| 2024 | $\mathcal{F}lush+early\mathcal{R}\text{ELOAD}$: Covert Channels Attack on Shared LLC Using MSHR Merging. Aditya S. Gangwar, Prathamesh Nitin Tanksale, Shirshendu Das, Sudeepta Mishra |
| 2024 | 12 mJ Per Class On-Device Online Few-Shot Class-Incremental Learning. Yoga Esa Wibowo, Cristian Cioflan, Thorir Mar Ingolfsson, Michael Hersche, Leo Zhao, Abbas Rahimi, Luca Benini |
| 2024 | A Qingcai Jiang, Shaojie Tan, Junshi Chen, Hong An |
| 2024 | A Compiler Phase to Optimally Split GPU Wavefronts for Safety-Critical Systems. Artem Klashtorny, Mahesh Tripunitara, Hiren D. Patel |
| 2024 | A Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network. Siyu Zhang, Wendong Mao, Huihong Shi, Zhongfeng Wang |
| 2024 | A Concealable RRAM Physical Unclonable Function Compatible with In-Memory Computing. Jiang Li, Yijun Cui, Chenghua Wang, Weiqiang Liu, Shahar Kvatinsky |
| 2024 | A Configurable Approximate Multiplier for CNNs Using Partial Product Speculation. Xiaolu Hu, Ao liu, Xinkuang Geng, Zizhong Wei, Kai Jiang, Honglan Jiang |
| 2024 | A DTCO Framework for 3D NAND Flash Readout. Mattia Gerardi, Arvind Sharma, Yang Xiang, Jakub Kaczmarek, Fernando García-Redondo, Maarten Rosmeulen, Marie Garcia Bardon |
| 2024 | A Data-Driven Analog Circuit Synthesizer with Automatic Topology Selection and Sizing. Souradip Poddar, Ahmet Faruk Budak, Linran Zhao, Chen-Hao Hsu, Supriyo Maji, Keren Zhu, Yaoyao Jia, David Z. Pan |
| 2024 | A Deep- Learning Technique to Locate Cryptographic Operations in Side-Channel Traces. Giuseppe Chiari, Davide Galli, Francesco Lattari, Matteo Matteucci, Davide Zoni |
| 2024 | A Deep-Learning-Based Statistical Timing Prediction Method for Sub-16nm Technologies. Jiajie Xu, Leilei Jin, Wenjie Fu, Longxing Shi |
| 2024 | A FeFET-based Time-Domain Associative Memory for Multi-bit Similarity Computation. Qingrong Huang, Hamza Errahmouni Barkam, Zeyu Yang, Jianyi Yang, Thomas Kämpfe, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Mohsen Imani, Cheng Zhuo, Xunzhao Yin |
| 2024 | A Framework for Designing Scalable Gaussian Belief Propagation Accelerators for use in SLAM. Omar Sharif, Christos-Savvas Bouganis |
| 2024 | A Golden-Free Formal Method for Trojan Detection in Non-Interfering Accelerators. Anna Lena Duque Antón, Johannes Müller, Lucas Deutschmann, Mohammad Rahmani Fadiheh, Dominik Stoffel, Wolfgang Kunz |
| 2024 | A Graph-Learning-Driven Prediction Method for Combined Electromigration and Thermomigration Stress on Multi-Segment Interconnects. Yunfan Zuo, Yuyang Ye, Hongchao Zhang, Tinghuan Chen, Hao Yan, Longxing Shi |
| 2024 | A Hardware Accelerated Autoencoder for RF Communication Using Short-Time-Fourier- Transform Assisted Convolutional Neural Network. Kuchul Jung, Jongseok Woo, Saibal Mukhopadhyay |
| 2024 | A Hybrid Approach to Reverse Engineering on Combinational Circuits. Wuqian Tang, Yi-Ting Li, Kai-Po Hsu, Kuan-Ling Chou, You-Cheng Lin, Chia-Feng Chien, Tzu-Li Hsu, Yung-Chih Chen, Ting-Chi Wang, Shih-Chieh Chang, TingTing Hwang, Chun-Yao Wang |
| 2024 | A Mapping of Triangular Block Interleavers to DRAM for Optical Satellite Communication. Lukas Steiner, Timo Lehnigk-Emden, Markus Fehrenz, Norbert Wehn |
| 2024 | A Modular Branch Predictor Performance Analysis Framework for Fast Design Space Exploration. Ya Wang, Hanwei Fan, Sicheng Li, Tingyuan Liang, Wei Zhang |
| 2024 | A Multi-Bit Near-RRAM based Computing Macro with Highly Computing Parallelism for CNN Application. Kuan-Chih Lin, Hao Zuo, Hsiang-Yu Wang, Yuan-Ping Huang, Ci-Hao Wu, Yan-Cheng Guo, Shyh-Jye Jou, Tuo-Hung Hou, Tian-Sheuan Chang |
| 2024 | A Novel March Test Algorithm for Testing 8T SRAM-Based IMC Architectures. Lila Ammoura, Marie-Lise Flottes, Patrick Girard, Jean-Philippe Noel, Arnaud Virazel |
| 2024 | A Novel Multi-Objective Optimization Framework for Analog Circuit Customization. Mutian Zhu, Mohsen Hassanpourghadi, Qiaochu Zhang, Mike Shuo-Wei Chen, Anthony F. J. Levi, Sandeep Gupta |
| 2024 | A Parallel Tempering Processing Architecture with Multi-Spin Update for Fully-Connected Ising Models. Yang Zhang, Xiangrui Wang, Dong Jiang, Zhanhong Huang, Gaopeng Fan, Enyi Yao |
| 2024 | A RISC-V "V" VP: Unlocking Vector Processing for Evaluation at the System Level. Manfred Schlägl, Moritz Stockinger, Daniel Große |
| 2024 | A Read Latency Variation Aware Independent Read Scheme for QLC SSDs. Dong Huang, Dan Feng, Qiankun Liu, Bo Ding, Wei Zhao, Xueliang Wei, Wei Tong |
| 2024 | A Scalable Low-Latency FPGA Architecture for Spin Qubit Control Through Direct Digital Synthesis. Mathieu Toubeix, Eric Guthmuller, Adrian Evans, Tristan Meunier |
| 2024 | A Scalable RISC-V Hardware Platform for Intelligent Sensor Processing. Paul Palomero Bernardo, Patrick Schmid, Oliver Bringmann, Mohammed Iftekhar, Babak Sadiye, Wolfgang Müller, Andreas Koch, Eyck Jentzsch, Axel Sauer, Ingo Feldner, Wolfgang Ecker |
| 2024 | A Semi-Tensor Product based Circuit Simulation for SAT-sweeping. Hongyang Pan, Ruibing Zhang, Yinshui Xia, Lunyao Wang, Fan Yang, Xuan Zeng, Zhufei Chu |
| 2024 | A Sound and Complete Algorithm to Identify Independent Variables in a Reactive System Specification. Josu Oca, Montserrat Hermo, Alexander Bolotov |
| 2024 | A Stakeholder Analysis of Operational Design Domains of Automated Driving Systems. Marcel Aguirre Mehlhorn, Hauke Dierend, Andreas Richter, Yuri A. W. Shardt |
| 2024 | A Stochastic Rounding-Enabled Low-Precision Floating-Point MAC for DNN Training. Sami Ben Ali, Silviu-Ioan Filip, Olivier Sentieys |
| 2024 | A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach. Christian Pilato, Subhadeep Banik, Jakub Beránek, Fabien Brocheton, Jerónimo Castrillón, Riccardo Cevasco, Radim Cmar, Serena Curzel, Fabrizio Ferrandi, Karl F. A. Friebel, Antonella Galizia, Matteo Grasso, Paulo Silva, Jan Martinovic, Gianluca Palermo, Michele Paolino, Andrea Parodi, Antonio Parodi, Fabio Pintus, Raphael Polig, David Poulet, Francesco Regazzoni, Burkhard Ringlein, Roberto Rocco, Katerina Slaninová, Tom Slooff, Stephanie Soldavini, Felix Suchert, Mattia Tibaldi, Beat Weiss, Christoph Hagleitner |
| 2024 | A Transistor Level Relational Semantics for Electrical Rule Checking by SMT Solving. Oussama Oulkaid, Bruno Ferres, Matthieu Moy, Pascal Raymond, Mehdi Khosravian, Ludovic Henrio, Gabriel Radanne |
| 2024 | ADAssure: Debugging Methodology for Autonomous Driving Control Algorithms. Andrew Roberts, Mohammad Reza Heidari Iman, Mauro Bellone, Tara Ghasempouri, Jaan Raik, Olaf Maennel, Mohammad Hamad, Sebastian Steinhorst |
| 2024 | AFPR-CIM: An Analog-Domain Floating-Point RRAM -based Compute- In- Memory Architecture with Dynamic Range Adaptive FP-ADC. Haobo Liu, Zhengyang Qian, Wei Wu, Hongwei Ren, Zhiwei Liu, Leibin Ni |
| 2024 | AI Models for Edge Computing: Hardware-aware Optimizations for Efficiency. Hai Helen Li |
| 2024 | AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques. Giulia Elena Aliffi, Joao Baixinho, Dalibor Barri, Francesco Daghero, Nicola Di Carolo, Gabriele Faraone, Michelangelo Grosso, Daniele Jahier Pagliari, Jiri Jakovenko, Vladimír Janícek, Dario Licastro, Vazgen Melikyan, Matteo Risso, Vittorio Romano, Eugenio Serianni, Martin Stastný, Patrik Vacula, Giorgia Vitanza, Chen Xie |
| 2024 | ARCTIC: Agile and Robust Compute-In-Memory Compiler with Parameterized INT/FP Precision and Built-In Self Test. Hongyi Zhang, Haozhe Zhu, Siqi He, Mengjie Li, Chengchen Wang, Xiankui Xiong, Haidong Tian, Xiaoyang Zeng, Chixiao Chen |
| 2024 | ARTmine: Automatic Association Rule Mining with Temporal Behavior for Hardware Verification. Mohammad Reza Heidari Iman, Gert Jervan, Tara Ghasempouri |
| 2024 | ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer. Tong Xie, Yixuan Hu, Renjie Wei, Meng Li, Yuan Wang, Runsheng Wang, Ru Huang |
| 2024 | AXI-REALM: A Lightweight and Modular Interconnect Extension for Traffic Regulation and Monitoring of Heterogeneous Real-Time SoCs. Thomas Benz, Alessandro Ottaviano, Robert Balas, Angelo Garofalo, Francesco Restuccia, Alessandro Biondi, Luca Benini |
| 2024 | Accelerating Chaining in Genomic Analysis Using RISC- V Custom Instructions. Kisaru Liyanage, Hasindu Gamaarachchi, Hassaan Saadat, Tuo Li, Hiruna Samarakoon, Sri Parameswaran |
