ICCAD A

240 papers

YearTitle / Authors
20242024 ICCAD CAD Contest Problem A: Reinforcement Logic Optimization for a General Cost Function.
Chung-Han Chou, Chih-Jen Hsu, Chi-An Wu, Kuan-Hua Tu, Kwangsoo Han, Zhou Li
20242024 ICCAD CAD Contest Problem B: Power and Timing Optimization Using Multibit Flip-Flop.
Sheng-Wei Yang, Jhih-Wei Hsu, Ting-Wei Lee, Tzu-Hsuan Chen, Cindy Chin-Fang Shen
20242024 ICCAD CAD Contest Problem C: Scalable Logic Gate Sizing Using ML Techniques and GPU Acceleration.
Bing-Yue Wu, Rongjian Liang, Geraldo Pradipta, Anthony Agnesina, Haoxing Ren, Vidya A. Chhabria
2024A Built-In Integrated Rowhammer, Rowpress, and Leakage Detection Sensor for DRAM.
Nezam Rohbani, Rouzbeh Pirayadi, Mohammad Arman Soleimani, Adrián Cristal Kestelman, Osman S. Unsal, Hamid Sarbazi-Azad
2024A Co-optimization Framework with Multi-layer Constraints for Manufacturability.
Guohao Chen, Chang Liu, Xingyu Tong, Peng Zou, Jianli Chen
2024A Framework for Explainable, Comprehensive, and Customizable Memory-Centric Workloads.
Mohamed Abuelala, Mohamed Hassan
2024A Hardware-Aware Gate Cutting Framework for Practical Quantum Circuit Knitting.
Xiangyu Ren, Mengyu Zhang, Antonio Barbalace
2024A Hypergraph Partitioner Utilizing a Novel Graph Generative Model.
Magi Chen, Ting-Chi Wang
2024A Neural-Ordinary-Differential-Equations Based Generic Approach for Process Modeling in DTCO: A Case Study in Chemical-Mechanical Planarization and Copper Plating.
Yue Qian, Lan Chen
2024A Physical and Timing Aware Placement Optimization Framework Based on Graph Neural Network.
Wenjie Ding, Zhanhua Zhang, Guoqing He, Peng Cao
2024A Processing-using-Memory Architecture for Commodity DRAM Devices with Enhanced Compatibility and Reliability.
Hoon Shin, Rihae Park, Jae W. Lee
2024A Sparsity-Aware Autonomous Path Planning Accelerator with Algorithm-Architecture Co-Design.
Yanjun Zhang, Xiaoyu Niu, Yifan Zhang, Hongzheng Tian, Bo Yu, Shaoshan Liu, Sitao Huang
2024A comparison on constrain encoding methods for quantum approximate optimization algorithm.
Yiwen Liu, Qingyue Jiao, Yiyu Shi, Ke Wan, Shangjie Guo
2024A materials- and devices-centric approach to neuromorphic computing.
Shaloo Rakheja
2024ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models.
Yuxuan Yin, Yu Wang, Boxun Xu, Peng Li
2024AESHA: Accelerating Eigen-decomposition-based Sparse Transformer with Hybrid RRAM-SRAM Architecture.
Xuliang Yu, Tianwei Ni, Xinsong Sheng, Yun Pan, Lei He, Liang Zhao
2024AGC: A Unified Architecture for Accelerating K-Nearest Neighbor Graph Construction in Vector Search.
Lei Dai, Ziming Yuan, Wen Li, Shengwen Liang, Kaiwei Zou, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li
2024AI-Driven Evaluation and Optimization of Bump Pitch Effects on Chiplet and Interposer Design Quality.
Seungmin Woo, Pruek Vanna-Iampikul, Sung Kyu Lim
2024ALISA: An Adaptive Learned Index Structure for Spatial Data on Solid-State Drives.
Che-Wei Lin, Chun-Feng Wu
2024ALISE: Accelerating Large Language Model Serving with Speculative Scheduling.
Youpeng Zhao, Jun Wang
2024AMAZE: Accelerated MiMC Hardware Architecture for Zero-Knowledge Applications on the Edge.
Anees Ahmed, Nojan Sheybani, Davi Moreno, Nges Brian Njungle, Tengkai Gong, Michel A. Kinsy, Farinaz Koushanfar
2024APINT: A Full-Stack Framework for Acceleration of Privacy-Preserving Inference of Transformers based on Garbled Circuits.
Hyunjun Cho, Jaeho Jeon, Jaehoon Heo, Joo-Young Kim
2024ARO: Autoregressive Operator Learning for Transferable and Multi-fidelity 3D-IC Thermal Analysis With Active Learning.
Mingyue Wang, Yuanqing Cheng, Weiheng Zeng, Zhenjie Lu, Vasilis F. Pavlidis, Wei Xing
2024ASCENT: Amplifying Power Side-Channel Resilience via Learning & Monte-Carlo Tree Search.
Jitendra Bhandari, Animesh Basak Chowdhury, Ozgur Sinanoglu, Siddharth Garg, Ramesh Karri, Johann Knechtel
2024ATPlace2.5D: Analytical Thermal-Aware Chiplet Placement Framework for Large-Scale 2.5D-IC.
Qipan Wang, Xueqing Li, Tianyu Jia, Yibo Lin, Runsheng Wang, Ru Huang
2024Accelerating Fault Injection for Validating Processor RTL Implementations.
Yi Yuan, Derek Chiou
2024Accelerating Quantum Circuit Simulation with Symbolic Execution and Loop Summarization.
Tian-Fu Chen, Yu-Fang Chen, Jie-Hong Roland Jiang, Sára Jobranová, Ondrej Lengál
2024Accurate, Yet Scalable: A SPICE-based Design and Optimization Framework for eNVM based Analog In-memory Computing.
S. M. Mojahidul Ahsan, Muhammad Sakib Shahriar, Mrittika Chowdhury, Tanvir Hossain, Md Sakib Hasan, Tamzidul Hoque
2024AceRoute: Adaptive Compute-Efficient FPGA Routing with Pluggable Intra-Connection Bidirectional Exploration.
Xinming Wei, Ziyun Zhang, Sunan Zou, Kaiwen Sun, Jiahao Zhang, Jiaxi Zhang, Ping Fan, Guojie Luo
2024AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing.
Tong Zhou, Jiahui Zhao, Yukui Luo, Xi Xie, Wujie Wen, Caiwen Ding, Xiaolin Xu
2024AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference.
