DAC A*

371 papers

YearTitle / Authors
20243D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits.
Yujie Zhao, Yang Katie Zhao, Cheng Wan, Yingyan (Celine) Lin
20244-Transistor Ternary Content Addressable Memory Cell Design using Stacked Hybrid IGZO/Si Transistors.
Munhyeon Kim, Jae-Joon Kim
2024A Cache/Algorithm Co-design for Parallel Real-Time Systems with Data Dependency on Multi/Many-core System-on-Chips.
Zhe Jiang, Shuai Zhao, Ran Wei, Yiyang Gao, Jing Li
2024A Combined Content Addressable Memory and In-Memory Processing Approach for k-Clique Counting Acceleration.
Xidi Ma, Weichen Zhang, Xueyan Wang, Tianyang Yu, Bi Wu, Gang Qu, Weisheng Zhao
2024A Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems.
Francesco Giulio Blanco, Enrico Russo, Maurizio Palesi, Davide Patti, Giuseppe Ascia, Vincenzo Catania
2024A HW/SW Co-Design of Video Dehazing Accelerator Using Decoupled Local Atmospheric Light Prior.
Yanjie Tan, Yifu Zhu, Zhaoyang Huang, Feiteng Nie, Huailiang Tan
2024A High Level Approach to Co-Designing 3D ICs.
Daniel Xing, Ankur Srivastava
2024A High-Performance Stochastic Simulated Bifurcation Ising Machine.
Tingting Zhang, Hongqiao Zhang, Zhengkun Yu, Siting Liu, Jie Han
2024A High-Throughput Private Inference Engine Based on 3D Stacked Memory.
Zhaohui Chen, Ling Liang, Qi Liu, Zhirui Li, Fahong Zhang, Yanheng Lu, Zhen Gu
2024A Holistic Functionalization Approach to Optimizing Imperative Tensor Programs in Deep Learning.
Jinming Ma, Xiuhong Li, Zihan Wang, Xingcheng Zhang, Shengen Yan, Yuting Chen, Yueqian Zhang, Minxi Jin, Lijuan Jiang, Yun Liang, Chao Yang, Dahua Lin
2024A RRAM-based High Energy-efficient Accelerator Supporting Multimodal Tasks for Virtual Reality Wearable Devices.
Xin Zhao, Zhicheng Hu, Zilong Guo, Haodong Fan, Xi Yang, Jing Zhou, Liang Chang
2024A Real-time Execution System of Multimodal Transformer through PIM-GPU Collaboration.
Shengyi Ji, Chubo Liu, Yan Ding, Qing Liao, Zhuo Tang
2024A Software-Hardware Co-design Solution for 3D Inner Structure Reconstruction.
Xingchen Li, Zhe Zhou, Qilin Zheng, Guangyu Sun, Qiankun Wang, Chenhao Xue
2024AIG-CIM: A Scalable Chiplet Module with Tri-Gear Heterogeneous Compute-in-Memory for Diffusion Acceleration.
Yiqi Jing, Meng Wu, Jiaqi Zhou, Yiyang Sun, Yufei Ma, Ru Huang, Tianyu Jia, Le Ye
2024ALVEARE: a Domain-Specific Framework for Regular Expressions.
Filippo Carloni, Davide Conficconi, Marco D. Santambrogio
2024APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Models.
Ziyi Guan, Hantao Huang, Yupeng Su, Hong Huang, Ngai Wong, Hao Yu
2024AccMoS: Accelerating Model Simulation for Simulink via Code Generation.
Yifan Cheng, Zehong Yu, Zhuo Su, Ting Chen, Xiaosong Zhang, Yu Jiang
2024Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS.
Afzal Ahmad, Linfeng Du, Zhiyao Xie, Wei Zhang
2024Accelerating DTCO with a Sample-Efficient Active Learning Framework for TCAD Device Modeling.
Chanwoo Park, Junghwan Park, Premkumar Vincent, Hyunbo Cho
2024Accelerating Regular Path Queries over Graph Database with Processing-in-Memory.
Ruoyan Ma, Shengan Zheng, Guifeng Wang, Jin Pu, Yifan Hua, Wentao Wang, Linpeng Huang
2024AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems.
Chentao Jia, Ming Hu, Zekai Chen, Yanxin Yang, Xiaofei Xie, Yang Liu, Mingsong Chen
2024AdderNet 2.0: Optimal FPGA Acceleration of AdderNet with Activation-Oriented Quantization and Fused Bias Removal based Memory Optimization.
Yunxiang Zhang, Omar Al Kailani, Wenfeng Zhao
2024Addition is Most You Need: Efficient Floating-Point SRAM Compute-in-Memory by Harnessing Mantissa Addition.
Weidong Cao, Jian Gao, Xin Xin, Xuan Zhang
2024AdvHunter: Detecting Adversarial Perturbations in Black-Box Neural Networks through Hardware Performance Counters.
Manaar Alam, Michail Maniatakos
2024Advanced Reinforcement Learning Algorithms to Optimize Design Verification.
Zahra Aref, Rohit Suvarna, Bill Hughes, Sandeep Srinivasan, Narayan B. Mandayam
2024Advanced gate-level glitch modeling using ANNs.
Anastasis Vagenas, Dimitrios Garyfallou, Nestor E. Evmorfopoulos, George I. Stamoulis
2024Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption.
Jianan Mu, Husheng Han, Shangyi Shi, Jing Ye, Zizhen Liu, Shengwen Liang, Meng Li, Mingzhe Zhang, Song Bian, Xing Hu, Huawei Li, Xiaowei Li
2024Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference.
Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John Gustafson, Tushar Krishna
2024An Efficient Hardware Accelerator Design for Dynamic Graph Convolutional Network (DGCN) Inference.
Yingnan Zhao, Ke Wang, Jiaqi Yang, Ahmed Louri
2024An IP-Agnostic Foundational Cell Array Offering Supply Chain Security.
Christopher Talbot, Deepali Garg, Lawrence T. Pileggi, Kenneth Mai
2024An In-Memory Computing Accelerator with Reconfigurable Dataflow for Multi-Scale Vision Transformer with Hybrid Topology.
Zhiyuan Chen, Yufei Ma, Keyi Li, Yifan Jia, Guoxiang Li, Meng Wu, Tianyu Jia, Le Ye, Ru Huang
2024An NTT/INTT Accelerator with Ultra-High Throughput and Area Efficiency for FHE.
Zhaojun Lu, Weizong Yu, Peng Xu, Wei Wang, Jiliang Zhang, Dengguo Feng
2024Annotating Slack Directly on Your Verilog: Fine-Grained RTL Timing Evaluation for Early Optimization.
Wenji Fang, Shang Liu, Hongce Zhang, Zhiyao Xie
2024Arbitrary-size Multi-layer OARSMT RL Router Trained with Combinatorial Monte-Carlo Tree Search.
Liang-Ting Chen, Hung-Ru Kuo, Yih-Lang Li, Mango C.-T. Chao
2024Architectural Whispers: Robust Machine Learning Models Fingerprinting via Frequency Throttling Side-Channels.
Najmeh Nazari, Chongzhou Fang, Hosein Mohammadi Makrani, Behnam Omidi, Mahdi Eslamimehr, Setareh Rafatirad, Avesta Sasan, Hossein Sayadi, Khaled N. Khasawneh, Houman Homayoun
2024Artisan: Automated Operational Amplifier Design via Domain-specific Large Language Model.
Zihao Chen, Jiangli Huang, Yiting Liu, Fan Yang, Li Shang, Dian Zhou, Xuan Zeng
2024Auto-ISP: An Efficient Real-Time Automatic Hyperparameter Optimization Framework for ISP Hardware System.
Jiaming Liu, Zihao Liu, Xuan Huang, Ruoxi Zhu, Qi Zheng, Zhijian Hao, Tao Liu, Jun Tao, Yibo Fan
2024BNN-YEO: an efficient Bayesian Neural Network for yield estimation and optimization.
Zhenxing Dou, Ming Cheng, Ming Jia, Peng Wang
2024Balloon-ZNS: Constructing High-Capacity and Low-Cost ZNS SSDs with Built-in Compression.
Yu Wang, Zibin Sun, You Zhou, Tao Lu, Changsheng Xie, Fei Wu
2024Beyond Conventional Defenses: Proactive and Adversarial-Resilient Hardware Malware Detection using Deep Reinforcement Learning.
Zhangying He, Houman Homayoun, Hossein Sayadi
2024Beyond Inference: Performance Analysis of DNN Server Overheads for Computer Vision.
Ahmed F. AbouElhamayed, Susanne Balle, Deshanand P. Singh, Mohamed S. Abdelfattah
2024Binding Multi-bit Flip-flop Cells through Design and Technology Co-optimization.
Jooyeon Jeong, Taewhan Kim
2024Bitwise Adaptive Early Termination in Hyperdimensional Computing Inference.
Wei-Chen Chen, H.-S. Philip Wong, Sara Achour
2024Boolean Matching Reversible Circuits: Algorithm and Complexity.
Tian-Fu Chen, Jie-Hong Roland Jiang
2024C-Nash: A Novel Ferroelectric Computing-in-Memory Architecture for Solving Mixed Strategy Nash Equilibrium.
Yu Qian, Kai Ni, Thomas Kämpfe, Cheng Zhuo, Xunzhao Yin
2024CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning.
Xiaoxiao Liang, Haoyu Yang, Kang Liu, Bei Yu, Yuzhe Ma
2024CAMPER: Exploring the Potential of Content Addressable Memory for 3D Point Cloud Efficient Range Search.
Jiapei Zheng, Lizhou Wu, Yutong Su, Jingyi Wang, Zhangcheng Huang, Chixiao Chen, Qi Liu
2024CAP: A General Purpose Computation-in-memory with Content Addressable Processing Paradigm.
Zhiheng Yue, Shaojun Wei, Yang Hu, Shouyi Yin
2024CDA-GNN: A Chain-driven Accelerator for Efficient Asynchronous Graph Neural Network.