| 2024 | Accelerating DNNs Using Weight Clustering on RISC-V Custom Functional Units. Muhammad Sabih, Batuhan Sesli, Frank Hannig, Jürgen Teich |
| 2024 | Accelerating Machine Learning-Based Memristor Compact Modeling Using Sparse Gaussian Process. Yuta Shintani, Michiko Inoue, Michihiro Shintani |
| 2024 | Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics. Salma Afifi, Febin Sunny, Mahdi Nikdast, Sudeep Pasricha |
| 2024 | AdaP-CIM: Compute-in-Memory Based Neural Network Accelerator Using Adaptive Posit. Jingyu He, Fengbin Tu, Kwang-Ting Cheng, Chi-Ying Tsui |
| 2024 | Adaptive DRAM Cache Division for Computational Solid-state Drives. Shuaiwen Yu, Zhibing Sha, Chengyong Tang, Zhigang Cai, Peng Tang, Min Huang, Jun Li, Jianwei Liao |
| 2024 | Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones. Beatrice Alessandra Motetti, Luca Crupi, Mustafa Omer Mohammed Elamin Elshaigi, Matteo Risso, Daniele Jahier Pagliari, Daniele Palossi, Alessio Burrello |
| 2024 | Adaptive Localization for Autonomous Racing Vehicles with Resource-Constrained Embedded Platforms. Federico Gavioli, Gianluca Brilli, Paolo Burgio, Davide Bertozzi |
| 2024 | Adaptive ODE Solvers for Timed Data Flow Models in SystemC-AMS. Alexandra Küster, Rainer Dorsch, Christian Haubelt |
| 2024 | Adaptive Perception Control for Aerial Robots with Twin Delayed DDPG. Veera Venkata Ram Murali Krishna Rao Muvva, Kunjan Theodore Joseph, Kruttidipta Samal, Marilyn Wolf, Santosh Pitla |
| 2024 | Algorithm to Technology Co-Optimization for CiM-Based Hyperdimensional Computing. Mahta Mayahinia, Simon Thomann, Paul R. Genssler, Christopher Münch, Hussam Amrouch, Mehdi B. Tahoori |
| 2024 | Algorithm-Hardware Co-Design for Energy-Efficient A/D Conversion in ReRAM-Based Accelerators. Chenguang Zhang, Zhihang Yuan, Xingchen Li, Guangyu Sun |
| 2024 | Alleviating Barren Plateaus in Parameterized Quantum Machine Learning Circuits: Investigating Advanced Parameter Initialization Strategies. Muhammad Kashif, Muhammad Rashid, Saif Al-Kuwari, Muhammad Akmal Shafique |
| 2024 | Aloha-HE: A Low-Area Hardware Accelerator for Client-Side Operations in Homomorphic Encryption. Florian Krieger, Florian Hirner, Ahmet Can Mert, Sujoy Sinha Roy |
| 2024 | An AI-Enabled Framework for Smart Semiconductor Manufacturing. Khaled Sidahmed Sidahmed Alamin, Davide Appello, Alessandro Beghi, Nicola Dall'Ora, Fabio Depaoli, Santa Di Cataldo, Franco Fummi, Sebastiano Gaiardelli, Michele Lora, Enrico Macii, Alessio Mascolini, Daniele Pagano, Francesco Ponzio, Gian Antonio Susto, Sara Vinco |
| 2024 | An Adaptive UAV Scheduling Process to Address Dynamic Mobile Network Demand Efficiently. Ruide Cao, Jiao Ye, Jin Zhang, Qian You, Chao Tang, Yan Liu, Yi Wang |
| 2024 | An Agile Deploying Approach for Large-Scale Workloads on CGRA-CPU Architecture. Jiahang Lou, Xuchen Gao, Yiqing Mao, Yunhui Qiu, Yihan Hu, Wenbo Yin, Lingli Wang |
| 2024 | An Autonomic Resource Allocating SSD. Dongjoon Lee, Jongin Choe, Chanyoung Park, Kyungtae Kang, Mahmut T. Kandemir, Wonil Choi |
| 2024 | An Efficient Asynchronous Circuits Design Flow with Backward Delay Propagation Constraint. Lingfeng Zhou, Shanlin Xiao, Huiyao Wang, Jinghai Wang, Zeyang Xu, Bohan Wang, Zhiyi Yu |
| 2024 | An Efficient Hypergraph Partitioner under Inter - Block Interconnection Constraints. Benzheng Li, Hailong You, Shunyang Bi, Yuming Zhang |
| 2024 | An Efficient Logic Operation Scheduler for Minimizing Memory Footprint of In-Memory SIMD Computation. Xingyue Qian, Zhezhi He, Weikang Qian |
| 2024 | An Endeavor to Industrialize Hardware Fuzzing: Automating NoC Verification in UVM. Ruiyang Ma, Huatao Zhao, Jiayi Huang, Shijian Zhang, Guojie Luo |
| 2024 | An Isotropic Shift-Pointwise Network for Crossbar-Efficient Neural Network Design. Ziyi Guan, Boyu Li, Yuan Ren, Muqun Niu, Hantao Huang, Graziano Chesi, Hao Yu, Ngai Wong |
| 2024 | Analog Printed Spiking Neuromorphic Circuit. Priyanjana Pal, Haibin Zhao, Maha Shatta, Michael Hefenbrock, Sina Bakhtavari Mamaghani, Sani R. Nassif, Michael Beigl, Mehdi B. Tahoori |
| 2024 | Analog Transistor Placement Optimization Considering Nonlinear Spatial Variations. Supriyo Maji, Sungyoung Lee, David Z. Pan |
| 2024 | Approximation Algorithm for Noisy Quantum Circuit Simulation. Mingyu Huang, Ji Guan, Wang Fang, Mingsheng Ying |
| 2024 | AsymSAT: Accelerating SAT Solving with Asymmetric Graph-Based Model Prediction. Zhiyuan Yan, Min Li, Zhengyuan Shi, Wenjie Zhang, Yingcong Chen, Hongce Zhang |
| 2024 | AttBind: Memory-Efficient Acceleration for Long-Range Attention Using Vector-Derived Symbolic Binding. Weihong Xu, Jaeyoung Kang, Tajana Rosing |
| 2024 | Attention-Based EDA Tool Parameter Explorer: From Hybrid Parameters to Multi-QoR metrics. Donger Luo, Qi Sun, Qi Xu, Tinghuan Chen, Hao Geng |
| 2024 | Auto WS: Automate Weights Streaming in Layer-Wise Pipelined DNN Accelerators. Zhewen Yu, Christos-Savvas Bouganis |
| 2024 | Auto-tuning Multi-GPU High-Fidelity Numerical Simulations for Urban Air Mobility. Konstantina Koliogeorgi, George Anagnostopoulos, Gerardo Zampino, Marcial Sanchis, Ricardo Vinuesa, Sotirios Xydis |
| 2024 | Automated Hardware Security Countermeasure Integration Inside High Level Synthesis. Amalia-Artemis Koufopoulou, Athanasios Papadimitriou, Mihalis Psarakis, David Hély |
| 2024 | Automated Optimization of Deep Neural Networks: Dynamic Bit-Width and Layer-Width Selection via Cluster-Based Parzen Estimation. Seyedarmin Azizi, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram |
| 2024 | Automated Traffic Scenario Description Extraction Using Video Transformers. Aron Harder, Madhur Behl |
| 2024 | Automated Verifiability-Driven Design of Approximate Circuits: Exploiting Error Analysis. Zdenek Vasícek, Vojtech Mrazek, Lukás Sekanina |
| 2024 | Autonomous Realization of Safety- and Time-Critical Embedded Artificial Intelligence. Joakim Lindén, Andreas Ermedahl, Hans Salomonsson, Masoud Daneshtalab, Björn Forsberg, Paris Carbone |
| 2024 | BESWAC: Boosting Exact Synthesis via Wiser SAT Solver Call. Sunan Zou, Jiaxi Zhang, Bizhao Shi, Guojie Luo |
| 2024 | BORE: Energy-Efficient Banded Vector Similarity Search with Optimized Range Encoding for Memory-Augmented Neural Network. Chi-Tse Huang, Cheng-Yang Chang, Hsiang-Yun Cheng, An-Yeu Wu |
| 2024 | BOXGB: Design Parameter Optimization with Systematic Integration of Bayesian Optimization and XGBoost. Chanhee Jeon, Doyeon Won, Jaewan Yang, Kyu-Myung Choi, Taewhan Kim |
| 2024 | Back to the Future: Reversible Runtime Neural Network Pruning for Safe Autonomous Systems. Danny Abraham, Biswadip Maity, Bryan Donyanavard, Nikil D. Dutt |
| 2024 | Beyond Random Inputs: A Novel ML-Based Hardware Fuzzing. Mohamadreza Rostami, Marco Chilese, Shaza Zeitouni, Rahul Kande, Jeyavijayan Rajendran, Ahmad-Reza Sadeghi |
| 2024 | Bit-Trimmer: Ineffectual Bit-Operation Removal for CLM Architecture. Yintao He, Shixin Zhao, Songyun Qu, Huawei Li, Xiaowei Li, Ying Wang |
| 2024 | Bitstream Fault Injection Attacks on CRYSTALS Kyber Implementations on FPGAs. Ziying Ni, Ayesha Khalid, Weiqiang Liu, Máire O'Neill |
| 2024 | BlockAMC: Scalable In-Memory Analog Matrix Computing for Solving Linear Systems. Lunshuai Pan, Pushen Zuo, Yubiao Luo, Zhong Sun, Ru Huang |
| 2024 | BoolGebra: Attributed Graph-Learning for Boolean Algebraic Manipulation. Yingjie Li, Anthony Agnesina, Yanqing Zhang, Haoxing Ren, Cunxi Yu |
| 2024 | Breaking the Memory Wall with a Flexible Open-Source L1 Data-Cache. Davy Million, Noelia Oliete-Escuín, César Fuguet |
| 2024 | BusyMap, an Efficient Data Structure to Observe Interconnect Contention in SystemC TLM-2.0. Emad Malekzadeh Arasteh, Vivek Govindasamy, Rainer Dömer |
| 2024 | CALLOC: Curriculum Adversarial Learning for Secure and Robust Indoor Localization. Danish Gufran, Sudeep Pasricha |
| 2024 | CASCO: Cascaded Co-Optimization for Holistic Neural Network Acceleration. Bahador Rashidi, Shan Lu, Kiarash Aghakasiri, Chao Gao, Fred Xuefei Han, Zhisheng Wang, Laiyuan Gong, Fengyu Sun |
| 2024 | CBTune: Contextual Bandit Tuning for Logic Synthesis. Fangzhou Liu, Zehua Pei, Ziyang Yu, Haisheng Zheng, Zhuolun He, Tinghuan Chen, Bei Yu |
| 2024 | CLAST: Cross-Layer Approximate High-Level Synthesis with Configurable Approximate Three-Operand Adders. Jian Shi, Wenjing Zhang, Weikang Qian |