Shuzhang Zhong, Ling Liang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li
2024An Access Pattern-aware Hybrid Learning-based and Conventional Mapping for Solid-State Drives.
Qian Wei, Xiaosu Guo, Jie Wang, Zhaoyan Shen, Dongxiao Yu, Zhiping Jia, Bingzhe Li
2024An Agile Framework for Efficient LLM Accelerator Development and Model Inference.
Lvcheng Chen, Ying Wu, Chenyi Wen, Shizhang Wang, Li Zhang, Bei Yu, Qi Sun, Cheng Zhuo
2024An Effective Analytical Placement Approach to Handle Fence Region Constraint.
Jai-Ming Lin, Wei-Yuan Lin, Yung-Chen Chen, Pin-Yu Chen, Chen-Fa Tsai, De-Shiun Fu, Che-Li Lin
2024An Effective ECO Methodology for Reducing Back-side Design Rule Violations in Double-sided Signal Routing.
Che-Ping Tsai, Fang-Yu Hsu, Wai-Kei Mak, Ting-Chi Wang
2024An FPGA-based Key-Switching Accelerator with Ultra-High Throughput for FHE.
Zhaojun Lu, Peng Xu, Yijie Wang, Yifan Yang, Qidong Chen, Weizong Yu, Gang Qu
2024An O(m+n)-Space Spatiotemporal Denoising Filter with Cache-Like Memories for Dynamic Vision Sensors.
Qinghang Zhao, Jiaqi Wang, Yixi Ji, Jinjian Wu, Guangming Shi
2024AnalogGym: An Open and Practical Testing Suite for Analog Circuit Synthesis.
Jintao Li, Haochang Zhi, Ruiyu Lyu, Wangzhen Li, Zhaori Bi, Keren Zhu, Yanhan Zeng, Weiwei Shan, Changhao Yan, Fan Yang, Yun Li, Xuan Zeng
2024Analyzing the Impact of FinFET Self-Heating on the Performance of RF Power Amplifiers.
Nibedita Karmokar, Sai-Wang Tam, Thanh Viet Dinh, Vidya A. Chhabria, Ramesh Harjani, Sachin S. Sapatnekar
2024Are LLMs Any Good for High-Level Synthesis?
Yuchao Liao, Tosiron Adegbija, Roman Lysecky
2024Automatic Generation of Cycle-Accurate Timing Models from RTL for Hardware Accelerators.
Yu Zeng, Aarti Gupta, Sharad Malik
2024Automatic Verification and Identification of Partial Retention Register Sets for Low-Power Designs.
Yu-An Shih, Sharad Malik
2024AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge.
Chao Wu, Yifan Gong, Liangkai Liu, Mengquan Li, Yushu Wu, Xuan Shen, Zhimin Li, Geng Yuan, Weisong Shi, Yanzhi Wang
2024BPINN-EM: Fast Stochastic Analysis of Electromigration Damage using Bayesian Physics-Informed Neural Networks.
Subed Lamichhane, Mohammadamir Kavousi, Sheldon X.-D. Tan
2024Balor: HLS Source Code Evaluator Based on Custom Graphs and Hierarchical GNNs.
Emmet Murphy, Lana Josipovic
2024Barber: Balancing Thermal Relaxation Deviations of NISQ Programs by Exploiting Bit-Inverted Circuits.
Enhyeok Jang, Seungwoo Choi, Youngmin Kim, Jeewoo Seo, Won Woo Ro
2024BasisN: Reprogramming-Free RRAM-Based In-Memory-Computing by Basis Combination for Deep Neural Networks.
Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Ulf Schlichtmann, Bing Li
2024Bayesian-Informed Hyperdimensional Learning for Intelligent and Efficient Data Processing.
Hamza Errahmouni Barkam, Tamoghno Das, Prathyush Poduval, Sungheon Jeong, Calvin Yeung, Mostafa A. Solitan, Mohsen Imani
2024Beyond the Yield Barrier: Variational Importance Sampling Yield Analysis.
Yanfang Liu, Lei He, Wei W. Xing
2024CAMSHAP: Accelerating Machine Learning Model Explainability with Analog CAM.
John Moon, Giacomo Pedretti, Pedro Bruel, Sergey Serebryakov, Omar Eldash, Luca Buonanno, Catherine E. Graves, Paolo Faraboschi, Jim Ignowski
2024CFIRSTNET: Comprehensive Features for Static IR Drop Estimation with Neural Network.
Yu-Tung Liu, Yu-Hao Cheng, Shao-Yu Wu, Hung-Ming Chen
2024CSP: Comprehensively-Sparsified Preconditioner for Efficient Nonlinear Circuit Simulation.
Yuxuan Zhao, Xiaoyu Yang, Yinuo Bai, Lijie Zeng, Dan Niu, Weifeng Liu, Zhou Jin
2024CellRejuvo: Rescuing the Aging of 3D NAND Flash Cells with Dense-Sparse Cell Reprogramming.
Han-Yu Liao, Yi-Shen Chen, Jen-Wei Hsieh, Hung-Pin Chen, Yuan-Hao Chang
2024ChatOPU: An FPGA-based Overlay Processor for Large Language Models with Unstructured Sparsity.
Tiandong Zhao, Shaoqiang Lu, Chen Wu, Lei He
2024CircuitSeer: RTL Post-PnR Delay Prediction via Coupling Functional and Structural Representation.
Sanjay Gandham, Joe Walston, Sourav Samanta, Lingxiang Yin, Hao Zheng, Mingjie Lin, Stelios Diamantidis
2024Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment.
Yuhao Ji, Chao Fang, Shaobo Ma, Haikuo Shao, Zhongfeng Wang
2024Co-Designing NVM-based Systems for Machine Learning and In-memory Search Applications.
Jörg Henkel, Lokesh Siddhu, Hassan Nassar, Lars Bauer, Jian-Jia Chen, Christian Hakert, Tristan Taylan Seidl, Kuan-Hsun Chen, Xiaobo Sharon Hu, Mengyuan Li, Chia-Lin Yang, Ming-Liang Wei
2024Co-designing 2.5D Silicon Photonic Accelerators for Distributed Transformer at the Edge.
Dharanidhar Dang, Priyabrata Dash, Luqi Zheng, Haitong Li
2024CoCoA: Algorithm-Hardware Co-Design for Large-Scale GNN Training using Compressed Graph.
Yunki Han, Jaekang Shin, Gunhee Park, Lee-Sup Kim
2024Compiler Optimizations for QAOA.