Hui Yu, Yu Zhang, Ligang He, Donghao He, Qikun Li, Jin Zhao, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu
2024CDLS: Constraint Driven Generative AI Framework for Analog Layout Synthesis.
Prasanth Mangalagiri, Lynn Qian, Farrukh Zafar, Praveen Mosalikanti, Phoebe Chang, Arun Kurian, Vinay Saripalli
2024CDS: An Anti-Aging Calibratable Digital Sensor for Detecting Multiple Types of Fault Injection Attacks.
Zhiyuan Chen, Kun Yang, Kui Ren
2024CEDAR: Computing-in-pixel Edge-aware Detection and Reconstruction Architecture for High-resolution 3D Imaging.
Bu Chen, Zhangcheng Huang, Qi Zheng, Weiyi Tang, Jingyi Wang, Hankun Lv, Chixiao Chen, Jianlu Wang, Qi Liu
2024CFTCG: Test Case Generation for Simulink Model through Code Based Fuzzing.
Zhuo Su, Zehong Yu, Dongyan Wang, Rui Wang, Yang Tao, Yu Jiang
2024CLUMAP: Clustered Mapper for CGRAs with Predication.
Omar Ragheb, Jason Helge Anderson
2024CSTrans-OPU: An FPGA-based Overlay Processor with Full Compilation for Transformer Networks via Sparsity Exploration.
Yueyin Bai, Keqing Zhao, Yang Liu, Hongji Wang, Hao Zhou, Xiaoxing Wu, Jun Yu, Kun Wang
2024Cache-aware Task Decomposition for Efficient Intermittent Computing Systems.
Shuo Xu, Wei Zhang, Mengying Zhao, Zimeng Zhou, Lei Ju
2024ChatCPU: An Agile CPU Design and Verification Platform with LLM.
Xi Wang, Gwok-Waa Wan, Sam-Zaak Wong, Layton Zhang, Tianyang Liu, Qi Tian, Jianmin Ye
2024ChatPattern: Layout Pattern Customization via Natural Language.
Zixiao Wang, Yunheng Shen, Xufeng Yao, Wenqian Zhao, Yang Bai, Farzan Farnia, Bei Yu
2024Chiplever: Towards Effortless Extension of Chiplet-based System for FHE.
Yibo Du, Ying Wang, Bing Li, Fuping Li, Shengwen Liang, Huawei Li, Xiaowei Li, Yinhe Han
2024CircuitVAE: Efficient and Scalable Latent Circuit Optimization.
Jialin Song, Aidan M. Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro
2024Co-Via: A Video Frame Interpolation Accelerator Exploiting Codec Information Reuse.
Haishuang Fan, Qichu Sun, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan
2024Combining Parameterized Pulses and Contextual Subspace for More Practical VQE.
Zhiding Liang, Zhixin Song, Jinglei Cheng, Hang Ren, Tianyi Hao, Rui Yang, Yiyu Shi, Tongyang Li
2024Compact and Efficient CAM Architecture through Combinatorial Encoding and Self-Terminating Searching for In-Memory-Searching Accelerator.
Weikai Xu, Jin Luo, Qianqian Huang, Ru Huang
2024Conclave - Secure and Robust Cooperative Perception for Connected Autonomous Vehicle Using Authenticated Consensus and Trust Scoring.
Edward Andert, Francis Mendoza, Hans Walter Behrens, Aviral Shrivastava
2024Concurrent Detailed Routing with Pin Pattern Re-generation for Ultimate Pin Access Optimization.
Ying-Jie Jiang, Shao-Yun Fang
2024Conjuring: Leaking Control Flow via Speculative Fetch Attacks.
Ali Hajiabadi, Trevor E. Carlson
2024Control Flow Divergence Optimization by Exploiting Tensor Cores.
Weiguang Pang, Xu Jiang, Songran Liu, Lei Qiao, Kexue Fu, Longxiang Gao, Wang Yi
2024Crop: An Analytical Cost Model for Cross-Platform Performance Prediction of Tensor Programs.
Xinyu Sun, Yu Zhang, Shuo Liu, Yi Zhai
2024Cross-Layer Exploration and Chip Demonstration of In-Sensor Computing for Large-Area Applications with Differential-Frame ROM-Based Compute-In-Memory.
Jialong Liu, Wenjun Tang, Deyun Chen, Chen Jiang, Huazhong Yang, Xueqing Li
2024Cross-Layer Reliability Evaluation and Efficient Hardening of Large Vision Transformers Models.
Lucas Roquet, Fernando Fernandes dos Santos, Paolo Rech, Marcello Traiola, Olivier Sentieys, Angeliki Kritikakou
2024DACPara: A Divide-and-Conquer Parallel Approach for High-Quality Logic Rewriting in Large-Scale Circuits.
Nanjiang Qu, Cong Tian, Zhenhua Duan
2024DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing.
Yansong Xu, Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Zilong Wang, Gang Wang, Zhican Wang, Haomin Li, Guanghui He
2024DGR: Differentiable Global Router.
Wei Li, Rongjian Liang, Anthony Agnesina, Haoyu Yang, Chia-Tung Ho, Anand Rajaram, Haoxing Ren
2024DH-TRNG: A Dynamic Hybrid TRNG with Ultra-High Throughput and Area-Energy Efficiency.
Yuan Zhang, Kuncai Zhong, Jiliang Zhang
2024DL2Fence: Integrating Deep Learning and Frame Fusion for Enhanced Detection and Localization of Refined Denial-of-Service in Large-Scale NoCs.
Haoyu Wang, Basel Halak, Jianjie Ren, Ahmad Atamli
2024DNN-Defender: A Victim-Focused In-DRAM Defense Mechanism for Taming Adversarial Weight Attack on DNNs.
Ranyang Zhou, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi
2024Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework.
Kaiyan Chang, Kun Wang, Nan Yang, Ying Wang, Dantong Jin, Wenlong Zhu, Zhirong Chen, Cangyuan Li, Hao Yan, Yunhao Zhou, Zhuoliang Zhao, Yuan Cheng, Yudong Pan, Yiqi Liu, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li
2024Data-Efficient Conformalized Interval Prediction of Minimum Operating Voltage Capturing Process Variations.
Yuxuan Yin, Rebecca Chen, Chen He, Peng Li
2024Data-driven HLS optimization for reconfigurable accelerators.
Aggelos Ferikoglou, Andreas Kosmas Kakolyris, Vasilis Kypriotis, Dimosthenis Masouros, Dimitrios Soudris, Sotirios Xydis
2024Deep Harmonic Finesse: Signal Separation in Wearable Systems with Limited Data.
Mahya Saffarpour, Weitai Qian, Kourosh Vali, Begum Kasap, Herman L. Hedriana, Soheil Ghiasi
2024Deep Reorganization: Retaining Residuals in TinyML.
Hashan Roshantha Mendis, Chih-Kai Kang, Chun-Han Lin, Ming-Syan Chen, Pi-Cheng Hsiu
2024DeepRIoT: Continuous Integration and Deployment of Robotic-IoT Applications.
Meixun Qu, Jie He, Zlatan Tucakovic, Ezio Bartocci, Dejan Nickovic, Haris Isakovic, Radu Grosu
2024Defending against Adversarial Patches using Dimensionality Reduction.
Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
2024Design of a Quantum Walk Circuit to Solve the Subset-Sum Problem.
Giacomo Lancellotti, Simone Perriello, Alessandro Barenghi, Gerardo Pelosi
2024Digital CIM with Noisy SRAM Bit: A Compact Clustered Annealer for Large-Scale Combinatorial Optimization.
Anni Lu, Junmo Lee, Yuan-Chun Luo, Hai Li, Ian A. Young, Shimeng Yu
2024Disentangle, Align and Generalize: Learning A Timing Predictor from Different Technology Nodes.
Xinyun Zhang, Binwu Zhu, Fangzhou Liu, Ziyi Wang, Peng Xu, Hong Xu, Bei Yu
2024Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems.
Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Weichen Liu
2024Drift: Leveraging Distribution-based Dynamic Precision Quantization for Efficient Deep Neural Network Acceleration.
Lian Liu, Zhaohui Xu, Yintao He, Ying Wang, Huawei Li, Xiaowei Li, Yinhe Han
2024Duet: A Collaborative User Driven Recommendation System for Edge Devices.
Vidushi Goyal, Valeria Bertacco, Reetuparna Das
2024DySpMM: From Fix to Dynamic for Sparse Matrix-Matrix Multiplication Accelerators.
Hongyi Wang, Kai Zhong, Haoyu Zhang, Shulin Zeng, Zhenhua Zhu, Xinhao Yang, Shuang Wang, Guohao Dai, Huazhong Yang, Yu Wang
2024Dyn-Bitpool: A Two-sided Sparse CIM Accelerator Featuring a Balanced Workload Scheme and High CIM Macro Utilization.
Xujiang Xiang, Zhiheng Yue, Yuxuan Li, Liuxin Lv, Shaojun Wei, Yang Hu, Shouyi Yin
2024E-Syn: E-Graph Rewriting with Technology-Aware Cost Functions for Logic Synthesis.
Chen Chen, Guangyu Hu, Dongsheng Zuo, Cunxi Yu, Yuzhe Ma, Hongce Zhang
2024EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Unified Compression and Adaptive Layer Voting.
Zhongzhi Yu, Zheng Wang, Yuhan Li, Ruijie Gao, Xiaoya Zhou, Sreenidhi Reddy Bommu, Yang Katie Zhao, Yingyan (Celine) Lin
2024EGMA: Enhancing Data Reuse and Workload Balancing in Message Passing GNN Acceleration via Gram Matrix Optimization.
Fangzhou Ye, Lingxiang Yin, Amir Ghazizadeh Ahsaei, Hao Zheng
2024EMOGen: Enhancing Mask Optimization via Pattern Generation.
Su Zheng, Yuzhe Ma, Bei Yu, Martin D. F. Wong
2024EOS: An Energy-Oriented Attack Framework for Spiking Neural Networks.