| 2024 | CLSA-CIM: A Cross-Layer Scheduling Approach for Computing-in-Memory Architectures. Rebecca Pelke, José Cubero-Cascante, Nils Bosbach, Felix Staudigl, Rainer Leupers, Jan Moritz Joseph |
| 2024 | COMET: A Cross-Layer Optimized Optical Phase-Change Main Memory Architecture. Febin Sunny, Amin Shafiee, Benoît Charbonnier, Mahdi Nikdast, Sudeep Pasricha |
| 2024 | CPF: A Cross-Layer Prefetching Framework for High-Density Flash-Based Storage. Longfei Luo, Han Wang, Dingcui Yu, Yina Lv, Liang Shi |
| 2024 | CRISP: Hybrid Structured Sparsity for Class-Aware Model Pruning. Shivam Aggarwal, Kuluhan Binici, Tulika Mitra |
| 2024 | CRONuS: Circuit Rapid Optimization with Neural Simulator. Youngmin Oh, Doyun Kim, Yoon Hyeok Lee, Bosun Hwang |
| 2024 | CTRL-B: Back-End-Of-Line Configuration Pathfinding Using Cross-Technology Transferable Reinforcement Learning. Sung-Yun Lee, Kyungjun Min, Seokhyeong Kang |
| 2024 | Cache Bandwidth Contention Leaks Secrets. Han Wang, Ming Tang, Ke Xu, Quancheng Wang |
| 2024 | CafeHD: A Charge-Domain FeFET-Based Compute-in-Memory Hyperdimensional Encoder with Hypervector Merging. Taixin Li, Hongtao Zhong, Juejian Wu, Thomas Kämpfe, Kai Ni, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li |
| 2024 | Can Machine Learn Pipeline Leakage? Omid Bazangani, Parisa Amiri-Eliasi, Stjepan Picek, Lejla Batina |
| 2024 | Certainty or Intelligence: Pick One! Edward A. Lee |
| 2024 | Challenges and Unexplored Frontiers in Electronic Design Automation for Superconducting Digital Logic. Sasan Razmkhah, Robert S. Aviles, Mingye Li, Sandeep Gupta, Peter A. Beerel, Massoud Pedram |
| 2024 | CiMComp: An Energy Efficient Compute-in-Memory Based Comparator for Convolutional Neural Networks. Kavitha S, Binsu J. Kailath, Bhupendra Singh Reniwal |
| 2024 | Circuits Physics Constrained Predictor of Static IR Drop with Limited Data. Yuan Meng, Ruiyu Lyu, Zhaori Bi, Changhao Yan, Fan Yang, Wenchuang Hu, Dian Zhou, Xuan Zeng |
| 2024 | Circumventing Restrictions in Commercial High-Level Synthesis Tools. Benjamin Carrion Schafer, Chaitali G. Sathe |
| 2024 | Class-Aware Pruning for Efficient Neural Networks. Mengnan Jiang, Jingcun Wang, Amro Eldebiky, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Grace Li Zhang |
| 2024 | ClassONN: Classification with Oscillatory Neural Networks Using the Kuramoto Model. Filip Sabo, Aida Todri-Sanial |
| 2024 | Cognitive Sensing for Energy-Efficient Edge Intelligence. Minah Lee, Sudarshan Sharma, Wei Chun Wang, Hemant Kumawat, Nael Mizanur Rahman, Saibal Mukhopadhyay |
| 2024 | Combining Formal Verification and Testing for Debugging of Arithmetic Circuits. Jiteshri Dasari, Maciej J. Ciesielski |
| 2024 | Communication-Efficient Model Parallelism for Distributed In-Situ Transformer Inference. Yuanxin Wei, Shengyuan Ye, Jiazhi Jiang, Xu Chen, Dan Huang, Jiangsu Du, Yutong Lu |
| 2024 | Compact Powers-of-Two: An Efficient Non-Uniform Quantization for Deep Neural Networks. Xinkuang Geng, Siting Liu, Jianfei Jiang, Kai Jiang, Honglan Jiang |
| 2024 | Complete and Efficient Verification for a RISC-V Processor Using Formal Verification. Lennart Weingarten, Kamalika Datta, Abhoy Kole, Rolf Drechsler |
| 2024 | Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks. Chuangtao Chen, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li |
| 2024 | Constraint-Aware Resource Management for Cyber-Physical Systems. Justin McGowen, Ismet Dagli, Neil T. Dantam, Mehmet E. Belviranli |
| 2024 | Context-aware Multi-Model Object Detection for Diversely Heterogeneous Compute Systems. Justin Davis, Mehmet E. Belviranli |
| 2024 | Corporate Governance and Management of AI-Driven Product Development: Vehicle Automation. William H. Widen, Marilyn Claire Wolf |
| 2024 | Cuper: Customized Dataflow and Perceptual Decoding for Sparse Matrix-Vector Multiplication on HBM-Equipped FPGAs. Enxin Yi, Yiru Duan, Yinuo Bai, Kang Zhao, Zhou Jin, Weifeng Liu |
| 2024 | CycPUF: Cyclic Physical Unclonable Function. Michael Dominguez, Amin Rezaei |
| 2024 | DACO: Pursuing Ultra-low Power Consumption via DNN-Adaptive CPU-GPU CO-optimization on Mobile Devices. Yushu Wu, Chao Wu, Geng Yuan, Yanyu Li, Weichao Guo, Jing Rao, Xipeng Shen, Bin Ren, Yanzhi Wang |
| 2024 | DAISM: Digital Approximate In-SRAM Multiplier-Based Accelerator for DNN Training and Inference. Lorenzo Sonnino, Shaswot Shresthamali, Yuan He, Masaaki Kondo |
| 2024 | DIAC: Design Exploration of Intermittent-Aware Computing Realizing Batteryless Systems. Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi |
| 2024 | DIAPASON: Differentiable Allocation, Partitioning and Fusion of Neural Networks for Distributed Inference. Federico Nicolás Peccia, Alexander Viehl, Oliver Bringmann |
| 2024 | DNA-Based Similar Image Retrieval via Triplet Network-Driven Encoder. Takefumi Koike, Hiromitsu Awano, Takashi Sato |
| 2024 | DRAM-Locker: A General-Purpose DRAM Protection Mechanism Against Adversarial DNN Weight Attacks. Ranyang Zhou, Sabbir Ahmed, Arman Roohi, Adnan Siraj Rakin, Shaahin Angizi |
| 2024 | Data Center Demand Response for Sustainable Computing: Myth or Opportunity? Ayse K. Coskun, Fatih Acun, Quentin Clark, Can Hankendi, Daniel C. Wilson |
| 2024 | Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads. Harsh Sharma, Gaurav Narang, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande |
| 2024 | Decentralized Federated Learning in Partially Connected Networks with Non-IID Data. Xiaojun Cai, Nanxiang Yu, Mengying Zhao, Mei Cao, Tingting Zhang, Jianbo Lu |
| 2024 | Decoupled Access-Execute Enabled DVFS for TinyML Deployments on STM32 Microcontrollers. Elisavet Lydia Alvanaki, Manolis Katsaragakis, Dimosthenis Masouros, Sotirios Xydis, Dimitrios Soudris |
| 2024 | Deductive Formal Verification of Synthesizable, Transaction-Level Hardware Designs Using Coq. Tobias Strauch |
| 2024 | Deep Quasi-Periodic Priors: Signal Separation in Wearable Systems with Limited Data. Mahya Saffarpour, Kourosh Vali, Weitai Qian, Begum Kasap, Diana L. Farmer, Aijun Wang, Soheil Ghiasi |
| 2024 | DeepFrack: A Comprehensive Framework for Layer Fusion, Face Tiling, and Efficient Mapping in DNN Hardware Accelerators. Tom Glint, Mithil Pechimuthu, Joycee Mekie |
| 2024 | DeepSeq: Deep Sequential Circuit Learning. Sadaf Khan, Zhengyuan Shi, Min Li, Qiang Xu |
| 2024 | Demonstrating Post-Quantum Remote Attestation for RISC-V Devices. Maximilian Barger, Marco Brohet, Francesco Regazzoni |
| 2024 | Depth-Optimal Addressing of 2D Qubit Array with 1D Controls Based on Exact Binary Matrix Factorization. Daniel Bochen Tan, Shuohao Ping, Jason Cong |
| 2024 | Derailed: Arbitrarily Controlling DNN Outputs with Targeted Fault Injection Attacks. Jhon Ordoñez, Chengmo Yang |
| 2024 | Design Automation for Cyber-Physical Production Systems: Lessons Learned from the DeFacto Project. Michele Lora, Sebastiano Gaiardelli, Chanwook Oh, Stefano Spellini, Pierluigi Nuzzo, Franco Fummi |
| 2024 | Design Automation for Organs-on-Chip. Maria Emmerich, Philipp Ebner, Robert Wille |
| 2024 | Design Automation for Quantum Computing: Intermediate Stage Report of the ERC Consolidator Grant "DAQC". Robert Wille |
| 2024 | Design, Automation & Test in Europe Conference & Exhibition, DATE 2024, Valencia, Spain, March 25-27, 2024 |
| 2024 | Designing an Energy-Efficient Fully-Asynchronous Deep Learning Convolution Engine. Mattia Vezzoli, Lukas Nel, Kshitij Bhardwaj, Rajit Manohar, Maya B. Gokhale |
| 2024 | Detecting Backdoor Attacks in Black-Box Neural Networks through Hardware Performance Counters. Manaar Alam, Yue Wang, Michail Maniatakos |
| 2024 | Device-Aware Diagnosis for Yield Learning in RRAMs. Hanzhi Xun, Moritz Fieback, Sicong Yuan, Hassen Aziza, Mottaqiallah Taouil, Said Hamdioui |
| 2024 | DiMO-Sparse: Differentiable Modeling and Optimization of Sparse CNN Dataflow and Hardware Architecture. Jianfeng Song, Rongjian Liang, Yu Gong, Bo Yuan, Jiang Hu |
| 2024 | Discovering Efficient Fused Layer Configurations for Executing Multi-Workloads on Multi-Core NPUs. Younghyun Lee, Hyejun Kim, Yongseung Yu, Myeongjin Cho, Jiwon Seo, Yongjun Park |
| 2024 | Driving Autonomy with Event-Based Cameras: Algorithm and Hardware Perspectives. Nael Mizanur Rahman, Uday Kamal, Manish Nagaraj, Shaunak Roy, Saibal Mukhopadhyay |