Yuchen Zhu, Yidong Zhou, Jinglei Cheng, Yuwei Jin, Boxi Li, Siyuan Niu, Zhiding Liang
2024ConSmax: Hardware-Friendly Alternative Softmax with Learnable Parameters.
Shiwei Liu, Guanchen Tao, Yifei Zou, Derek Chow, Zichen Fan, Kauna Lei, Bangfei Pan, Dennis Sylvester, Gregory Kielian, Mehdi Saligane
2024Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QA.
Yuan Pu, Zhuolun He, Tairu Qiu, Haoyuan Wu, Bei Yu
2024DDP-Fsim: Efficient and Scalable Fault Simulation for Deterministic Patterns with Two-Dimensional Parallelism.
Feng Gu, Mingjun Wang, Jianan Mu, Zizhen Liu, Jiaping Tang, Hui Wang, Yonghao Wang, Jing Ye, Huawei Li, Xiaowei Li
2024DISC: Exploiting Data Parallelism of Non-Stencil Computations on CGRAs via Dynamic Iteration Scheduling.
Yue Liang, Di Mou, Dajiang Liu
2024Dataflow Accelerator Architecture for Autonomous Machine Computing.
Shaoshan Liu, Yuhao Zhu, Bo Yu, Jean-Luc Gaudiot, Guangrong Gao
2024DeepGate3: Towards Scalable Circuit Representation Learning.
Zhengyuan Shi, Ziyang Zheng, Sadaf Khan, Jianyuan Zhong, Min Li, Qiang Xu
2024Detecting Fraudulent Services on Quantum Cloud Platforms via Dynamic Fingerprinting.
Jindi Wu, Tianjie Hu, Qun Li
2024Detecting Hardware Trojans in Manufactured Chips without Reference: A GMM-Based Approach.
Mahsa Tahghigh, Hassan Salmani
2024DiffSAT: Differential MaxSAT Layer for SAT Solving.
Yu Zhang, Hui-Ling Zhen, Mingxuan Yuan, Bei Yu
2024Differentiable Edge-based OPC.
Guojin Chen, Haoyu Yang, Haoxing Mark Ren, Bei Yu, David Z. Pan
2024DoS-FPGA: Denial of Service on Cloud FPGAs via Coordinated Power Hammering.
Hassan Nassar, Philipp Machauer, Lars Bauer, Dennis Gnad, Mehdi Baradaran Tahoori, Jörg Henkel
2024EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research.
Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Yiran Chen, Hai Helen Li
2024EI-PIT: A Parallel-in-Time Exponential Integrator Method for Transient Linear Circuit Simulation.
Hang Zhou, Quan Chen
2024EPipe: Pipeline Inference Framework with High-quality Offline Parallelism Planning for Heterogeneous Edge Devices.
Yi Xiong, Weihong Liu, Rui Zhang, Yulong Zu, Zongwei Zhu, Xuehai Zhou
2024EasyPart: An Effective and Comprehensive Hypergraph Partitioner for FPGA-based Emulation.
Shengbo Tong, Haoyuan Li, Jiahao Xu, Chunyan Pei, Wenjian Yu, Shengjun Liu, Jian Shen
2024Edge-BiT: Software-Hardware Co-design for Optimizing Binarized Transformer Networks Inference on Edge FPGA.
Shuai Zhou, Sisi Meng, Huinan Tian, Jun Yu, Kun Wang
2024Efficient High-Fidelity Two-Dimensional Warpage Modeling for Advanced Packaging Analysis.
Shao-Yu Lo, MaoZe Liu, Yao-Wen Chang
2024Efficient Task Transfer for HLS DSE.
Zijian Ding, Atefeh Sohrabizadeh, Weikai Li, Zongyue Qin, Yizhou Sun, Jason Cong
2024Efficient Ultra-Dense 3D IC Power Delivery and Cooling Using 3D Thermal Scaffolding.
Dennis Rich, Tathagata Srimani, Mohamadali Malakoutian, Srabanti Chowdhury, Subhasish Mitra
2024Enabling Robust Inverse Lithography with Rigorous Multi-Objective Optimization.
Yang Luo, Xiaoxiao Liang, Yuzhe Ma
2024Enforcing hard constraints in physics-informed learning for transient TSV electromigration analysis.
Xiaoman Yang, Hai-Bao Chen, Wenjie Zhu, Yuhan Zhang, Yongkang Xue, Pengpeng Ren, Runsheng Wang, Zhigang Ji, Ru Huang
2024Enhancing DNN Accelerator Integrity via Selective and Permuted Recomputation.
Jhon Ordoñez, Chengmo Yang
2024Equivalence Checking for Flow-Based Computing using Iterative SAT Solving.
Sven Thijssen, Muhammad Rashedul Haq Rashed, Md Rubel Ahmed, Suraj Singireddy, Sumit Kumar Jha, Rickard Ewetz
2024Error Correction and Detection for Analog AI Computing in Edge Systems.
Anxiao Jiang
2024Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks.
Vojtech Mrazek, Argyris Kokkinis, Panagiotis Papanikolaou, Zdenek Vasícek, Kostas Siozios, Georgios Tzimpragos, Mehdi B. Tahoori, Georgios Zervakis
2024Explainable and Layout-Aware Timing Prediction.
Zhengyang Lyu, Xiaqing Li, Zidong Du, Qi Guo
2024Exploration of Timing and Higher-Energy Attacks on Quantum Random Access Memory.
Yizhuo Tan, Chuanqi Xu, Jakub Szefer
2024Extending High-Level Synthesis with AI/ML Methods.
Nicolas Bohm Agostini, Giovanni Gozzi, Michele Fiorito, Claudio Barone, Serena Curzel, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Fabrizio Ferrandi, Antonino Tumeo
2024FAS-Trans: Fully Exploiting FFN and Attention Sparsity for Transformer on FPGA.
Hongji Wang, Kun Wang, Yifan Zhang, Jun Yu
2024FLOP: A Flexible Memory-Optimized Processor for Parallel Graph Mining on FPGA.
Guoyu Li, Runzhou Zhang, Jun Yu, Kun Wang
2024FSMM: An Efficient Matrix Multiplication Accelerator Supporting Flexible Sparsity.
Yuxuan Qiao, Fan Yang, Yecheng Zhang, Xiankui Xiong, Xiao Yao, Haidong Yao
2024FaStTherm: Fast and Stable Full-Chip Transient Thermal Predictor Considering Nonlinear Effects.
Tianxiang Zhu, Qipan Wang, Yibo Lin, Runsheng Wang, Ru Huang
2024FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries.