Ning Yang, Fangxin Liu, Zongwu Wang, Haomin Li, Zhuoran Song, Songwen Pei, Li Jiang
2024EPIM: Efficient Processing-In-Memory Accelerators based on Epitome.
Chenyu Wang, Zhen Dong, Daquan Zhou, Zhenhua Zhu, Yu Wang, Jiashi Feng, Kurt Keutzer
2024EVDMARL: Efficient Value Decomposition-based Multi-Agent Reinforcement Learning with Domain-Randomization for Complex Analog Circuit Design Migration.
Handa Sun, Zhaori Bi, Wenning Jiang, Ye Lu, Changhao Yan, Fan Yang, Wenchuang Hu, Sheng-Guo Wang, Dian Zhou, Xuan Zeng
2024EasyACIM: An End-to-End Automated Analog CIM with Synthesizable Architecture and Agile Design Space Exploration.
Haoyi Zhang, Jiahao Song, Xiaohan Gao, Xiyuan Tang, Yibo Lin, Runsheng Wang, Ru Huang
2024EdGeo: A Physics-guided Generative AI Toolkit for Geophysical Monitoring on Edge Devices.
Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo Lin, Lei Yang
2024Effective Quantum Resource Optimization via Circuit Resizing in BQSKit.
Siyuan Niu, Akel Hashim, Costin Iancu, Wibe Albert de Jong, Ed Younis
2024Effectively Sanitizing Embedded Operating Systems.
Jianzhong Liu, Yuheng Shen, Yiru Xu, Hao Sun, Heyuan Shi, Yu Jiang
2024Efficient Approximate Decomposition Solver using Ising Model.
Weihua Xiao, Tingting Zhang, Xingyue Qian, Jie Han, Weikang Qian
2024Efficient Bilevel Source Mask Optimization.
Guojin Chen, Hongquan He, Peng Xu, Hao Geng, Bei Yu
2024Efficient Code Generation for Data-Intensive Simulink Models via Redundancy Elimination.
Zehong Yu, Zhuo Su, Yu Jiang, Aiguo Cui, Rui Wang
2024Efficient Equivalence Checking of Nonlinear Analog Circuits using Gradient Ascent.
Kemal Çaglar Coskun, Muhammad Hassan, Lars Hedrich, Rolf Drechsler
2024Efficient ILT via Multigrid-Schwartz Method.
Shuyuan Sun, Fan Yang, Bei Yu, Li Shang, Dian Zhou, Xuan Zeng
2024Efficient Memory Integration: MRAM-SRAM Hybrid Accelerator for Sparse On-Device Learning.
Fan Zhang, Amitesh Sridharan, Wilman Tsai, Yiran Chen, Shan X. Wang, Deliang Fan
2024Efficient Open Modification Spectral Library Searching in High-Dimensional Space with Multi-Level-Cell Memory.
Keming Fan, Wei-Chen Chen, Sumukh Pinge, H.-S. Philip Wong, Tajana Rosing
2024ElasticZRAM: Revisiting ZRAM for Swapping on Mobile Devices.
Wentong Li, Dingcui Yu, Yunpeng Song, Longfei Luo, Liang Shi
2024EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models.
Ruisi Zhang, Farinaz Koushanfar
2024EnTurbo: Accelerate Confidential Serverless Computing via Parallelizing Enclave Startup Procedure.
Yifan Zhu, Peinan Li, Yunkai Bai, Yubiao Huang, Shiwen Wang, Xingbin Wang, Dan Meng, Rui Hou
2024Enabling Low Latency for ECQF based Flow Aggregation Scheduling in Time-Sensitive Networking.
Ping Liu, Tong Zhang, Xiaoqin Feng, Yanying Ma, Fengyuan Ren
2024Enabling Multiple Tensor-wise Operator Fusion for Transformer Models on Spatial Accelerators.
Lei Xu, Zhiwen Mo, Qin Wang, Jianfei Jiang, Naifeng Jing
2024Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis.
Ruiyang Qin, Jun Xia, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Peipei Zhou, Jingtong Hu, Yiyu Shi
2024Energy Efficient Dual Designs of FeFET-Based Analog In-Memory Computing with Inherent Shift-Add Capability.
Zeyu Yang, Qingrong Huang, Yu Qian, Kai Ni, Thomas Kämpfe, Xunzhao Yin
2024Energy-efficient SNN Architecture using 3nm FinFET Multiport SRAM-based CIM with Online Learning.
Lucas Huijbregts, Hsiao-Hsuan Liu, Paul Detterer, Said Hamdioui, Amirreza Yousefzadeh, Rajendra Bishnoi
2024Engineering an Efficient Preprocessor for Model Counting.
Mate Soos, Kuldeep S. Meel
2024Enhancing 3-D Random Walk Capacitance Solver with Analytic Surface Green's Functions of Transition Cubes.
Jiechen Huang, Wenjian Yu
2024Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms.
Shrihari Sridharan, Surya Selvam, Kaushik Roy, Anand Raghunathan
2024Evaluating the Security of Logic Locking on Deep Neural Networks.
You Li, Guannan Zhao, Yunqi He, Hai Zhou
2024Every Failure Is A Lesson: Utilizing All Failure Samples To Deliver Tuning-Free Efficient Yield Evaluation.
Wei W. Xing, Yanfang Liu, Weijian Fan, Lei He
2024Execution Sequence Optimization for Processing In-Memory using Parallel Data Preparation.
Muhammad Rashedul Haq Rashed, Sven Thijssen, Dominic Simon, Sumit Jha, Rickard Ewetz
2024Explainable Fuzzy Neural Network with Multi-Fidelity Reinforcement Learning for Micro-Architecture Design Space Exploration.
Hanwei Fan, Ya Wang, Sicheng Li, Tingyuan Liang, Wei Zhang
2024FCM: A Fusion-aware Wire Cutting Approach for Measurement-based Quantum Computing.
Zewei Mo, Yingheng Li, Aditya Pawar, Xulong Tang, Jun Yang, Youtao Zhang
2024FDCA: Fine-grained Digital-CIM based CNN Accelerator with Hybrid Quantization and Weight-Stationary Dataflow.
Bo Liu, Qingwen Wei, Yang Zhang, Xingyu Xu, Zihan Zou, Xinxiang Huang, Xin Si, Hao Cai
2024FHE-CGRA: Enable Efficient Acceleration of Fully Homomorphic Encryption on CGRAs.
Miaomiao Jiang, Yilan Zhu, Honghui You, Cheng Tan, Zhaoying Li, Jiming Xu, Lei Ju
2024FLAME: Fully Leveraging MoE Sparsity for Transformer on FPGA.
Xuanda Lin, Huinan Tian, Wenxiao Xue, Lanqi Ma, Jialin Cao, Manting Zhang, Jun Yu, Kun Wang
2024FNM-Trans: Efficient FPGA-based Transformer Architecture with Full N: M Sparsity.
Manting Zhang, Jialin Cao, Kejia Shi, Keqing Zhao, Genhao Zhang, Jun Yu, Kun Wang
2024FQP: A Fibonacci Quantization Processor with Multiplication-Free Computing and Topological-Order Routing.
Xiaolong Yang, Yang Wang, Yubin Qin, Jiachen Wang, Shaojun Wei, Yang Hu, Shouyi Yin
2024FRM-CIM: Full-Digital Recursive MAC Computing in Memory System Based on MRAM for Neural Network Applications.
Jinkai Wang, Zekun Wang, Bojun Zhang, Zhengkun Gu, Youxiang Chen, Weisheng Zhao, Yue Zhang
2024Fake Node-Based Perception Poisoning Attacks against Federated Object Detection Learning in Mobile Computing Networks.
Xiong Xiao, Mingxing Duan, Yingjie Song, Zhuo Tang, Wenjing Yang
2024Fast Virtual Gate Extraction For Silicon Quantum Dot Devices.
Shize Che, Seongwoo Oh, Haoyun Qin, Yuhao Liu, Anthony Sigillito, Gushu Li
2024FastQuery: Communication-efficient Embedding Table Query for Private LLMs inference.
Chenqi Lin, Tianshi Xu, Zebin Yang, Runsheng Wang, Ru Huang, Meng Li
2024FeBiM: Efficient and Compact Bayesian Inference Engine Empowered with Ferroelectric In-Memory Computing.
Chao Li, Zhicheng Xu, Bo Wen, Ruibin Mao, Can Li, Thomas Kämpfe, Kai Ni, Xunzhao Yin
2024Finding Bugs in RTL Descriptions: High-Level Synthesis to the Rescue.
Baharealsadat Parchamdar, Benjamin Carrión Schäfer
2024FinerDedup: Sifting Fingerprints for Efficient Data Deduplication on Mobile Devices.
Xianzhang Chen, Xingjie Zhou, Wei Li, Xi Yu, Duo Liu, Yujuan Tan, Ao Ren
2024Formally Verifying Arithmetic Chisel Designs for All Bit Widths at Once.
Weizhi Feng, Yicheng Liu, Jiaxiang Liu, David N. Jansen, Lijun Zhang, Zhilin Wu
2024Fracturing-aware Curvilinear ILT via Circular E-beam Mask Writer.
Xinyun Zhang, Su Zheng, Guojin Chen, Binwu Zhu, Hong Xu, Bei Yu
2024Fused Sampling and Grouping with Search Space Reduction for Efficient Point Cloud Acceleration.
Hyunsung Yoon, Jae-Joon Kim
2024G-PASTA: GPU-Accelerated Partitioning Algorithm for Static Timing Analysis.
Boyang Zhang, Dian-Lun Lin, Che Chang, Cheng-Hsiang Chiu, Bojue Wang, Wan-Luan Lee, Chih-Chun Chang, Donghao Fang, Tsung-Wei Huang
2024G-kway: Multilevel GPU-Accelerated k-way Graph Partitioner.
Wan-Luan Lee, Dian-Lun Lin, Tsung-Wei Huang, Shui Jiang, Tsung-Yi Ho, Yibo Lin, Bei Yu
2024G2PM: Performance Modeling for ACAP Architecture with Dual-Tiered Graph Representation Learning.