| 2024 | DropHD: Technology/Algorithm Co-Design for Reliable Energy-Efficient NVM-Based Hyper-Dimensional Computing Under Voltage Scaling. Paul R. Genssler, Mahta Mayahinia, Simon Thomann, Mehdi B. Tahoori, Hussam Amrouch |
| 2024 | DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator. Tongxin Xie, Tianchen Zhao, Zhenhua Zhu, Xuefei Ning, Bing Li, Guohao Dai, Huazhong Yang, Yu Wang |
| 2024 | Dynamic Per-Flow Queues for TSN Switches. Wenxue Wu, Zhen Li, Tong Zhang, Xiaoqin Feng, Liwei Zhang, Xuelong Qi, Fengyuan Ren |
| 2024 | Dynamic Realization of Multiple Control Toffoli Gate. Abhoy Kole, Arighna Deb, Kamalika Datta, Rolf Drechsler |
| 2024 | Dynamic Reconfigurable Security Cells Based on Emerging Devices Integrable in FDSOI Technology. Niladri Bhattacharjee, Viktor Havel, Suruchi Kumari, Nima Kavand, Jorge Navarro Quijada, Akash Kumar, Thomas Mikolajick, Jens Trommer |
| 2024 | ECM: Improving IoT Throughput with Energy-Aware Connection Management. Fatemeh Ghasemi, Lukas Liedtke, Magnus Jahre |
| 2024 | EMAClave: An Efficient Memory Authentication for RISCV Enclaves. Omais Pandith, Rafail Psiakis, Johanna Toivanen |
| 2024 | EMDRIVE Architecture: Embedded Distributed Computing and Diagnostics from Sensor to Edge. Patrick Schmidt, Iuliia Topko, Matthias Stammler, Tanja Harbaum, Jürgen Becker, Rico Berner, Omar Ahmed, Jakub Jagielski, Thomas Seidler, Markus Abel, Marius Kreutzer, Maximilian Kirschner, Victor Pazmino Betancourt, Robin Sehm, Lukas Groth, Andrija Neskovic, Rolf Meyer, Saleh Mulhem, Mladen Berekovic, Matthias Probst, Manuel Brosch, Georg Sigl, Thomas Wild, Matthias Ernst, Andreas Herkersdorf, Florian Aigner, Stefan Hommes, Sebastian Lauer, Maximilian Seidler, Thomas Raste, Gasper Skvarc Bozic, Ibai Irigoyen Ceberio, Muhammad Hassan, Albrecht Mayer |
| 2024 | ESC-NTT: An Elastic, Seamless and Compact Architecture for Multi-Parameter NTT Acceleration. Zhenyu Guan, Yongqing Zhu, Yicheng Huang, Luchang Lei, Xueyan Wang, Hongyang Jia, Yi Chen, Bo Zhang, Jin Dong, Song Bian |
| 2024 | EcoFlex-HDP: High-Speed and Low-Power and Programmable Hyperdimensional-Computing Platform with CPU Co-Processing. Yuya Isaka, Nau Sakaguchi, Michiko Inoue, Michihiro Shintani |
| 2024 | Efficient Design of a Hyperdimensional Processing Unit for Multi-Layer Cognition. Mohamed Ibrahim, Youbin Kim, Jan M. Rabaey |
| 2024 | Efficient Exploration of Cyber-Physical System Architectures Using Contracts and Subgraph Isomorphism. Yifeng Xiao, Chanwook Oh, Michele Lora, Pierluigi Nuzzo |
| 2024 | Efficient Fast Additive Homomorphic Encryption Cryptoprocessor for Privacy-Preserving Federated Learning Aggregation. Wenye Liu, Nazim Altar Koca, Chip-Hong Chang |
| 2024 | Efficient Spectral-Aware Power Supply Noise Analysis for Low-Power Design Verification. Yinuo Bai, Xiaoyu Yang, Yicheng Lu, Dan Niu, Cheng Zhuo, Zhou Jin, Weifeng Liu |
| 2024 | Electrostatics-Based Analytical Global Placement for Timing Optimization. Zhifeng Lin, Min Wei, Yilu Chen, Peng Zou, Jianli Chen, Yao-Wen Chang |
| 2024 | Embedding Hardware Approximations in Discrete Genetic-Based Training for Printed MLPs. Florentia Afentaki, Michael Hefenbrock, Georgios Zervakis, Mehdi B. Tahoori |
| 2024 | End-to-End Latency Optimization of Thread Chains Under the DDS Publish/Subscribe Middleware. Gerlando Sciangula, Daniel Casini, Alessandro Biondi, Claudio Scordino |
| 2024 | Enhancing Reliability of Neural Networks at the Edge: Inverted Normalization with Stochastic Affine Transformations. Soyed Tuhin Ahmed, Kamal Danouchi, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori |
| 2024 | Enhancing Side-Channel Attacks Through X-Ray-Induced Leakage Amplification. Nasr-Eddine Ouldei Tebina, Luc Salvo, Laurent Maingault, Nacer-Eddine Zergainoh, Guillaume Hubert, Paolo Maistri |
| 2024 | Environmental Microchanges in WiFi Sensing. Cristian Turetta, Philipp H. Kindt, Alejandro Masrur, Samarjit Chakraborty, Graziano Pravadelli, Florenc Demrozi |
| 2024 | Evaluating an Open-Source Hardware Approach from HDL to GDS for a Security Chip Design - a Review of the Final Stage of Project HEP. Tim Henkes, Steffen Reith, Marc Stöttinger, Norbert Herfurth, Goran Panic, Julian Wälde, Fabian Buschkowski, Pascal Sasdrich, Christoph Lüth, Milan Funck, Tuba Kiyan, Arnd Weber, Detlef Boeck, René Rathfelder, Torsten Grawunder |
| 2024 | EvilCS: An Evaluation of Information Leakage through Context Switching on Security Enclaves. Aruna Jayasena, Richard Bachmann, Prabhat Mishra |
| 2024 | Extending SSD Lifetime via Balancing Layer Endurance in 3D NAND Flash Memory. Siyi Huang, Yajuan Du, Yi Fan, Cheng Ji |
| 2024 | FARe: Fault-Aware GNN Training on ReRAM-Based PIM Accelerators. Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Ananth Kalyanaraman, Partha Pratim Pande |
| 2024 | FLInt: Exploiting Floating Point Enabled Integer Arithmetic for Efficient Random Forest Inference. Christian Hakert, Kuan-Hsun Chen, Jian-Jia Chen |
| 2024 | FMTT: Fused Multi-Head Transformer with Tensor-Compression for 3D Point Clouds Detection on Edge Devices. Zikun Wei, Tingting Wang, Chenchen Ding, Bohan Wang, Ziyi Guan, Hantao Huang, Hao Yu |
| 2024 | FVLLMONTI: The 3D Neural Network Compute Cube $(N^{2}C^{2})$ Concept for Efficient Transformer Architectures Towards Speech-to-Speech Translation. Ian O'Connor, Sara Mannaa, Alberto Bosio, Bastien Deveautour, Damien Deleruyelle, Tetiana Obukhova, Cédric Marchand, Jens Trommer, Çigdem Çakirlar, Bruno Neckel Wesling, Thomas Mikolajick, Oskar Baumgartner, Mischa Thesberg, David Pirker, Christoph Lenz, Zlatan Stanojevic, Markus Karner, Guilhem Larrieu, Sylvain Pelloquin, Konstantinous Moustakas, Jonas Müller, Giovanni Ansaloni, Alireza Amirshahi, David Atienza, Jean-Luc Rouas, Leila Ben Letaifa, Georgeta Bordeall, Charles Brazier, Chhandak Mukherjee, Marina Deng, Yifan Wang, Marc François, Houssem Rezgui, Reveil Lucas, Cristell Maneux |
| 2024 | Fast Estimation for Electromigration Nucleation Time Based on Random Activation Energy Model. Jingyu Jia, Jianwang Zhai, Kang Zhao |
| 2024 | Fast IR-Drop Prediction of Analog Circuits Using Recurrent Synchronized GCN and Y-Net Model. Seunggyu Lee, Daijoon Hyun, Younggwang Jung, Gangmin Cho, Youngsoo Shin |
| 2024 | Fast Parameter Optimization of Delayed Feedback Reservoir with Backpropagation and Gradient Descent. Sosei Ikeda, Hiromitsu Awano, Takashi Sato |
| 2024 | Fault- Tolerant Cyclic Queuing and Forwarding in Time-Sensitive Networking. Liwei Zhang, Tong Zhang, Wenxue Wu, Xiaoqin Feng, Guoxi Lin, Fengyuan Ren |
| 2024 | FeReX: A Reconfigurable Design of Multi-Bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search. Zhicheng Xu, Che-Kai Liu, Chao Li, Ruibin Mao, Jianyi Yang, Thomas Kämpfe, Mohsen Imani, Can Li, Cheng Zhuo, Xunzhao Yin |
| 2024 | Fine-Tuning Surrogate Gradient Learning for Optimal Hardware Performance in Spiking Neural Networks. Ilkin Aliyev, Tosiron Adegbija |
| 2024 | FlexForge: Efficient Reconfigurable Cloud Acceleration via Peripheral Resource Disaggregation. Se-Min Lim, Sang-Woo Jun |
| 2024 | Fluid Dynamic DNNs for Reliable and Adaptive Distributed Inference on Edge Devices. Lei Xun, Mingyu Hu, Hengrui Zhao, Amit Kumar Singh, Jonathon S. Hare, Geoff V. Merrett |
| 2024 | Formal Methods for High Integrity GPU Software Development and Verification. Dimitris Aspetakis, Leonidas Kosmidis, Matina Maria Trompouki, Jose Ruiz, Gábor Marosy |
| 2024 | Formal Verification of Booth Radix-8 and Radix-16 Multipliers. Mertcan Temel |
| 2024 | Formal Verification of Secure Boot Process. Sriram Vasudevan, Prasanna Ravi, Arpan Jati, Shivam Bhasin, Anupam Chattopadhyay |
| 2024 | From Designing Quantum Processors to Large-Scale Quantum Computing Systems. Carmen G. Almudéver, Robert Wille, Fabio Sebastiano, Nadia Haider, Eduard Alarcón |
| 2024 | From Master Equation to SPICE: A Platform to Model Cryo-CMOS Control for Qubits. Vladimir Pesic, Andrew Wright, Edoardo Charbon |
| 2024 | Frontiers in Edge AI with RISC-V: Hyperdimensional Computing vs. Quantized Neural Networks. Paul R. Genssler, Sandy A. Wasif, Miran Wael, Rodion Novkin, Hussam Amrouch |
| 2024 | Full-Stack Optimization for CAM-Only DNN Inference. João Paulo C. de Lima, Asif Ali Khan, Luigi Carro, Jerónimo Castrillón |
| 2024 | FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks. Xueyuan Liu, Zhuoran Song, Guohao Dai, Gang Li, Can Xiao, Yan Xiang, Dehui Kong, Ke Xu, Xiaoyao Liang |