Yuqi Jiang, Xudong Lu, Qian Jin, Qi Sun, Hanming Wu, Cheng Zhuo
2024Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization.
Jinhao Li, Jiaming Xu, Shiyao Li, Shan Huang, Jun Liu, Yaoxiu Lian, Guohao Dai
2024Fault Tolerant In-Memory Computing based on Emerging Technologies for Ultra-Low Precision Edge AI Accelerators.
Akul Malhotra, Sumeet Kumar Gupta
2024FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference.
Jiangrui Yu, Wenxuan Zeng, Tianshi Xu, Renze Chen, Yun Liang, Runsheng Wang, Ru Huang, Meng Li
2024FlexInt: A New Number Format for Robust Sub-8-Bit Neural Network Inference.
Minuk Hong, Hyeonuk Sim, Sugil Lee, Jongeun Lee
2024FloorSet - a VLSI Floorplanning Dataset with Design Constraints of Real-World SOCs.
Uday Mallappa, Hesham Mostafa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar
2024Fortifying the NAND Flash Supply Chain with Innovative Security Primitives.
Matchima Buddhanoy, Biswajit Ray
2024Foveated HDR: Efficient HDR Content Generation on Edge Devices Leveraging User's Visual Attention.
Ziyu Ying, Sandeepa Bhuyan, Yingtian Zhang, Yan Kang, Mahmut T. Kandemir, Chita R. Das
2024Fusion of Global Placement and Gate Sizing with Differentiable Optimization.
Yufan Du, Zizheng Guo, Yibo Lin, Runsheng Wang, Ru Huang
2024GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning.
Yongbo Yu, Fuxun Yu, Zhi Tian, Xiang Chen
2024GAT-Steiner: Rectilinear Steiner Minimal Tree Prediction Using GNNs.
Bugra Onal, Eren Dogan, Muhammad Hadir Khan, Matthew R. Guthaus
2024GL0AM: GPU Logic Simulation Using 0-Delay and Re-simulation Acceleration Method.
Yanqing Zhang, Haoxing Ren, Brucek Khailany
2024GNN-Based Performance Prediction of Quantum Optimization of Maximum Independent Set.
Atefeh Sohrabizadeh, Wan-Hsuan Lin, Daniel Bochen Tan, Madelyn Cain, Sheng-Tao Wang, Mikhail D. Lukin, Jason Cong
2024Generative AI Agents in Autonomous Machines: A Safety Perspective.
Jason Jabbour, Vijay Janapa Reddi
2024Generative Methods in EDA: Innovations in Dataset Generation and EDA Tool Assistants.
Vidya A. Chhabria, Bing-Yue Wu, Utsav Sharma, Kishor Kunal, Austin Rovinski, Sachin S. Sapatnekar
2024HDXpose: Harnessing Hyperdimensional Computing's Explainability for Adversarial Attacks.
Fatemeh Asgarinejad, Flavio Ponzina, Onat Güngör, Tajana Rosing, Baris Aksanli
2024HERMES: Homomorphic Encryption over Residual Number System for Multi-level EvaluationS.
Antian Wang, Kaiyuan Zhang, Keshab K. Parhi, Yingjie Lao
2024HG-PIPE: Vision Transformer Acceleration with Hybrid-Grained Pipeline.
Qingyu Guo, Jiayong Wan, Songqiang Xu, Meng Li, Yuan Wang
2024HLSPilot: LLM-based High-Level Synthesis.
Chenwei Xiong, Cheng Liu, Huawei Li, Xiaowei Li
2024Hardware-Aware Quantization for Accurate Memristor-Based Neural Networks.
Sumit Diware, Mohammad Amin Yaldagard, Rajendra Bishnoi
2024HeLEM-GR: Heterogeneous Global Routing with Linearized Exponential Multiplier Method.
Chunyuan Zhao, Zizheng Guo, Rui Wang, Zaiwen Wen, Yun Liang, Yibo Lin
2024HeteroExcept: A CPU-GPU Heterogeneous Algorithm to Accelerate Exception-aware Static Timing Analysis.
Zizheng Guo, Zuodong Zhang, Wuxi Li, Tsung-Wei Huang, Xizhe Shi, Yufan Du, Yibo Lin, Runsheng Wang, Ru Huang
2024Heterogeneous Manycore In-Memory Computing Architectures.
Chukwufumnanya Ogbogu, Gaurav Narang, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande
2024Hierarchical Power Co-Optimization and Management for LLM Chiplet Designs.
Yanchi Dong, Xueping Liu, Xiaochen Hao, Yun Liang, Ru Huang, Le Ye, Tianyu Jia
2024HybriDIFT: Scalable Memory-Aware Dynamic Information Flow Tracking for Hardware.
Flavien Solt, Kaveh Razavi
2024Hybrid Modeling and Weighting for Timing-driven Placement with Efficient Calibration.
Bangqi Fu, Lixin Liu, Martin D. F. Wong, Evangeline F. Y. Young
2024Hybrid Power Failure Recovery for Intermittent Computing.
Gan Fang, Jongouk Choi, Changhee Jung
2024Hyena: Optimizing Homomorphically Encrypted Convolution for Private CNN Inference.
Hyeri Roh, Woo-Seok Choi
2024ISLU: Indexing-Efficient Sparse LU Factorization for Circuit Simulation on GPUs.
Dan Niu, Yiyang Tao, Zhou Jin, Yichao Dong, Chao Wang, Changyin Sun
2024Imaging, Computing, and Human Perception: Three Agents to Usher in the Autonomous Machine Computing Era.
Yuhao Zhu
2024Improving Timing & Power Trade-off in Post-place Optimization Using Multi-agent Reinforcement Learning.
Jaemin Seo, Sejin Park, Seokhyeong Kang
2024InstantGR: Scalable GPU Parallelization for Global Routing.
Shiju Lin, Liang Xiao, Jinwei Liu, Evangeline F. Y. Young
2024Invited Paper: Efficient Design of FHEW/TFHE Bootstrapping Implementation with Scalable Parameters.
Ming-Chien Ho, Yu-Te Ku, Yu Xiao, Feng-Hao Liu, Chih-Fan Hsu, Ming-Ching Chang, Shih-Hao Hung, Wei-Chao Chen
2024Invited Paper: Enhancing Privacy-Preserving Computing with Optimized CKKS Encryption: A Hardware Acceleration Approach.