Tuo Dai, Bizhao Shi, Guojie Luo
2024GATE-SiP: Enabling Authenticated Encryption Testing in Systems-in-Package.
Galib Ibne Haidar, Kimia Zamiri Azar, Hadi Mardani Kamali, Mark Tehranipoor, Farimah Farahmandi
2024GCS-Timer: GPU-Accelerated Current Source Model Based Static Timing Analysis.
Shiju Lin, Guannan Guo, Tsung-Wei Huang, Weihua Sheng, Evangeline F. Y. Young, Martin D. F. Wong
2024GDR-HGNN: A Heterogeneous Graph Neural Networks Accelerator Frontend with Graph Decoupling and Recoupling.
Runzhen Xue, Mingyu Yan, Dengke Han, Yihan Teng, Zhimin Tang, Xiaochun Ye, Dongrui Fan
2024GNN-assisted Back-side Clock Routing Methodology for Advance Technologies.
Nesara Eranna Bethur, Pruek Vanna-Iampikul, Odysseas Zografos, Lingjun Zhu, Giuliano Sisto, Dragomir Milojevic, Alberto García Ortiz, Geert Hellings, Julien Ryckaert, Francky Catthoor, Sung Kyu Lim
2024GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration.
Tong Qiao, Jianlei Yang, Yingjie Qi, Ao Zhou, Chen Bai, Bei Yu, Weisheng Zhao, Chunming Hu
2024GSPO: A Graph Substitution and Parallelization Joint Optimization Framework for DNN Inference.
Zheng Xu, Xu Dai, Shaojun Wei, Shouyi Yin, Yang Hu
2024Garrison: A High-Performance GPU-Accelerated Inference System for Adversarial Ensemble Defense.
Yan Wang, Xingbin Wang, Zechao Lin, Yulan Su, Sisi Zhang, Rui Hou, Dan Meng
2024Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers.
Pingcheng Dong, Yonghao Tan, Dong Zhang, Tianwei Ni, Xuejiao Liu, Yu Liu, Peng Luo, Luhong Liang, Shih-Yang Liu, Xijie Huang, Huaiyu Zhu, Yun Pan, Fengwei An, Kwang-Ting Cheng
2024Geneva: A Dynamic Confluence of Speculative Execution and In-Order Commitment Windows.
Yanghee Lee, Jiwon Lee, Jaewon Kwon, Yongju Lee, Won Woo Ro
2024Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Control.
Zhiyu An, Xianzhong Ding, Wan Du
2024Graph Learning-based Fault Criticality Analysis for Enhancing Functional Safety of E/E Systems.
Sanjay Das, Shamik Kundu, Pooja Madhusoodhanan, Viswanathan Pillai Prasanth, Rubin A. Parekhji, Arnab Raha, Suvadeep Banerjee, Suriya Natarajan, Kanad Basu
2024Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems.
Ao Zhou, Jianlei Yang, Tong Qiao, Yingjie Qi, Zhi Yang, Weisheng Zhao, Chunming Hu
2024Graph-Transformer-based Surrogate Model for Accelerated Converter Circuit Topology Design.
Shaoze Fan, Haoshu Lu, Shun Zhang, Ningyuan Cao, Xin Zhang, Jing Li
2024GreenFPGA: Evaluating FPGAs as Environmentally Sustainable Computing Solutions.
Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria
2024Gypsophila: A Scalable and Bandwidth-Optimized Multi-Scalar Multiplication Architecture.
Changxu Liu, Hao Zhou, Lan Yang, Jiamin Xu, Patrick Dai, Fan Yang
2024HAIL-DIMM: Host Access Interleaved with Near-Data Processing on DIMM-based Memory System.
Minkyu Lee, Sang-Seol Lee, Kyungho Kim, Eunchong Lee, Sung-Joon Jang
2024HEIRS: Hybrid Three-Dimension RRAM- and SRAM-CIM Architecture for Multi-task Transformer Acceleration.
Liukai Xu, Shuai Yuan, Dengfeng Wang, Yiming Chen, Xueqing Li, Yanan Sun
2024HTAG-eNN: Hardening Technique with AND Gates for Embedded Neural Networks.
Wilfread Guillemé, Angeliki Kritikakou, Youri Helen, Cédric Killian, Daniel Chillet
2024Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA.
Zehuan Zhang, Hongxiang Fan, Hao Mark Chen, Lukasz Dudziak, Wayne Luk
2024HiLight: A Comprehensive Framework for High-Performance and Lightweight Scalability in Surface Code Communication.
Sunghye Park, Dohun Kim, Seokhyeong Kang
2024HiMOSS: A Novel High-dimensional Multi-objective Optimization Method via Adaptive Gradient-Based Subspace Sampling for Analog Circuit Sizing.
Tianchen Gu, Ruiyu Lyu, Zhaori Bi, Changhao Yan, Fan Yang, Dian Zhou, Tao Cui, Xin Liu, Zaikun Zhang, Xuan Zeng
2024HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI.
Brendan Reidy, Sepehr Tabrizchi, Mohammadreza Mohammadi, Shaahin Angizi, Arman Roohi, Ramtin Zand
2024High-Performance and Resource-Efficient Dynamic Memory Management in High-Level Synthesis.
Qinggang Wang, Long Zheng, Zhaozeng An, Haoqin Huang, Haoran Zhu, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin
2024How accurately can soft error impact be estimated in black-box/white-box cases? - a case study with an edge AI SoC -.
Quan Cheng, Qiufeng Li, Longyang Lin, Wang Liao, Liuyao Dai, Hao Yu, Masanori Hashimoto
2024How to Steal CPU Idle Time When Synchronous I/O Mode Becomes Promising.
Chun-Feng Wu, Yuan-Hao Chang, Ming-Chang Yang, Tei-Wei Kuo
2024HyCaMi: High-Level Synthesis for Cache Side-Channel Mitigation.
Heiko Mantel, Joachim Schmidt, Thomas Schneider, Maximilian Stillger, Tim Weißmantel, Hossein Yalame
2024HyCiM: A Hybrid Computing-in-Memory QUBO Solver for General Combinatorial Optimization Problems with Inequality Constraints.
Yu Qian, Zeyu Yang, Kai Ni, Alptekin Vardar, Thomas Kämpfe, Xunzhao Yin
2024Hyb-Learn: A Framework for On-Device Self-Supervised Continual Learning with Hybrid RRAM/SRAM Memory.
Fan Zhang, Li Yang, Deliang Fan
2024Hybrid Circuit Mapping: Leveraging the Full Spectrum of Computational Capabilities of Neutral Atom Quantum Computers.
Ludwig Schmid, Sunghye Park, Robert Wille
2024Hynify: A High-throughput and Unified Accelerator for Multi-Mode Nonparametric Statistics.
Kaihong Huang, Dian Shen, Zhaoyang Wang, Juntao Yang, Beilun Wang
2024ICGMM: CXL-enabled Memory Expansion with Intelligent Caching Using Gaussian Mixture Model.
Hanqiu Chen, Yitu Wang, Luis Vitorio Cargnini, Mohammadreza Soltaniyeh, Dongyang Li, Gongjin Sun, Pradeep Subedi, Andrew Chang, Yiran Chen, Cong Hao
2024IG-CRM: Area/Energy-Efficient IGZO-Based Circuits and Architecture Design for Reconfigurable CIM/CAM Applications.
Zeyu Guo, Jinshan Yue, Shengzhe Yan, Zhuoyu Dai, Xiangqu Fu, Zhaori Cong, Zening Niu, Ke Hu, Lihua Xu, Jiawei Wang, Lingfei Wang, Guanhua Yang, Di Geng, Ling Li
2024INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding.
Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Haomin Li, Shiyuan Huang, Zhuoran Song, Songwen Pei, Li Jiang
2024Improving the Efficiency of In-Memory-Computing Macro with a Hybrid Analog-Digital Computing Mode for Lossless Neural Network Inference.
Qilin Zheng, Ziru Li, Jonathan Ku, Yitu Wang, Brady Taylor, Deliang Fan, Yiran Chen
2024Ink: Efficient Incremental k-Critical Path Generation.
Che Chang, Tsung-Wei Huang, Dian-Lun Lin, Guannan Guo, Shiju Lin
2024InterArch: Video Transformer Acceleration via Inter-Feature Deduplication with Cube-based Dataflow.
Xuhang Wang, Zhuoran Song, Xiaoyao Liang
2024Invited: Achieving PetaOps/W Edge-AI Processing.
Manil Dev Gomony, Bas Ahn, Rick Luiken, Yashvardhan Biyani, Anteneh Gebregiorgis, Axel Laborieux, Friedemann Zenke, Said Hamdioui, Henk Corporaal
2024Invited: Algorithm and Hardware Co-Design for Energy-Efficient Neural SLAM.
Lingyi Huang, Cheng Yang, Yu Gong, Yang Sui, Xiao Zang, Anthony Goeckner, Qi Zhu, Bo Yuan
2024Invited: Automatic Hardware/Software Design for High-Speed Autonomous Unmanned Aerial Vehicles Guided by a Flight Model.
Yuanfan Xu, Jincheng Yu, Suquan Zhang, Yunfei Xiang, Hongyang Jia, Yu Wang
2024Invited: Challenges and Opportunities of Quantum Optimization in Finance.
Zichang He, Shouvanik Chakrabarti, Dylan Herman, Niraj Kumar, Changhao Li, Pierre Minssen, Pradeep Niroula, Ruslan Shaydulin, Yue Sun, Shree Hari Sureshbabu, Romina Yalovetzky, Marco Pistoia
2024Invited: Conformal Inference meets Evidential Learning: Distribution-Free Uncertainty Quantification with Epistemic and Aleatoric Separability.
Alex Christopher Stutts, Divake Kumar, Theja Tulabandhula, Amit Ranjan Trivedi
2024Invited: Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm.
Zhiding Liang, Gang Liu, Zheyuan Liu, Jinglei Cheng, Tianyi Hao, Kecheng Liu, Hang Ren, Zhixin Song, Ji Liu, Fanny Ye, Yiyu Shi
2024Invited: Human-Inspired Distributed Wearable AI.