| 2024 | GPACE: An Energy-Efficient PQ-Based GCN Accelerator with Redundancy Reduction. Yibo Du, Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li, Yinhe Han |
| 2024 | Gradient Boosting-Accelerated Evolution for Multiple-Fault Diagnosis. Hongfei Wang, Chenliang Luo, Deqing Zou, Hai Jin, Wenjie Cai |
| 2024 | Guided Fault Injection Strategy for Rapid Critical Bit Detection in Radiation-Prone SRAM-FPGA. Trishna Rajkumar, Johnny Öberg |
| 2024 | H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations. Zishen Wan, Che-Kai Liu, Mohamed Ibrahim, Hanchen Yang, Samuel Spetalnick, Tushar Krishna, Arijit Raychowdhury |
| 2024 | HDCircuit: Brain-Inspired HyperDimensional Computing for Circuit Recognition. Paul R. Genssler, Lilas Alrahis, Ozgur Sinanoglu, Hussam Amrouch |
| 2024 | HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari |
| 2024 | HaLo-FL: Hardware-Aware Low-Precision Federated Learning. Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda |
| 2024 | Hardware-Assisted Control-Flow Integrity Enhancement for IoT Devices. Weiyi Wang, Lang Feng, Zhiguo Shi, Cheng Zhuo, Jiming Chen |
| 2024 | Harnessing ML Privacy by Design Through Crossbar Array Non-Idealities. Md. Shohidul Islam, Sankha Baran Dutta, Andres Marquez, Ihsen Alouani, Khaled N. Khasawneh |
| 2024 | Heterogeneous Static Timing Analysis with Advanced Delay Calculator. Zizheng Guo, Tsung-Wei Huang, Zhou Jin, Cheng Zhuo, Yibo Lin, Runsheng Wang, Ru Huang |
| 2024 | Hidden Cost of Circuit Design with RFETs. Sajjad Parvin, Chandan Kumar Jha, Frank Sill Torres, Rolf Drechsler |
| 2024 | Hierarchical Source-to-Post-Route QoR Prediction in High-Level Synthesis with GNNs. Mingzhe Gao, Jieru Zhao, Zhe Lin, Minyi Guo |
| 2024 | High Throughput Hardware Accelerated CoreSight Trace Decoding. Matthew Edwin Weingarten, Nora Hossle, Timothy Roscoe |
| 2024 | High-Efficiency FPGA - Based Approximate Multipliers with LUT Sharing and Carry Switching. Yi Guo, Qilin Zhou, Xiu Chen, Heming Sun |
| 2024 | High-Performance Data Mapping for BNNs on PCM-Based Integrated Photonics. Taha Shahroodi, Raphael Cardoso, Stephan Wong, Alberto Bosio, Ian O'Connor, Said Hamdioui |
| 2024 | High-Performance Feature Extraction for GPU -Accelerated ORB-SLAMx. Filippo Muzzini, Nicola Capodieci, Roberto Cavicchioli, Benjamin Rouxel |
| 2024 | HyQA: Hybrid Near-Data Processing Platform for Embedding Based Question Answering System. Shengwen Liang, Ziming Yuan, Ying Wang, Dawen Xu, Huawei Li, Xiaowei Li |
| 2024 | HygHD: Hyperdimensional Hypergraph Learning. Jaeyoung Kang, Youhak Lee, Minxuan Zhou, Weihong Xu, Tajana Rosing |
| 2024 | I Jimin Lee, Sangwoo Park, Junho Huh, Sanghyo Jeong, Inhwan Kim, Jae Min Kim |
| 2024 | IMCE: An In-Memory Computing and Encrypting Hardware Architecture for Robust Edge Security. Hanyong Shao, Boyi Fu, Jinghao Yang, Wenpu Luo, Chang Su, Zhiyuan Fu, Kechao Tang, Ru Huang |
| 2024 | IOMMU Deferred Invalidation Vulnerability: Exploit and Defense. Chathura Rajapaksha, Leila Delshadtehrani, Richard Muri, Manuel Egele, Ajay Joshi |
| 2024 | ISPT-Net: A Noval Transient Backward-Stepping Reduction Policy by Irregular Sequential Prediction Transformer. Yichao Dong, Dan Niu, Zhou Jin, Chuan Zhang, Changyin Sun, Zhenya Zhou |
| 2024 | Improvement of Mixed Track - Height Standard-Cell Placement. Andrew B. Kahng, Seokhyeong Kang, Minhyuk Kweon |
| 2024 | In-Field Detection of Small Delay Defects and Runtime Degradation Using On-Chip Sensors. Seyedeh Maryam Ghasemi, Sergej Meschkov, Jonas Krautter, Dennis R. E. Gnad, Mehdi B. Tahoori |
| 2024 | IndexMAC: A Custom RISC-V Vector Instruction to Accelerate Structured-Sparse Matrix Multiplications. Vasileios Titopoulos, Kosmas Alexandridis, Christodoulos Peltekis, Chrysostomos Nicopoulos, Giorgos Dimitrakopoulos |
| 2024 | Intelligent Hybrid Memory Scheduling Based on Page Pattern Recognition. Yanjie Zhen, Weining Chen, Wei Gao, Ju Ren, Kang Chen, Yu Chen |
| 2024 | IoT-GRAF: IoT Graph Learning-Based Anomaly and Intrusion Detection Through Multi-Modal Data Fusion. Rozhin Yasaei, Yasamin Moghaddas, Mohammad Abdullah Al Faruque |
| 2024 | JPlace: A Clock-Aware Length-Matching Placement for Rapid Single-Flux-Quantum Circuits. Siyan Chen, Rongliang Fu, JunYing Huang, Zhimin Zhang, Xiaochun Ye, Tsung-Yi Ho, Dongrui Fan |
| 2024 | KIHT: Kaligo-Based Intelligent Handwriting Teacher. Tanja Harbaum, Alexey Serdyuk, Fabian Kreß, Tim Hamann, Jens Barth, Peter Kämpf, Florent Imbert, Yann Soullard, Romain Tavenard, Éric Anquetil, Jessica Delahaie |
| 2024 | KRATT: QBF-Assisted Removal and Structural Analysis Attack Against Logic Locking. Levent Aksoy, Muhammad Yasin, Samuel Pagliarini |
| 2024 | LESS: Low-Power Energy-Efficient Subgraph Isomorphism on FPGA. Roberto Bosio, Giovanni Brignone, Filippo Minnella, M. Usman Jamal, Luciano Lavagno |
| 2024 | LLM-Based Processor Verification: A Case Study for Neuronnorphic Processor. Chao Xiao, Yifei Deng, Zhijie Yang, Renzhi Chen, Hong Wang, Jingyue Zhao, Huadong Dai, Lei Wang, Yuhua Tang, Weixia Xu |
| 2024 | LLM-Guided Formal Verification Coupled with Mutation Testing. Muhammad Hassan, Sallar Ahmadi-Pour, Khushboo Qayyum, Chandan Kumar Jha, Rolf Drechsler |
| 2024 | LRSCwait: Enabling Scalable and Efficient Synchronization in Manycore Systems Through Polling-Free and Retry-Free Operation. Samuel Riedel, Marc Gantenbein, Alessandro Ottaviano, Torsten Hoefler, Luca Benini |
| 2024 | LaVA: An Effective Layer Variation Aware Bad Block Management for 3D CT NAND Flash. Shuhan Bai, You Zhou, Fei Wu, Changsheng Xie, Tei-Wei Kuo, Chun Jason Xue |
| 2024 | Late Breaking Results: Iterative Design Automation for Train Control with Hybrid Train Detection. Stefan Engels, Robert Wille |
| 2024 | Late Breaking Results: Scan-Chain Optimization with Constrained Single Linkage Clustering and Geometry-Based Cluster Balancing. George Antony, Gireesh Kumar K. M, Naiju Karim Abdul, Rahul M. Rao |
| 2024 | Late Breaking Results: Single Flux Quantum Based Brownian Circuits for Ultra-Law-Power Computing. Satoshi Kawakami, Yusuke Ohtusbo, Koji Inoue, Masamitsu Tanaka |
| 2024 | Learning Assisted Post-Manufacture Testing and Tuning of RRAM-Based DNNs for Yield Recovery. Kwondo Ma, Anurup Saha, Chandramouli N. Amarnath, Abhijit Chatterjee |
| 2024 | Learning Circuit Placement Techniques Through Reinforcement Learning with Adaptive Rewards. Luke Vassallo, Josef Bajada |
| 2024 | Learning to Floorplan like Human Experts via Reinforcement Learning. Binjie Yan, Lin Xu, Zefang Yu, Mingye Xie, Wei Ran, Jingsheng Gao, Yuzhuo Fu, Ting Liu |
| 2024 | Lightweight Instrumentation for Accurate Performance Monitoring in RTOSes. Bruno Endres Forlin, Kuan-Hsun Chen, Nikolaos Alachiotis, Luca Cassano, Marco Ottavi |
| 2024 | Lightweight and Predictable Memory Virtualization on Medium-Size Microcontrollers. Stefano Mercogliano, Daniele Ottaviano, Alessandro Cilardo, Marcello Cinque |
| 2024 | LoADM: Load-Aware Directory Migration Policy in Distributed File Systems. Yuanzhang Wang, Peng Zhang, Fengkui Yang, Ke Zhou, Chunhua Li |
| 2024 | Low Power and Temperature- Resilient Compute-In-Memory Based on Subthreshold-FeFET. Yifei Zhou, Xuchu Huang, Jianyi Yang, Kai Ni, Hussam Amrouch, Cheng Zhuo, Xunzhao Yin |
| 2024 | MABFuzz: Multi-Armed Bandit Algorithms for Fuzzing Processors. Vasudev Gohil, Rahul Kande, Chen Chen, Ahmad-Reza Sadeghi, Jeyavijayan Rajendran |
| 2024 | MACO: Exploring GEMM Acceleration on a Loosely-Coupled Multi-Core Processor. Bingcai Sui, Junzhong Shen, Caixia Sun, Junhui Wang, Zhong Zheng, Wei Guo |
| 2024 | MATADOR: Automated System-on-Chip Tsetlin Machine Design Generation for Edge Applications. Tousif Rahman, Gang Mao, Sidharth Maheshwari, Rishad A. Shafik, Alex Yakovlev |
| 2024 | MATAR: Multi-Quantization-Aware Training for Accurate and Fast Hardware Retargeting. Pierpaolo Morì, Moritz Thoma, Lukas Frickenstein, Shambhavi Balamuthu Sampath, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele, Daniel Mueller-Gritschneder, Claudio Passerone |
| 2024 | MNT Bench: Benchmarking Software and Layout Libraries for Field-Coupled Nanocomputing. Simon Toni Hofmann, Marcel Walter, Robert Wille |
| 2024 | MSH: A Multi-Stage HiZ-Aware Homotopy Framework for Nonlinear DC Analysis. Zhou Jin, Tian Feng, Xiao Wu, Dan Niu, Zhenya Zhou, Cheng Zhuo |
