of-Experts Training Using Load-Aware Bi-random Quantization. Donglei Wu, Weihao Yang, Xiangyu Zou, Jinda Jia, Dingwen Tao, Wen Xia, Zhihong Tian |
| 2025 | BitPattern: Enabling Efficient Bit-Serial Acceleration of Deep Neural Networks through Bit-Pattern Pruning. Gang Wang, Siqi Cai, Zhenyu Li, Wenjie Li, Dongxu Lyu, Yanan Sun, Jianfei Jiang, Guanghui He |
| 2025 | BlasPart: A Deterministic Parallel Partitioner for Balanced Large-Scale Hypergraph Partitioning. Shengbo Tong, Chunyan Pei, Wenjian Yu |
| 2025 | Blaze: An Efficient Bit-Sparse Attention Architecture With Workload Orchestration Optimization. Runzhou Zhang, Faxian Sun, Yiming Wang, Kunchen Zou, Zhinan Qin, Jianli Chen, Jun Yu, Kun Wang |
| 2025 | BlockPIM: Optimizing Memory Management for PIM-enabled Long-Context LLM Inference. Zhichun Li, Jun Zhou, Xueqi Li, Ninghui Sun |
| 2025 | BoolE: Exact Symbolic Reasoning via Boolean Equality Saturation. Jiaqi Yin, Zhan Song, Chen Chen, Qihao Hu, Cunxi Yu |
| 2025 | Buffer Prospector: Discovering and Exploiting Untapped Buffer Resources in Many-Core DNN Accelerators. Yuchen Wei, Jingwei Cai, Mingyu Gao, Sen Peng, Zuotong Wu, Guiming Shi, Kaisheng Ma |
| 2025 | CAE-DFKD: Bridging the Transferability Gap in Data-Free Knowledge Distillation. Zherui Zhang, Changwei Wang, Rongtao Xu, Wenhao Xu, Shibiao Xu, Yu Zhang, Jie Zhou, Li Guo |
| 2025 | CHORD: Composable Hybrid Optical Reconfigurable Diffractive Framework For Optical Neural Network. Ziang Yin, Yu Yao, Jeff Zhang, Jiaqi Gu |
| 2025 | CIM-BLAS: Computing-in-Memory Accelerator for BLAS. Rui Liu, Zerun Li, Xiaoyu Zhang, Xiaoming Chen, Yinhe Han, Minghua Tang |
| 2025 | CIMFlow: An Integrated Framework for Systematic Design and Evaluation of Digital CIM Architectures. Yingjie Qi, Jianlei Yang, Yiou Wang, Yikun Wang, Dayu Wang, Ling Tang, Cenlin Duan, Xiaolin He, Weisheng Zhao |
| 2025 | CMFuzz: Parallel Fuzzing of IoT Protocols by Configuration Model Identification and Scheduling. Qi Xu, Fuchen Ma, Yuanliang Chen, Wanli Chen, Feifan Wu, Yanyang Zhao, Heyuan Shi, Yu Jiang |
| 2025 | CND-IDS: Continual Novelty Detection for Intrusion Detection Systems. Sean Fuhrman, Onat Güngör, Tajana Rosing |
| 2025 | CREST-CiM: Cross-Coupling-Enhanced Differential STT-MRAM for Robust Computing-in-Memory in Binary Neural Networks. Imtiaz Ahmed, Akul Malhotra, Sumeet Kumar Gupta |
| 2025 | CVMAX: Accelerator Architecture with Polar Form Multiplication for Complex-Valued Neural Networks. Hyunwuk Lee, Sungbin Kim, Sungwoo Kim, Won Woo Ro |
| 2025 | CXL-ECC: an Efficient LRC-based on-CXL-Memory-eXpander-Controller ECC to Enhance Reliability and Performance of DRAM Error Correction. Yixuan Liu, Yunfei Gu, Junhao Dai, Xinyuan Wu, Chentao Wu, Xinfei Guo, Jieru Zhao, Jie Li, Minyi Guo |
| 2025 | CXL-INTERPLAY: Unraveling and Characterizing CXL Interference in Modern Computer Systems. Shunyu Mao, Jiajun Luo, Yixin Li, Jiapeng Zhou, Weidong Zhang, Zheng Liu, Teng Ma, Shuwen Deng |
| 2025 | CaMDN: Enhancing Cache Efficiency for Multi-tenant DNNs on Integrated NPUs. Tianhao Cai, Liang Wang, Limin Xiao, Meng Han, Zeyu Wang, Lin Sun, Xiaojian Liao |
| 2025 | Can Short Hypervectors Drive Feature-Rich GNNs? Strengthening the Graph Representation of Hyperdimensional Computing for Memory-efficient GNNs. Jihe Wang, Yuxi Han, Danghui Wang |
| 2025 | Cayman: Custom Accelerator Generation with Control Flow and Data Access Optimization. Youwei Xiao, Fan Cui, Zizhang Luo, Weijie Peng, Yun Liang |
| 2025 | Centralized Training and Decentralized Control through the Actor-Critic Paradigm for Highly Optimized Multicores. Benedikt Dietrich, Heba Khdr, Jörg Henkel |
| 2025 | Chameleon-SAT: An Adaptive Boolean Satisfiability Accelerator Using Mixed-Signal In-Memory Computing for Versatile SAT Problems. Iris Ying Chou, Hao Kong, Yi Huang, Jianfeng Zhu, Wenping Zhu, Shaojun Wei, Aoyang Zhang, Leibo Liu |
| 2025 | ChatLS: Multimodal Retrieval-Augmented Generation and Chain-of-Thought for Logic Synthesis Script Customization. Haisheng Zheng, Haoyuan Wu, Zhuolun He |
| 2025 | ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation. Chenhui Deng, Yunsheng Bai, Haoxing Ren |
| 2025 | ChipletEM: Physics-Based 2.5D and 3D Chiplet Heterogeneous Integration Electromigration Signoff Tool Using Coupled Stress and Thermal Simulation. Zeyu Sun, Weijie Tong, Xiaoning Ma, He Cao, Jianyun Liu, Zhiqiang Li, Qinzhi Xu |
| 2025 | CirSTAG: Circuit Stability Analysis on Graph-based Manifolds. Wuxinlin Cheng, Yihang Yuan, Chenhui Deng, Ali Aghdaei, Zhiru Zhang, Zhuo Feng |
| 2025 | Clearance-Constrained PCB Global Placement with Heterogeneous Components. Yan-Jen Chen, Wei-Kai Huang, Chung-Ting Tsai, Chiao-Yu Ou, Yao-Wen Chang |
| 2025 | ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression. Guangda Liu, Chengwei Li, Jieru Zhao, Chenqi Zhang, Minyi Guo |
| 2025 | CognitiveArm: Enabling Real-Time EEG-Controlled Prosthetic Arm Using Embodied Machine Learning. Abdul Basit, Maha Nawaz, Saim Rehman, Muhammad Shafique |
| 2025 | Comparison-Free Bit-Stream Generation for Cost-Efficient Unary Computing. Faeze S. Banitaba, Amir Hossein Jalilvand, M. Hassan Najafi, Sercan Aygun |
| 2025 | Comprehensive Placement and Routing Framework with Guaranteed In-Cell Routability for Synthesizing Complementary-FET Cells. Zhengzhe Zheng, Yinuo Wu, Keyu Peng, Chao Wang, Ziran Zhu |
| 2025 | Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality? Muhammad Kashif, Alberto Marchisio, Muhammad Shafique |
| 2025 | Configurable DSP-Based CAM Architecture for Data-Intensive Applications on FPGAs. Yao Chen, Feng Yu, Di Wu, Weng-Fai Wong, Bingsheng He |
| 2025 | Constraint Graph-based PCB Legalization Considering Dense, Heterogeneous, Irregular-Shaped, and Any-oriented Components. Chiao-Yu Ou, Yan-Jen Chen, Yao-Wen Chang |
| 2025 | Construction of DAG Models for Autonomous Systems. Jing Huang, Kuan Jiang, Weijie Wang, Wei Liang, Wanli Chang |
| 2025 | Contention-Aware Forecasting of Energy Efficiency through Sequence-Based Models in Modern Heterogeneous Processors. Mohammed Bakr Sikal, Jeferson González-Gómez, Heba Khdr, Jörg Henkel |
| 2025 | Cost-Distance Steiner Trees for Timing-Constrained Global Routing. Stephan Held, Edgar Perner |
| 2025 | Cross-Attention for AES Mode Variation in Side-Channel Analysis. Fanliang Hu, Jian Shen, Haoyu Ma, Qingming Jonathan Wu |
| 2025 | Curvilinear Optical Proximity Correction via Cardinal Spline. Su Zheng, Xiaoxiao Liang, Ziyang Yu, Yuzhe Ma, Bei Yu, Martin D. F. Wong |
| 2025 | DANN: Diffractive Acoustic Neural Network for in-sensor computing system target at multi-biomarker diagnosis. Lewei He, Ning Lin, Binbin Cui, Xinran Zhang, Shiming Zhang, Zhongrui Wang |
| 2025 | DARIS: An Oversubscribed Spatio-Temporal Scheduler for Real-Time DNN Inference on GPUs. Amir Fakhim Babaei, Thidapat Chantem |
| 2025 | DAWN: Accelerating Point Cloud Object Detection via Object-Aware Partitioning and 3D Similarity-Based Filtering. Dongdong Tang, Yu Mao, Weilan Wang, Nan Guan, Tei-Wei Kuo, Chun Jason Xue |
| 2025 | DBC: Drift-aware Binary Code for Drift-tolerant Deep Neural Networks. Insu Choi, Jaeyong Chung, Joon-Sung Yang |
| 2025 | DCDiff: Enhancing JPEG Compression via Diffusion-based DC Coefficients Estimation. Ziyuan Zhang, Han Qiu, Tianwei Zhang, Bin Chen, Chao Zhang |
| 2025 | DCO-3D: Differentiable Congestion Optimization in 3D ICs. Hao-Hsiang Hsiao, Yi-Chen Lu, Pruek Vanna-Iampikul, Anthony Agnesina, Rongjian Liang, Yuan-Hsiang Lu, Haoxing Ren, Sung Kyu Lim |
| 2025 | DDRoute: a Novel Depth-Driven Approach to the Qubit Routing Problem. Alessandro Annechini, Marco Venere, Donatella Sciuto, Marco D. Santambrogio |
| 2025 | DIAS: Distance-based Attention Sparsity for Ultra-Long-Sequence Transformer with Tree-like Processing-in-Memory Architecture. Zekai Chen, Yiming Chen, Teng Wan, TianYi Yu, Yu Wang, Huazhong Yang, Xueqing Li |
| 2025 | DM-Tune: Quantizing Diffusion Models with Mixture-of-Gaussian Guided Noise Tuning. Pouya Haghi, Ali Falahati, Zahra Azad, Chunshu Wu, Ruibing Song, Chuan Liu, Ang Li, Tong Geng |
| 2025 | DRAFT: Decoupling Backpropagation from Pre-trained Backbone for Efficient Transformer Fine-Tuning on Edge. Zhirui Huang, Shiwei Liu, Haozhe Zhu, Qi Liu, Chixiao Chen |