Shreyas Sen, Arunashish Datta
2024Invited: Leveraging Machine Learning for Quantum Compilation Optimization.
Xiangyu Ren, Tianyu Zhang, Xiong Xu, Yicong Zheng, Shengyu Zhang
2024Invited: Neuromorphic Architectures Based on Augmented Silicon Photonics Platforms.
Matej Hejda, Federico Marchesin, George Papadimitriou, Dimitris Gizopoulos, Benoît Charbonnier, Régis Orobtchouk, Peter Bienstman, Thomas Van Vaerenbergh, Fabio Pavanello
2024Invited: Neuromorphic Vision Modalities in the NimbleAI 3D Chip.
Xabier Iturbe, Bernabé Linares-Barranco, Sio-Hoi Ieng, Arne Erdmann, Luca Peres, Oliver Rhodes, Rafael Tornero, Manolis Sifalakis, Marcel D. van de Burgwal, Amirreza Yousefzadeh, Maha Kooli, Riccardo Alidori, Pavel Zaykov
2024Invited: New Solutions on LLM Acceleration, Optimization, and Application.
Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye, Manvi Jha, Jinghua Wang, Yuhong Li, Xiaofan Zhang, Deming Chen
2024Invited: The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems.
Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi
2024Invited: Using Causal Information to Enable More Efficient Robot Operation.
Semanti Basu, Semir Tatlidil, Moon Hwan Kim, Steven A. Sloman, R. Iris Bahar
2024KATO: Knowledge Alignment And Transfer for Transistor Sizing Of Different Design and Technology.
Wei W. Xing, Weijian Fan, Zhuohua Liu, Yuan Yao, Yuanqi Hu
2024Knowing The Spec to Explore The Design via Transformed Bayesian Optimization.
Donger Luo, Qi Sun, Xinheng Li, Chen Bai, Bei Yu, Hao Geng
2024LEAF: An Adaptation Framework against Noisy Data on Edge through Ultra Low-Cost Training.
Zihan Xia, Jinwook Kim, Mingu Kang
2024LIVAK: A High-Performance In-Memory Learned Index for Variable-Length Keys.
Zhaole Chu, Zhou Zhang, Peiquan Jin, Xiaoliang Wang, Yongping Luo, Xujian Zhao
2024LLM-HD: Layout Language Model for Hotspot Detection with GDS Semantic Encoding.
Yuyang Chen, Yiwen Wu, Jingya Wang, Tao Wu, Xuming He, Jingyi Yu, Hao Geng
2024LLM-MARK: A Computing Framework on Efficient Watermarking of Large Language Models for Authentic Use of Generative AI at Local Devices.
Shiyu Guo, Yuhao Ju, Xi Chen, Jie Gu
2024LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices.
Yifan Gong, Yushu Wu, Zheng Zhan, Pu Zhao, Liangkai Liu, Chao Wu, Xulong Tang, Yanzhi Wang
2024LVF2: A Statistical Timing Model based on Gaussian Mixture for Yield Estimation and Speed Binning.
Junzhuo Zhou, Li Huang, Haoxuan Xia, Yihui Cai, Leilei Jin, Xiao Shi, Wei W. Xing, Ting-Jung Lin, Lei He
2024LaMUX: Optimized Logic-Gate-Enabled High-Performance Microfluidic Multiplexer Design.
Siyuan Liang, Yushen Zhang, Rana Altay, Hudson Gasvoda, Mengchu Li, Ismail Emre Araci, Tsun-Ming Tseng, Ulf Schlichtmann, Tsung-Yi Ho
2024Laser Shield: a Physical Defense with Polarizer against Laser Attacks on Autonomous Driving Systems.
Qingjie Zhang, Lijun Chi, Di Wang, Mounira Msahli, Gérard Memmi, Tianwei Zhang, Chao Zhang, Han Qiu
2024Late Breaking Result: AQFP-aware Binary Neural Network Architecture Search.
Zhengang Li, Xuan Shen, Geng Yuan, Masoud Zabihi, Tomoharu Yamauchi, Yanzhi Wang, Olivia Chen
2024Late Breaking Results: A real-time diffusion-based filter for human pose estimation on edge devices.
Chiara Bozzini, Michele Boldo, Enrico Martini, Nicola Bombieri
2024Late Breaking Results: Circuit-Algorithm Co-design for Learnable Audio Analog Front-End.
Jinhai Hu, Zhongyi Zhang, Cong Sheng Leow, Wang Ling Goh, Yuan Gao
2024Late Breaking Results: Coulomb Force-Based Routability-Driven Placement Considering Global and Local Congestion.
Jihai Meng, Shaohong Weng, Zhijie Cai, Yilu Chen, Zhifeng Lin, Jianli Chen
2024Late Breaking Results: Differential and Massively Parallel Sampling of SAT Formulas.
Arash Ardakani, Minwoo Kang, Kevin He, Vighnesh M. Iyer, Suhong Moon, John Wawrzynek
2024Late Breaking Results: Efficient Built-in Self-Test for Microfluidic Large-Scale Integration (mLSI).
Mengchu Li, Hanchen Gu, Yushen Zhang, Siyuan Liang, Hudson Gasvoda, Rana Altay, Ismail Emre Araci, Tsun-Ming Tseng, Tsung-Yi Ho, Ulf Schlichtmann
2024Late Breaking Results: Evaluation of Human Action Quality with Linear Recurrent Units and Graph Attention Networks on Embedded Systems.
Filippo Ziche, Nicola Bombieri
2024Late Breaking Results: Extracting QNNs from NISQ Computers via Ensemble Learning.
Zhenxiao Fu, Fan Chen
2024Late Breaking Results: Fast System Technology Co-Optimization Framework for Emerging Technology Based on Graph Neural Networks.
Tianliang Ma, Guangxi Fan, Xuguang Sun, Zhihui Deng, Kain Lu Low, Leilai Shao
2024Late Breaking Results: LLM-assisted Automated Incremental Proof Generation for Hardware Verification.
Khushboo Qayyum, Muhammad Hassan, Sallar Ahmadi-Pour, Chandan Kumar Jha, Rolf Drechsler
2024Late Breaking Results: Language-level QoR modeling for High-Level Synthesis.
Dimosthenis Masouros, Aggelos Ferikoglou, Georgios Zervakis, Sotirios Xydis, Dimitrios Soudris
2024Late Breaking Results: Machine Learning Based Reference Ripple Error Suppression in Successive Approximation Register Analog-to-Digital Converters.
Debnath Maiti, Sumukh Prashant Bhanushali, Arindam Sanyal
2024Late Breaking Results: Majority-Inverter Graph Minimization by Design Space Exploration.
Siang-Yun Lee, Alessandro Tempia Calvino, Heinz Riener, Giovanni De Micheli
2024Late Breaking Results: Mixed-Cell-Height Detailed Placement under Multi-Cell Spacing Constraints.
Benchao Zhu, Zheng Zeng, Jianli Chen
2024Late Breaking Results: Modern Automatic PCB Placement with Complex Constraints.
Chien-Hao Tsou, Sheng-Yah Lin, Wei-Chen Hung, Yao-Wen Chang
2024Late Breaking Results: On the One-Key Premise of Logic Locking.
Yinghua Hu, Hari Cherupalli, Mike Borza, Deepak D. Sherlekar
2024Late Breaking Results: Power Rail Routing for Advanced Multi-Layered Printed Circuit Boards.
Wei-Che Tseng, Zong-Ying Cai, Yi-Ping Huang, Yu-Hsiang Lo, Yao-Wen Chang
2024Late Breaking Results: Routability-Driven FPGA Macro Placement Considering Complex Cascade Shape and Region Constraints.
Hao Gu, Jian Gu, Keyu Peng, Jun Yang, Ziran Zhu
2024Late Breaking Results: TriSC: Low-Cost Design of Trigonometric Functions with Quasi Stochastic Computing.
Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi
2024Late Breaking Results: Wiring Reduction for Field-coupled Nanotechnologies.
Simon Toni Hofmann, Marcel Walter, Robert Wille
2024Leanor: A Learning-Based Accelerator for Efficient Approximate Nearest Neighbor Search via Reduced Memory Access.
Yi Wang, Huan Liu, Jianan Yuan, Jiaxian Chen, Tianyu Wang, Chenlin Ma, Rui Mao
2024Learn-by-Compare: Analog Performance Prediction using Contrastive Regression with Design Knowledge.
Zihu Wang, Karthik Somayaji N. S., Peng Li
2024Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits.
Chenhui Deng, Zichao Yue, Cunxi Yu, Gokce Sarar, Ryan Carey, Rajeev Jain, Zhiru Zhang
2024Lesyn: Placement-aware Logic Resynthesis for Non-Integer Multiple-Cell-Height Designs.
Yuan Pu, Fangzhou Liu, Yu Zhang, Zhuolun He, Yibo Lin, Kai-Yuan Chao, Bei Yu
2024Levioso: Efficient Compiler-Informed Secure Speculation.
Ali Hajiabadi, Archit Agarwal, Andreas Diavastos, Trevor E. Carlson
2024Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing.
Mehrdad Morsali, Brendan Reidy, Deniz Najafi, Sepehr Tabrizchi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Ramtin Zand, Shaahin Angizi
2024Look Before You Access: Efficient Heap Memory Safety for Embedded Systems on ARMv8-M.
Jeonghwan Kang, Jaeyeol Park, Jiwon Seo, Donghyun Kwon
2024Lost and Found in Speculation: Hybrid Speculative Vulnerability Detection.
Mohamadreza Rostami, Shaza Zeitouni, Rahul Kande, Chen Chen, Pouya Mahmoody, Jeyavijayan Rajendran, Ahmad-Reza Sadeghi
2024Low-Complexity Algorithmic Test Generation for Neuromorphic Chips.
Hsu-Yu Huang, Chu-Yun Hsiao, Tsung-Te Liu, James Chien-Mo Li
2024MAFin: Maximizing Accuracy in FinFET based Approximated Real-Time Computing.