| 2024 | MX: Enhancing RISC-V's Vector ISA for Ultra-Low Overhead, Energy-Efficient Matrix Multiplication. Matteo Perotti, Yichao Zhang, Matheus A. Cavalcante, Enis Mustafa, Luca Benini |
| 2024 | Memory Scraping Attack on Xilinx FPGAs: Private Data Extraction from Terminated Processes. Bharadwaj Madabhushi, Sandip Kundu, Daniel E. Holcomb |
| 2024 | MicroNAS: Zero-Shot Neural Architecture Search for MCUs. Ye Qiao, Haocheng Xu, Yifan Zhang, Sitao Huang |
| 2024 | Microprocessor Design Space Exploration via Space Partitioning and Bayesian Optimization. Zijun Jiang, Yangdi Lyu |
| 2024 | Miracle: Multi-Action Reinforcement Learning-Based Chip Floorplanning Reasoner. Bo Yang, Qi Xu, Hao Geng, Song Chen, Yi Kang |
| 2024 | Model-Driven Feature Engineering for Data-Driven Battery SOH Model. Khaled Alamin, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Sara Vinco, Massimo Poncino |
| 2024 | Modeling Attack Tests and Security Enhancement of the Sub-Threshold Voltage Divider Array PUF. Shengjie Zhou, Yongliang Chen, Xiaole Cui, Yun Liu |
| 2024 | Motivating the Use of Machine-Learning for Improving Timing Behaviour of Embedded Mixed-Criticality Systems. Vikash Kumar, Behnaz Ranjbar, Akash Kumar |
| 2024 | Multi-Agent Reinforcement Learning for Thermally-Restricted Performance Optimization on Manycores. Heba Khdr, Mustafa Enes Batur, Kanran Zhou, Mohammed Bakr Sikal, Jörg Henkel |
| 2024 | Multi-Level Analysis of GPU Utilization in ML Training Workloads. Paul Delestrac, Debjyoti Bhattacharjee, Simei Yang, Diksha Moolchandani, Francky Catthoor, Lionel Torres, David Novo |
| 2024 | MultimodalHD: Federated Learning Over Heterogeneous Sensor Modalities using Hyperdimensional Computing. Quanling Zhao, Xiaofan Yu, Shengfan Hu, Tajana Rosing |
| 2024 | NOVA: NoC-based Vector Unit for Mapping Attention Layers on a CNN Accelerator. Mohit Upadhyay, Rohan Juneja, Weng-Fai Wong, Li-Shiuan Peh |
| 2024 | Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi |
| 2024 | Near-Memory Parallel Indexing and Coalescing: Enabling Highly Efficient Indirect Access for SpMV. Chi Zhang, Paul Scheffler, Thomas Benz, Matteo Perotti, Luca Benini |
| 2024 | NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI. Soyed Tuhin Ahmed, Kamal Danouchi, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori |
| 2024 | OC-DLRM: Minimizing the I/O Traffic of DLRM Between Main Memory and OCSSD. Shang-Hung Ti, Tseng-Yi Chen, Tsung Tai Yeh, Shuo-Han Chen, Yu-Pei Liang |
| 2024 | OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. Mehrdad Morsali, Sepehr Tabrizchi, Deniz Najafi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Shaahin Angizi |
| 2024 | ONE-SA: Enabling Nonlinear Operations in Systolic Arrays For Efficient and Flexible Neural Network Inference. Ruiqi Sun, Yinchen Ni, Xin He, Jie Zhao, An Zou |
| 2024 | OTFGEncoder - HDC: Hardware-efficient Encoding Techniques for Hyperdimensional Computing. Mahboobe Sadeghipour Roodsari, Jonas Krautter, Mehdi B. Tahoori |
| 2024 | ObfusGate: Representation Learning-Based Gatekeeper for Hardware-Level Obfuscated Malware Detection. Zhangying He, Chelsea William Fernandes, Hossein Sayadi |
| 2024 | On Gate Flip Errors in Computing-In-Memory. Zamshed I. Chowdhury, Hüsrev Cilasun, Salonik Resch, Masoud Zabihi, Yang Lv, Brandon Zink, Jian-Ping Wang, Sachin S. Sapatnekar, Ulya R. Karpuzcu |
| 2024 | On-FPGA Spiking Neural Networks for Integrated Near-Sensor ECG Analysis. Matteo Antonio Scrugli, Paola Busia, Gianluca Leone, Paolo Meloni |
| 2024 | On-Sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design. Giorgos Armeniakos, Paula L. Duarte, Priyanjana Pal, Georgios Zervakis, Mehdi B. Tahoori, Dimitrios Soudris |
| 2024 | OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation. Ruidi Qiu, Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li |
| 2024 | Optimal Fixed Priority Scheduling in Multi-Stage Multi-Resource Distributed Real-Time Systems. Niraj Kumar, Chuanchao Gao, Arvind Easwaran |
| 2024 | Optimizing Ciphertext Management for Faster Fully Homomorphic Encryption Computation. Eduardo Chielle, Oleg Mazonka, Michail Maniatakos |
| 2024 | Optimizing Imperfectly-Nested Loop Mapping on CGRAs via Polyhedral-Guided Flattening. Xingyu Mo, Yawen Li, Dajiang Liu |
| 2024 | Optimizing Offload Performance in Heterogeneous MPSoCs. Luca Colagrande, Luca Benini |
| 2024 | Orchestration-Aware Optimization of ROS2 Communication Protocols. Mirco De Marchi, Nicola Bombieri |
| 2024 | Out-of-Distribution Detection Using Power-Side Channels for Improving Functional Safety of Neural Network FPGA Accelerators. Vincent Meyers, Dennis Gnad, Mehdi Baradaran Tahoori |
| 2024 | PA-2SBF: Pattern-Adaptive Two-Stage Bloom Filter for Run-Time Memory Diagnostic Data Compression in Automotive SoCs. SunYoung Park, Hyunji Kim, Hana Kim, Ji-Hoon Kim |
| 2024 | PACE: A Piece-Wise Approximate and Configurable Floating - Point Divider for Energy - Efficient Computing. Chenyi Wen, Haonan Du, Zhengrui Chen, Li Zhang, Qi Sun, Cheng Zhuo |
| 2024 | PELS: A Lightweight and Flexible Peripheral Event Linking System for Ultra-Low Power IoT Processors. Alessandro Ottaviano, Robert Balas, Philippe Sauter, Manuel Eggimann, Luca Benini |
| 2024 | PIMLC: Logic Compiler for Bit-Serial Based PIM. Chenyu Tang, Chen Nie, Weikang Qian, Zhezhi He |
| 2024 | PIMSIM-NN: An ISA-based Simulation Framework for Processing-in-Memory Accelerators. Xinyu Wang, Xiaotian Sun, Yinhe Han, Xiaoming Chen |
| 2024 | PIMSYN: Synthesizing Processing-in-Memory CNN Accelerators. Wanqian Li, Xiaotian Sun, Xinyu Wang, Lei Wang, Yinhe Han, Xiaoming Chen |
| 2024 | PP-HDC: A Privacy-Preserving Inference Framework for Hyperdimensional Computing. Ruixuan Wang, Wengying Wen, Kyle Juretus, Xun Jiao |
| 2024 | PURSE: Property Ordering Using Runtime Statistics for Efficient Multi - Property Verification. Sourav Das, Aritra Hazra, Pallab Dasgupta, Sudipta Kundu, Himanshu Jain |
| 2024 | PaLM: Point Cloud and Large Pre-trained Model Catch Mixed-type Wafer Defect Pattern Recognition. Hongquan He, Guowen Kuang, Qi Sun, Hao Geng |
| 2024 | Para-ZNS: Improving Small-Zone ZNS SSDs Parallelism Through Dynamic Zone Mapping. Zhenhua Tan, Linbo Long, Jingcheng Shen, Congming Gao, Renping Liu, Yi Jiang |
| 2024 | Parallel Gröbner Basis Rewriting and Memory Optimization for Efficient Multiplier Verification. Hongduo Liu, Peiyu Liao, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu |
| 2024 | Parallel Multi-Objective Bayesian Optimization Framework for CGRA Microarchitecture. Bing Li, Wendi Sun, Xiaobing Ni, Kaixuan He, Qi Xu, Song Chen, Yi Kang |
| 2024 | PathDriver-Wash: A Path-Driven Wash Optimization Method for Continuous-Flow Lab-on-a-Chip Systems. Xing Huang, Jiaxuan Wang, Zhiwen Yu, Bin Guo, Tsung-Yi Ho, Ulf Schlichtmann, Krishnendu Chakrabarty |
| 2024 | Performance Analysis and Optimizations of Matrix Multiplications on ARMv8 Processors. Hucheng Liu, Shaohuai Shi, Xuan Wang, Zoe L. Jiang, Qian Chen |
| 2024 | PhotonNTT: Energy-Efficient Parallel Photonic Number Theoretic Transform Accelerator. Xianbin Li, Jiaqi Liu, Yuying Zhang, Yinyi Liu, Jiaxu Zhang, Chengeng Li, Shixi Chen, Yuxiang Fu, Fengshi Tian, Wei Zhang, Jiang Xu |
| 2024 | Pipeline Design of Nonvolatile-based Computing in Memory for Convolutional Neural Networks Inference Accelerators. Lixia Han, Peng Huang, Zheng Zhou, Yiyang Chen, Haozhang Yang, Xiaoyan Liu, Jinfeng Kang |
| 2024 | Pipette: Automatic Fine-Grained Large Language Model Training Configurator for Real-World Clusters. Jinkyu Yim, Jaeyong Song, Yerim Choi, Jaebeen Lee, Jaewon Jung, Hongsun Jang, Jinho Lee |
| 2024 | Polynomial Formal Verification of Sequential Circuits. Caroline Dominik, Rolf Drechsler |
| 2024 | Prime+Reset: Introducing A Novel Cross-World Covert-Channel Through Comprehensive Security Analysis on ARM TrustZone. Yun Chen, Arash Pashrashid, Yongzheng Wu, Trevor E. Carlson |
| 2024 | Programmable EM Sensor Array for Golden-Model Free Run-Time Trojan Detection and Localization. Hanqiu Wang, Max Panoff, Zihao Zhan, Shuo Wang, Christophe Bobda, Domenic Forte |
| 2024 | Quantum State Preparation Using an Exact CNOT Synthesis Formulation. Hanyu Wang, Jason Cong, Giovanni De Micheli |