Tianyou Bao, Pengzhou He, Jiafeng Xie
2024Invited Paper: LLM4HWDesign Contest: Constructing a Comprehensive Dataset for LLM-Assisted Hardware Code Generation with Community Efforts.
Zhongzhi Yu, Chaojian Li, Yongan Zhang, Mingjie Liu, Nathaniel Ross Pinckney, Wenfei Zhou, Haoyu Yang, Rongjian Liang, Haoxing Ren, Yingyan Celine Lin
2024Is Vanilla Bayesian Optimization Enough for High-Dimensional Architecture Design Optimization?
Yuanhang Gao, Donger Luo, Chen Bai, Bei Yu, Hao Geng, Qi Sun, Cheng Zhuo
2024JigsawPlanner: Jigsaw-like Floorplanner for Eliminating Whitespace and Overlap among Complex Rectilinear Modules.
Xingbo Du, Ruizhe Zhong, Shixiong Kai, Zhentao Tang, Siyuan Xu, Jianye Hao, Mingxuan Yuan, Junchi Yan
2024Joint Placement Optimization for Hierarchical Analog/Mixed-Signal Circuits.
Xiaohan Gao, Haoyi Zhang, Bingyang Liu, Yibo Lin, Runsheng Wang, Ru Huang
2024KirchhoffNet: A Scalable Ultra Fast Analog Neural Network.
Zhengqi Gao, Fan-Keng Sun, Ron Rohrer, Duane S. Boning
2024LACO: A Latency-Constraint Offline Neural Network Scheduler towards Reliable Self-Driving Perception.
Kaisheng Ma, Zhanhong Tan, Zijian Zhu, Mengdi Wu
2024LAG-Sizer: A Novel Gate Sizer Based on Leak Generative Adversarial Network with Feature Fusion.
Zhanhua Zhang, Wenjie Ding, Guoqing He, Peng Cao
2024LEAP: Learning guided Quality Cut selection for faster Technology Mapping.
Chandrabhusan Reddy Chigarapally, Harshwardhan Nitin Bhakkad, Animesh Basak Chowdhury, Chandan Karfa, Sukanta Bhattacharjee
2024LLM-AID: Leveraging Large Language Models for Rapid Domain-Specific Accelerator Development.
Farshad Firouzi, Sri Sai Rakesh Nakkilla, Chenghao Fu, Sanmitra Banerjee, Jonti Talukdar, Krishnendu Chakrabarty
2024LSMR: Synergy Randomness in Liquid State Machine and RRAM-based Analog-digital Accelerator.
Ning Lin, Songqi Wang, Xinyuan Zhang, Shaocong Wang, Yangu He, Woyu Zhang, Bo Wang, Jiankun Li, Mingzi Li, Binbin Cui, Yi Li, Jia Chen, Chunwei Xia, Wei Xuan, Xiaoming Chen, Dashan Shang, Zhongrui Wang
2024Large Scale Delocalized Federated Learning Over a Huge Diversity of Devices in Emerging Next-Generation Edge Intelligence Environments.
Mahdi Morafah, Hojin Chang, Bill Lin
2024LaserEscape: Detecting and Mitigating Optical Probing Attacks.
Saleh Khalaj Monfared, Kyle Mitard, Andrew Cannon, Domenic Forte, Shahin Tajik
2024Layout-level Hardware Trojan Prevention in the Context of Physical Design.
Xingyu Tong, Guohao Chen, Min Wei, Zhijie Cai, Peng Zou, Zhifeng Lin, Jianli Chen
2024Leda: Leveraging Tiling Dataflow to Accelerate SpMM on HBM-Equipped FPGAs for GNNs.
Enxin Yi, Jiarui Bai, Yijie Nie, Dan Niu, Zhou Jin, Weifeng Liu
2024LiTformer: Efficient Modeling and Analysis of High-Speed Link Transmitters Using Non-Autoregressive Transformer.
Songyu Sun, Xiao Dong, Yanliang Sha, Quan Chen, Cheng Zhuo
2024MARCA: Mamba Accelerator with Reconfigurable Architecture.
Jinhao Li, Shan Huang, Jiaming Xu, Jun Liu, Li Ding, Ningyi Xu, Guohao Dai
2024MAXCell: PPA-Directed Multi-Height Cell Layout Routing Optimization using Anytime MaXSAT with Constraint Learning.
Jiun-Cheng Tsai, Wei-Min Hsu, Yun-Ting Hsieh, Yu-Ju Li, Wei Huang, C. N. Ho, Hsuan-Ming Huang, Jen-Hang Yang, Heng-Liang Huang, Aaron C.-W. Liang, Charles H.-P. Wen
2024MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers.
Zebin Yang, Renze Chen, Taiqiang Wu, Ngai Wong, Yun Liang, Runsheng Wang, Ru Huang, Meng Li
2024MEIC: Re-thinking RTL Debug Automation using LLMs.
Ke Xu, Jialin Sun, Yuchen Hu, Xinwei Fang, Weiwei Shan, Xi Wang, Zhe Jiang
2024MORPH: More Robust ASIC Placement for Hybrid Region Constraint Management.
Jing Mai, Zuodong Zhang, Yibo Lin, Runsheng Wang, Ru Huang
2024MapFormer: Attention-based multi-DNN manager for throughout & power co-optimization on embedded devices.
Andreas Karatzas, Iraklis Anagnostopoulos
2024MapTune: Advancing ASIC Technology Mapping via Reinforcement Learning Guided Library Tuning.
Mingju Liu, Daniel Robinson, Yingjie Li, Cunxi Yu
2024MatFactory: A Framework for High-Performance Matrix Factorization on FPGAs.
Mingzhe Zhang, Xiaochen Hao, Hongbo Rong, Wenguang Chen
2024Minimizing Worst-Case Data Transmission Cycles in Wavelength-Routed Optical NoC through Bandwidth Allocation.
Liaoyuan Cheng, Mengchu Li, Tsun-Ming Tseng, Ulf Schlichtmann
2024Mixed-precision Neural Networks on RISC-V Cores: ISA extensions for Multi-Pumped Soft SIMD Operations.
Giorgos Armeniakos, Alexis Maras, Sotirios Xydis, Dimitrios Soudris
2024Modern Fixed-Outline Floorplanning with Rectilinear Soft Modules.
Yu-Yang Chen, Yi-Chen Lin, Tzu-Han Hsu, Iris Hui-Ru Jiang, Tung-Chieh Chen, Tai-Chen Chen, Hua-Yu Chang
2024Multi-Objective Software-Hardware Co-Optimization for HD-PIM via Noise-Aware Bayesian Optimization.
Chien-Yi Yang, Minxuan Zhou, Flavio Ponzina, Suraj Sathya Prakash, Raid Ayoub, Pietro Mercati, Mahesh Subedar, Tajana Rosing
2024Multi-Tier 3D SRAM Module Design: Targeting Bit-Line and Word-Line Folding.
Aditya Sridharan Iyer, Daehyun Kim, Saibal Mukhopadhyay, Sung Kyu Lim
2024Multi-phase Coupled CMOS Ring Oscillator based Potts Machine.
Yilmaz Ege Gonul, Baris Taskin
2024NAND-Tree: A 3D NAND Flash Based Processing In Memory Accelerator for Tree-Based Models on Large-Scale Tabular Data.
Hongtao Zhong, Taixin Li, Yiming Chen, Wenjun Tang, Juejian Wu, Huazhong Yang, Xueqing Li
2024NORNS: Three Guides for Efficient Automatic Post-Fabrication Optimization of Modern NAND Flash Memory.
Earl Kim, Hyunuk Cho, Sungjun Cho, Myungsuk Kim, Jisung Park, Jaeyong Jeong, Eunkyoung Kim, Sunghoi Hur
2024Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation.
Kaiyan Chang, Zhirong Chen, Yunhao Zhou, Wenlong Zhu, Kun Wang, Haobo Xu, Cangyuan Li, Mengdi Wang, Shengwen Liang, Huawei Li, Yinhe Han, Ying Wang
2024Neural Architecture Search for Highly Bespoke Robust Printed Neuromorphic Circuits.
Priyanjana Pal, Haibin Zhao, Tara Gheshlaghi, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
2024Neuromorphic Computing for Graph Analytics.
Anup Das
2024Non-volatile Memory Technologies for Edge AI Applications.
Xiaoyu Sun, Win-San Khwa, Xiaochen Peng, Meng-Fan Chang, Kerem Akarvardar
2024OCTS: An Optical Clock Tree Synthesis Methodology for 2.5D Systems.
Aristotelis Tsekouras, Georgios Kyriazidis, Gage Hills, Vasilis F. Pavlidis
2024OFT: An accelerator with eager gradient prediction for attention training.
Miao Wang, Shengbing Zhang, Sijia Wang, Zhao Yang, Meng Zhang
2024OSCA: End-to-end Serial Stochastic Computing Neural Acceleration with Fine-grained Scaling and Piecewise Activation.
Yixuan Hu, Yikang Jia, Meng Li, Yuan Wang, Runsheng Wang, Ru Huang
2024On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Job Scheduling.
Wenjie Wu, Yiquan Wang, Ge Yan, Yuming Zhao, Bo Zhang, Junchi Yan
2024On the Security Vulnerabilities of MRAM-based In-Memory Computing Architectures against Model Extraction Attacks.
Saion K. Roy, Naresh R. Shanbhag
2024One-for-All: An Unified Learning-based Framework for Efficient Cross-Corner Timing Signoff.
Linyu Zhu, Yichen Cai, Xinfei Guo
2024OpenLLM-RTL: Open Dataset and Benchmark for LLM-Aided Design RTL Generation.
Shang Liu, Yao Lu, Wenji Fang, Mengming Li, Zhiyao Xie
2024OpenNTT - An Automated Toolchain for Compiling High-Performance NTT Accelerators in FHE.
Florian Krieger, Florian Hirner, Ahmet Can Mert, Sujoy Sinha Roy
2024OpenSource Heterogeneous Chiplet-based Computing Architectures.
Adrian Evans, César Fuguet, Davy Million
2024Optimal Layout Synthesis of Multi-Row Standard Cells for Advanced Technology Nodes.
Sehyeon Chung, Hyunbae Seo, Handong Cho, Kyumyung Choi, Taewhan Kim
2024Optimizing Supply Chain Management using Permissioned Blockchains.
Aritri Saha, Ujjwal Guin
2024OriGen: Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection.
Fan Cui, Chenyang Yin, Kexing Zhou, Youwei Xiao, Guangyu Sun, Qiang Xu, Qipeng Guo, Yun Liang, Xingcheng Zhang, Demin Song, Dahua Lin
2024Overview of 2024 CAD contest at ICCAD.
Shao-Yun Fang, Yi-Yu Liu, Chung-Kuan Cheng, Tsun-Ming Tseng
2024PACiM: A Sparsity-Centric Hybrid Compute-in-Memory Architecture via Probabilistic Approximation.
Wenlun Zhang, Shimpei Ando, Yung-Chin Chen, Satomi Miyagi, Shinya Takamaeda-Yamazaki, Kentaro Yoshioka
2024Package Modeling and Analysis for Heterogeneous Integration.
Chris Bailey, Leslie Hwang, Fnu Pallavi Praful
2024Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era.
Zichang He, Ruslan Shaydulin, Dylan Herman, Changhao Li, Rudy Raymond, Shree Hari Sureshbabu, Marco Pistoia
2024Partial Differential Equation Acceleration by Exploiting Value Similarity.
Zehua Li, Kaisheng Ma
2024Peak Power and Dynamic IR-drop Assessment via Waveform Augmenting.
Yihan Wen, Juan Li, Bei Yu, Xiaoyi Wang
2024Physically Aware Synthesis Revisited: Guiding Technology Mapping with Primitive Logic Gate Placement.
Hongyang Pan, Cunqing Lan, Yiting Liu, Zhiang Wang, Li Shang, Xuan Zeng, Fan Yang, Keren Zhu
2024Placement Tomography-Based Routing Blockage Generation for DRV Hotspot Mitigation.
Andrew B. Kahng, Sayak Kundu, Dooseok Yoon
2024PolarGate: Breaking the Functionality Representation Bottleneck of And-Inverter Graph Neural Network.
Jiawei Liu, Jianwang Zhai, Mingyu Zhao, Zhe Lin, Bei Yu, Chuan Shi
2024Potter: A Parallel Overlap-Tolerant Router for UltraScale FPGAs.
Xinshi Zang, Wenhao Lin, Jinwei Liu, Evangeline F. Y. Young
2024PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization.
Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li
2024ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding.
Shuzhang Zhong, Zebin Yang, Ruihao Gong, Runsheng Wang, Ru Huang, Meng Li
2024Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2024, Newark Liberty International Airport Marriott, NJ, USA, October 27-31, 2024
Jinjun Xiong, Robert Wille
2024Pseudo Adjoint Optimization: Harnessing the Solution Curve for SPICE Acceleration.
Jiatai Sun, Xiaru Zha, Chao Wang, Xiao Wu, Dan Niu, Wei W. Xing, Zhou Jin
2024PulseRF: Physics Augmented ML Modeling and Synthesis for High-Frequency RFIC Design.
Hyunsu Chae, Hao Yu, Sensen Li, David Z. Pan
2024Quantum State Preparation Circuit Optimization Exploiting Don't Cares.
Hanyu Wang, Daniel Bochen Tan, Jason Cong
2024R-HLS: An IR for Dynamic High-Level Synthesis and Memory Disambiguation based on Regions and State Edges.
David Metz, Nico Reissmann, Magnus Själander
2024RABER: Reliability-Aware Bayesian-Optimization-based Control Layer Escape Routing for Flow-based Microfluidics.
Siyuan Liang, Rongliang Fu, Mengchu Li, Tsun-Ming Tseng, Ulf Schlichtmann, Tsung-Yi Ho
2024RACI: A Resource-Aware Cooperative Inference Framework on Heterogeneous Edge Devices.
Zhenyu Wang, Ao Ren, Duo Liu, Haining Fang, Jiaxing Shi, Yujuan Tan, Xianzhang Chen
2024REMNA: Variation-Resilient and Energy-Efficient MLC FeFET Computing-in-Memory Using NAND Flash-Like Read and Adaptive Control.
Taixin Li, Hongtao Zhong, Yixin Xu, Vijaykrishnan Narayanan, Kai Ni, Huazhong Yang, Thomas Kämpfe, Xueqing Li
2024RISCSparse: Point Cloud Inference Engine on RISC-V Processor.
Shangran Lin, Xinrui Zhu, Baohui Xie, Tinghuan Chen, Cheng Zhuo, Qi Sun, Bei Yu
2024RL-Fill: Timing-Aware Fill Insertion using Reinforcement Learning.
Jinoh Cho, SeongHyeon Park, Jakang Lee, Sung-Yun Lee, Jinmo Ahn, Seokhyeong Kang
2024RTLRewriter: Methodologies for Large Models aided RTL Code Optimization.
Xufeng Yao, Yiwen Wang, Xing Li, Yingzhao Lian, Ran Chen, Lei Chen, Mingxuan Yuan, Hong Xu, Bei Yu
2024RandOhm: Mitigating Impedance Side-channel Attacks using Randomized Circuit Configurations.
Saleh Khalaj Monfared, Domenic Forte, Shahin Tajik
2024RankTuner: When Design Tool Parameter Tuning Meets Preference Bayesian Optimization.
Peng Xu, Su Zheng, Yuyang Ye, Chen Bai, Siyuan Xu, Hao Geng, Tsung-Yi Ho, Bei Yu
2024RapidStream IR: Infrastructure for FPGA High-Level Physical Synthesis.
Jason Lau, Yuanlong Xiao, Yutong Xie, Yuze Chi, Linghao Song, Shaojie Xiang, Michael Lo, Zhiru Zhang, Jason Cong, Licheng Guo
2024RareLS: Rarity-Reducing Logic Synthesis for Mitigating Hardware Trojan Threats.
Chang Meng, Mingfei Yu, Hanyu Wang, Wayne P. Burleson, Giovanni De Micheli
2024ReCon: Reconfiguring Analog Rydberg Atom Quantum Computers for Quantum Generative Adversarial Networks.
Nicholas S. DiBrita, Daniel Leeds, Yuqian Huo, Jason Ludmir, Tirthak Patel
2024ReSCIM: Variation-Resilient High Weight-Loading Bandwidth In-Memory Computation Based on Fine-Grained Hybrid Integration of Multi-Level ReRAM and SRAM Cells.
Xiaomeng Wang, Jingyu He, Kunming Shao, Jiakun Zheng, Fengshi Tian, Kwang-Ting (Tim) Cheng, Chi-Ying Tsui
2024Reinforcement Learning-Enhanced Cloud-Based Open Source Analog Circuit Generator for Standard and Cryogenic Temperatures in 130-nm and 180-nm OpenPDKs.
Ali Hammoud, Anhang Li, Wen Tian, Ayushman Tripathi, Harsh Khandeparkar, Ryan Wans, Gregory Kielian, Boris Murmann, Dennis Sylvester, Mehdi Saligane
2024Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation.
Hanqiu Chen, Xuebin Yao, Pradeep Subedi, Cong Hao
2024Revisiting sensitivity-based analog sizing with derivative-aware Bayesian optimization and error-suppressed adjoint analysis.
Ruiyu Lyu, Aidong Zhao, Yuan Meng, Keren Zhu, Zhaori Bi, Changhao Yan, Fan Yang, Dian Zhou, Xuan Zeng
2024Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures.
Ruiyang Qin, Zheyu Yan, Dewen Zeng, Zhenge Jia, Dancheng Liu, Jianbo Liu, Ahmed Abbasi, Zhi Zheng, Ningyuan Cao, Kai Ni, Jinjun Xiong, Yiyu Shi
2024SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution.
Ziang Yin, Nicholas Gangi, Meng Zhang, Jeff Zhang, Z. Rena Huang, Jiaqi Gu
2024SEM-CLIP: Precise Few-Shot Learning for Nanoscale Defect Detection in Scanning Electron Microscope Image.
Qian Jin, Yuqi Jiang, Xudong Lu, Yumeng Liu, Yining Chen, Dawei Gao, Qi Sun, Cheng Zhuo
2024SMT-based Layout Synthesis for Silicon-based Quantum Computing with Crossbar Architecture.
Sheng-Tan Huang, Ying-Jie Jiang, Shao-Yun Fang, Chung-Kuan Cheng
2024SNNGX: Securing Spiking Neural Networks with Genetic XOR Encryption on RRAM-based Neuromorphic Accelerator.
Kwunhang Wong, Songqi Wang, Wei Huang, Xinyuan Zhang, Yangu He, Karl Ming Him Lai, Yuzhong Jiao, Ning Lin, Xiaojuan Qi, Xiaoming Chen, Zhongrui Wang
2024SeGen: Automatic Topology Generator for Sequencing Elements.
Kyounghun Kang, Wanyeong Jung
2024Shedding Light on LLMs: Harnessing Photonic Neural Networks for Accelerating LLMs.
Mahdi Nikdast, Salma Afifi, Sudeep Pasricha
2024ShiftCAM: A Time-Domain Content Addressable Memory Utilizing Shifted Hamming Distance for Robust Genome Analysis.
Peiyi He, Ruibin Mao, Keyi Shan, Yunwei Tong, Zhicheng Xu, Muyuan Peng, Ruibang Luo, Can Li
2024Single Instruction Isolation for RISC-V Vector Test Failures.
Manfred Schlägl, Daniel Große
2024Spiking Transformer Hardware Accelerators in 3D Integration.
Boxun Xu, Junyoung Hwang, Pruek Vanna-Iampikul, Sung Kyu Lim, Peng Li
2024Strengthening the Foundations for IC Physical Design and ML EDA Research.
Vidya A. Chhabria, Vikram Gopalakrishnan, Andrew B. Kahng, Sayak Kundu, Zhiang Wang, Bing-Yue Wu, Dooseok Yoon
2024Sustainable Hardware Specialization.
Pranav Dangi, Thilini Kaushalya Bandara, Saeideh Sheikhpour, Tulika Mitra, Lieven Eeckhout
2024Sustainable High-Performance Instruction Selection for Superscalar Processors.
Saeideh Sheikhpour, David Metz, Erling Jellum, Magnus Själander, Lieven Eeckhout
2024SysMix: Mixed-Size Placement for Systolic-Array-Based Hierarchical Designs.
Donghao Fang, Hailiang Hu, Wuxi Li, Bo Yuan, Jiang Hu
2024Systematic Use of Random Self-Reducibility in Cryptographic Code against Physical Attacks.
Ferhat Erata, Tinghung Chiu, Anthony Etim, Srilalith Nampally, Tejas Raju, Rajashree Ramu, Ruzica Piskac, Timos Antonopoulos, Wenjie Xiong, Jakub Szefer
2024TAP-CAM: A Tunable Approximate Matching Engine based on Ferroelectric Content Addressable Memory.
Chenyu Ni, Sijie Chen, Che-Kai Liu, Liu Liu, Mohsen Imani, Thomas Kämpfe, Kai Ni, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Xunzhao Yin
2024TP-DCIM: Transposable Digital SRAM CIM Architecture for Energy-Efficient and High Throughput Transformer Acceleration.
Junwoo Park, Kyeongho Lee, Jongsun Park
2024TReCiM: Lower Power and Temperature-Resilient Multibit 2FeFET-1T Compute-in-Memory Design.
Yifei Zhou, Thomas Kämpfe, Kai Ni, Hussam Amrouch, Cheng Zhuo, Xunzhao Yin
2024TSB: Tiny Shared Block for Efficient DNN Deployment on NVCIM Accelerators.
Yifan Qin, Zheyu Yan, Zixuan Pan, Wujie Wen, Xiaobo Sharon Hu, Yiyu Shi
2024TSO-Flow: A Topology Synthesis and Optimization Workflow for Operational Amplifiers with Invertible Graph Generative Model.
Jinglin Han, Yuhao Leng, Xiuli Zhang, Peng Wang
2024The Power of Graph Signal Processing for Chip Placement Acceleration.
Yiting Liu, Hai Zhou, Jia Wang, Fan Yang, Xuan Zeng, Li Shang
2024Thinking and Moving: An Efficient Computing Approach for Integrated Task and Motion Planning in Cooperative Embodied AI Systems.
Zishen Wan, Yuhang Du, Mohamed Ibrahim, Yang Katie Zhao, Tushar Krishna, Arijit Raychowdhury
2024Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights.
Soyed Tuhin Ahmed, Michael Hefenbrock, Mehdi B. Tahoori
2024TopoOrderPart: a Multi-level Scheduling-Driven Partitioning Framework for Processor-Based Emulation.
Shunyang Bi, Jing Tang, Hailong You, Haonan Wu, Cong Li, Richard Sun
2024Towards Energy-Aware Federated Learning via MARL: A Dual-Selection Approach for Model and Client.
Jun Xia, Yi Zhang, Yiyu Shi
2024Towards Floating Point-Based Attention-Free LLM: Hybrid PIM with Non-Uniform Data Format and Reduced Multiplications.
Lidong Guo, Zhenhua Zhu, Tengxuan Liu, Xuefei Ning, Shiyao Li, Guohao Dai, Huazhong Yang, Wangyang Fu, Yu Wang
2024Towards Uncertainty-Quantifiable Biomedical Intelligence: Mixed-signal Compute-in-Entropy for Bayesian Neural Networks.
Likai Pei, Yifan Qin, Zephan M. Enciso, Boyang Cheng, Jianbo Liu, Steven Davis, Zhenge Jia, Michael T. Niemier, Yiyu Shi, Xiaobo Sharon Hu, Ningyuan Cao
2024TransLib: An Extensible Graph-Aware Library Framework for Automated Generation of Transformer Operators on FPGA.
Yang Liu, Tianchen Wang, Yuxuan Dong, Zexu Zhang, Shun Li, Jun Yu, Kun Wang
2024UFO-MAC: A Unified Framework for Optimization of High-Performance Multipliers and Multiply-Accumulators.
Dongsheng Zuo, Jiadong Zhu, Chenglin Li, Yuzhe Ma
2024VeriCHERI: Exhaustive Formal Security Verification of CHERI at the RTL.
Anna Lena Duque Antón, Johannes Müller, Philipp Schmitz, Tobias Jauch, Alex Wezel, Lucas Deutschmann, Mohammad Rahmani Fadiheh, Dominik Stoffel, Wolfgang Kunz
2024Voxel-CIM: An Efficient Compute-in-Memory Accelerator for Voxel-based Point Cloud Neural Networks.
Xipeng Lin, Shanshi Huang, Hongwu Jiang
2024Word-Level Augmentation of Formal Proof by Learning from Simulation Traces.
Zhiyuan Yan, Hongce Zhang
2024ZnH2: Augmenting ZNS-based Storage System with Host-Managed Heterogeneous Zones.
Yingjia Wang, Lok Yin Chow, Xirui Nie, Yuhong Liang, Ming-Chang Yang
2024eXpect: On the Security Implications of Violations in AXI Implementations.
Melisande Zonta-Roudes, Andres Meza, Nora Hinderling, Lucas Deutschmann, Francesco Restuccia, Ryan Kastner, Shweta Shinde
2024µLAM: A LLM-Powered Assistant for Real-Time Micro-architectural Attack Detection and Mitigation.
Upasana Mandal, Shubhi Shukla, Ayushi Rastogi, Sarani Bhattacharya, Debdeep Mukhopadhyay