Shounak Chakraborty, Sangeet Saha, Magnus Själander, Klaus D. McDonald-Maier
2024MASC: A Memory-Efficient Adjoint Sensitivity Analysis through Compression Using Novel Spatiotemporal Prediction.
Chenxi Li, Boyuan Zhang, Yongqiang Duan, Yang Li, Zuochang Ye, Weifeng Liu, Dingwen Tao, Zhou Jin
2024MAUnet: Multiscale Attention U-Net for Effective IR Drop Prediction.
Mingyue Wang, Yuanqing Cheng, Yage Lin, Kelin Peng, Shunchuan Yang, Zhou Jin, Wei W. Xing
2024MCU-Wide Timing Side Channels and Their Detection.
Johannes Müller, Anna Lena Duque Antón, Lucas Deutschmann, Dino Mehmedagic, Cristiano Rodrigues, Daniel Oliveira, Mohammad Rahmani Fadiheh, Keerthikumara Devarajegowda, Sandro Pinto, Dominik Stoffel, Wolfgang Kunz
2024MENDNet: Just-in-time Fault Detection and Mitigation in AI Systems with Uncertainty Quantification and Multi-Exit Networks.
Shamik Kundu, Mirazul Haque, Sanjay Das, Wei Yang, Kanad Basu
2024MERSIT: A Hardware-Efficient 8-bit Data Format with Enhanced Post-Training Quantization DNN Accuracy.
Nguyen-Dong Ho, Gyujun Jeong, Cheol-Min Kang, Seungkyu Choi, Ik-Joon Chang
2024ML-based Physical Design Parameter Optimization for 3D ICs: From Parameter Selection to Optimization.
Hao-Hsiang Hsiao, Pruek Vanna-Iampikul, Yi-Chen Lu, Sung Kyu Lim
2024MSMAC: Accelerating Multi-Scalar Multiplication for Zero-Knowledge Proof.
Pengcheng Qiu, Guiming Wu, Tingqiang Chu, Changzheng Wei, Runzhou Luo, Ying Yan, Wei Wang, Hui Zhang
2024MTL-Split: Multi-Task Learning for Edge Devices using Split Computing.
Luigi Capogrosso, Enrico Fraccaroli, Samarjit Chakraborty, Franco Fummi, Marco Cristani
2024Maintaining Sanity: Algorithm-based Comprehensive Fault Tolerance for CNNs.
Jinhyo Jung, Hwisoo So, Woobin Ko, Sumedh Shridhar Joshi, Yebon Kim, Yohan Ko, Aviral Shrivastava, Kyoungwoo Lee
2024Massively Parallel AIG Resubstitution.
Yang Sun, Tianji Liu, Martin D. F. Wong, Evangeline F. Y. Young
2024Minimizing Labeling, Maximizing Performance: A Novel Approach to Nanoscale Scanning Electron Microscope (SEM) Defect Segmentation.
Yibo Qiao, Weiping Xie, Shunyuan Lou, Qian Jin, Lichao Zeng, Yining Chen, Qi Sun, Cheng Zhuo
2024Mixed-Dimensional Qudit State Preparation Using Edge-Weighted Decision Diagrams.
Kevin Mato, Stefan Hillmich, Robert Wille
2024Mixed-Size 3D Analytical Placement with Heterogeneous Technology Nodes.
Yan-Jen Chen, Cheng-Hsiu Hsieh, Po-Han Su, Shao-Hsiang Chen, Yao-Wen Chang
2024MoC: A Morton-Code-Based Fine-Grained Quantization for Accelerating Point Cloud Neural Networks.
Xueyuan Liu, Zhuoran Song, Hao Chen, Xing Li, Xiaoyao Liang
2024MoNDE: Mixture of Near-Data Experts for Large-Scale Sparse Models.
Taehyun Kim, Kwanseok Choi, Youngmock Cho, Jaehoon Cho, Hyuk-Jae Lee, Jaewoong Sim
2024ModSRAM: Algorithm-Hardware Co-Design for Large Number Modular Multiplication in SRAM.
Jonathan Hao-Cheng Ku, Junyao Zhang, Haoxuan Shan, Saichand Samudrala, Jiawen Wu, Qilin Zheng, Ziru Li, Jeyavijayan Rajendran, Yiran Chen
2024MoteNN: Memory Optimization via Fine-grained Scheduling for Deep Neural Networks on Tiny Devices.
Renze Chen, Zijian Ding, Size Zheng, Meng Li, Yun Liang
2024Multi-Resonance Mesh-Based Wavelength-Routed Optical Networks-on-Chip.
Zhidan Zheng, Liaoyuan Cheng, Kanta Arisawa, Qingyu Li, Alexandre Truppel, Shigeru Yamashita, Tsun-Ming Tseng, Ulf Schlichtmann
2024Multi-order Differential Neural Network for TCAD Simulation of the Semiconductor Devices.
Zifei Cai, Anaoxue Huang, Yifeng Xiong, Dejiang Mu, Xiangshui Miao, Xingsheng Wang
2024NOFIS: Normalizing Flow for Rare Circuit Failure Analysis.
Zhengqi Gao, Dinghuai Zhang, Luca Daniel, Duane S. Boning
2024NSPG: Natural language Processing-based Security Property Generator for Hardware Security Assurance.
Xingyu Meng, Amisha Srivastava, Ayush Arunachalam, Avik Ray, Pedro Henrique Silva, Rafail Psiakis, Yiorgos Makris, Kanad Basu
2024Net Resource Allocation: A Desirable Initial Routing Step.
Zhisheng Zeng, Jikang Liu, Zhipeng Huang, Ye Cai, Biwei Xie, Yungang Bao, Xingquan Li
2024Neural Barrier Certificates Synthesis of NN-Controlled Continuous Systems via Counterexample-Guided Learning.
Hanrui Zhao, Niuniu Qi, Mengxin Ren, Xia Zeng, Zhenbing Zeng, Zhengfeng Yang
2024NeuroSelect: Learning to Select Clauses in SAT Solvers.
Hongduo Liu, Peng Xu, Yuan Pu, Lihao Yin, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu
2024Nona: Accurate Power Prediction Model Using Neural Networks.
HoSun Choi, Chanho Park, Euijun Kim, William J. Song
2024OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models.
Jahyun Koo, Dahoon Park, Sangwoo Jung, Jaeha Kung
2024OPTIMA: Design-Space Exploration of Discharge-Based In-SRAM Computing: Quantifying Energy-Accuracy Trade-offs.
Saeed Seyedfaraji, Severin Jager, Salar Shakibhamedan, Asad Aftab, Semeen Rehman
2024OTPlace-Vias: A Novel Optimal Transport Based Method for High Density Vias Placement in 3D Circuits.
Lin Chen, Qi Xu, Hu Ding
2024Obstacle-Aware Length-Matching Routing for Any-Direction Traces in Printed Circuit Board.
Weijie Fang, Longkun Guo, Jiawei Lin, Silu Xiong, Huan He, Jiacen Xu, Jianli Chen
2024Older and Wiser: The Marriage of Device Aging and Intellectual Property Protection of DNNs.
Ning Lin, Shaocong Wang, Yue Zhang, Yangu He, Kwunhang Wong, Arindam Basu, Dashan Shang, Xiaoming Chen, Zhongrui Wang
2024Oltron: Algorithm-Hardware Co-design for Outlier-Aware Quantization of LLMs with Inter-/Intra-Layer Adaptation.
Chenhao Xue, Chen Zhang, Xun Jiang, Zhutianya Gao, Yibo Lin, Guangyu Sun
2024On the Design of Novel Attention Mechanism for Enhanced Efficiency of Transformers.
Sumit Kumar Jha, Susmit Jha, Rickard Ewetz, Alvaro Velasquez
2024Optimal Transistor Folding and Placement for Synthesizing Standard Cells of Complementary FET Technology.
Suwan Kim, Taewhan Kim
2024Order-Preserving Cryptography for the Confidential Inference in Random Forests: FPGA Design and Implementation.
Rupesh Raj Karn, Kashif Nawaz, Ibrahim Abe M. Elfadel
2024PDRC: Package Design Rule Checking via GPU-Accelerated Geometric Intersection Algorithms for Non-Manhattan Geometry.
Jiaxi Jiang, Lancheng Zou, Wenqian Zhao, Zhuolun He, Tinghuan Chen, Bei Yu
2024PHD: Parallel Huffman Decoder on FPGA for Extreme Performance and Energy Efficiency.
Yunkun Liao, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan
2024PIVOT- Input-aware Path Selection for Energy-efficient ViT Inference.
Abhishek Moitra, Abhiroop Bhattacharjee, Priyadarshini Panda
2024PMP: Pattern Morphing-based Memory Partitioning in High-Level Synthesis.
Dajiang Liu, Decai Pan, Xiao Xiong, Jiaxing Shang, Shouyi Yin
2024PONO: Power Optimization with Near Optimal SMT-based Sub-circuit Generation.
Sunan Zou, Guojie Luo
2024PPA-Relevant Clustering-Driven Placement for Large-Scale VLSI Designs.
Andrew B. Kahng, Seokhyeong Kang, Sayak Kundu, Kyungjun Min, SeongHyeon Park, Bodhisatta Pramanik
2024PPGNN: Fast and Accurate Privacy-Preserving Graph Neural Network Inference via Parallel and Pipelined Arithmetic-and-Logic FHE Accelerator.
Yuntao Wei, Xueyan Wang, Song Bian, Yicheng Huang, Weisheng Zhao, Yier Jin
2024PT-Map: Efficient Program Transformation Optimization for CGRA Mapping.
Bizhao Shi, Tuo Dai, Jiaxi Zhang, Xuechao Wei, Guojie Luo
2024PVTSizing: A TuRBO-RL-Based Batch-Sampling Optimization Framework for PVT-Robust Analog Circuit Synthesis.
Zichen Kong, Xiyuan Tang, Wei Shi, Yiheng Du, Yibo Lin, Yuan Wang
2024Partially-Structured Transformer Pruning with Patch-Limited XOR-Gate Compression for Stall-Free Sparse-Model Access.