| 2024 | REDCAP: Reconfigurable RFET-Based Circuits Against Power Side-Channel Attacks. Nima Kavand, Armin Darjani, Giulio Galderisi, Jens Trommer, Thomas Mikolajick, Akash Kumar |
| 2024 | RL-TPG: Automated Pre-Silicon Security Verification through Reinforcement Learning-Based Test Pattern Generation. Nurun Nahar Mondol, Arash Vafaei, Kimia Zamiri Azar, Farimah Farahmandi, Mark Tehranipoor |
| 2024 | RLPlanner: Reinforcement Learning Based Floorplanning for Chiplets with Fast Thermal Analysis. Yuanyuan Duan, Xingchen Liu, Zhiping Yu, Hanming Wu, Leilai Shao, Xiaolei Zhu |
| 2024 | ROLDEF: RObust Layered DEFense for Intrusion Detection Against Adversarial Attacks. Onat Güngör, Tajana Rosing, Baris Aksanli |
| 2024 | RTSA: An RRAM-TCAM based In-Memory-Search Accelerator for Sub-100 µs Collision Detection. Jiahao Sun, Fangxin Liu, Yijian Zhang, Li Jiang, Rui Yang |
| 2024 | RVCE-FAL: A RISC-V Scalar-Vector Custom Extension for Faster FALCON Digital Signature. Xinglong Yu, Yi Sun, Yifan Zhao, Honglin Kuang, Jun Han |
| 2024 | Range-Based Run-time Requirement Enforcement of Non-Functional Properties on MPSoCs. Khalil Esper, Stefan Wildermann, Jürgen Teich |
| 2024 | ReTAP: Processing-in-ReRAM Bitap Approximate String Matching Accelerator for Genomic Analysis. Tsung-Yu Liu, Yen-An Lu, James Yu, Chin-Fu Nien, Hsiang-Yun Cheng |
| 2024 | Real-Time Multi-Person Identification and Tracking via HPE and IMU Data Fusion. Mirco De Marchi, Cristian Turetta, Graziano Pravadelli, Nicola Bombieri |
| 2024 | Reconfigurable Frequency Multipliers Based on Complementary Ferroelectric Transistors. Haotian Xu, Jianyi Yang, Cheng Zhuo, Thomas Kämpfe, Kai Ni, Xunzhao Yin |
| 2024 | Reinforcement Learning-Based Optimization of Back-Side Power Delivery Networks in VLSI Design for IR -Drop Reduction. Seungmin Woo, Hyunsoo Lee, Yunjeong Shin, Minseok Han, Yunjeong Go, Jongbeom Kim, Hyundong Lee, Hyunwoo Kim, Taigon Song |
| 2024 | Reliable Interval Prediction of Minimum Operating Voltage Based on On-Chip Monitors via Conformalized Quantile Regression. Yuxuan Yin, Xiaoxiao Wang, Rebecca Chen, Chen He, Peng Li |
| 2024 | Resilience of Deep Learning Applications: Where We are and Where We Want to Go. Cristiana Bolchini, Alberto Bosio |
| 2024 | Resource-Efficient Heterogenous Federated Continual Learning on Edge. Zhao Yang, Shengbing Zhang, Chuxi Li, Haoyang Wang, Meng Zhang |
| 2024 | Responsible Artificial Intelligence Systems: From Trustworthiness to Governance. Framcisco Herrera |
| 2024 | Robustness Evaluation of Localization Techniques for Autonomous Racing. Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno |
| 2024 | S-LGCN: Software-Hardware Co-Design for Accelerating LightGCN. Shun Li, Ruiqi Chen, Enhao Tang, Yajing Liu, Jing Yang, Kun Wang |
| 2024 | SAGERoute 2.0: Hierarchical Analog and Mixed Signal Routing Considering Versatile Routing Scenarios. Haoyi Zhang, Xiaohan Gao, Zilong Shen, Jiahao Song, Xiaoxu Cheng, Xiyuan Tang, Yibo Lin, Runsheng Wang, Ru Huang |
| 2024 | SCGen: A Versatile Generator Framework for Agile Design of Stochastic Circuits. Zexi Li, Haoran Jin, Kuncai Zhong, Guojie Luo, Runsheng Wang, Weikang Qian |
| 2024 | SEA: Sign-Separated Accumulation Scheme for Resource-Efficient DNN Accelerators. Jing Gong, Hassaan Saadat, Haris Javaid, Hasindu Gamaarachchi, David Taubman, Sri Parameswaran |
| 2024 | SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness. Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt |
| 2024 | SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space. Francesco Regazzoni, Gergely Ács, Albert Zoltan Aszalos, Christos Avgerinos, Nikolaos Bakalos, Josep Lluis Berral, Joppe W. Bos, Marco Brohet, Andrés G. Castillo Sanz, Gareth T. Davies, Stefanos Florescu, Pierre-Elisée Flory, Alberto Gutierrez-Torre, Evangelos Haleplidis, Alice Héliou, Sotirios Ioannidis, Alexander Islam El-Kady, Katarzyna Kapusta, Konstantina Karagianni, Pieter Kruizinga, Kyrian Maat, Zoltán Ádám Mann, Kalliopi Mastoraki, SeoJeong Moon, Maja Nisevic, Balázs Pejó, Kostas Papagiannopoulos, Vassilis Paliouras, Paolo Palmieri, Francesca Palumbo, Juan Carlos Pérez Baun, Péter Pollner, Eduard Porta-Pardo, Luca Pulina, Muhammad Ali Siddiqi, Daniela Spajic, Christos Strydis, Georgios Tasopoulos, Vincent Thouvenot, Christos Tselios, Apostolos P. Fournaris |
| 2024 | SELCC: Enhancing MLC Reliability and Endurance with Single-Cell Error Correction Codes. Yujin Lim, Dongwhee Kim, Jungrae Kim |
| 2024 | SGPRS: Seamless GPU Partitioning Real-Time Scheduler for Periodic Deep Learning Workloads. Amir Fakhim Babaei, Thidapat Chantem |
| 2024 | STAR: Sum-Together/Apart Reconfigurable Multipliers for Precision-Scalable ML Workloads. Edward Manca, Luca Urbinati, Mario R. Casu |
| 2024 | Sava: A Spatial- and Value-Aware Accelerator for Point Cloud Transformer. Xueyuan Liu, Zhuoran Song, Xiang Liao, Xing Li, Tao Yang, Fangxin Liu, Xiaoyao Liang |
| 2024 | Scalable Logic Rewriting Using Don't Cares. Alessandro Tempia Calvino, Giovanni De Micheli |
| 2024 | Scalable Sequential Optimization Under Observability Don't Cares. Dewmini Sudara Marakkalage, Eleonora Testa, Walter Lau Neto, Alan Mishchenko, Giovanni De Micheli, Luca G. Amarù |
| 2024 | ScanCamouflage: Obfuscating Scan Chains with Camouflaged Sequential and Logic Gates. Tarik Ibrahimpasic, Grace Li Zhang, Michaela Brunner, Georg Sigl, Bing Li, Ulf Schlichtmann |
| 2024 | Search-in-Memory (SiM): Conducting Data-Bound Computations on Flash Chip for Enhanced Efficiency. Yun-Chih Chen, Yuan-Hao Chang, Tei-Wei Kuo |
| 2024 | Securing ISW Masking Scheme Against Glitches. Sofiane Takarabt, Javad Bahrami, Mohammad Ebrahimabadi, Sylvain Guilley, Naghmeh Karimi |
| 2024 | Security Layers and Related Services within the Horizon Europe NEUROPULS Project. Fabio Pavanello, Cédric Marchand, Paul Jiménez, Xavier Letartre, Ricardo Chaves, Niccolò Marastoni, Alberto Lovato, Mariano Ceccato, George Papadimitriou, Vasileios Karakostas, Dimitris Gizopoulos, Roberta Bardini, Tzamn Melendez Carmona, Stefano Di Carlo, Alessandro Savino, Laurence Lerch, Ulrich Rührmair, Sergio Vinagrero Gutierrez, Giorgio Di Natale, Elena-Ioana Vatajelu |
| 2024 | Self-Learning and Transfer Across Topologies of Constraints for Analog / Mixed-Signal Circuit Layout Synthesis. Kaichang Chen, Georges G. E. Gielen |
| 2024 | Selfie5: An Autonomous, Self-Contained Verification Approach for High-Throughput Random Testing of Programmable Processors. Yehuda Kra, Naama Kra, Adam Teman |
| 2024 | SenseDSE: Sensitivity-Based Performance Evaluation for Design Space Exploration of Microarchitecture. Zheng Wu, Xiaoling Yi, Li Shang, Fan Yang |
| 2024 | Shared Cache Analysis Under Preemptive Scheduling. Thilo Leon Fischer, Heiko Falk |
| 2024 | Shared Data Kills Real-Time Cache Analysis. How to Resurrect It? Safin Bayes, Mohamed Hossam, Mohamed Hassan |
| 2024 | Smoothing Disruption Across the Stack: Tales of Memory, Heterogeneity, & Compilers. Michael T. Niemier, Zephan M. Enciso, M. Sharifi, Xiaobo Sharon Hu, Ian O'Connor, A. Graening, R. Sharma, P. Gupta, Jerónimo Castrillón, João Paulo C. de Lima, Asif Ali Khan, Hamid Farzaneh, N. Afroze, Asif Khan, Julien Ryckaert |
| 2024 | Sparrow: Flexible Memory Deduplication in Android Systems with Similar-Page Awareness. Guangyu Wei, Changlong Li, Rui Xu, Qingfeng Zhuge, Edwin H.-M. Sha |
| 2024 | SpecHD: Hyperdimensional Computing Framework for FPGA-Based Mass Spectrometry Clustering. Sumukh Pinge, Weihong Xu, Jaeyoung Kang, Tianqi Zhang, Niema Moshiri, Wout Bittremieux, Tajana Rosing |
| 2024 | SpecScope: Automating Discovery of Exploitable Spectre Gadgets on Black-Box Microarchitectures. Najmeh Nazari, Behnam Omidi, Chongzhou Fang, Hosein Mohammadi Makrani, Setareh Rafatirad, Avesta Sasan, Houman Homayoun, Khaled N. Khasawneh |
| 2024 | Standard Cell Layout Generator Amenable to Design Technology Co-Optimization in Advanced Process Nodes. Handong Cho, Hyunbae Seo, Sehyeon Chung, Kyu-Myung Choi, Taewhan Kim |
| 2024 | Standard Cells Do Matter: Uncovering Hidden Connections for High-Quality Macro Placement. Xiaotian Zhao, Tianju Wang, Run Jiao, Xinfei Guo |
| 2024 | Statistical Profiling of Micro-Architectural Traces and Machine Learning for Spectre Detection: A Systematic Evaluation. Mai Al-Zu'bi, Georg Weissenbacher |