| 2025 | DROIDFUZZ: Proprietary Driver Fuzzing for Embedded Android Devices. Jianzhong Liu, Yuheng Shen, Yifei Chu, Qiang Zhang, Heyuan Shi, Wanli Chang, Yu Jiang |
| 2025 | DSPlacer: DSP Placement for FPGA-based CNN Accelerator. Baohui Xie, Xinrui Zhu, Zhiyuan Lu, Yuan Pu, Tongkai Wu, Xiaofeng Zou, Bei Yu, Tinghuan Chen |
| 2025 | Data Oblivious CPU: Microarchitectural Side-channel Leakage-Resilient Processor. Behnam Omidi, Ihsen Alouani, Khaled N. Khasawneh |
| 2025 | DataMaestro: A Versatile and Efficient Data Streaming Engine Bringing Decoupled Memory Access To Dataflow Accelerators. Xiaoling Yi, Yunhao Deng, Ryan Antonio, Fanchen Kong, Guilherme Paim, Marian Verhelst |
| 2025 | Decoupling Analog Circuit Representation from Technology for Behavior-Centric Optimization. Jintao Li, Haochang Zhi, Jiang Xiao, Keren Zhu, Yun Li |
| 2025 | DeepPUFSCA: Deep learning for Physical Unclonable Function attack based on Side Channel Analysis support. Ngoc Phu Doan, Tuan Dung Pham, Zichi Zhang, Viet-Hung Tran, Jack Miskelly, Hans Vandierendonck, Anh-Tuan Hoang, Máire O'Neill, Son T. Mai |
| 2025 | Delving into Topology Representation for Layout Pattern: A Novel Contrastive Learning Framework for Hotspot Detection. Silin Chen, Kangjian Di, Guohao Wang, Wenzheng Zhao, Li Du, Ningmu Zou |
| 2025 | DenSparSA: A Balanced Systolic Array Approach for Dense and Sparse Matrix Multiplication. Ziheng Wang, Ruiqi Sun, Xin He, Tianrui Ma, An Zou |
| 2025 | Design and Technology Co-optimization Utilizing Flip-FET (FFET) Standard Cells. Jaehoon Ahn, Taewhan Kim |
| 2025 | Device-Algorithm Co-Design of Ferroelectric Compute-in-Memory In-Situ Annealer for Combinatorial Optimization Problems. Yu Qian, Xianmin Huang, Ranran Wang, Zeyu Yang, Min Zhou, Thomas Kämpfe, Cheng Zhuo, Xunzhao Yin |
| 2025 | Device-Aware Test: A Means to Attack Unmodelled Defects (Invited). Said Hamdioui, Mottaqiallah Taouil |
| 2025 | Differentiable Net-Moving and Local Congestion Mitigation for Routability-Driven Global Placement. Wenchao Li, Hongxi Wu, Duanxiang Liu, Xingquan Li, Wenxing Zhu |
| 2025 | DuQTTA: Dual Quantized Tensor-Train Adaptation with Decoupling Magnitude-Direction for Efficient Fine-Tuning of LLMs. Haoyan Dong, Hai-Bao Chen, Jingjing Chang, Yixin Yang, Ziyang Gao, Zhigang Ji, Runsheng Wang, Ru Huang |
| 2025 | Dual-Issue Execution of Mixed Integer and Floating-Point Workloads on Energy-Efficient In-Order RISC-V Cores. Luca Colagrande, Luca Benini |
| 2025 | DuoQ: A DSP Utilization-aware and Outlier-free Quantization for FPGA-based LLMs Acceleration. Zhuoquan Yu, Huidong Ji, Yue Cao, Junfu Wu, Xiaoze Yan, Lirong Zheng, Zhuo Zou |
| 2025 | DyREM: Dynamically Mitigating Quantum Readout Error with Embedded Accelerator. Kaiwen Zhou, Liqiang Lu, Hanyu Zhang, Debin Xiang, Chenning Tao, Xinkui Zhao, Size Zheng, Jianwei Yin |
| 2025 | Dynamic Local Usage: An Accurate Model for Usage of Tile-Internal Wiring in Global Routing. Tilmann Bihler, Daniel Blankenburg |
| 2025 | E-morphic: Scalable Equality Saturation for Structural Exploration in Logic Synthesis. Chen Chen, Guangyu Hu, Cunxi Yu, Yuzhe Ma, Hongce Zhang |
| 2025 | EDGE: DBMS-Empowered Boolean Decomposition for GIG Synthesis. Ruofei Tang, Xuliang Zhu, Xinyi Zhang, Lei Chen, Xing Li, Mingxuan Yuan, Jianliang Xu |
| 2025 | ELF: Efficient Logic Synthesis by Pruning Redundancy in Refactoring. Dimitris Tsaras, Xing Li, Lei Chen, Zhiyao Xie, Mingxuan Yuan |
| 2025 | EPIC: Error PredIction and Correction for Power-Efficient Voltage Underscaling Multiply-Accumulate Unit. Tongjing Wu, Xiaolu Hu, Tong Li, Siting Liu, Hui Wang, Weifeng He, Zhigang Mao, Honglan Jiang |
| 2025 | EPICS: Efficient Parallel Pattern Fault Simulation for Sequential Circuits via Strongly Connected Components. Mingjun Wang, Hui Wang, Jianan Mu, Xinyu Zhang, Bin Sun, Yihan Wen, Zizhen Liu, Feng Gu, Jun Gao, Shengwen Liang, Jing Ye, Xiaowei Li, Huawei Li |
| 2025 | EPOC: An Efficient Pulse Generation Framework with Advanced Synthesis for Quantum Circuits. Jinglei Cheng, Yuchen Zhu, Yidong Zhou, Hang Ren, Zhixin Song, Zhiding Liang |
| 2025 | ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search. Azaz-Ur-Rehman Nasir, Samroz Ahmad Shoaib, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2025 | EVA: An Efficient and Versatile Generative Engine for Targeted Discovery of Novel Analog Circuits. Jian Gao, Weimin Fu, Xiaolong Guo, Weidong Cao, Xuan Zhang |
| 2025 | Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs. Yu Mao, Jingzong Li, Jun Wang, Hong Xu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue |
| 2025 | EdgeMM: Multi-Core CPU with Heterogeneous AI-Extension and Activation-aware Weight Pruning for Multimodal LLMs at Edge. Kangbo Bai, Le Ye, Ru Huang, Tianyu Jia |
| 2025 | Efficient Continuous Logic Optimization with Diffusion Model. Yikang Ouyang, Xiaofei Yu, Jiadong Zhu, Tinghuan Chen, Yuzhe Ma |
| 2025 | Efficient Edge Vision Transformer Accelerator with Decoupled Chunk Attention and Hybrid Computing-In-Memory. Yi Li, Zijian Ye, Xiangqu Fu, Songqi Wang, Shucheng Du, Ning Lin, Dashan Shang, Jinshan Yue, Zhongrui Wang, Xiaojuan Qi, Feng Zhang, Han Wang |
| 2025 | Efficient Rectification Signal Validation for Optimal Functional ECO Patch Generation. Tzu-Yu Tung, Yu-Ling Hsu, Shao-Lun Huang, Chung-Yang Ric Huang |
| 2025 | Efficient Recycling Subspace Truncation Method for Periodic Small-Signal Analysis. Yuncheng Xu, Fan Yang, Yangfeng Su |
| 2025 | Efficient Weight Mapping and Resource Scheduling on Crossbar-based Multi-core CIM Systems. Hanjie Liu, Sifan Sun, Aifei Zhang, Haiyan Qin, Yutong Wu, Minhao Gu, Shihang Fu, Shuaikai Liu, Baosen Liu, Wang Kang |
| 2025 | Efficient and Scalable Architectures for Multi-level Superconducting Qubit Readout. Chaithanya Naik Mude, Satvik Maurya, Benjamin Lienhard, Swamit Tannu |
| 2025 | EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data. Jason Han, Nicholas S. DiBrita, Younghyun Cho, Hengrui Luo, Tirthak Patel |
| 2025 | Enabling Data-Deduplication-Assisted Data Relocation for Interlaced Magnetic Recording. Chen-Jui Tu, Shuo-Han Chen |
| 2025 | Enabling On-Tiny-Device Model Personalization via Gradient Condensing and Alternant Partial Update. Zhenge Jia, Yiyang Shi, Zeyu Bao, Zirui Wang, Xin Pang, Huiguo Liu, Yu Duan, Zhaoyan Shen, Mengying Zhao |
| 2025 | Energy-Efficient Large-Scale Vector Similarity Search in NAND-Flash via Hybrid Matching. Chih-Yu Hu, Chi-Tse Huang, Hao-Wei Chiang, Hsiang-Yun Cheng, Po-Hao Tseng, Ming-Hsiu Lee, An-Yeu Andy Wu |
| 2025 | Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction. Charlie Campbell, Hao Mark Chen, Wayne Luk, Hongxiang Fan |
| 2025 | Enhancing Parallelism and Energy-Efficiency in SOT-MRAM based CIM Architecture for On-Chip Learning. Anubha Sehgal, Alok Kumar Shukla, Sumit Diware, Sandeep Soni, Seema Dhull, Sonal Shreya, Sourajeet Roy, Rajendra Bishnoi |
| 2025 | Ensembler: Protect Collaborative Inference Privacy from Model Inversion Attack via Selective Ensemble. Dancheng Liu, Chenhui Xu, Jiajie Li, Amir Nassereldine, Jinjun Xiong |
| 2025 | Espresso: Exploiting the Sparsity Property in Event Sensors with Spatiotemporal Ordering. Leshan Li, Hongyi Li, Qingyuan Yang, Mingtao Ou, Rong Zhao, Xinglong Ji |
| 2025 | Expanding Logical Space Freely: A Memory-efficient Mapping Table Design for Compressional SSDs. Zixuan Huang, Tianyu Wang, Kecheng Huang, Zelin Du, Zili Shao |
| 2025 | Exploiting Power Side-Channel Vulnerabilities in XGBoost Accelerator. Yimeng Xiao, Archit Gajjar, Aydin Aysu, Paul Franzon |
| 2025 | FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision. Jingxiao Ma, Priyadarshini Panda, Sherief Reda |
| 2025 | FLAG: An FPGA-Based System for Low-Latency GNN Inference Service Using Vector Quantization. Yunki Han, Taehwan Kim, Jiwan Kim, Seohye Ha, Lee-Sup Kim |
| 2025 | FPGA-TrustZone: Security Extension of TrustZone to FPGA for SoC-FPGA Heterogeneous Architecture. Shupeng Wang, Xindong Fan, Xiao Xu, Shuchen Wang, Lei Ju, Zimeng Zhou |
| 2025 | FT-MUX: A Fault-Tolerant Microfluidic Multiplexer Design. Mengchu Li, Jiahui Peng, Tsun-Ming Tseng, Ulf Schlichtmann |
| 2025 | FactorHD: A Hyperdimensional Computing Model for Multi-Object Multi-Class Representation and Factorization. Yifei Zhou, Xuchu Huang, Chenyu Ni, Min Zhou, Zheyu Yan, Xunzhao Yin, Cheng Zhuo |
| 2025 | Fast End-to-End Simulation and Exploration of Many-RISCV-Core Baseband Transceivers for Software-Defined Radio-Access Networks. Marco Bertuletti, Yichao Zhang, Mahdi Abdollahpour, Samuel Riedel, Alessandro Vanelli-Coralli, Luca Benini |
| 2025 | FastPath: A Hybrid Approach for Efficient Hardware Security Verification. Lucas Deutschmann, Andres Meza, Dominik Stoffel, Wolfgang Kunz, Ryan Kastner |
| 2025 | FeKAN: Efficient Kolmogorov-Arnold Networks Accelerator Using FeFET-based CAM and LUT. Xuliang Yu, Yu Qian, Xunzhao Yin, Cheng Zhuo, Liang Zhao |
| 2025 | FedEDA: Federated Learning Framework for Privacy-Preserving Machine Learning in EDA. Joonseok Kim, Donggyu Kim, SeongHyeon Park, Seokhyeong Kang |
| 2025 | Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction. Shan Shen, Yibin Zhang, Hector Rodriguez Rodriguez, Wenjian Yu |
| 2025 | Finding the Pareto Frontier of Low-Precision Data Formats and MAC Architecture for LLM Inference. Brian Crafton, Xiaochen Peng, Xiaoyu Sun, Ashwin Sanjay Lele, Bo Zhang, Win-San Khwa, Kerem Akarvardar |
| 2025 | FineRR-ZNS: Enabling Fine-Granularity Read Refreshing for ZNS SSDs. Jun Li, Zhibing Sha, Fan Yang, Xiaofei Xu, Xiaobai Chen, Jieming Yin, Jianwei Liao |
| 2025 | FireGuard: A Generalized Microarchitecture for Fine-Grained Security Analysis on OoO Superscalar Cores. Zhe Jiang, Sam Ainsworth, Timothy M. Jones |
| 2025 | FlexStep: Enabling Flexible Error Detection in Multi/Many-core Real-time Systems. Tinglue Wang, Yiming Li, Wei Tang, Jiapeng Guan, Zhenghui Guo, Renshuang Jiang, Ran Wei, Jing Li, Zhe Jiang |
| 2025 | Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs. Sam Bush, Matthew DeLorenzo, Phat Tieu, Jeyavijayan Rajendran |
| 2025 | From Flatland to Forest: Exploring Pareto-optimal Design through RTL Hierarchy Trees. Donger Luo, Qi Sun, Xingheng Li, Cheng Zhuo, Bei Yu, Hao Geng |
| 2025 | G-SpNN: GPU-Accelerated Passivity Enforcement for S-Parameter Modeling with Neural Networks. Lijie Zeng, Jiatai Sun, Xiao Wu, Dan Niu, Tianshi Wang, Yibo Lin, Zuochang Ye, Zhou Jin |
| 2025 | GEM: GPU-Accelerated Emulator-Inspired RTL Simulation. Zizheng Guo, Yanqing Zhang, Runsheng Wang, Yibo Lin, Haoxing Ren |
| 2025 | GLOVA: Global and Local Variation-Aware Analog Circuit Design with Risk-Sensitive Reinforcement Learning. Dongjun Kim, Junwoo Park, Chaehyeon Shin, Jaeheon Jung, Kyungho Shin, Seungheon Baek, Sanghyuk Heo, Woongrae Kim, In-Chul Jeong, Joohwan Cho, Jongsun Park |
| 2025 | GLiTCH: GLiTCH induced Transitions for Secure Crypto-Hardware. C. Rohin Menon, Jayanth Balasubramanian, E. Akshay Kumar, Annapurna Valiveti, Chester Rebeiro, Janakiraman Viraraghavan |
| 2025 | GNN-MLS: Signal Routing in Mixed-Node 3D ICs through GNN-Assisted Metal Layer Sharing. Jiawei Hu, Pruek Vanna-Iampikul, Zhen Zhuang, Tsung-Yi Ho, Sung Kyu Lim |
| 2025 | GPS: GNN-Based Two-Stage Pre-Scheduling Loop Mapping Method on CGRAs. Mingyang Kou, Weiqing Ji, Shouyi Yin, Hailong Yao |
| 2025 | GPart: A GNN-Enabled Multilevel Graph Partitioner. Magi Chen, Ting-Chi Wang |
| 2025 | GS-TG: 3D Gaussian Splatting Accelerator with Tile Grouping for Reducing Redundant Sorting while Preserving Rasterization Efficiency. Joongho Jo, Jongsun Park |
| 2025 | GSAcc: Accelerate 3D Gaussian Splatting via Depth Speculation and Gaussian-centric Rasterization. Mengtian Yang, Yipeng Wang, Chieh-Pu Lo, Xiuhao Zhang, Sirish Oruganti, Jaydeep P. Kulkarni |
| 2025 | GSIM: Accelerating RTL Simulation for Large-Scale Designs. Lu Chen, Dingyi Zhao, Zihao Yu, Ninghui Sun, Yungang Bao |
| 2025 | GTN-Path: Efficient Path Timing Prediction through Waveform Propagation with Graph Transformer. Lihao Liu, Beisi Lu, Yunhui Li, Li Shang, Fan Yang |
| 2025 | GauRast: Enhancing GPU Triangle Rasterizers to Accelerate 3D Gaussian Splatting. Sixu Li, Ben Keller, Yingyan Celine Lin, Brucek Khailany |
| 2025 | Gem5-AcceSys: Enabling System-Level Exploration of Standard Interconnects for Novel Accelerators. Qunyou Liu, Marina Zapater, David Atienza |
| 2025 | Generalizable Lithographic Hotspot Detection Using Asynchronous Meta-Learning with Only One Shot. Cong Jiang, Yujia Wang, Dan Feng, Haoyu Yang, Kang Liu |
| 2025 | Generative Model Based Standard Cell Timing Library Characterization. Hao-Yu Wu, Hsin-Tzu Chang, Shiuan-Yun Ding, Iris Hui-Ru Jiang, Benson Tsao, Vinson Wu, Wei-Kai Shih |
| 2025 | GoPTX: Fine-grained GPU Kernel Fusion by PTX-level Instruction Flow Weaving. Kan Wu, Zejia Lin, Mengyue Xi, Zhongchun Zheng, Wenxuan Pan, Xianwei Zhang, Yutong Lu |
| 2025 | Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution Environment. Ruyi Ding, Tianhong Xu, Aidong Adam Ding, Yunsi Fei |
| 2025 | Graph-Guided Transfer Learning to Boost the Efficiency of System-Level Optimization of Analog/Mixed-Signal Circuits. Jiaqi Wang, Georges G. E. Gielen |
| 2025 | GraphAccel: An In-Storage Accelerator for Efficient Graph-Based Vector Similarity Search Using Page Packing and Speculative Search Optimization. Yoonyoung Kwon, Yunjong Boo, Hyungmin Cho |
| 2025 | GraphFI: An Efficient Fault Injection Framework for Graph Processing on GPGPUs. Nan Jiang, Hengshan Yue, Jingweijia Tan, Mengting Zhou, Xiaonan Wang, Yuchun Wang, Wenda Wei, Meikang Qiu, Xiaohui Wei |
| 2025 | Grasp: Group-based Prediction of Activation Sparsity for Fast LLM Inference. Jiho Shin, Hoeseok Yang, Youngmin Yi |
| 2025 | Guarder: A Stable and Lightweight Reconfigurable RRAM-based PIM Accelerator for DNN IP Protection. Ning Lin, Yi Li, Jiankun Li, Jichang Yang, Yangu He, Yukui Luo, Dashan Shang, Xiaoming Chen, Xiaojuan Qi, Zhongrui Wang |
| 2025 | H3Match: A Hybrid Heterogeneous Hypergraph Matching Method for Subcircuit Identification. Bohao Li, Qingsong Peng, Changhong Wang, Tianming Ni, Tinghuan Chen, Qi Sun, Cheng Zhuo |
| 2025 | HH-PIM: Dynamic Optimization of Power and Performance with Heterogeneous-Hybrid PIM for Edge AI Devices. Sangmin Jeon, Kangju Lee, Kyeongwon Lee, Woojoo Lee |
| 2025 | HIVE: A High-Priority Victim Cache for Accelerating GPU Memory Accesses. Yuhan Tang, Jianmin Zhang, Sheng Ma, Tiejun Li, Hanqing Li, Shengbai Luo, Jixuan Tang, Lizhou Wu |
| 2025 | HPIM-NoC: A Priori-Knowledge-Based Optimization Framework for Heterogeneous PIM-Based NoCs. Shuai Yuan, Angxin Cai, Qiushi Lin, Guoxing Wang, Yu Wang, Zhenhua Zhu, Yanan Sun |
| 2025 | Hardware Generation with High Flexibility using Reinforcement Learning Enhanced LLMs. Yifang Zhao, Weimin Fu, Shijie Li, Yixiang Hu, Xiaolong Guo, Yier Jin |
| 2025 | Hardware-Software Co-design for Distributed Quantum Computing. Ji Liu, Allen Zang, Martin Suchara, Tian Zhong, Paul D. Hovland |
| 2025 | Harnessing Conventional Video Processing Insights for Emerging 3D Video Generation Models: A Comprehensive Attention-aware Way. Tianlang Zhao, Jun Liu, Xingyang Li, Li Ding, Jinhao Li, ShuaiHeng Li, Jinbo Hu, Guohao Dai |
| 2025 | Harrow: Synthesis of Optical Logic Circuits via Harmonic Mean and Integer Partition. Jun-Wei Liang, Iris Hui-Ru Jiang, Kai-Hsiang Chiu |
| 2025 | HeteroSVD: Efficient SVD Accelerator on Versal ACAP with Algorithm-Hardware Co-Design. Xinya Luan, Zhe Lin, Kai Shi, Jianwang Zhai, Kang Zhao |
| 2025 | HiSpTRSV: Exploring Tile-Level Parallelism for SpTRSV Acceleration on FPGAs. Fan Sun, Fang Dong, Dian Shen |
| 2025 | High Energy-efficiency and Low latency In-Memory Computing using Analog Accumulator and In-Memory ADC with shared References. Junyi Yang, Shuai Dong, Zhengnan Fu, Hongyang Shang, Arindam Basu |
| 2025 | High-Performance Computing Architecture Exploration with Stage-Enhanced Bayesian Optimization. Vincent Fu, Mohamed Benazouz, Lilia Zaourar, Alix Munier Kordon |
| 2025 | High-throughput Point-Cloud Accelerator with Sparsity-aware Hierarchical Neighbor Voxel Search and Skipping. Yun-Chia Yu, Suraj Pn Reddy, Aryan Devrani, Anirudh Srinivasan, Saianudeep Reddy Nayini, Sohyeon Kim, Sung-Joon Jang, Sang-Seol Lee, Mingu Kang |
| 2025 | HoBBy: Hardening Unbalanced Branches against Control Flow Attacks on Intel SGX and AMD SEV. Chang Liu, Shuaihu Feng, Yuan Li, Dongsheng Wang, Trevor E. Carlson |
| 2025 | Holistic Design towards Resource-Stringent Binary Vector Symbolic Architecture. Shijin Duan, Nuntipat Narkthong, Yukui Luo, Shaolei Ren, Xiaolin Xu |
| 2025 | HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference. Shuzhang Zhong, Yanfan Sun, Ling Liang, Runsheng Wang, Ru Huang, Meng Li |
| 2025 | Hybrid Embedding Framework for Memory-Efficient Recommendation Systems. Seung Jin Yang, Hyuk-Jae Lee, Chae-Eun Rhee |
| 2025 | Hydra: Harnessing Expert Popularity for Efficient Mixture-of-Expert Inference on Chiplet System. Siqi He, Haozhe Zhu, Jiapei Zheng, Lizhou Wu, Bo Jiao, Qi Liu, Xiaoyang Zeng, Chixiao Chen |
| 2025 | Hypnos: Memory Efficient Homomorphic Processing Unit. Haoxuan Wang, Yinghao Yang, Hang Lu, Xiaowei Li |
| 2025 | INSIGHT: A Universal Neural Simulator Framework for Analog Circuits with Autoregressive Transformers. Souradip Poddar, Youngmin Oh, Yao Lai, Hanqing Zhu, Bosun Hwang, David Z. Pan |
| 2025 | INSTA: An Ultra-Fast, Differentiable, Statistical Static Timing Analysis Engine for Industrial Physical Design Applications. Yi-Chen Lu, Zhizheng Guo, Kishor Kunal, Rongjian Liang, Haoxing Ren |
| 2025 | IRGNN: A Graph-based Framework Integrating Numerical Solution and Point Cloud for Static IR Drop Prediction. Feng Guo, Yueyue Xi, Jianwang Zhai, Jingyu Jia, Jiawei Liu, Kang Zhao, Chuan Shi |
| 2025 | Identifying System-on-Chip Security Assets with Structure-Based Analysis. Wei-Kai Liu, Benjamin Tan, Krishnendu Chakrabarty |
| 2025 | In-Memory Arithmetic: Enabling Division with Stochastic Logic. Farzad Razi, Mehran Shoushtari Moghadam, M. Hassan Najafi, Sercan Aygun, Marc D. Riedel |
| 2025 | InfScaler: Enabling Efficient ML Inference Serving on Multi-Accelerator Edge Devices via Asymmetric Auto-Scaling. Borui Li, Tiange Xia, Shuai Wang, Shuai Wang |
| 2025 | InsightAlign: A Transferable Physical Design Recipe Recommender Based on Design Insights. Hao-Hsiang Hsiao, Sudipto Kundu, Wei Zeng, Wei-Ting Chan, Deyuan Guo, Sung Kyu Lim |
| 2025 | Insights from Rights and Wrongs: A Large Language Model for Solving Assertion Failures in RTL Design. Jie Zhou, Youshu Ji, Ning Wang, Yuchen Hu, Xinyao Jiao, Bingkun Yao, Xinwei Fang, Shuai Zhao, Nan Guan, Zhe Jiang |
| 2025 | Insights from Rights and Wrongs: A Large Language Model for Solving Assertion Failures in RTL Design. Jie Zhou, Youshu Ji, Ning Wang, Yuchen Hu, Xinyao Jiao, Bingkun Yao, Xinwei Fang, Shuai Zhao, Nan Guan, Zhe Jiang |
| 2025 | InterConFuzz: A Fuzzing-based Comprehensive NoC Verification Framework. Samit Shahnawaz Miftah, Hyunmin Kim, Kanad Basu |
| 2025 | Intermittent Systems at Small Scale: Execution Model and Design Guidelines. YoungBin Kim, Yoojin Lim |
| 2025 | IntraFuzz: Coverage-Guided Intra-Enclave Fuzzing for Intel SGX Applications. Jinhua Cui, Qiao Peng, Yiwen Yao, Ke Ye, Jiliang Zhang |
| 2025 | Introducing Instruction-Accurate Simulators for Performance Estimation of Autotuning Workloads. Rebecca Pelke, Nils Bosbach, Lennart M. Reimann, Rainer Leupers |
| 2025 | Invited paper: Enhancing Design Automation with Quantum Algorithms for Chip Design. Gabriel P. L. M. Fernandes, Matheus S. Fonseca, Amanda G. Valério, Nicolás A. C. Carpio, João Marcus Epifânio Morais de Assunção, Rafael Vidal Aroca, Celso Jorge Villas-Bôas, Dario Sassi Thober |
| 2025 | Invited: EDA for Heterogeneous Integration. Emad Haque, Pragnya Sudershan Nalla, Chetal Choppali Sudarshan, Divya Yogi, Hangyu Zhang, Chaitali Chakrabarti, Vidya A. Chhabria, Ramesh Harjani, Jeff Zhang, Sachin S. Sapatnekar |
| 2025 | Invited: Enhancing Test Quality by Targeting Timing Marginalities Due to Process Variations. Adit D. Singh, Mukarram Ali Faridi |
| 2025 | Invited: SambaNova SN40L: Unleashing Agentic AI with Dataflow. Raghu Prabhakar, Pushkar Nandkar, Darshan Gandhi, Nasim Farahini, Håkan Zeffer |
| 2025 | Joint Cutting for Hybrid Schrödinger-Feynman Simulation of Quantum Circuits. Laura S. Herzog, Lukas Burgholzer, Christian Ufrecht, Daniel D. Scherer, Robert Wille |
| 2025 | KLiNQ: Knowledge Distillation-Assisted Lightweight Neural Network for Qubit Readout on FPGA. Xiaorang Guo, Tigran Bunarjyan, Dai Liu, Benjamin Lienhard, Martin Schulz |
| 2025 | KVO-LLM: Boosting Long-Context Generation Throughput for Batched LLM Inference. Zhenyu Li, Dongxu Lyu, Gang Wang, Yuzhou Chen, Liyan Chen, Wenjie Li, Jianfei Jiang, Yanan Sun, Guanghui He |
| 2025 | LA-MTL: Latency-Aware Automated Multi-Task Learning. Shambhavi Balamuthu Sampath, Sami Sawani, Moritz Thoma, Lukas Frickenstein, Pierpaolo Morì, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Ulf Schlichtmann, Claudio Passerone, Walter Stechele |
| 2025 | LEMOE: LLM-Enhanced Multi-Objective Bayesian Optimization for Microarchitecture Exploration. Jingyuan Li, Jianrong Zhang, Ye Li, Wenbo Yin, Lingli Wang |
| 2025 | LIO-DPC: Accurate and Fast LiDAR-Inertial Odometry with Dynamic Pose Chain. Yuexin Mu, Ao Ren, Duo Liu, Zihao Zhang, Haojie Lu, Longyi Zhou, Huachen Tan, Kan Zhong, Yujuan Tan, Chaoxia Qin |
| 2025 | LLMShare: Optimizing LLM Inference Serving with Hardware Architecture Exploration. Hongduo Liu, Chen Bai, Peng Xu, Lihao Yin, Xianzhi Yu, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu |
| 2025 | LLMs Meet Post-Silicon Test Engineering: A New Era (Invited). Li-C. Wang |
| 2025 | LLMs: A Driving Force in Next Generation Digital Design Automation. Matheus T. Moreira, Aram H. Markosyan, Chris Cummins, Warren Hunt, Gabriel Synnaeve, Edith Beigné |
| 2025 | LMM-IR: Large-Scale Netlist-Aware Multimodal Framework for Static IR-Drop Prediction. Kai Ma, Zhen Wang, Hongquan He, Qi Xu, Tinghuan Chen, Hao Geng |
| 2025 | LVM-MO: A Large Vision Model Pioneer on Full-Chip Mask Optimization. Yiwen Wu, Yuyang Chen, Shuo Yin, Nan Wang, Tao Wu, Xuming He, Hao Geng, Jingyi Yu |
| 2025 | Late Breaking Results: A Diffusion-Based Framework for Configurable and Realistic Multi-Storage Trace Generation. Seohyun Kim, Junyoung Lee, Jongho Park, Jinhyung Koo, Sungjin Lee, Yeseong Kim |
| 2025 | Late Breaking Results: A Fast Nearest Neighbor Search Acceleration for 3D Point Cloud. Jinao Li, Teng Wang, Qianyu Cheng, Zhendong Zheng, Lei Gong, Chao Wang, Xi Li, Xuehai Zhou |
| 2025 | Late Breaking Results: A Geometric Diffusion Model for Macro Placement Generation. Jongho Yoon, Jinsung Jeon, Seokhyeong Kang |
| 2025 | Late Breaking Results: Advanced PCB Placement with Irregular Components for Efficient Collision Detection and Routability Optimization. Chien-Hao Tsou, Zhu-Xun Lee, Yao-Wen Chang |
| 2025 | Late Breaking Results: An Efficient and Scalable Track Assignment with GPU Parallelism. Genggeng Liu, Pengcheng Huang, Zepeng Li, Wen-Hao Liu, Xing Huang, Wenzhong Guo |
| 2025 | Late Breaking Results: Automated Topology Generation for Power Amplifier Designs through BiLSTM-based DNN and Multi-objective Optimizations. Lida Kouhalvandi, Sercan Aygun, M. Hassan Najafi, Arman Roohi |
| 2025 | Late Breaking Results: BLAST: Bisection-Free Learning Approach for Statistical Timing Characterization. Kai Jing, Tao Bai, Zeyuan Deng, Junming Jiao, Peng Cao |
| 2025 | Late Breaking Results: Breaking Symmetry - Unconventional Placement of Analog Circuits using Multi-Level Multi-Agent Reinforcement Learning. Supriyo Maji, Linran Zhao, Souradip Poddar, David Z. Pan |
| 2025 | Late Breaking Results: Customized Diffusion Model Empowered by Heterogeneous Graph Network for Effective Floorplanning. Xinglin Zheng, Hao Gu, Keyu Peng, Youwen Wang, Wenxing Zhu, Ziran Zhu |
| 2025 | Late Breaking Results: Decentralized Voting-Based Attestation for IoT Devices. Mohamed Alsharkawy, Eren Sönmez, Jeferson González-Gómez, Hassan Nassar, Jörg Henkel |
| 2025 | Late Breaking Results: Encoder-Decoder Generative Diffusion Transformer Towards Push-Button Analog IC Sizing. Filipe Azevedo, Nuno Lourenço, Ricardo Martins |
| 2025 | Late Breaking Results: FPGen-3D: Automated Framework for 3D-FPGA Architecture Generation and Exploration. Ismael Youssef, Cong Callie Hao |
| 2025 | Late Breaking Results: Fine-Tuning LLMs for Test Stimuli Generation. Hyeonwoo Park, SeongHyeon Park, Seokhyeong Kang |
| 2025 | Late Breaking Results: Hybrid Logic Optimization with Predictive Self-Supervision. Rongliang Fu, Ran Zhang, Ziyang Zheng, Zhengyuan Shi, Yuan Pu, JunYing Huang, Qiang Xu, Tsung-Yi Ho |
| 2025 | Late Breaking Results: Less Sense Makes More Sense: In-Sensor Compressive Learning for Efficient Machine Vision. Yiwen Liang, Weidong Cao |
| 2025 | Late Breaking Results: Multi-Objective Multi-Bit Flip-Flop Placement Considering Pre-Placed Cells. Cheng-Yen Li, Chuan-Chi Su, Zheng-Wei Chen, Shao-Hsiang Chen, Yao-Wen Chang |
| 2025 | Late Breaking Results: Novel Design of MTJ-Based Unified LIF Spiking Neuron and PUF. Milad Tanavardi Nasab, Wu Yang, Himanshu Thapliyal |
| 2025 | Late Breaking Results: On-the-Fly Hadamard Hypervector Processing for Efficient Hyperdimensional Computing. Abu Kaisar Mohammad Masum, Mehran Shoushtari Moghadam, Sabrina Hassan Moon, Ahmed Mamdouh Mohamed Ahmed, M. Hassan Najafi, Dayane Reis, Sercan Aygun |
| 2025 | Late Breaking Results: Opera: An Open and Efficient Platform for Data-driven Synthesis of Analog Circuits. Shikai Wang, Yaolong Hu, Zhiqiang Yi, Taiyun Chi, Weidong Cao |
| 2025 | Late Breaking Results: Scalable GPU-Friendly Parallelization for Sweep-Based Maze Routing. Cheng-Yu Chiang, Zong-Ying Cai, Chao-Chi Lan, Yan-Jen Chen, Yang Hsu, Yao-Wen Chang, Hung-Ming Chen |
| 2025 | Late Breaking Results: Source-Aware Adaptive Cache Management for CXL-enabled Disaggregated Memory Sharing. Qianyu Cheng, Jiajun Ji, Teng Wang, Zihan Wang, Lei Gong, Chao Wang, Xuehai Zhou |
| 2025 | Late Breaking Results: Statistical Timing Graph Scheduling Algorithm for GPU Computation. Chih-Chun Chang, Tsung-Wei Huang |
| 2025 | Late Breaking Results: The Hidden Risks of Activation Duration in PLPUFs. Mohamed Alsharkawy, Jan Zwerschke, Hassan Nassar, Jeferson González-Gómez, Jörg Henkel |
| 2025 | Late Breaking Results: Utilization of Hybrid Threshold-Voltage Flip-flops for Power Recovery. Sehyeon Chung, Hyun-chul Hwang, Byung Su Kim, Jaeha Lee, Kunhyuk Kang, Taewhan Kim |
| 2025 | Late Breaking Results: Versatile 4:1 Multiplexer Using 1T1R RRAM Crossbar for High Speed In-Memory Computing. B. Vinodh Kumar, Binsu J. Kailath |
| 2025 | Late Breaking Results: Warpage-Aware Generative Floorplanning for Reliable Advanced Packaging. Min-Hung Chen, Cheng-Yen Li, Chuan-Chi Su, Yao-Wen Chang, Tung-Chieh Chen |
| 2025 | LeakyDSP: Exploiting Digital Signal Processing Blocks to Sense Voltage Fluctuations in FPGAs. Xin Zhang, Jiajun Zou, Yi Yang, Qingni Shen, Zhi Zhang, Yansong Gao, Zhonghai Wu, Trevor E. Carlson |
| 2025 | LearnGraph: A Learning-Based Architecture for Dynamic Graph Processing. Lingling Zhang, Yijian Wu, Hong Jiang, Ziyu Zhou, Tiancheng Lu |
| 2025 | Learning-Aided Safe Controller Synthesis with Formal Guarantees via Vector Barrier Certificates. Xia Zeng, Mengxin Ren, Zhiming Liu, Zhengfeng Yang |
| 2025 | Leopard: Hardware Pass-Through Remote Storage Access with Queue Concurrency for Edge Intelligent Workstations. Wenjie Wang, Bo Peng, Jianguo Yao, Haibing Guan |
| 2025 | Leveraging Critical Proof Obligations for Efficient IC3 Verification. Lingfeng Zhu, Xindi Zhang, Yongjian Li, Shaowei Cai |
| 2025 | Libra: A Hybrid-Sparse Attention Accelerator Featuring Multi-Level Workload Balance. Faxian Sun, Runzhou Zhang, Zhenyu Liu, Heng Liao, Zhinan Qin, Jianli Chen, Jun Yu, Kun Wang |
| 2025 | LightRIM: Light Runtime Integrity Measurement for Linux Kernels in Embedded Applications. Yili Guo, Zhuoran Ma, Xiangyue Li, Jiajia Huang, Wanli Chang |
| 2025 | Live Region Mutation Testing for Commercial Cyber-Physical System Development Tool Chain. Lehuan Zhang, Shikai Guo, Zixuan Wang, Xiaoyu Wang, Xiaochen Li, He Jiang |
| 2025 | Local-GS: An Order-Independent Gaussian Splatting Training Accelerator Exploiting Splat Locality. Yiyang Sun, Qinzhe Zhi, Yiqi Jing, Le Ye, Ru Huang, Tianyu Jia |
| 2025 | Location is Key: Leveraging LLM for Functional Bug Localization in Verilog Design. Bingkun Yao, Ning Wang, Jie Zhou, Xi Wang, Hong Gao, Zhe Jiang, Nan Guan |
| 2025 | Logic Optimization Meets SAT: A Novel Framework for Circuit-SAT Solving. Zhengyuan Shi, Tiebing Tang, Jiaying Zhu, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu |
| 2025 | Logic Restructuring with Preserved Logic Blocks. Siang-Yun Lee, Heinz Riener, Sascha Richter, Ankush Sood |
| 2025 | Look Before You Leap: A Self-Review Bayesian Optimization Method for Constrained High-Dimensional Design Space Exploration. Xuyang Zhao, Yiyang Zhao, Zheng Wu, Tianning Gao, Zhaori Bi, Changhao Yan, Dian Zhou, Xuan Zeng |
| 2025 | Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation. Hiroto Tagata, Takashi Sato, Hiromitsu Awano |
| 2025 | MAGE: A Multi-Agent Engine for Automated RTL Code Generation. Yujie Zhao, Hejia Zhang, Hanxian Huang, Zhongming Yu, Jishen Zhao |
| 2025 | MARIO: A Superadditive Multi-Algorithm Interworking Optimization Framework for Analog Circuit Sizing. Wangzhen Li, Yuan Meng, Ruiyu Lyu, Changhao Yan, Keren Zhu, Zhaori Bi, Dian Zhou, Xuan Zeng |
| 2025 | MAS-ISP: A Proxy-Free Online Hyperparameter Optimization Framework for ISP Hardware System. Jiaming Liu, Xuan Huang, Zhijian Hao, Ruoxi Zhu, Qi Zheng, Shuocheng Wang, ShuShi Chen, Chang Liu, Leilei Huang, Jun Tao, Yibo Fan |
| 2025 | MEEK: Re-thinking Heterogeneous Parallel Error Detection Architecture for Real-World OoO Superscalar Processors. Zhe Jiang, Minli Liao, Sam Ainsworth, Dean You, Timothy M. Jones |
| 2025 | MHDiff: Memory- and Hardware-Efficient Diffusion Acceleration via Focal Pixel Aware Quantization. Chunyu Qi, Xuhang Wang, Ruiyang Chen, Yuanzheng Yao, Naifeng Jing, Chen Zhang, Jun Wang, Zhihui Fu, Xiaoyao Liang, Zhuoran Song |
| 2025 | MIA-aware FinFlex Cell Legalization with Power-Driven Cell Version Substitution. Da-Wei Huang, Shao-Yun Fang |
| 2025 | MILLION: MasterIng Long-Context LLM Inference Via Outlier-Immunized KV Product QuaNtization. Zongwu Wang, Peng Xu, Fangxin Liu, Yiwei Hu, Qingxiao Sun, Gezi Li, Cheng Li, Xuan Wang, Li Jiang, Haibing Guan |
| 2025 | MIRACLE: Multimodal Information Retrieval via a Combined In-Memory Processing and Content Addressable Memory Approach. Xuehui Liu, Xueyan Wang, Tianyang Yu, Chen Cheng, Shuo Ran, Bi Wu, Xiaotao Jia, Weiqiang Liu, Gang Qu, Weisheng Zhao |
| 2025 | MMDFL: Multi-Model-based Decentralized Federated Learning for Resource-Constrained AIoT Systems. Dengke Yan, Yanxin Yang, Ming Hu, Xin Fu, Mingsong Chen |
| 2025 | MOSS: Multi-Modal Representation Learning on Sequential Circuits. Mingjun Wang, Bin Sun, Jianan Mu, Feng Gu, Boyu Han, Tianmeng Yang, Xinyu Zhang, Silin Liu, Yihan Wen, Hui Wang, Jun Gao, Zhiteng Chao, Husheng Han, Zizhen Liu, Shengwen Liang, Jing Ye, Bei Yu, Xiaowei Li, Huawei Li |
| 2025 | Machine Learning-Driven STL Generation for Enhancing Functional Safety of E/E Systems. Sanjay Das, Swastik Bhattacharya, Anand Menon, Shamik Kundu, Pooja Madhusoodhanan, Prasanth Viswanathan Pillai, Rubin A. Parekhji, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu |
| 2025 | MambaOPU: An FPGA Overlay Processor for State-space-duality-based Mamba Models. Shaoqiang Lu, Xuliang Yu, Tiandong Zhao, Siyuan Miao, Xinsong Sheng, Chen Wu, Liang Zhao, Ting-Jung Lin, Lei He |
| 2025 | Maximizing Energy Efficiency in Spiking Neural Networks: A Dynamic Joint Pruning Framework. Shuo Chen, Zeshi Liu, Haihang You |
| 2025 | McPAL: Scaling Unstructured Sparse Inference with Multi-Chiplet HBM-PIM Architecture for LLMs. Shiwei Liu, Zhirui Huang, Jiangnan Yu, Qi Liu, Chixiao Chen |
| 2025 | Me-MPK: Accelerating Krylov Subspace Solvers via Memory-efficient Matrix-Power Kernel. Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Shengguo Li, Liang Deng, Jian Zhang, Zhe Dai, Yue Ding, Yue Wang, Zhimeng Han, Yonggang Che, Jie Liu |
| 2025 | Measurement-based uncomputation of quantum circuits for modular arithmetic. Alessandro Luongo, Antonio Michele Miti, Varun Narasimhachar, Adithya Sireesh |
| 2025 | Megabits Down to Kilobits: Memory-Efficient Time-Aware Shaping for TSN. Xuyan Jiang, Wenwen Fu, Xiangrui Yang, Yingwen Chen, Wenfei Wu, Zhigang Sun |
| 2025 | MemSeer: Leverage Memory Failure Distinctions and Multi-Grained Prediction in Ultra-Scale Heterogeneous X86/ARM Clusters. Yunfei Gu, Yixuan Liu, Xinyuan Wu, Bo Shao, Chentao Wu, Shiyi Li, Jieru Zhao, Jie Li, Minyi Guo, Kunlin Yang, Wengui Zhang, Feilong Lin |
| 2025 | MemSens: Significantly Reducing Memory Overhead in Adjoint Sensitivity Analysis Using Novel Error-Bounded Lossy Compression. Chenxi Li, Yihang Feng, Fuxing Deng, Dingwen Tao, Weifeng Liu, Zhou Jin |
| 2025 | MetaDSE: A Few-shot Meta-learning Framework for Cross-workload CPU Design Space Exploration. Runzhen Xue, Hao Wu, Mingyu Yan, Ziheng Xiao, Xiaochun Ye, Dongrui Fan |
| 2025 | MiniWear: Minimizing Flash Wear via Hybrid Persistent Cache for Extended EF-SMR Lifetime. Chenlin Ma, Kaoyi Sun, Yuxuan Qi, Jiaxian Chen, Xiaochuan Zheng, Tianyu Wang, Yi Wang |
| 2025 | Mitigating Routability Problems in Complementary-FET-based VLSI Designs. Junghyun Yoon, Heechun Park |
| 2025 | Mixed Structural Choice Operator: Enhancing Technology Mapping with Heterogeneous Representations. Zhang Hu, Hongyang Pan, Yinshui Xia, Lunyao Wang, Zhufei Chu |
| 2025 | Mixed-Precision Quantization for Deep Vision Models with Integer Quadratic Programming. Zihao Deng, Sayeh Sharify, Xin Wang, Michael Orshansky |
| 2025 | Monolithic 3D FPGA Design and Synthesis with Back-End-of-Line Configuration Memories. Faaiq Waqar, Jiahao Zhang, Anni Lu, Zifan He, Jason Cong, Shimeng Yu |
| 2025 | Move Less, Retrieve Fast: A Retrieval-in-Memory Architecture for Language Models. Jiaxian Chen, Yuxuan Qi, Jianan Yuan, Kaoyi Sun, Tianyu Wang, Chenlin Ma, Yi Wang |
| 2025 | Mr.TPL: A Method for Multi-Pin Net Router in Triple Patterning Lithography. Chengkai Wang, Weiqing Ji, Mingyang Kou, Zhiyang Chen, Fei Li, Nengyong Zhu, Hailong Yao |
| 2025 | Multi-Agent Yield Analysis For Circuit Design. Haiyan Qin, Jing Kou, Liang Zhang, Wang Kang, Wei W. Xing |
| 2025 | Multicore Environment State Representation for Agent-Directed Test Generation. Bruno D. Miranda, Luiz M. V. Pereira, Márcio Castro, Luiz C. V. dos Santos |
| 2025 | NDFT: Accelerating Density Functional Theory Calculations via Hardware/Software Co-Design on Near-Data Computing System. Qingcai Jiang, Buxin Tu, Xiaoyu Hao, Junshi Chen, Hong An |
| 2025 | NN-AdderNet: Nonnegative and Sparse Weight Optimization Towards Ultra-Low Bitwidth AdderNet Quantization and Compression. Yunxiang Zhang, Gengchen Sun, Lizhi Fang, Biao Sun, Wenfeng Zhao |
| 2025 | NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI. Hanchen Yang, Zishen Wan, Ritik Raj, Joongun Park, Ziwei Li, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna |
| 2025 | NVR: Vector Runahead on NPUs for Sparse Memory Access. Hui Wang, Zhengpeng Zhao, Jing Wang, Yushu Du, Yuan Cheng, Bing Guo, He Xiao, Chenhao Ma, Xiaomeng Han, Dean You, Jiapeng Guan, Ran Wei, Dawei Yang, Zhe Jiang |
| 2025 | Near-Memory LLM Inference Processor based on 3D DRAM-to-logic Hybrid Bonding. SangHyeok Han, Byungkuk Yoon, Gyeonghwan Park, Choungki Song, Dongkyun Kim, Jae-Joon Kim |
| 2025 | NetTAG: A Multimodal RTL-and-Layout-Aligned Netlist Foundation Model via Text-Attributed Graph. Wenji Fang, Wenkai Li, Shang Liu, Yao Lu, Hongce Zhang, Zhiyao Xie |
| 2025 | NeuralMesh: Neural Network For FEM Mesh Generation in 2.5D/3D Chiplet Thermal Simulation. Pengju Chen, Dan Niu, Dekang Zhang, Wenhao Wang, Depeng Xie, Zhou Jin, Wei W. Xing, Lei He |
| 2025 | New Time-Domain Preconditioners for HB Jacobian of RF Circuits. Chenyi Tan, Yangfeng Su, Fan Yang, Xuan Zeng |
| 2025 | NoiseZO: RRAM Noise-Driven Zeroth-Order Optimization for Efficient Forward-Only Training. Shuqi Wang, Zhengwu Liu, Chenchen Ding, Chen Zhang, Taiqiang Wu, Jiajun Zhou, Ngai Wong |
| 2025 | On Bit-level Reverse Engineering of Vehicular CAN Bus. Yunlang Cai, Hanxue Shi, Xiaohang Wang, Haoting Shen, Li Lu, Kui Ren |
| 2025 | On Design Space Exploration of Cache System in Multi-Chiplet Systems. Yan Zhang, Xiaohang Wang, Yingtao Jiang, Amit Kumar Singh |
| 2025 | Optimizing Recovery Logic in Speculative High-Level Synthesis. Dylan Leothaud, Jean-Michel Gorius, Simon Rokicki, Steven Derrien |
| 2025 | Optimizing windowed arithmetic for quantum attacks against RSA-2048. Alessandro Luongo, Varun Narasimhachar, Adithya Sireesh |
| 2025 | OutlierCIM: Outlier-Aware Digital CIM-Based LLM Accelerator with Hybrid-Strategy Quantization and Unified FP-INT Computation. Zihan Zou, Shikuang Chen, Chen Zhang, Xing Wang, Zhichao Liu, Haoran Du, Xin Si, Hao Cai, Bo Liu |
| 2025 | P-DAC: Power-Efficient Photonic Accelerators for LLM Inference. Wen-Tse Chang, Chun-Feng Wu, Yun-Chen Lo |
| 2025 | PARO: Hardware-Software Co-design with Pattern-aware Reorder-based Attention Quantization in Video Generation Models. Xinhao Yang, Tianchen Zhao, Hongyi Wang, Wenheng Ma, Shulin Zeng, Zhenhua Zhu, Xuefei Ning, Huazhong Yang, Yu Wang |
| 2025 | PASK: Cold Start Mitigation for Inference with Proactive and Selective Kernel Loading on GPUs. Xuanteng Huang, Jiangsu Du, Nong Xiao, Xianwei Zhang |
| 2025 | PHOENIX: Pauli-Based High-Level Optimization Engine for Instruction Execution on NISQ Devices. Zhaohui Yang, Dawei Ding, Chenghong Zhu, Jianxin Chen, Yuan Xie |
| 2025 | PICK: An SRAM-based Processing-in-Memory Accelerator for K-Nearest-Neighbor Search in Point Clouds. Chen Nie, Chao Jiang, Liming Xiao, Weifeng Zhang, Zhezhi He |
| 2025 | PIMDup: An Optimized Deduplication Design on a Real Processing-in-Memory System. Chun-Le Yeh, Liang-Chi Chen, Chien-Chung Ho, Yu-Ming Chang, Da-Wei Chang |
| 2025 | PIMPAL: Accelerating LLM Inference on Edge Devices via In-DRAM Arithmetic Lookup. Yoonho Jang, Hyeongjun Cho, Yesin Ryu, Jungrae Kim, Seokin Hong |
| 2025 | PIMoE: Towards Efficient MoE Transformer Deployment on NPU-PIM System through Throttle-Aware Task Offloading. Lizhou Wu, Haozhe Zhu, Siqi He, Xuanda Lin, Xiaoyang Zeng, Chixiao Chen |
| 2025 | PISA: Efficient Precision-Slice Framework for LLMs with Adaptive Numerical Type. Ning Yang, Zongwu Wang, Qingxiao Sun, Liqiang Lu, Fangxin Liu |
| 2025 | POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage. Tanzim Mahfuz, Sudipta Paria, Tasneem Suha, Swarup Bhunia, Prabuddha Chakraborty |
| 2025 | PUFiM: A Robust and Efficient FeFET-Based Security Solution Merging Physical Unclonable Function with Compute-in-Memory for Edge AI. Taixin Li, Thomas Kämpfe, Jianfeng Wang, Kai Ni, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li |
| 2025 | PacQ: A SIMT Microarchitecture for Efficient Dataflow in Hyper-asymmetric GEMMs. Ruokai Yin, Yuhang Li, Priyadarshini Panda |
| 2025 | PacTrain: Pruning and Adaptive Sparse Gradient Compression for Efficient Collective Communication in Distributed Deep Learning. Yisu Wang, Ruilong Wu, Xinjiao Li, Dirk Kutscher |
| 2025 | PairGraph: An Efficient Search-space-aware Accelerator for High-performance Concurrent Pairwise Queries. Yutao Fu, Zhongtian Long, Yu Zhang, Zirui He, Jin Zhao, Qiyuan Niu, Zixiao Wang, Hai Jin |
| 2025 | ParGNN: A Scalable Graph Neural Network Training Framework on multi-GPUs. Junyu Gu, Shunde Li, Rongqiang Cao, Jue Wang, Zijian Wang, Zhiqiang Liang, Fang Liu, Shigang Li, Chunbao Zhou, Yangang Wang, Xuebin Chi |
| 2025 | Parallel Dynamic Partitioning for Datapath Combinational Equivalence Checking. Shuai Zhou, Weikang Zhang, Xindi Zhang, Zite Jiang, Haihang You, Shaowei Cai |
| 2025 | PastATPG: A Hybrid ATPG Framework for Better Test Compaction with Partial Assignment SAT. Zhiteng Chao, Xindi Zhang, Xinyu Zhang, Jianan Mu, Zizhen Liu, Shengwen Liang, Shaowei Cai, Jing Ye, Xiaowei Li, Huawei Li |
| 2025 | PatLabor: Pareto Optimization of Timing-Driven Routing Trees. Zhiyang Chen, Hailong Yao, Xia Yin |
| 2025 | PatternPaint: Practical Layout Pattern Generation Using Diffusion-Based Inpainting. Guanglei Zhou, Bhargav Korrapati, Gaurav Rajavendra Reddy, Chen-Chia Chang, Jingyu Pan, Jiang Hu, Yiran Chen, Dipto G. Thakurta |
| 2025 | PiSPICE: Accelerating Post-Layout SPICE Simulation via Essential Parasitic Identification. Zhou Jin, Jing Li, Jian Xin, Tianjia Zhou, Xiao Wu, Dan Niu, Zuochang Ye |
| 2025 | PipeLink: A Pipelined Resource Sharing System for Dataflow High-Level Synthesis. Rui Li, Lincoln Berkley, Rajit Manohar |
| 2025 | Pipirima: Predicting Patterns in Sparsity to Accelerate Matrix Algebra. Ubaid Bakhtiar, Donghyeon Joo, Bahar Asgari |
| 2025 | PoP-ECC: Robust and Flexible Error Correction against Multi-Bit Upsets in DNN Accelerators. Taewon Park, Saeid Gorgin, Dongwhee Kim, Jaeho Shin, Michael B. Sullivan, Jungrae Kim |
| 2025 | Power-Constrained Printed Neuromorphic Hardware Training. Tara Gheshlaghi, Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori |
| 2025 | Power-Grid Structure Exploration with Unified Sequence-based Learning Framework. Yi-Lin Chuang, Hao-Wei Chan, Chih-Yun Yen, Shih-An Hsieh, Ching-Feng Chen, Sheng-Te Lai |
| 2025 | PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device Constraints. Yuanchun Guo, Bingyan Liu, Yulong Sha, Zhensheng Xian |
| 2025 | PreDAC: An Efficient Framework of Pre-Refining Enhanced Design Space Exploration for Approximate Computing. Ziying Cui, Ke Chen, Bi Wu, Yu Gong, Chenggang Yan, Weiqiang Liu |
| 2025 | Precon: A Precision-Convertible Architecture for Accelerating Quantized Deep Learning Models across Various Domains Including LLMs. Jongwoo Park, Hyeonseong Kim, Jiyun Han, Seungkyu Choi |
| 2025 | Principle-based Dataflow Optimization for Communication Lower Bound in Operator-Fused Tensor Accelerator. Lei Xu, Chen Yin, Zelong Yuan, Weiguang Sheng, Jianfei Jiang, Qin Wang, Naifeng Jing |
| 2025 | Process-Variation-Aware Design Optimization for Wavelength-Routed Optical Networks-on-Chip. Liaoyuan Cheng, Mengchu Li, Tsun-Ming Tseng, Martin Schottenloher, Ulf Schlichtmann |
| 2025 | Property-driven Parallel Symbolic Model Checking of LTL. Yuheng Su, Yingcheng Li, Qiusong Yang, Yiwei Ci, Ziyu Huang |
| 2025 | PyraNet: A Multi-Layered Hierarchical Dataset for Verilog. Bardia Nadimi, Ghali Omar Boutaib, Hao Zheng |
| 2025 | Quantum-Resistant Security: PQC Readiness and Research Challenges (Invited). Ashish Kundu, Ramana Kompella |
| 2025 | Query-Based Black-Box Stealthy Sensor Attacks on Cyber-Physical Systems. Shixiong Jiang, Weizhe Xu, Mengyu Liu, Fanxin Kong |
| 2025 | Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders. Jason Zev Ludmir, Sophia Rebello, Jacob Ruiz, Tirthak Patel |
| 2025 | RADiT: Redundancy-Aware Diffusion Transformer Acceleration Leveraging Timestep Similarity. Youngjun Park, Sangyeon Kim, Yeonggeon Kim, Gisan Ji, Sungju Ryu |
| 2025 | RAP-Track: Efficient Control Flow Attestation via Parallel Tracking in Commodity MCUs. Antonio Joia Neto, Adam Caulfield, Ivan De Oliveira Nunes |
| 2025 | RE3: Finding Refinement Relations with Relational Mapping Abstraction. You Li, Guannan Zhao, Yunqi He, Hai Zhou |
| 2025 | REMU: Memory-aware Radiation Emulation via Dual Addressing for In-orbit Deep Learning System. Longnv Xu, Meiqi Wang, Han Qiu, Jun Liu, Yuanjie Li, Hewu Li |
| 2025 | RUPlace: Optimizing Routability via Unified Placement and Routing Formulation. Yifan Chen, Jing Mai, Zuodong Zhang, Yibo Lin |
| 2025 | Ragnar: Exploring Volatile-Channel Vulnerabilities on RDMA NIC. Yunpeng Xu, Yuchen Fan, Teng Ma, Shuwen Deng |
| 2025 | Rank-based Multi-objective Approximate Logic Synthesis via Monte Carlo Tree Search. Yuyang Ye, Xiangfei Hu, Yuchen Liu, Peng Xu, Yu Gong, Tinghuan Chen, Hao Yan, Bei Yu, Longxing Shi |
| 2025 | Re Ning Lin, Yi Li, Yangu He, Songqi Wang, Hegan Chen, Kwunhang Wong, Chuxin Li, Jichang Yang, Yifei Yu, Meng Xu, Yongkang Han, Rui Chen, Xiaoming Chen, Xiaoxin Xu, Jianguo Yang, Dashan Shang, Zhongrui Wang |
| 2025 | ReChisel: Effective Automatic Chisel Code Generation by LLM with Reflection. Juxin Niu, Xiangfeng Liu, Dan Niu, Xi Wang, Zhe Jiang, Nan Guan |
| 2025 | ReMaP: Macro Placement by Recursively Prototyping and Periphery-Guided Relocating. Yunqi Shi, Xi Lin, Siyuan Xu, Shixiong Kai, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou |
| 2025 | ReSMiPS: A ReRAM-based Sparse Mixed-precision Solver with Fast Matrix Reordering Algorithm. Yuyang Fu, Jiancong Li, Jia Chen, Zhiwei Zhou, Houji Zhou, Wenlong Peng, Yi Li, Xiangshui Miao |
| 2025 | ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning. Manaar Alam, Hithem Lamri, Michail Maniatakos |
| 2025 | ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance. Tong Xie, Jiawang Zhao, Zishen Wan, Zuodong Zhang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li |
| 2025 | Real-Time Dynamic IR-drop Prediction for IR ECO. Yu-Che Lee, Yu-Hsuan Chen, Yu-Chen Cheng, Yong-Fong Chang, Jia-Wei Lin, Hsun-Wei Pao, Yung-Chih Chen, Yi-Ting Li, Wuqian Tang, Shih-Chieh Chang, Chun-Yao Wang |
| 2025 | Reinforcement Learning-Driven Window Selection for Enhanced Window-Based Rip-up and Reroute in Chip Detailed Routing. Yu-Chan Keng, Yu-Chun Pai, Wen-Hao Liu, Haoxing Ren, Danny Liu, Rongjian Liang, Mark Ho, Anthony Agnesina, Yih-Lang Li |
| 2025 | Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems. Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique |
| 2025 | ResISC: Residue Number System-Based Integrated Sensing and Computing for Efficient Edge AI. Sepehr Tabrizchi, Samin Sohrabi, Mohamadreza Mohammadi, Ramtin Zand, Shaahin Angizi, Arman Roohi |
| 2025 | Resilient Federated Learning on Embedded Devices with Constrained Network Connectivity. Zihan Li, Han Liu, Ao Li, Ching-Hsiang Chan, Yevgeniy Vorobeychik, William Yeoh, Wenjing Lou, Ning Zhang |
| 2025 | Rewire: Advancing CGRA Mapping Through a Consolidated Routing Paradigm. Zhaoying Li, Dan Wu, Dhananjaya Wijerathne, Dan Chen, Huize Li, Cheng Tan, Tulika Mitra |
| 2025 | Routability-aware Packing for High-density Nonvolatile FPGAs. Huichuan Zheng, Yuqing Xiong, Jian Zuo, Hao Zhang, Zhenge Jia, Mengying Zhao |
| 2025 | SAGA: A Memory-Efficient Accelerator for GANN Construction via Harnessing Vertex Similarity. Ruiyang Chen, Xueyuan Liu, Chunyu Qi, Yuanzheng Yao, Yanan Sun, Xiaoyao Liang, Zhuoran Song |
| 2025 | SAPO: Improving the Scalability and Accuracy of Quantum Linear Solver for Portfolio Optimization. Tianze Zhu, Liqiang Lu, Jiajun Chen, Yuhang Chen, Hengrui Chen, Meng Xi, Jinshan Zhang, Xiaoming Sun, Jianwei Yin |
| 2025 | SCONE: A Logic Locking Technique Utilizing SMT Solver and Circuit Encoding Scheme for Efficient Hardware IP Protection. Zhaokun Han, Daniel Xing, Kostas Amberiadis, Ankur Srivastava, Jeyavijayan (JV) Rajendran |
| 2025 | SDISC: A Spike-Driven Human-Machine Interface with In-Situ Computing for Real-Time Low-Power Interaction. Fangduo Zhu, Jingyi Chen, Jingsong Zhang, Xumeng Zhang, Siyuan Ouyang, Chenyang, Hao Jiang, Xiaonan Yang, Qi Liu |
| 2025 | SDM-PEB: Spatial-Depthwise Mamba for Enhanced Post-Exposure Bake Simulation. Ziyang Yu, Peng Xu, Zixiao Wang, Binwu Zhu, Qipan Wang, Yibo Lin, Runsheng Wang, Bei Yu, Martin D. F. Wong |
| 2025 | SNAPPIX: Efficient-Coding-Inspired In-Sensor Compression for Edge Vision. Weikai Lin, Tianrui Ma, Adith Boloor, Yu Feng, Ruofan Xing, Xuan Zhang, Yuhao Zhu |
| 2025 | SQ-DM: Accelerating Diffusion Models with Aggressive Quantization and Temporal Sparsity. Zichen Fan, Steve Dai, Rangharajan Venkatesan, Dennis Sylvester, Brucek Khailany |
| 2025 | SSDL-ILT: Efficient ILT utilizing a self-supervised deep learning model. Rui Xu, Junqi Yang, Haoxiang Jiang, Ming Fang |
| 2025 | SSDTrain: An Activation Offloading Framework to SSDs for Faster Large Language Model Training. Kun Wu, Jeongmin Brian Park, Xiaofan Zhang, Mert Hidayetoglu, Vikram Sharma Mailthody, Sitao Huang, Steven S. Lumetta, Wen-Mei Hwu |
| 2025 | SSFT: Algorithm and Hardware Co-design for Structured Sparse Fine-Tuning of Large Language Models. Miao Yu, Trevor E. Carlson |
| 2025 | SSpMV: A Sparsity-aware SpMV Framework Empowered by Multimodal Machine Learning. Shengle Lin, Chubo Liu, Yan Ding, Joey Tianyi Zhou, Kenli Li, Wangdong Yang |
| 2025 | STREAM: Spatiotemporal Similarity-based Efficient Approximate Median with Tunable Granularity. Fenfang Li, Huizhang Luo, Weichen Liu, Anthony Theodore Chronopoulos, Kenli Li, Chubo Liu |
| 2025 | STREAMINGGS: Voxel-Based Streaming 3D Gaussian Splatting with Memory Optimization and Architectural Support. Chenqi Zhang, Yu Feng, Jieru Zhao, Guangda Liu, Wenchao Ding, Chentao Wu, Minyi Guo |
| 2025 | Scalable Community Detection Using Quantum Hamiltonian Descent and QUBO Formulation. Jinglei Cheng, Ruilin Zhou, Yuhang Gan, Chen Qian, Junyu Liu |
| 2025 | Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling. Chaojian Li, Zhifan Ye, Massimiliano Lupo Pasini, Jong Youl Choi, Cheng Wan, Prasanna Balaprakash |
| 2025 | SeDA: Secure and Efficient DNN Accelerators with Hardware/Software Synergy. Wei Xuan, Zhongrui Wang, Lang Feng, Ning Lin, Zihao Xuan, Rongliang Fu, Tsung-Yi Ho, Yuzhong Jiao, Luhong Liang |
| 2025 | SeIM: In-Memory Acceleration for Approximate Nearest Neighbor Search. Chaoqiang Liu, Dan Chen, Yu Huang, Wenjing Xiao, Haifeng Liu, Yi Zhang, Huize Li, Xiaofei Liao, Hai Jin |
| 2025 | Secondary-Power-Cell-Aware Detailed Placement in Multiple Power Domain Designs. Yu-Wei Chang, Shao-Yun Fang, Kai-Chuan Yang, Min-Ching Lin |
| 2025 | Security Opportunities and Challenges for Disaggregated Architectures (Invited). Elisa Bertino, Imtiaz Karim, Ashish Kundu |
| 2025 | Security of Approximate Neural Networks against Power Side-channel Attacks. Aditya Japa, Jack Miskelly, Máire O'Neill, Chongyan Gu |
| 2025 | Segmented Angular Pre-Processing for Accurate and Efficient In-Memory Vector Similarity Search. Chi-Tse Huang, Jen-Chieh Wang, Hsiang-Yun Cheng, An-Yeu Andy Wu |
| 2025 | Self-Attention to Operator Learning-based 3D-IC Thermal Simulation. Zhen Huang, Hong Wang, Wenkai Yang, Muxi Tang, Depeng Xie, Ting-Jung Lin, Yu Zhang, Wei W. Xing, Lei He |
| 2025 | SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI System. Ziang Yin, Meng Zhang, Nicholas Gangi, Z. Rena Huang, Jeff Jun Zhang, Jiaqi Gu |
| 2025 | Simulation-based Parallel Sweeping: A New Perspective on Combinational Equivalence Checking. Tianji Liu, Evangeline F. Y. Young |
| 2025 | SmaRTLy: RTL Optimization with Logic Inferencing and Structural Rebuilding. Chengxi Li, Yang Sun, Lei Chen, Yiwen Wang, Mingxuan Yuan, Evangeline F. Y. Young |
| 2025 | SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding. Linye Wei, Shuzhang Zhong, Songqiang Xu, Runsheng Wang, Ru Huang, Meng Li |
| 2025 | Speculative Decoding for Verilog: Speed and Quality, All in One. Changran Xu, Yi Liu, Yunhao Zhou, Shan Huang, Ningyi Xu, Qiang Xu |
| 2025 | Sphinx: A High-Performance Hybrid Index for Disaggregated Memory With Succinct Filter Cache. Jingxiang Li, Shengan Zheng, Bowen Zhang, Hankun Dong, Linpeng Huang |
| 2025 | SplitSync: Bank Group-Level Split-Synchronization for High-Performance DRAM PIM. Byungkuk Yoon, SangHyeok Han, Gyeonghwan Park, Jae-Joon Kim |
| 2025 | StreamCSD: SSD-Autonomous Stream Management via In-Storage Content Learning. Wenjie Li, Xiang Chen, Yelin Shan, Jiapin Wang, Yunxin Huang, Yafei Yang, Tao Lu, You Zhou, Fei Wu |
| 2025 | SuperCopyback: Revisiting Copyback on Modern High-Performance NAND Flash-based SSDs. Dong Huang, Bo Ding, Wei Tong, Dan Feng |
| 2025 | SuperFast: Fast Supernet Training Using Initial Knowledge. Moritz Thoma, Emad Aghajanzadeh, Shambhavi Balamuthu Sampath, Pierpaolo Morì, Nael Fasfous, Alexander Frickenstein, Manoj Rohit Vemparala, Daniel Mueller-Gritschneder, Ulf Schlichtmann |
| 2025 | Supporting Register-based Addressing Modes for in-DRAM PIM ISAs. Seok Young Kim, Byung Ho Choi, Seokwon Kang, Yongjun Park, Seon Wook Kim |
| 2025 | Swift or Exact? Boosting Efficient Microarchitecture DSE via Multi-fidelity Partial Order Prediction. Hang Liu, Hao Geng, Zhuolun He, Qi Sun, Cheng Zhuo |
| 2025 | SynCircuit: Automated Generation of New Synthetic RTL Circuits Can Enable Big Data in Circuits. Shang Liu, Jing Wang, Wenji Fang, Zhiyao Xie |
| 2025 | SynGPU: Synergizing CUDA and Bit-Serial Tensor Cores for Vision Transformer Acceleration on GPU. Yuanzheng Yao, Chen Zhang, Chunyu Qi, Ruiyang Chen, Jun Wang, Zhihui Fu, Naifeng Jing, Xiaoyao Liang, Zhuoran Song |
| 2025 | Synergistic Die-Level Router for Multi-FPGA System with Time-Division Multiplexing Optimization. Jiarui Wang, Yanjing Liu, Yibo Lin |
| 2025 | Synthesis of CFET Cell Library Leveraging Backside Metal Routing. Ting-Xin Lin, Yih-Lang Li |
| 2025 | TAXI: Traveling Salesman Problem Accelerator with X-bar-based Ising Macros Powered by SOT-MRAMs and Hierarchical Clustering. Sangmin Yoo, Amod Holla, Sourav Sanyal, Dong Eun Kim, Francesca Iacopi, Dwaipayan Biswas, James Myers, Kaushik Roy |
| 2025 | TetrisLock: Quantum Circuit Split Compilation with Interlocking Patterns. Qian Wang, Jayden John, Ben Dong, Yuntao Liu |
| 2025 | The Unwritten Contract of Cloud-based Elastic Solid-State Drives. Yingjia Wang, Ming-Chang Yang |
| 2025 | To Tackle Cost-Skew Tradeoff: An Adaptive Learning Approach for Hub Node Selection. Guowei Sun, Lin Chen, Qiming Huang, Hu Ding |
| 2025 | Towards In-Situ Neuromorphic Computing Architecture for Event Stream Super-Resolution. Yihe Yu, Bo Li, Kexin Huang, Wei Liu, Jinghai Wang, Yue Liu, Zhiyi Yu, Shanlin Xiao |
| 2025 | Towards Secure Data Management using Multi-Cryptographic Solutions (Invited). Shufan Zhang, Xi He, Ashish Kundu, Sujaya Maiyya, Sharad Mehrotra, Shantanu Sharma |
| 2025 | Towards Training Robustness Against Dynamic Errors in Quantum Machine Learning. Shijin Duan, Gaowen Liu, Charles Fleming, Ramana Kompella, Xiaolin Xu, Shaolei Ren |
| 2025 | Towards Uncertainty-aware Robotic Perception via Mixed-signal BNN Engine Leveraging Probabilistic Quantum Tunneling. Likai Pei, Yu Zhou, Xingtian Wang, Xueji Zhao, Wanxin Huang, Boyang Cheng, Halid Mulaosmanovic, Stefan Dünkel, Dominik Kleimaier, Sven Beyer, Kai Ni, Mengxue Hou, Michael T. Niemier, Ningyuan Cao |
| 2025 | TransRoute: A Novel Hierarchical Transistor-Level Routing Framework Beyond Standard-Cell Methodology. Chen-Hao Hsu, David Z. Pan, Laurent Perron, Frédéric Didier, Xiaoqing Xu, Hao Chen |
| 2025 | Tropical: Enhancing SLO Attainment in Disaggregated LLM Serving via SLO-Aware Multiplexing. Jinming Ma, Jiefei Chen, Xiuhong Li, Jiangfei Duan, Haojie Duanmu, Xingcheng Zhang, Chao Yang, Dahua Lin |
| 2025 | Truly Pre-Routing Timing Prediction via Considering Power Delivery Network. Yuyang Ye, Mingwei He, Lizheng Ren, Jianwang Zhai, Tinghuan Chen, Jun Yang, Longxing Shi |
| 2025 | UPVSS: Jointly Managing Vector Similarity Search with Near-Memory Processing Systems. Chun-Chien Liu, Chun-Feng Wu, Yunho Jin |
| 2025 | UVLLM: An Automated Universal RTL Verification Framework using LLMs. Yuchen Hu, Junhao Ye, Ke Xu, Jialin Sun, Shiyue Zhang, Xinyao Jiao, Dingrong Pan, Jie Zhou, Ning Wang, Weiwei Shan, Xinwei Fang, Xi Wang, Nan Guan, Zhe Jiang |
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| 2025 | UniCAIM: A Unified CAM/CIM Architecture with Static-Dynamic KV Cache Pruning for Efficient Long-Context LLM Inference. Weikai Xu, Wenxuan Zeng, Qianqian Huang, Meng Li, Ru Huang |
| 2025 | UniCoS: A Unified Neural and Accelerator Co-Search Framework for CNNs and ViTs. Wei Fu, Wenqi Lou, Cheng Tang, Hongbing Wen, Yunji Qin, Lei Gong, Chao Wang, Xuehai Zhou |
| 2025 | Unlocking a New Rust Programming Experience: Fast and Slow Thinking with LLMs to Conquer Undefined Behaviors. Renshuang Jiang, Pan Dong, Zhenling Duan, Yu Shi, XiaoXiang Fang, Yan Ding, Jun Ma, Shuai Zhao, Zhe Jiang |
| 2025 | VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator. Zhican Wang, Hongxiang Fan, Haroon Waris, Gang Wang, Zhenyu Li, Jianfei Jiang, Yanan Sun, Guanghui He |
| 2025 | VISTA: Optimizing GPU Scheduling through Versatile Locality-Aware Data Sharing. Hajar Falahati, Negin Mahani, Adrián Cristal, Osman S. Unsal |
| 2025 | VQT-CiM: Accelerating Vector Quantization Enhanced Transformer with Ferroelectric Compute-in-Memory. Xuchu Huang, Haonan Du, Min Zhou, Zheyu Yan, Cheng Zhuo, Xunzhao Yin |
| 2025 | VSpGEMM: Exploiting Versal ACAP for High-Performance SpGEMM Acceleration. Kai Shi, Zhe Lin, Xinya Luan, Jianwang Zhai, Kang Zhao |
| 2025 | VersaSlot: Efficient Fine-grained FPGA Sharing with Big.Little Slots and Live Migration in FPGA Cluster. Jianfeng Gu, Hao Wang, Xiaorang Guo, Martin Schulz, Michael Gerndt |
| 2025 | Versatile Cross-platform Compilation Toolchain for Schrödinger-style Quantum Circuit Simulation. Yuncheng Lu, Shuang Liang, Hongxiang Fan, Ce Guo, Wayne Luk, Paul H. J. Kelly |
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| 2025 | Weighted Range-Constrained Ising-Model Decoder for Quantum Error Correction. Xinyi Guo, Hiromitsu Awano, Takashi Sato |
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| 2025 | XShift: FPGA-efficient Binarized LLM with Joint Quantization and Sparsification. Shuai Zhou, Huinan Tian, Sisi Meng, Jianli Chen, Jun Yu, Kun Wang |
| 2025 | YAP: Yield Modeling and Simulation for Advanced Packaging. Zhichao Chen, Puneet Gupta |
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| 2025 | ZK-Hammer: Leaking Secrets from Zero-Knowledge Proofs via Rowhammer. Junkai Liang, Xing Zhang, Daqi Hu, Qingni Shen, Yuejian Fang, Zhonghai Wu |
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| 2025 | ZenLeak: Practical Last-Level Cache Side-Channel Attacks on AMD Zen Processors. Han Wang, Ming Tang, Quancheng Wang, Ke Xu, Yinqian Zhang |
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