Younghoon Byun, Youngjoo Lee
2024Partitioned Scheduling and Parallelism Assignment for Real-Time DNN Inference Tasks on Multi-TPU.
Binqi Sun, Tomasz Kloda, Chu-Ge Wu, Marco Caccamo
2024PathFuzz: Broadening Fuzzing Horizons with Footprint Memory for CPUs.
Yinan Xu, Sa Wang, Dan Tang, Ninghui Sun, Yungang Bao
2024Performance-driven Analog Routing via Heterogeneous 3DGNN and Potential Relaxation.
Peng Xu, Guojin Chen, Keren Zhu, Tinghuan Chen, Tsung-Yi Ho, Bei Yu
2024PipeSSD: A Lock-free Pipelined SSD Firmware Design for Multi-core Architecture.
Zelin Du, Shaoqi Li, Zixuan Huang, Jin Xue, Kecheng Huang, Tianyu Wang, Zili Shao
2024Planaria: Pattern Directed Cross-page Composite Prefetcher.
Yuhang Liu, Mingyu Chen
2024Plug Your Volt: Protecting Intel Processors against Dynamic Voltage Frequency Scaling based Fault Attacks.
Nimish Mishra, Rahul Arvind Mool, Anirban Chakraborty, Debdeep Mukhopadhyay
2024PowPrediCT: Cross-Stage Power Prediction with Circuit-Transformation-Aware Learning.
Yufan Du, Zizheng Guo, Xun Jiang, Zhuomin Chai, Yuxiang Zhao, Yibo Lin, Runsheng Wang, Ru Huang
2024PowerLens: An Adaptive DVFS Framework for Optimizing Energy Efficiency in Deep Neural Networks.
Jiawei Geng, Zongwei Zhu, Weihong Liu, Xuehai Zhou, Boyu Li
2024PowerRChol: Efficient Power Grid Analysis Based on Fast Randomized Cholesky Factorization.
Zhiqiang Liu, Wenjian Yu
2024Predicting Lemmas in Generalization of IC3.
Yuheng Su, Qiusong Yang, Yiwei Ci
2024Proceedings of the 61st ACM/IEEE Design Automation Conference, DAC 2024, San Francisco, CA, USA, June 23-27, 2024
Vivek De
2024Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas.
Hanrui Wang, Daniel Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han
2024QUQ: Quadruplet Uniform Quantization for Efficient Vision Transformer Inference.
Xinkuang Geng, Siting Liu, Leibo Liu, Jie Han, Honglan Jiang
2024QuGeo: An End-to-end Quantum Learning Framework for Geoscience - A Case Study on Full-Waveform Inversion.
Weiwen Jiang, Youzuo Lin
2024RCGP: An Automatic Synthesis Framework for Reversible Quantum-Flux-Parametron Logic Circuits based on Efficient Cartesian Genetic Programming.
Rongliang Fu, Robert Wille, Tsung-Yi Ho
2024RISC-V Instruction Set Extensions for Multi-Precision Integer Arithmetic: A Case Study on Post-Quantum Key Exchange Using CSIDH-512.
Hao Cheng, Georgios Fotiadis, Johann Großschädl, Daniel Page, Thinh Hung Pham, Peter Y. A. Ryan
2024RL-PTQ: RL-based Mixed Precision Quantization for Hybrid Vision Transformers.
Eunji Kwon, Minxuan Zhou, Weihong Xu, Tajana Rosing, Seokhyeong Kang
2024RT-MDM: Real-Time Scheduling Framework for Multi-DNN on MCU Using External Memory.
Sukmin Kang, Seongtae Lee, Hyunwoo Koo, Hoon Sung Chwa, Jinkyu Lee
2024RTGA: A Redundancy-free Accelerator for High-Performance Temporal Graph Neural Network Inference.
Hui Yu, Yu Zhang, Andong Tan, Chenze Lu, Jin Zhao, Xiaofei Liao, Hai Jin, Haikun Liu
2024RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Model.
Yunda Tsai, Mingjie Liu, Haoxing Ren
2024RWriC: A Dynamic Writing Scheme for Variation Compensation for RRAM-based In-Memory Computing.
Yucong Huang, Jingyu He, Kwang-Ting (Tim) Cheng, Chi-Ying Tsui, Terry Tao Ye
2024ReCG: ReRAM-Accelerated Sparse Conjugate Gradient.
Mingjia Fan, Xiaoming Chen, Dechuang Yang, Zhou Jin, Weifeng Liu
2024Redistribution Layer Routing with Dynamic Via Insertion Under Irregular Via Structures.
Je-Wei Chuang, Zong-Han Wu, Bo-Ying Huang, Yao-Wen Chang
2024Reducing DRAM Latency via In-situ Temperature- and Process-Variation-Aware Timing Detection and Adaption.
Yuxuan Qin, Chuxiong Lin, Mingche Lai, Zhang Luo, Shi Xu, Weifeng He
2024Revisiting Automatic Pipelining: Gate-level Forwarding and Speculation.
Shuyao Cheng, Chongxiao Li, Zidong Du, Rui Zhang, Xing Hu, Xiaqing Li, Guanglin Xu, Yuanbo Wen, Qi Guo
2024RexBDDs: Reduction-on-Edge Complement-and-Swap Binary Decision Diagrams.
Gianfranco Ciardo, Andrew S. Miner, Lichuan Deng, Junaid Babar
2024S2RAM PUF: An Ultra-low Power Subthreshold SRAM PUF with Zero Bit Error Rate.
Li Ni, Jiliang Zhang
2024SARIS: Accelerating Stencil Computations on Energy-Efficient RISC-V Compute Clusters with Indirect Stream Registers.
Paul Scheffler, Luca Colagrande, Luca Benini
2024SAS - A Framework for Symmetry-based Approximate Synthesis.
Niklas Jungnitz, Oliver Keszöcze
2024SC-GNN: A Communication-Efficient Semantic Compression for Distributed Training of GNNs.
Jihe Wang, Ying Wu, Danghui Wang
2024SEPE-SQED: Symbolic Quick Error Detection by Semantically Equivalent Program Execution.
Yufeng Li, Qiusong Yang, Yiwei Ci, Enyuan Tian
2024SGM-PINN: Sampling Graphical Models for Faster Training of Physics-Informed Neural Networks.
John Anticev, Ali Aghdaei, Wuxinlin Cheng, Zhuo Feng
2024SHERLOCK: Scheduling Efficient and Reliable Bulk Bitwise Operations in NVMs.
Hamid Farzaneh, João Paulo C. de Lima, Ali Nezhadi Khelejani, Asif Ali Khan, Mahta Mayahinia, Mehdi B. Tahoori, Jerónimo Castrillón
2024SMILE: LLC-based Shared Memory Expansion to Improve GPU Thread Level Parallelism.
Tianyu Guo, Xuanteng Huang, Kan Wu, Xianwei Zhang, Nong Xiao
2024SMORE: Similarity-Based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification.
Junyao Wang, Mohammad Abdullah Al Faruque
2024SPARK: An Efficient Hybrid Acceleration Architecture with Run-Time Sparsity-Aware Scheduling for TinyML Learning.
Mingxuan Li, Qinzhe Zhi, Yanchi Dong, Le Ye, Tianyu Jia
2024SPECRUN: The Danger of Speculative Runahead Execution in Processors.
Chaoqun Shen, Gang Qu, Jiliang Zhang
2024SPFuzz: Stateful Path based Parallel Fuzzing for Protocols in Autonomous Vehicles.
Junze Yu, Zhengxiong Luo, Fangshangyuan Xia, Yanyang Zhao, Heyuan Shi, Yu Jiang
2024SSRESF: Sensitivity-aware Single-particle Radiation Effects Simulation Framework in SoC Platforms based on SVM Algorithm.
Meng Liu, Shuai Li, Fei Xiao, Ruijie Wang, Chunxue Liu, Liang Wang
2024STAGGER: Enabling All-in-One Subarray Sensing for Efficient Module-level Processing in Open-Bitline ReRAM.
Chengning Wang, Dan Feng, Yuchong Hu, Wei Tong, Jingning Liu
2024SWAT: Scalable and Efficient Window Attention-based Transformers Acceleration on FPGAs.
Zhenyu Bai, Pranav Dangi, Huize Li, Tulika Mitra
2024Safe Controller Synthesis for Nonlinear Systems via Reinforcement Learning and PAC Approximation.
Xia Zeng, Banglong Liu, Zhenbing Zeng, Zhiming Liu, Zhengfeng Yang
2024ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours.
Feiwen Zhu, Arkadiusz Nowaczynski, Rundong Li, Jie Xin, Yifei Song, Michal Marcinkiewicz, Sukru Burc Eryilmaz, Jun Yang, Michael Andersch
2024SecPaging: Secure Enclave Paging with Hardware-Enforced Protection against Controlled-Channel Attacks.
Yunkai Bai, Peinan Li, Yubiao Huang, Shiwen Wang, Xingbin Wang, Dan Meng, Rui Hou
2024Series-Parallel Hybrid SOT-MRAM Computing-in-Memory Macro with Multi-Method Modulation for High Area and Energy Efficiency.
Weiliang Huang, Jinyu Bai, Wang Kang, Zhaohao Wang, Kaihua Cao, Hongxi Liu, He Zhang, Weisheng Zhao
2024Sharry: An Efficient and Sharing Far Memory System.
Chen Chen, Yuhang Huang, Shuiguang Deng, Jianwei Yin, Xinkui Zhao
2024Size-Optimized Depth-Constrained Large Parallel Prefix Circuits.
Shiju Lin, Bentian Jiang, Weihua Sheng, Evangeline F. Y. Young
2024SkyPlace: A New Mixed-size Placement Framework using Modularity-based Clustering and SDP Relaxation.
Jaekyung Im, Seokhyeong Kang
2024SmartATPG: Learning-based Automatic Test Pattern Generation with Graph Convolutional Network and Reinforcement Learning.
Wenxing Li, Hongqin Lyu, Shengwen Liang, Tiancheng Wang, Huawei Li
2024SpARC: Token Similarity-Aware Sparse Attention Transformer Accelerator via Row-wise Clustering.
Han Cho, Dongjun Kim, Seung-Eon Hwang, Jongsun Park
2024SpREM: Exploiting Hamming Sparsity for Fast Quantum Readout Error Mitigation.
Hanyu Zhang, Liqiang Lu, Siwei Tan, Size Zheng, Jia Yu, Jianwei Yin
2024SpaHet: A Software/Hardware Co-design for Accelerating Heterogeneous-Sparsity based Sparse Matrix Multiplication.
Haoqin Huang, Pengcheng Yao, Zhaozeng An, Yufei Sun, Ao Hu, Peng Xu, Long Zheng, Xiaofei Liao, Hai Jin
2024SpectraFlux: Harnessing the Flow of Multi-FPGA in Mass Spectrometry Clustering.
Tianqi Zhang, Neha Prakriya, Sumukh Pinge, Jason Cong, Tajana Rosing
2024Sting: Near-storage accelerator framework for scalable triangle counting and beyond.
Seongyoung Kang, Sang-Woo Jun
2024SymPhase: Phase Symbolization for Fast Simulation of Stabilizer Circuits.
Wang Fang, Mingsheng Ying
2024Synthesis of Compact Flow-based Computing Circuits from Boolean Expressions.
Sven Thijssen, Muhammad Rashedul Haq Rashed, Sumit Kumar Jha, Rickard Ewetz
2024Synthesis of Resource-Efficient Superconducting Circuits with Clock-Free Alternating Logic.
Jennifer Volk, Panagiotis Papanikolaou, Georgios Zervakis, Georgios Tzimpragos
2024TAPMM: A Traffic-Aware Page Mapping Method for Multi-level NUMA Systems.
Fengkun Dong, Guoqing Xiao, Haotian Wang, Yikun Hu, Kenli Li, Wangdong Yang
2024TATOO: A Flexible Hardware Platform for Binary-Only Fuzzing.
Jinting Wu, Haodong Zheng, Yu Wang, Tai Yue, Fengwei Zhang
2024TBNet: A Neural Architectural Defense Framework Facilitating DNN Model Protection in Trusted Execution Environments.
Ziyu Liu, Tong Zhou, Yukui Luo, Xiaolin Xu
2024TIGA: Towards Efficient Near Data Processing in SmartNICs-based Disaggregated Memory Systems.
Zhuohui Duan, Zelin Yu, Haikun Liu, Xiaofei Liao, Hai Jin, Shijie Zheng, Sihan Wu
2024TITAN: A Fast and Distributed Large-Scale Trapped-Ion NISQ Computer.
Cheng Chu, Zhenxiao Fu, Yilun Xu, Gang Huang, Hausi A. Müller, Fan Chen, Lei Jiang
2024TSAcc: An Efficient \underline{T}empo-\underline{S}patial Similarity Aware \underline{Acc}elerator for Attention Acceleration.
Zhuoran Song, Chunyu Qi, Yuanzheng Yao, Peng Zhou, Yanyi Zi, Nan Wang, Xiaoyao Liang
2024Thermal Resistance Network Derivative (TREND) Model for Efficient Thermal Simulation and Design of ICs and Packages.
Shunxiang Lan, Min Tang, Liang Chen, Junfa Mao
2024ThermalScope: A Practical Interrupt Side Channel Attack Based on Thermal Event Interrupts.
Xin Zhang, Zhi Zhang, Qingni Shen, Wenhao Wang, Yansong Gao, Zhuoxi Yang, Zhonghai Wu
2024Token-Picker: Accelerating Attention in Text Generation with Minimized Memory Transfer via Probability Estimation.
Junyoung Park, Myeonggu Kang, Yunki Han, Yanggon Kim, Jaekang Shin, Lee-Sup Kim
2024Top-Level Routing for Multiply-Instantiated Blocks with Topology Hashing.
Jiarui Wang, Xun Jiang, Yibo Lin
2024Toward Controllable Hierarchical Clock Tree Synthesis with Skew-Latency-Load Tree.
Weiguo Li, Zhipeng Huang, Bei Yu, Wenxing Zhu, Xingquan Li
2024Toward High-Accuracy, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ.
Md. Abdullah-Al Kaiser, Gourav Datta, Peter A. Beerel, Akhilesh R. Jaiswal
2024Towards Cost-Effective Real-Time High-Throughput End Station Design for Time-Sensitive Networking (TSN).
Chuanyu Xue, Tianyu Zhang, Song Han
2024Towards Efficient SRAM-PIM Architecture Design by Exploiting Unstructured Bit-Level Sparsity.
Cenlin Duan, Jianlei Yang, Yiou Wang, Yikun Wang, Yingjie Qi, Xiaolin He, Bonan Yan, Xueyan Wang, Xiaotao Jia, Weisheng Zhao
2024Towards High-Performance Virtual Platforms: A Parallelization Strategy for SystemC TLM-2.0 CPU Models.
Nils Bosbach, Niko Zurstraßen, Rebecca Pelke, Lukas Jünger, Jan Henrik Weinstock, Rainer Leupers
2024Towards Redundancy-Free Recommendation Model Training via Reusable-aware Near-Memory Processing.
Haifeng Liu, Long Zheng, Yu Huang, Haoyan Huang, Xiaofei Liao, Hai Jin
2024TraceFormer: S-parameter Prediction Framework for PCB Traces based on Graph Transformer.
Doyun Kim, Jaemin Park, Youngmin Oh, Bosun Hwang
2024TrafficHD: Efficient Hyperdimensional Computing for Real-Time Network Traffic Analytics.
Haodong Lu, Zhiyuan Ma, Xinran Li, Shiyan Bi, Xiaoming He, Kun Wang
2024TraiNDSim: A Simulation Framework for Comprehensive Performance Evaluation of Neuromorphic Devices for On-Chip Training.
Donghyeok Heo, Hyeonsu Bang, Jong Hwan Ko
2024Trapped by Your WORDs: (Ab)using Processor Exception for Generic Binary Instrumentation on Bare-metal Embedded Devices.
Shipei Qu, Xiaolin Zhang, Chi Zhang, Dawu Gu
2024Triplet Network-Based DNA Encoding for Enhanced Similarity Image Retrieval.
Takefumi Koike, Hiromitsu Awano, Takashi Sato
2024Uncovering Software-Based Power Side-Channel Attacks on Apple M1/M2 Systems.
Nikhil Chawla, Chen Liu, Abhishek Chakraborty, Igor Chervatyuk, Thais Moreira Hamasaki, Ke Sun, Henrique Kawakami
2024Unleashing the Potential of AQFP Logic Placement via Entanglement Entropy and Projection.
Yinuo Bai, Enxin Yi, Wei W. Xing, Bei Yu, Zhou Jin
2024Unleashing the Power of T1-cells in SFQ Arithmetic Circuits.
Rassul Bairamkulov, Mingfei Yu, Giovanni De Micheli
2024UpDLRM: Accelerating Personalized Recommendation using Real-World PIM Architecture.
Sitian Chen, Haobin Tan, Amelie Chi Zhou, Yusen Li, Pavan Balaji
2024Using Probabilistic Model Rollouts to Boost the Sample Efficiency of Reinforcement Learning for Automated Analog Circuit Sizing.
Mohsen Ahmadzadeh, Georges G. E. Gielen
2024VAE-HDC: Efficient and Secure Hyper-dimensional Encoder Leveraging Variation Analog Entropy.
Boyang Cheng, Jianbo Liu, Steven Davis, Zephan M. Enciso, Yiyang Zhang, Ningyuan Cao
2024VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge.
Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio, Nicola Dall'Ora, Enrico Macii, Sara Vinco, Santa Di Cataldo, Franco Fummi
2024VITA: ViT Acceleration for Efficient 3D Human Mesh Recovery via Hardware-Algorithm Co-Design.
Shilin Tian, Chase Szafranski, Ce Zheng, Fan Yao, Ahmed Louri, Chen Chen, Hao Zheng
2024VVIP: Versatile Vertical Indexing Processor for Edge Computing.
Hyungjoon Bae, Da Won Kim, Wanyeong Jung
2024ViT-slice: End-to-end Vision Transformer Accelerator with Bit-slice Algorithm.
Dongjin Shin, Insu Choi, Joon-Sung Yang
2024Voronoi Diagram-based Multiple Power Plane Generation on Redistribution Layers in 3D ICs.
Chia-Wei Lin, Jing-Yao Weng, I-Te Lin, Ho-Chieh Hsu, Chia-Ming Liu, Mark Po-Hung Lin
2024Whisper: Timing the Transient Execution to Leak Secrets and Break KASLR.
Yu Jin, Chunlu Wang, Pengfei Qiu, Chang Liu, Yihao Yang, Hongpei Zheng, Yongqiang Lyu, Xiaoyong Li, Gang Qu, Dongsheng Wang
2024WinoGen: A Highly Configurable Winograd Convolution IP Generator for Efficient CNN Acceleration on FPGA.
Mingjun Li, Pengjia Li, Shuo Yin, Shixin Chen, Beichen Li, Chong Tong, Jianlei Yang, Tinghuan Chen, Bei Yu
2024ZeroTetris: A Spacial Feature Similarity-based Sparse MLP Engine for Neural Volume Rendering.
Haochuan Wan, Linjie Ma, Antong Li, Pingqiang Zhou, Jingyi Yu, Xin Lou
2024Zeroth-Order Optimization of Optical Neural Networks with Linear Combination Natural Gradient and Calibrated Model.
Hiroshi Sawada, Kazuo Aoyama, Kohei Ikeda
2024inGRASS: Incremental Graph Spectral Sparsification via Low-Resistance-Diameter Decomposition.
Ali Aghdaei, Zhuo Feng
2024zeroTT: A Two-Step State Transition Avoidance Scheme for MLC STT-RAM.
Dong Yin, Huizhang Luo, Jeff Zhang, Mingxing Duan, Wangdong Yang, Zhuo Tang, Kenli Li