| 2024 | Subgraph Extraction-Based Feedback-Guided Iterative Scheduling for HLS. Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen, Xiaoqing Xu |
| 2024 | SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum- Flux - Parametron Superconducting Circuits. Yanyue Xie, Peiyan Dong, Geng Yuan, Zhengang Li, Masoud Zabihi, Chao Wu, Sung-En Chang, Xufeng Zhang, Xue Lin, Caiwen Ding, Nobuyuki Yoshikawa, Olivia Chen, Yanzhi Wang |
| 2024 | Synthesizing Hardware-Software Leakage Contracts for RISC-V Open-Source Processors. Gideon Mohr, Marco Guarnieri, Jan Reineke |
| 2024 | TSA-TICER: A Two-Stage TICER Acceleration Framework for Model Order Reduction. Pengju Chen, Dan Niu, Zhou Jin, Changyin Sun, Qi Li, Hao Yan |
| 2024 | TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda |
| 2024 | Technology-Aware Logic Synthesis for Superconducting Electronics. Rassul Bairamkulov, Siang-Yun Lee, Alessandro Tempia Calvino, Dewmini Sudara Marakkalage, Mingfei Yu, Giovanni De Micheli |
| 2024 | Testing Algorithms for Hard to Detect Thermal Crosstalk Induced Write Disturb Faults in Phase Change Memories. Spyridon Spyridonos, Yiorgos Tsiatouhas |
| 2024 | The METASAT Model-Based Engineering Workflow and Digital Twin Concept. Alejandro J. Calderón, Irune Yarza, Stefano Sinisi, Lorenzo Lazzara, Valerio Di Valerio, Giulia Stazi, Leonidas Kosmidis, Matina Maria Trompouki, Alessandro Ulisse, Aitor Amonarriz, Peio Onaindia |
| 2024 | Three Sidekicks to Support Spectre Countermeasures. Markus Krausz, Jan Philipp Thoma, Florian Stolz, Marc Fyrbiak, Tim Güneysu |
| 2024 | Tiny- VBF: Resource-Efficient Vision Transformer based Lightweight Beamformer for Ultrasound Single-Angle Plane Wave Imaging. T. P. Abdul Rahoof, Vivek Chaturvedi, Mahesh Raveendranatha Panicker, Muhammad Shafique |
| 2024 | TitanCFI: Toward Enforcing Control-Flow Integrity in the Root -of- Trust. Emanuele Parisi, Alberto Musa, Simone Manoni, Maicol Ciani, Davide Rossi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva |
| 2024 | Towards Atomic Defect-Aware Physical Design of Silicon Dangling Bond Logic on the H -Si $(100)-2\times 1$ Surface. Marcel Walter, Jeremiah Croshaw, Samuel Sze Hang Ng, Konrad Walus, Robert A. Wolkow, Robert Wille |
| 2024 | Towards Cycle-based Shuttling for Trapped-Ion Quantum Computers (Extended Abstract). Daniel Schönberger, Stefan Hillmich, Matthias Brandl, Robert Wille |
| 2024 | Towards Efficient Reconfiguration through Lightweight Input Inversion for MLC NVFPGAs. Huichuan Zheng, Mengying Zhao, Hao Zhang, Yuqing Xiong, Xiaojun Cai, Zhiping Jia |
| 2024 | Towards Forward-Only Learning for Hyperdimensional Computing. Hyunsei Lee, Hyukjun Kwon, Jiseung Kim, Seohyun Kim, Mohsen Imani, Yeseong Kim |
| 2024 | Towards High-Throughput Neural Network Inference with Computational BRAM on Nonvolatile FPGAs. Hao Zhang, Mengying Zhao, Huichuan Zheng, Yuqing Xiong, Yuhao Zhang, Zhaoyan Shen |
| 2024 | Towards Reliable and Energy-Efficient RRAM Based Discrete Fourier Transform Accelerator. Jianan Wen, Andrea Baroni, Eduardo Pérez, Max Uhlmann, Markus Fritscher, Karthik KrishneGowda, Markus Ulbricht, Christian Wenger, Milos Krstic |
| 2024 | Towards SEU Fault Propagation Prediction with Spatio-Temporal Graph Convolutional Networks. Li Lu, Junchao Chen, Markus Ulbricht, Milos Krstic |
| 2024 | Towards Scalable GPU System with Silicon Photonic Chiplet. Chengeng Li, Fan Jiang, Shixi Chen, Xianbin Li, Jiaqi Liu, Wei Zhang, Jiang Xu |
| 2024 | Towards an Embedded System for Failure Diagnosis in Drones Using AI and SAC-DM on FPGA. Rafael Batista, Matthias Nickel, Alexander Lehnert, Sergio A. Pertuz, Marc Reichenbach, Diana Goehringer, Alisson Brito |
| 2024 | Trace-Enabled Timing Model Synthesis for ROS2-based Autonomous Applications. Hazem Abaza, Debayan Roy, Shiqing Fan, Selma Saidi, Antonios Motakis |
| 2024 | Training Better CNN Models for 3-D Capacitance Extraction with Neural Architecture Search. Haoyuan Li, Dingcheng Yang, Wenjian Yu |
| 2024 | Trans-Net: Knowledge-Transferring Analog Circuit Optimizer with a Netlist-Based Circuit Representation. Ho-jin Lee, Kyeong-Jun Lee, Youngchang Choi, Kyongsu Lee, Seokhyeong Kang, Jae-Yoon Sim |
| 2024 | TreeGRNG: Binary Tree Gaussian Random Number Generator for Efficient Probabilistic AI Hardware. Jonas Crols, Guilherme Paim, Shirui Zhao, Marian Verhelst |
| 2024 | TroScan: Enhancing On-Chip Delivery Resilience to Physical Attack Through Frequency-Triggered Key Generation. Jianfeng Wang, Shuwen Deng, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li |
| 2024 | UNCOVER: Data-Driven Design Support through Continuous Monitoring of Security Incidents. Matthias Stammler, Julian Lorenz, Eric Sax, Jürgen Becker, Matthias Hamann, Patrick Bidinger, Andreas Dewald, Paraskevi Georgouti, Alexios Camarinopoulos, Günter Becker, Klaus Finsterbusch, Maximilian Kirschner, Laurenz Adolph, Carl Philipp Hohl, Maria Rill, Daniel Vonderau, Victor Pazmino Betancourt |
| 2024 | Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning. Rahul Vishwakarma, Amin Rezaei |
| 2024 | Unearthing the Potential of Spiking Neural Networks. Sayeed Shafayet Chowdhury, Adarsh Kumar Kosta, Deepika Sharma, Marco Paul E. Apolinario, Kaushik Roy |
| 2024 | Unleashing the Power of T1-Cells in SFQ Arithmetic Circuits. Rassul Bairamkulov, Mingfei Yu, Giovanni De Micheli |
| 2024 | Unveiling the Black-Box: Leveraging Explainable AI for FPGA Design Space Optimization. Jaemin Seo, Sejin Park, Seokhyeong Kang |
| 2024 | Using Formal Verification Methods for Optimization of Circuits Under External Constraints. Daniel Große, Lucas Klemmer, Dominik Bonora |
| 2024 | VACSEM: Verifying Average Errors in Approximate Circuits Using Simulation-Enhanced Model Counting. Chang Meng, Hanyu Wang, Yuqi Mai, Weikang Qian, Giovanni De Micheli |
| 2024 | Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers. Wei Tao, Shenglin He, Kai Lu, Xiaoyang Qu, Guokuan Li, Jiguang Wan, Jianzong Wang, Jing Xiao |
| 2024 | VeriBug: An Attention-Based Framework for Bug Localization in Hardware Designs. Giuseppe Stracquadanio, Sourav Medya, Stefano Quer, Debjit Pal |
| 2024 | ViT- ToGo: Vision Transformer Accelerator with Grouped Token Pruning. Seungju Lee, Kyumin Cho, Eunji Kwon, Sejin Park, Seojeong Kim, Seokhyeong Kang |
| 2024 | ViTA: A Highly Efficient Dataflow and Architecture for Vision Transformers. Chunyun Chen, Lantian Li, Mohamed M. Sabry Aly |
| 2024 | WideSA: A High Array Utilization Mapping Scheme for Uniform Recurrences on ACAP. Tuo Dai, Bizhao Shi, Guojie Luo |
| 2024 | Work in Progress: Linear Transformers for TinyML. Moritz Scherer, Cristian Cioflan, Michele Magno, Luca Benini |
| 2024 | X-PIM: Fast Modeling and Validation Framework for Mixed-Signal Processing-in-Memory Using Compressed Equivalent Model in System Verilog. Ingu Jeong, Jun-Eun Park |
| 2024 | XANDAR: An X-by-Construction Framework for Safety, Security, and Real-Time Behavior of Embedded Software Systems. Tobias Dörr, Florian Schade, Jürgen Becker, Georgios Keramidas, Nikos Petrellis, Vasilios I. Kelefouras, Michail Mavropoulos, Konstantinos Antonopoulos, Christos P. Antonopoulos, Nikolaos S. Voros, Alexander Ahlbrecht, Wanja Zaeske, Vincent Janson, Phillip Nöldeke, Umut Durak, Christos Panagiotou, Dimitris Karadimas, Nico Adler, Clemens Reichmann, Andreas Sailer, Raphael Weber, Thomas Wilhelm, Wolfgang Gabler, Katrin Weiden, Xavier Anzuela Recasens, Sakir Sezer, Fahad Siddiqui, Rafiullah Khan, Kieran McLaughlin, Sena Yengec Tasdemir, Balmukund Sonigara, Henry Hui, Esther Soriano Viguer, Aridane Álvarez Suárez, Vicente Nicolau Gallego, Manuel Muñoz Alcobendas, Miguel Masmano Tello |
| 2024 | XiNet-pose: Extremely Lightweight Pose Detection for Microcontrollers. Alberto Ancilotto, Francesco Paissan, Elisabetta Farella |
| 2024 | Zero-Shot Classification Using Hyperdimensional Computing. Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi |
| 2024 | sLET for Distributed Aerospace Landing System. Damien Chabrol, Guillaume Phavorin, Eric Jenn |
| 2024 | tSS-BO: Scalable Bayesian Optimization for Analog Circuit Sizing via Truncated Subspace Sampling. Tianchen Gu, Jiaqi Wang, Zhaori Bi, Changhao Yan, Fan Yang, Yajie Qin, Tao Cui, Xuan Zeng |
| 2024 | uHD: Unary Processing for Lightweight and Dynamic Hyperdimensional Computing. Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi |