| 2022 | 2022 Design, Automation & Test in Europe Conference & Exhibition, DATE 2022, Antwerp, Belgium, March 14-23, 2022 Cristiana Bolchini, Ingrid Verbauwhede, Elena-Ioana Vatajelu |
| 2022 | A Charge Flow Formulation for Guiding Analog/Mixed-Signal Placement. Tonmoy Dhar, Ramprasath S, Jitesh Poojary, Soner Yaldiz, Steven M. Burns, Ramesh Harjani, Sachin S. Sapatnekar |
| 2022 | A Compaction Method for STLs for GPU in-field test. Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda |
| 2022 | A Composable Design Space Exploration Framework to Optimize Behavioral Locking. Luca Collini, Ramesh Karri, Christian Pilato |
| 2022 | A Comprehensive Solution for Securing Connected and Autonomous Vehicles. Mohsin Kamal, Christos Kyrkou, Nikos Piperigkos, Andreas Papandreou, Andreas Kloukiniotis, Jordi Casademont, Natlia Porras Mateu, Daniel Baos Castillo, Rodrigo Diaz Rodriguez, Nicola Gregorio Durante, Peter Hofmann, Petros Kapsalas, Aris S. Lalos, Konstantinos Moustakas, Christos Laoudias, Theocharis Theocharides, Georgios Ellinas |
| 2022 | A Cross-Platform Cache Timing Attack Framework via Deep Learning. Ruyi Ding, Ziyue Zhang, Xiang Zhang, Cheng Gongye, Yunsi Fei, Aidong Adam Ding |
| 2022 | A Cryo-CMOS Transmon Qubit Controller and Verification with FPGA Emulation. Kevin Tien, Ken Inoue, Scott Lekuch, David J. Frank, Sudipto Chakraborty, Pat Rosno, Thomas Fox, Mark Yeck, Joseph A. Glick, Raphael Robertazzi, Ray Richetta, John F. Bulzacchelli, Daniel Ramirez, Dereje Yilma, Andrew Davies, Rajiv V. Joshi, Devin Underwood, Dorothy Wisnieff, Christian W. Baks, Donald Bethune, John Timmerwilke, Blake R. Johnson, Brian P. Gaucher, Daniel J. Friedman |
| 2022 | A Deep-Learning Approach to Side-Channel Based CPU Disassembly at Design Time. Hedi Fendri, Marco Macchetti, Jérôme Perrine, Mirjana Stojilovic |
| 2022 | A Flash-based Current-mode IC to Realize Quantized Neural Networks. Kyler R. Scott, Cheng-Yen Lee, Sunil P. Khatri, Sarma B. K. Vrudhula |
| 2022 | A Generative AI for Heterogeneous Network-on-Chip Design Space Pruning. Maxime Mirka, Maxime France-Pillois, Gilles Sassatelli, Abdoulaye Gamatié |
| 2022 | A Low-Cost Methodology for EM Fault Emulation on FPGA. Paolo Maistri, Jiayun Po |
| 2022 | A Middleware Journey from Microcontrollers to Microprocessors. Michael Pöhnl, Alban Tamisier, Tobias Blass |
| 2022 | A Novel Neuromorphic Processors Realization of Spiking Deep Reinforcement Learning for Portfolio Management. Seyyed Amirhossein Saeidi, Forouzan Fallah, Soroush Barmaki, Hamed Farbeh |
| 2022 | A Pluggable Vector Unit for RISC-V Vector Extension. Vincenzo Maisto, Alessandro Cilardo |
| 2022 | A Precision-Scalable Energy-Efficient Bit-Split-and-Combination Vector Systolic Accelerator for NAS-Optimized DNNs on Edge. Kai Li, Junzhuo Zhou, Yuhang Wang, Junyi Luo, Zhengke Yang, Shuxin Yang, Wei Mao, Mingqiang Huang, Hao Yu |
| 2022 | A RDMA Interface for Ultra-Fast Ultrasound Data-Streaming over an Optical Link. Andrea Cossettini, Konstantin Taranov, Christian Vogt, Michele Magno, Torsten Hoefler, Luca Benini |
| 2022 | A Reliability Concern on Photonic Neural Networks. Yinyi Liu, Jiaxu Zhang, Jun Feng, Shixi Chen, Jiang Xu |
| 2022 | A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding. Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo |
| 2022 | A Simple Hybrid Model for Accurate Delay Modeling of a Multi-Input Gate. Arman Ferdowsi, Jürgen Maier, Daniel Öhlinger, Ulrich Schmid |
| 2022 | A Software Architecture to Control Service-Oriented Manufacturing Systems. Sebastiano Gaiardelli, Stefano Spellini, Marco Panato, Michele Lora, Franco Fummi |
| 2022 | A Systematic Removal of Minimum Implant Area Violations under Timing Constraint. Eunsol Jeong, Heechun Park, Taewhan Kim |
| 2022 | A Target-Separable BWN Inspired Speech Recognition Processor with Low-power Precision-adaptive Approximate Computing. Bo Liu, Hao Cai, Xuan Zhang, Haige Wu, Anfeng Xue, Zilong Zhang, Zhen Wang, Jun Yang |
| 2022 | A Uniform Latency Model for DNN Accelerators with Diverse Architectures and Dataflows. Linyan Mei, Huichu Liu, Tony F. Wu, Huseyin Ekin Sumbul, Marian Verhelst, Edith Beigné |
| 2022 | ADD-based Spectral Analysis of Probing Security. Maria Chiara Molteni, Vittorio Zaccaria, Valentina Ciriani |
| 2022 | AGAPE: Anomaly Detection with Generative Adversarial Network for Improved Performance, Energy, and Security in Manycore Systems. Ke Wang, Hao Zheng, Yuan Li, Jiajun Li, Ahmed Louri |
| 2022 | AID: Accuracy Improvement of Analog Discharge-Based in-SRAM Multiplication Accelerator. Saeed Seyedfaraji, Baset Mesgari, Semeen Rehman |
| 2022 | AIME: Watermarking AI Models by Leveraging Errors. Dhwani Mehta, Nurun N. Mondol, Farimah Farahmandi, Mark Tehranipoor |
| 2022 | AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems. Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt |
| 2022 | APUF Faults: Impact, Testing, and Diagnosis. Yeqi Wei, Tim Fox, Vincent Dumoulin, Wenjing Rao, Natasha Devroye |
| 2022 | Accelerate Hardware Logging for Efficient Crash Consistency in Persistent Memory. Zhiyuan Lu, Jianhui Yue, Yifu Deng, Yifeng Zhu |
| 2022 | Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU. Ling Liang, Zhaodong Chen, Lei Deng, Fengbin Tu, Guoqi Li, Yuan Xie |
| 2022 | Accurate Probabilistic Miss Ratio Curve Approximation for Adaptive Cache Allocation in Block Storage Systems. Rongshang Li, Yingtian Tang, Qiquan Shi, Hui Mao, Lei Chen, Jikun Jin, Peng Lu, Zhuo Cheng |
| 2022 | Achieving Crash Consistency by Employing Persistent L1 Cache. Akshay Krishna Ramanathan, Sara Mahdizadeh-Shahri, Yi Xiao, Vijaykrishnan Narayanan |
| 2022 | Active Learning of Abstract System Models from Traces using Model Checking. Natasha Yogananda Jeppu, Tom Melham, Daniel Kroening |
| 2022 | AdaFlow: A Framework for Adaptive Dataflow CNN Acceleration on FPGAs. Guilherme Korol, Michael Guilherme Jordan, Mateus Beck Rutzig, Antonio Carlos Schneider Beck |
| 2022 | Adaptive Droplet Routing for MEDA Biochips via Deep Reinforcement Learning. Mahmoud Elfar, Tung-Che Liang, Krishnendu Chakrabarty, Miroslav Pajic |
| 2022 | Adding Dual Variables to Algebraic Reasoning for Gate-Level Multiplier Verification. Daniela Kaufmann, Paul Beame, Armin Biere, Jakob Nordström |
| 2022 | Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge. Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani |
| 2022 | An FPGA Overlay for Efficient Real-Time Localization in 1/10th Scale Autonomous Vehicles. Andrea Bernardi, Gianluca Brilli, Alessandro Capotondi, Andrea Marongiu, Paolo Burgio |
| 2022 | AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms. Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Driton Salihu, Julian Höfer, Anmol Singh, Naveen Shankar Nagaraja, Hans-Jörg Vögel, Nguyen Anh Vu Doan, Maurizio Martina, Jürgen Becker, Walter Stechele |
| 2022 | Analysis of Power-Oriented Fault Injection Attacks on Spiking Neural Networks. Karthikeyan Nagarajan, Junde Li, Sina Sayyah Ensan, Mohammad Nasim Imtiaz Khan, Sachhidh Kannan, Swaroop Ghosh |
| 2022 | Analyzing CAN's Timing under Periodically Authenticated Encryption. Mingqing Zhang, Philip Parsch, Henry Hoffmann, Alejandro Masrur |
| 2022 | Are Analytical Techniques Worthwhile for Analog IC Placement? Yishuang Lin, Yaguang Li, Donghao Fang, Meghna Madhusudan, Sachin S. Sapatnekar, Ramesh Harjani, Jiang Hu |
| 2022 | Attack Data Generation Framework for Autonomous Vehicle Sensors. Jan Lauinger, Andreas Finkenzeller, Henrik Lautebach, Mohammad Hamad, Sebastian Steinhorst |
| 2022 | Automatic Generation of Architecture-Level Models from RTL Designs for Processors and Accelerators. Yu Zeng, Aarti Gupta, Sharad Malik |
| 2022 | BMC+Fuzz: Efficient and Effective Test Generation. Ravindra Metta, Raveendra Kumar Medicherla, Samarjit Chakraborty |
| 2022 | BMPQ: Bit-Gradient Sensitivity-Driven Mixed-Precision Quantization of DNNs from Scratch. Souvik Kundu, Shikai Wang, Qirui Sun, Peter A. Beerel, Massoud Pedram |
| 2022 | BOiLS: Bayesian Optimisation for Logic Synthesis. Antoine Grosnit, Cédric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar |
| 2022 | BatchLens: A Visualization Approach for Analyzing Batch Jobs in Cloud Systems. Shaolun Ruan, Yong Wang, Hailong Jiang, Weijia Xu, Qiang Guan |
| 2022 | BenQ: Benchmarking Automated Quantization on Deep Neural Network Accelerators. Zheng Wei, Xingjun Zhang, Jingbo Li, Zeyu Ji, Jia Wei |
| 2022 | Beware of the Bias - Statistical Performance Evaluation of Higher-Order Alphabet PUFs. Christoph Frisch, Michael Pehl |
| 2022 | Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition. Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer, Simone Benatti, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari |
| 2022 | CR&P: An Efficient Co-operation between Routing and Placement. Erfan Aghaeekiasaraee, Aysa Fakheri Tabrizi, Tiago Augusto Fontana, Renan Netto, Sheiny Fabre Almeida, Upma Gandhi, José Luís Gützel, David T. Westwick, Laleh Behjat |
| 2022 | CR-Spectre: Defense-Aware ROP Injected Code-Reuse Based Dynamic Spectre. Abhijitt Dhavlle, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao |
| 2022 | CSLE: A Cost-sensitive Learning Engine for Disk Failure Prediction in Large Data Centers. Xinyan Zhang, Kai Shant, Zhipeng Tan, Dan Feng |
| 2022 | Cache-aware Schedulability Analysis of PREM Compliant Tasks. Syed Aftab Rashid, Muhammad Ali Awan, Pedro F. Souto, Konstantinos Bletsas, Eduardo Tovar |
| 2022 | CacheRewinder: Revoking Speculative Cache Updates Exploiting Write-Back Buffer. Jongmin Lee, Jun-Yeon Lee, Taeweon Suh, Gunjae Koo |
| 2022 | Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks? Gourav Datta, Peter A. Beerel |
| 2022 | Characterizing and Optimizing Hybrid DRAM-PM Main Memory System with Application Awareness. Yongfeng Wang, Yinjin Fu, Yubo Liu, Zhiguang Chen, Nong Xiao |
| 2022 | Circuits for Measurement Based Quantum State Preparation. Niels Gleinig, Torsten Hoefler |
| 2022 | Compatibility Checking for Autonomous Lane-Changing Assistance Systems. Po-Yu Huang, Kai-Wei Liu, Zong-Lun Li, Sanggu Park, Edward Andert, Chung-Wei Lin, Aviral Shrivastava |
| 2022 | Comprehensive and Accessible Channel Routing for Microfluidic Devices. Gerold Fink, Philipp Ebner, Robert Wille |
| 2022 | Constructive Common-Centroid Placement and Routing for Binary-Weighted Capacitor Arrays. Nibedita Karmokar, Arvind K. Sharma, Jitesh Poojary, Meghna Madhusudan, Ramesh Harjani, Sachin S. Sapatnekar |
| 2022 | Contamination-Free Switch Design and Synthesis for Microfluidic Large-Scale Integration. Duan Shen, Yushen Zhang, Mengchu Li, Tsun-Ming Tseng, Ulf Schlichtmann |
| 2022 | Contract-Based Quality-of-Service Assurance in Dynamic Distributed Systems. Lea Schönberger, Susanne Graf, Selma Saidi, Dirk Ziegenbein, Arne Hamann |
| 2022 | CoreMemDTM: Integrated Processor Core and 3D Memory Dynamic Thermal Management for Improved Performance. Lokesh Siddhu, Rajesh Kedia, Preeti Ranjan Panda |
| 2022 | Counteract Side-Channel Analysis of Neural Networks by Shuffling. Manuel Brosch, Matthias Probst, Georg Sigl |
| 2022 | Counting Priority Inversions: Computing Maximum Additional Core Requests of DAG Tasks. Morteza Mohaqeqi, Gaoyang Dai, Wang Yi |
| 2022 | Cross-Layer Approximation For Printed Machine Learning Circuits. Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel |
| 2022 | Cross-Level Processor Verification via Endless Randomized Instruction Stream Generation with Coverage-guided Aging. Niklas Bruns, Vladimir Herdt, Eyck Jentzsch, Rolf Drechsler |
| 2022 | DASC: A DRAM Data Mapping Methodology for Sparse Convolutional Neural Networks. Bo-Cheng Lai, Tzu-Chieh Chiang, Po-Shen Kuo, Wan-Ching Wang, Yan-Lin Hung, Hung-Ming Chen, Chien-Nan Liu, Shyh-Jye Jou |
| 2022 | DIET: A Dynamic Energy Management Approach for Wearable Health Monitoring Devices. Nuzhat Yamin, Ganapati Bhat, Janardhan Rao Doppa |
| 2022 | DIP Learning on CAS-Lock: Using Distinguishing Input Patterns for Attacking Logic Locking. Akashdeep Saha, Urbi Chatterjee, Debdeep Mukhopadhyay, Rajat Subhra Chakraborty |
| 2022 | DREAMPlace 4.0: Timing-driven Global Placement with Momentum-based Net Weighting. Peiyu Liao, Siting Liu, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu |
| 2022 | DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture. Tao Yang, Dongyue Li, Zhuoran Song, Yilong Zhao, Fangxin Liu, Zongwu Wang, Zhezhi He, Li Jiang |
| 2022 | DWR: Differential Wearing for Read Performance Optimization on High-Density NAND Flash Memory. Yunpeng Song, Qiao Li, Yina Lv, Changlong Li, Liang Shi |
| 2022 | Data-Aware Cache Management for Graph Analytics. Neelam Sharma, Varun Venkitaraman, Newton, Vikash Kumar, Shubham Singhania, Chandan Kumar Jha |
| 2022 | De-RISC: A Complete RISC-V Based Space-Grade Platform. Nils-Johan Wessman, Fabio Malatesta, Stefano Ribes, Jan Andersson, Antonio García-Vilanova, Miguel Masmano, Vicente Nicolau, Paco Gomez, Jimmy Le Rhun, Sergi Alcaide, Guillem Cabo, Francisco Bas, Pedro Benedicte, Fabio Mazzocchetti, Jaume Abella |
| 2022 | DeFT: A Deadlock-Free and Fault-Tolerant Routing Algorithm for 2.5D Chiplet Networks. Ebadollah Taheri, Sudeep Pasricha, Mahdi Nikdast |
| 2022 | Deadlock Analysis and Prevention for Intersection Management Based on Colored Timed Petri Nets. Tsung-Lin Tsou, Chung-Wei Lin, Iris Hui-Ru Jiang |
| 2022 | Deep Reinforcement Learning for Analog Circuit Structure Synthesis. Zhenxin Zhao, Lihong Zhang |
| 2022 | DeepPM: Transformer-based Power and Performance Prediction for Energy-Aware Software. Jun S. Shim, Bogyeong Han, Yeseong Kim, Jihong Kim |
| 2022 | Design and Evaluation Frameworks for Advanced RISC-based Ternary Processor. Dongyun Kam, Jung Gyu Min, Jongho Yoon, Sunmean Kim, Seokhyeong Kang, Youngjoo Lee |
| 2022 | Design enablement of CFET devices for sub-2nm CMOS nodes. Odysseas Zografos, Bilal Chehab, Pieter Schuddinck, Gioele Mirabelli, Naveen Kakarla, Yang Xiang, Pieter Weckx, Julien Ryckaert |
| 2022 | Design of AI Trojans for Evading Machine Learning-based Detection of Hardware Trojans. Zhixin Pan, Prabhat Mishra |
| 2022 | Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing. M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor |
| 2022 | DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators. Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna |
| 2022 | Discrete Samplers for Approximate Inference in Probabilistic Machine Learning. Shirui Zhao, Nimish Shah, Wannes Meert, Marian Verhelst |
| 2022 | Do Temperature and Humidity Exposures Hurt or Benefit Your SSDs? Adnan Maruf, Sashri Brahmakshatriya, Baolin Li, Devesh Tiwari, Gang Quan, Janki Bhimani |
| 2022 | Dolmen: FPGA Swarm for Safety and Liveness Verification. Emilien Fournier, Ciprian Teodorov, Loïc Lagadec |
| 2022 | EM SCA & FI Self-Awareness and Resilience with Single On-chip Loop & ML Classifiers. Archisman Ghosh, Debayan Das, Santosh Ghosh, Shreyas Sen |
| 2022 | ENCORE Compression: Exploiting Narrow-width Values for Quantized Deep Neural Networks. Myeongjae Jang, Jinkwon Kim, Jesung Kim, Soontae Kim |
| 2022 | EVOLVE: Towards Converging Big-Data, High-Performance and Cloud-Computing Worlds. Achilleas Tzenetopoulos, Dimosthenis Masouros, Konstantina Koliogeorgi, Sotirios Xydis, Dimitrios Soudris, Antony Chazapis, Christos Kozanitis, Angelos Bilas, Christian Pinto, Huy-Nam Nguyen, Stelios Louloudakis, Georgios Gardikis, George Vamvakas, Michelle Aubrun, Christi Symeonidou, Vassilis Spitadakis, Konstantinos F. Xylogiannopoulos, Bernhard Peischl, Tahir Emre Kalayci, Alexander Stocker, Jean-Thomas Acquaviva |
| 2022 | EffiCSense: an Architectural Pathfinding Framework for Energy-Constrained Sensor Applications. Jonah Van Assche, Ruben Helsen, Georges G. E. Gielen |
| 2022 | Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding. Zhilu Wang, Chao Huang, Qi Zhu |
| 2022 | Efficient Hotspot Detection via Graph Neural Network. Shuyuan Sun, Yiyang Jiang, Fan Yang, Bei Yu, Xuan Zeng |
| 2022 | Efficient Traveling Salesman Problem Solvers using the Ising Model with Simulated Bifurcation. Tingting Zhang, Jie Han |
| 2022 | Emulation of Non-volatile Digital Logic for Batteryless Intermittent Computing. Simone Ruffini, Kasim Sinan Yildirim, Davide Brunelli |
| 2022 | Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices. Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie |
| 2022 | Energy Efficient, Real-time and Reliable Task Deployment on NoC-based Multicores with DVFS. Lei Mo, Qi Zhou, Angeliki Kritikakou, Ji Liu |
| 2022 | Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling. Sizhe Zhang, Ruixuan Wang, Dongning Ma, Jeff Jun Zhang, Xunzhao Yin, Xun Jiao |
| 2022 | Error Generation for 3D NAND Flash Memory. Weihua Liu, Fei Wu, Songmiao Meng, Xiang Chen, Changsheng Xie |
| 2022 | Estimating Vulnerability of All Model Parameters in DNN with a Small Number of Fault Injections. Yangchao Zhang, Hiroaki Itsuji, Takumi Uezono, Tadanobu Toba, Masanori Hashimoto |
| 2022 | Eva-CAM: A Circuit/Architecture-Level Evaluation Tool for General Content Addressable Memories. Liu Liu, Mohammad Mehdi Sharifi, Ramin Rajaei, Arman Kazemi, Kai Ni, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu |
| 2022 | EventTimer: Fast and Accurate Event-Based Dynamic Timing Analysis. Zuodong Zhang, Zizheng Guo, Yibo Lin, Runsheng Wang, Ru Huang |
| 2022 | Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks. Abhiroop Bhattacharjee, Lakshya Bhatnagar, Priyadarshini Panda |
| 2022 | Exploiting Arbitrary Paths for the Simulation of Quantum Circuits with Decision Diagrams. Lukas Burgholzer, Alexander Ploier, Robert Wille |
| 2022 | Exploiting Architecture Advances for Sparse Solvers in Circuit Simulation. Zhiyuan Yan, Biwei Xie, Xingquan Li, Yungang Bao |
| 2022 | Exploiting Parallelism with Vertex-Clustering in Processing-In-Memory-based GCN Accelerators. Yu Zhu, Zhenhua Zhu, Guohao Dai, Kai Zhong, Huazhong Yang, Yu Wang |
| 2022 | Exploring Standard-Cell Designs for Reconfigurable Nanotechnologies: A Formal Approach. Michael Raitza, Steffen Märcker, Shubham Rai, Akash Kumar |
| 2022 | FPGA-to-CPU Undervolting Attacks. Dina G. Mahmoud, Samah Hussein, Vincent Lenders, Mirjana Stojilovic |
| 2022 | FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems. Zishen Wan, Aqeel Anwar, Abdulrahman Mahmoud, Tianyu Jia, Yu-Shun Hsiao, Vijay Janapa Reddi, Arijit Raychowdhury |
| 2022 | Fast simulation of future 128-bit architectures. Fabien Portas, Frédéric Pétrot |
| 2022 | FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler. Siting Liu, Peiyu Liao, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu |
| 2022 | Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems. Siyue Wang, Geng Yuan, Xiaolong Ma, Yanyu Li, Xue Lin, Bhavya Kailkhura |
| 2022 | FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation Functions. Behnam Ghavami, Mani Sadati, Zhenman Fang, Lesley Shannon |
| 2022 | Flodam: Cross-Layer Reliability Analysis Flow for Complex Hardware Designs. Angeliki Kritikakou, Olivier Sentieys, Guillaume Hubert, Youri Helen, Jean-Francois Coulon, Patrice Deroux-Dauphin |
| 2022 | FlowAcc: Real-Time High-Accuracy DNN-based Optical Flow Accelerator in FPGA. Yehua Ling, Yuanxing Yan, Kai Huang, Gang Chen |
| 2022 | Full-credit Flow Control: A Novel Technique to Implement Deadlock-free Adaptive Routing. Yi Dai, Kai Lu, Sheng Ma, Junsheng Chang |
| 2022 | Full-stack quantum computing systems in the NISQ era: algorithm-driven and hardware-aware compilation techniques. Medina Bandic, Sebastian Feld, Carmen G. Almudéver |
| 2022 | G-GPU: A Fully-Automated Generator of GPU-like ASIC Accelerators. Tiago D. Perez, Marcio M. Gonçalves, Leonardo Gobatto, Marcelo Brandalero, José Rodrigo Azambuja, Samuel Pagliarini |
| 2022 | GATLB: A Granularity-Aware TLB to Support Multi-Granularity Pages in Hybrid Memory System. Yujuan Tan, Yujie Xie, Zhulin Ma, Zhichao Yan, Zhichao Zhang, Duo Liu, Xianzhang Chen |
| 2022 | Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture. Hanbo Sun, Chenyu Wang, Zhenhua Zhu, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang |
| 2022 | Golden Model-Free Hardware Trojan Detection by Classification of Netlist Module Graphs. Alexander Hepp, Johanna Baehr, Georg Sigl |
| 2022 | Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar. Youngeun Kim, Hyunsoo Kim, Seijoon Kim, Sang Joon Kim, Priyadarshini Panda |
| 2022 | Graph Neural Network-based Delay-Fault Localization for Monolithic 3D ICs. Shao-Chun Hung, Sanmitra Banerjee, Arjun Chaudhuri, Krishnendu Chakrabarty |
| 2022 | Graph Neural Network-based Delay-Fault Localization for Monolithic 3D ICs. Shao-Chun Hung, Sanmitra Banerjee, Arjun Chaudhuri, Krishnendu Chakrabarty |
| 2022 | GraphHD: Efficient graph classification using hyperdimensional computing. Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum |
| 2022 | GraphWave: A Highly-Parallel Compute-at-Memory Graph Processing Accelerator. Jinho Lee, Burin Amornpaisannon, Tulika Mitra, Trevor E. Carlson |
| 2022 | Guaranteed Activation of Capacitive Trojan Triggers During Post Production Test via Supply Pulsing. Bora Bilgic, Sule Ozev |
| 2022 | HELCFL: High-Efficiency and Low-Cost Federated Learning in Heterogeneous Mobile-Edge Computing. Yangguang Cui, Kun Cao, Junlong Zhou, Tongquan Wei |
| 2022 | Hardware Acceleration of Explainable Machine Learning. Zhixin Pan, Prabhat Mishra |
| 2022 | Health Monitoring of Milling Tools under Distinct Operating Conditions by a Deep Convolutional Neural Network model. Priscile Suawa Fogou, Michael Hübner |
| 2022 | How Parallel Circuit Execution Can Be Useful for NISQ Computing? Siyuan Niu, Aida Todri-Sanial |
| 2022 | Hybrid Digital-Digital In-Memory Computing. Muhammad Rashedul Haq Rashed, Sumit Kumar Jha, Fan Yao, Rickard Ewetz |
| 2022 | Hydra: A near hybrid memory accelerator for CNN inference. Palash Das, Ajay Joshi, Hemangee K. Kapoor |
| 2022 | HyperSpike: HyperDimensional Computing for More Efficient and Robust Spiking Neural Networks. Justin Morris, Hin Wai Lui, Kenneth Michael Stewart, Behnam Khaleghi, Anthony Thomas, Thiago Marback, Baris Aksanli, Emre Neftci, Tajana Rosing |
| 2022 | HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars. Adarsh Kosta, Efstathia Soufleri, Indranil Chakraborty, Amogh Agrawal, Aayush Ankit, Kaushik Roy |
| 2022 | INCLASS: Incremental Classification Strategy for Self-Aware Epileptic Seizure Detection. Lorenzo Ferretti, Giovanni Ansaloni, Renaud Marquis, Tomás Teijeiro, Philippe Ryvlin, David Atienza, Laura Pozzi |
| 2022 | Improve the Stability and Robustness of Power Management through Model-free Deep Reinforcement Learning. Lin Chen, Xiao Li, Jiang Xu |
| 2022 | Improving Cell-Aware Test for Intra-Cell Short Defects. Dong-Zhen Lee, Ying-Yen Chen, Kai-Chiang Wu, Mango C.-T. Chao |
| 2022 | Improving Technology Mapping for And-Inverter-Cones. Martin Thümmler, Shubham Rai, Akash Kumar |
| 2022 | In-situ Tuning of Printed Neural Networks for Variation Tolerance. Michael Hefenbrock, Dennis D. Weller, Jasmin Aghassi-Hagmann, Michael Beigl, Mehdi B. Tahoori |
| 2022 | Increasing Cellular Network Energy Efficiency for Railway Corridors. Adrian Schumacher, Ruben Merz, Andreas Burg |
| 2022 | Intelligent Methods for Test and Reliability. Hussam Amrouch, Jens Anders, Steffen Becker, Maik Betka, Gerd Bleher, Peter Domanski, Nourhan Elhamawy, Thomas Ertl, Athanasios Gatzastras, Paul R. Genssler, Sebastian Hasler, Martin Heinrich, André van Hoorn, Hanieh Jafarzadeh, Ingmar Kallfass, Florian Klemme, Steffen Koch, Ralf Küsters, Andrés Lalama, Raphaël Latty, Yiwen Liao, Natalia Lylina, Zahra Paria Najafi-Haghi, Dirk Pflüger, Ilia Polian, Jochen Rivoir, Matthias Sauer, Denis Schwachhofer, Steffen Templin, Christian Volmer, Stefan Wagner, Daniel Weiskopf, Hans-Joachim Wunderlich, Bin Yang, Martin Zimmermann |
| 2022 | Inter-IP Malicious Modification Detection through Static Information Flow Tracking. Zhaoxiang Liu, Orlando Arias, Weimin Fu, Yier Jin, Xiaolong Guo |
| 2022 | Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks? Ayesha Siddique, Khaza Anuarul Hoque |
| 2022 | JANUS-HD: Exploiting FSM Sequentiality and Synthesis Flexibility in Logic Obfuscation to Thwart SAT Attack While Offering Strong Corruption. Leon Li, Alex Orailoglu |
| 2022 | Know Your Neighbor: Physically Locating Xeon Processor Cores on the Core Tile Grid. Hyungmin Cho |
| 2022 | LAC: Learned Approximate Computing. Vaibhav Gupta, Tianmu Li, Puneet Gupta |
| 2022 | LRP: Predictive output activation based on SVD approach for CNN s acceleration. Xinxin Wu, Zhihua Fan, Tianyu Liu, Wenming Li, Xiaochun Ye, Dongrui Fan |
| 2022 | Latency analysis of self-suspending task chains. Tomasz Kloda, Jiyang Chen, Antoine Bertout, Lui Sha, Marco Caccamo |
| 2022 | Leakage Power Analysis in Different S-Box Masking Protection Schemes. Javad Bahrami, Mohammad Ebrahimabadi, Jean-Luc Danger, Sylvain Guilley, Naghmeh Karimi |
| 2022 | Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers. Paras Jain, Safeen Huda, Martin Maas, Joseph E. Gonzalez, Ion Stoica, Azalia Mirhoseini |
| 2022 | Learning to Mitigate Rowhammer Attacks. Biresh Kumar Joardar, Tyler K. Bletsch, Krishnendu Chakrabarty |
| 2022 | LiM-HDL: HDL-Based Synthesis for In-Memory Computing. Saman Fröhlich, Rolf Drechsler |
| 2022 | M2M-Routing: Environmental Adaptive Multi-agent Reinforcement Learning based Multi-hop Routing Policy for Self-Powered IoT Systems. Wen Zhang, Jeff Zhang, Mimi Xie, Tao Liu, Wenlu Wang, Chen Pan |
| 2022 | MCMQ: Simulation Framework for Scalable Multi-Core Flash Firmware of Multi-Queue SSDs. Jin Xue, Tianyu Wang, Zili Shao |
| 2022 | MEDEA: A Multi-objective Evolutionary Approach to DNN Hardware Mapping. Enrico Russo, Maurizio Palesi, Salvatore Monteleone, Davide Patti, Giuseppe Ascia, Vincenzo Catania |
| 2022 | MU-RMW: Minimizing Unnecessary RMW Operations in the Embedded Flash with SMR Disk. Chenlin Ma, Zhuokai Zhou, Yingping Wang, Yi Wang, Rui Mao |
| 2022 | MUSCAT: MUS-based Circuit Approximation Technique. Linus Witschen, Tobias Wiersema, Matthias Artmann, Marco Platzner |
| 2022 | Majority-based Design Flow for AQFP Superconducting Family. Giulia Meuli, Vinicius N. Possani, Rajinder Singh, Siang-Yun Lee, Alessandro Tempia Calvino, Dewmini Sudara Marakkalage, Patrick Vuillod, Luca G. Amarù, Scott Chase, Jamil Kawa, Giovanni De Micheli |
| 2022 | Many-Layer Hotspot Detection by Layer-Attentioned Visual Question Answering. Yen-Shuo Chen, Iris Hui-Ru Jiang |
| 2022 | MemPool-3D: Boosting Performance and Efficiency of Shared-L1 Memory Many-Core Clusters with 3D Integration. Matheus A. Cavalcante, Anthony Agnesina, Samuel Riedel, Moritz Brunion, Alberto García-Ortiz, Dragomir Milojevic, Francky Catthoor, Sung Kyu Lim, Luca Benini |
| 2022 | Memory Management Methodology for Application Data Structure Refinement and Placement on Heterogeneous DRAM/NVM Systems. Manolis Katsaragakis, Lazaros Papadopoulos, Christos Baloukas, Dimitrios Soudris |
| 2022 | MicroFaaS: Energy-efficient Serverless on Bare-metal Single-board Computers. Anthony Byrne, Yanni Pang, Allen Zou, Shripad Nadgowda, Ayse K. Coskun |
| 2022 | Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs. Nael Fasfous, Lukas Frickenstein, Michael Neumeier, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Maurizio Martina, Walter Stechele |
| 2022 | Mixed-Cell-Height Legalization on CPU-GPU Heterogeneous Systems. Haoyu Yang, Kit Fung, Yuxuan Zhao, Yibo Lin, Bei Yu |
| 2022 | MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction. Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu |
| 2022 | Muzzle the Shuttle: Efficient Compilation for Multi-Trap Trapped-Ion Quantum Computers. Abdullah Ash-Saki, Rasit Onur Topaloglu, Swaroop Ghosh |
| 2022 | NEUROTEC I: Neuro-inspired Artificial Intelligence Technologies for the Electronics of the Future. Melvin Galicia, Stephan Menzel, Farhad Merchant, Maximilian Müller, Hsin-Yu Chen, Qing-Tai Zhao, Felix Cüppers, Abdur R. Jalil, Qi Shu, Peter Schüffelgen, Gregor Mussler, Carsten Funck, Christian Lanius, Stefan Wiefels, Moritz von Witzleben, Christopher Bengel, Nils Kopperberg, Tobias Ziegler, R. Walied Ahmad, Alexander Krüger, Letícia Maria Bolzani Pöhls, Regina Dittmann, Susanne Hoffmann-Eifert, Vikas Rana, Detlev Grützmacher, Matthias Wuttig, Dirk J. Wouters, Andrei Vescan, Tobias Gemmeke, Joachim Knoch, Max Christian Lemme, Rainer Leupers, Rainer Waser |
| 2022 | NPU-Accelerated Imitation Learning for Thermal- and QoS-Aware Optimization of Heterogeneous Multi-Cores. Martin Rapp, Nikita Krohmer, Heba Khdr, Jörg Henkel |
| 2022 | NeuroHammer: Inducing Bit-Flips in Memristive Crossbar Memories. Felix Staudigl, Hazem Al Indari, Daniel Schön, Dominik Sisejkovic, Farhad Merchant, Jan Moritz Joseph, Vikas Rana, Stephan Menzel, Rainer Leupers |
| 2022 | NoCeption: A Fast PPA Prediction Framework for Network-on-Chips Using Graph Neural Network. Fuping Li, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li |
| 2022 | Non-Volatile Phase Change Material based Nanophotonic Interconnect. Parya Zolfaghari, Joel Ortiz, Cédric Killian, Sébastien Le Beux |
| 2022 | OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge. Tianyu Jia, En-Yu Yang, Yu-Shun Hsiao, Jonathan J. Cruz, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi |
| 2022 | OPACT: Optimization of Approximate Compressor Tree for Approximate Multiplier. Weihua Xiao, Cheng Zhuo, Weikang Qian |
| 2022 | OPTIC: A Practical Quantum Binary Classifier for Near-Term Quantum Computers. Tirthak Patel, Daniel Silver, Devesh Tiwari |
| 2022 | On Exploiting Patterns For Robust FPGA-based Multi-accelerator Edge Computing Systems. Seyyed Ahmad Razavi, Hsin-Yu Ting, Tootiya Giyahchi, Eli Bozorgzadeh |
| 2022 | On the Optimal OBDD Representation of 2-XOR Boolean Affine Spaces. Anna Bernasconi, Valentina Ciriani, Marco Longhi |
| 2022 | Once For All Skip: Efficient Adaptive Deep Neural Networks. Yu Yang, Di Liu, Hui Fang, Yi-Xiong Huang, Ying Sun, Zhi-Yuan Zhang |
| 2022 | Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization. Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani |
| 2022 | Opportunistic Communication with Latency Guarantees for Intermittently-Powered Devices. Kacper Wardega, Wenchao Li, Hyoseung Kim, Yawen Wu, Zhenge Jia, Jingtong Hu |
| 2022 | Optimizing CoW-based File Systems on Open-Channel SSDs with Persistent Memory. Runyu Zhang, Duo Liu, Chaoshu Yang, Xianzhang Chen, Lei Qiao, Yujuan Tan |
| 2022 | PATS: Taming Bandwidth Contention between Persistent and Dynamic Memories. Shucheng Wang, Qiang Cao, Ziyi Lu, Hong Jiang, Yuanyuan Dong |
| 2022 | PAxC: A Probabilistic-oriented Approximate Computing Methodology for ANNs. Pengfei Huang, Chenghua Wang, Ke Chen, Weiqiang Liu |
| 2022 | PIMProf: An Automated Program Profiler for Processing-in-Memory Offloading Decisions. Yizhou Wei, Minxuan Zhou, Sihang Liu, Korakit Seemakhupt, Tajana Rosing, Samira Manabi Khan |
| 2022 | PREFENDER: A Prefetching Defender against Cache Side Channel Attacks as A Pretender. Luyi Li, Jiayi Huang, Lang Feng, Zhongfeng Wang |
| 2022 | PathSeeker: A Fast Mapping Algorithm for CGRAs. Mahesh Balasubramanian, Aviral Shrivastava |
| 2022 | Physical and Functional Reverse Engineering Challenges for Advanced Semiconductor Solutions. Bernhard Lippmann, Ann-Christin Bette, Matthias Ludwig, Johannes Mutter, Johanna Baehr, Alexander Hepp, Horst A. Gieser, Nicola Kovac, Tobias Zweifel, Martin Rasche, Oliver Kellermann |
| 2022 | Physically and Algorithmically Secure Logic Locking with Hybrid CMOS/Nanomagnet Logic Circuits. Alexander J. Edwards, Naimul Hassan, Dhritiman Bhattacharya, Mustafa M. Shihab, Peng Zhou, Xuan Hu, Jayasimha Atulasimha, Yiorgos Makris, Joseph S. Friedman |
| 2022 | PiMulator: a Fast and Flexible Processing-in-Memory Emulation Platform. Sergiu Mosanu, Mohammad Nazmus Sakib, Tommy Tracy II, Ersin Cukurtas, Alif Ahmed, Preslav Ivanov, Samira Manabi Khan, Kevin Skadron, Mircea Stan |
| 2022 | Pin Accessibility-driven Placement Optimization with Accurate and Comprehensive Prediction Model. Suwan Kim, Taewhan Kim |
| 2022 | PoisonHD: Poison Attack on Brain-Inspired Hyperdimensional Computing. Ruixuan Wang, Xun Jiao |
| 2022 | PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs. Zhe Lin, Zike Yuan, Jieru Zhao, Wei Zhang, Hui Wang, Yonghong Tian |
| 2022 | Practical Substrate Design Considering Symmetrical and Shielding Routes. Hao-Yu Chi, Simon Yi-Hung Chen, Hung-Ming Chen, Chien-Nan Liu, Yun-Chih Kuo, Ya-Hsin Chang, Kuan-Hsien Ho |
| 2022 | Practical identity recognition using WiFi's Channel State Information. Cristian Turetta, Florenc Demrozi, Philipp H. Kindt, Alejandro Masrur, Graziano Pravadelli |
| 2022 | Proactive Run-Time Mitigation for Time-Critical Applications Using Dynamic Scenario Methodology. Ji-Yung Lin, Pieter Weckx, Subrat Mishra, Alessio Spessot, Francky Catthoor |
| 2022 | Providing Response Times Guarantees for Mixed-Criticality Network Slicing in 5G. Andrea Nota, Selma Saidi, Dennis Overbeck, Fabian Kurtz, Christian Wietfeld |
| 2022 | Quantization-Aware In-situ Training for Reliable and Accurate Edge AI. João Paulo C. de Lima, Luigi Carro |
| 2022 | REH: Redesigning Extendible Hashing for Commercial Non-Volatile Memory. Zhengtao Li, Zhipeng Tan, Jianxi Chen |
| 2022 | RESTORE: Real-Time Task Scheduling on a Temperature Aware FinFET based Multicore. Yanshul Sharma, Sanjay Moulik, Shounak Chakraborty |
| 2022 | RF-CGRA: A Routing-Friendly CGRA with Hierarchical Register Chains. Rong Zhu, Bo Wang, Dajiang Liu |
| 2022 | RLPlace: Deep RL Guided Heuristics for Detailed Placement Optimization. Uday Mallappa, Sreedhar Pratty, David Brown |
| 2022 | RTSEC: Automated RTL Code Augmentation for Hardware Security Enhancement. Orlando Arias, Zhaoxiang Liu, Xiaolong Guo, Yier Jin, Shuo Wang |
| 2022 | Raw Filtering of JSON Data on FPGAs. Tobias Hahn, Andreas Becher, Stefan Wildermann, Jürgen Teich |
| 2022 | RePAIR: A ReRAM-based Processing-in-Memory Accelerator for Indel Realignment. Ting Wu, Chin-Fu Nien, Kuang-Chao Chou, Hsiang-Yun Cheng |
| 2022 | Reconciling QoS and Concurrency in NVIDIA GPUs via Warp-Level Scheduling. Jayati Singh, Ignacio Sañudo Olmedo, Nicola Capodieci, Andrea Marongiu, Marco Caccamo |
| 2022 | RedMulE: A Compact FP16 Matrix-Multiplication Accelerator for Adaptive Deep Learning on RISC-V-Based Ultra-Low-Power SoCs. Yvan Tortorella, Luca Bertaccini, Davide Rossi, Luca Benini, Francesco Conti |
| 2022 | Reducing the Configuration Overhead of the Distributed Two-level Control System. Yu Yang, Dimitrios Stathis, Ahmed Hemani |
| 2022 | Referencing-in-Array Scheme for RRAM-based CIM Architecture. Abhairaj Singh, Rajendra Bishnoi, Rajiv V. Joshi, Said Hamdioui |
| 2022 | Reliability Analysis of FinFET-Based SRAM PUFs for 16nm, 14nm, and 7nm Technology Nodes. Shayesteh Masoumian, Georgios N. Selimis, Rui Wang, Geert Jan Schrijen, Said Hamdioui, Mottaqiallah Taouil |
| 2022 | Reliability Analysis of a Spiking Neural Network Hardware Accelerator. Theofilos Spyrou, Sarah A. El-Sayed, Engin Afacan, Luis A. Camuñas-Mesa, Bernabé Linares-Barranco, Haralampos-G. Stratigopoulos |
| 2022 | Reliability of Google's Tensor Processing Units for Embedded Applications. Rubens Luiz Rech Junior, Paolo Rech |
| 2022 | Reliable Distributed Systems. Philipp Mundhenk, Arne Hamann, Andreas Heyl, Dirk Ziegenbein |
| 2022 | Remote Sensing with UAV and Mobile Recharging Vehicle Rendezvous. Michael H. Ostertag, Jason Ma, Tajana Rosing |
| 2022 | Response Time Analysis for Energy-Harvesting Mixed-Criticality Systems. Kankan Wang, Yuhan Lin, Qingxu Deng |
| 2022 | RevEAL: Single-Trace Side-Channel Leakage of the SEAL Homomorphic Encryption Library. Furkan Aydin, Emre Karabulut, Seetal Potluri, Erdem Alkim, Aydin Aysu |
| 2022 | Revisiting Pass-Transistor Logic Styles in a 12nm FinFET Technology Node. Jan Lappas, André Lucas Chinazzo, Christian Weis, ChenYang Xia, Zhihang Wu, Leibin Ni, Norbert Wehn |
| 2022 | Robust Binary Neural Network against Noisy Analog Computation. Zong-Han Lee, Fu-Cheng Tsai, Shih-Chieh Chang |
| 2022 | Robust Human Activity Recognition Using Generative Adversarial Imputation Networks. Dina Hussein, Aaryan Jain, Ganapati Bhat |
| 2022 | Robust Reconfigurable Scan Networks. Natalia Lylina, Chih-Hao Wang, Hans-Joachim Wunderlich |
| 2022 | Routability-Aware Placement for Advanced FinFET Mixed-Signal Circuits using Satisfiability Modulo Theories. Hao Chen, Walker J. Turner, David Z. Pan, Haoxing Ren |
| 2022 | Runtime Energy Minimization of Distributed Many-Core Systems using Transfer Learning. Dainius Jenkus, Fei Xia, Rishad A. Shafik, Alex Yakovlev |
| 2022 | SACC: Split and Combine Approach to Reduce the Off-chip Memory Accesses of LSTM Accelerators. Saurabh Tewari, Anshul Kumar, Kolin Paul |
| 2022 | SCI-FI: Control Signal, Code, and Control Flow Integrity against Fault Injection Attacks. Thomas Chamelot, Damien Couroussé, Karine Heydemann |
| 2022 | SCLCRL: Shuttling C-elements based Low-Cost and Robust Latch Design Protected against Triple Node Upsets in Harsh Radiation Environments. Aibin Yan, Zhixing Li, Shiwei Huang, Zijie Zhai, Xiangyu Cheng, Jie Cui, Tianming Ni, Xiaoqing Wen, Patrick Girard |
| 2022 | SDK4ED: One-click platform for Energy-aware, Maintainable and Dependable Applications. Charalampos Marantos, Miltiadis G. Siavvas, Dimitrios Tsoukalas, Christos P. Lamprakos, Lazaros Papadopoulos, Pawel Boryszko, Katarzyna Filus, Joanna Domanska, Apostolos Ampatzoglou, Alexander Chatzigeorgiou, Erol Gelenbe, Dionisis D. Kehagias, Dimitrios Soudris |
| 2022 | SGRM: Stackelberg Game-Based Resource Management for Edge Computing Systems. Antonis Karteris, Manolis Katsaragakis, Dimosthenis Masouros, Dimitrios Soudris |
| 2022 | SNE: an Energy-Proportional Digital Accelerator for Sparse Event-Based Convolutions. Alfio Di Mauro, Arpan Suravi Prasad, Zhikai Huang, Matteo Spallanzani, Francesco Conti, Luca Benini |
| 2022 | SPARROW: A Low-Cost Hardware/Software Co-designed SIMD Microarchitecture for AI Operations in Space Processors. Marc Solé Bonet, Leonidas Kosmidis |
| 2022 | SafeDM: a Hardware Diversity Monitor for Redundant Execution on Non-Lockstepped Cores. Francisco Bas, Pedro Benedicte, Sergi Alcaide, Guillem Cabo, Fabio Mazzocchetti, Jaume Abella |
| 2022 | SafeSU-2: a Safe Statistics Unit for Space MPSoCs. Guillem Cabo, Sergi Alcaide, Carles Hernández, Pedro Benedicte, Francisco Bas, Fabio Mazzocchetti, Jaume Abella |
| 2022 | SafeTEE: Combining Safety and Security on ARM-based Microcontrollers. Martin Schönstedt, Ferdinand Brasser, Patrick Jauernig, Emmanuel Stapf, Ahmad-Reza Sadeghi |
| 2022 | Salvaging Runtime Bad Blocks by Skipping Bad Pages for Improving SSD Performance. Junoh Moon, Mincheol Kang, Wonyoung Lee, Soontae Kim |
| 2022 | Scalable Hardware Acceleration of Non-Maximum Suppression. Chunyun Chen, Tianyi Zhang, Zehui Yu, Adithi Raghuraman, Shwetalaxmi Udayan, Jie Lin, Mohamed M. Sabry Aly |
| 2022 | Scalable Variational Quantum Circuits for Autoencoder-based Drug Discovery. Junde Li, Swaroop Ghosh |
| 2022 | Self-Aware MIMO Beamforming Systems: Dynamic Adaptation to Channel Conditions and Manufacturing Variability. Suhasini Komarraju, Abhijit Chatterjee |
| 2022 | Self-Terminating Write of Multi-Level Cell ReRAM for Efficient Neuromorphic Computing. Zongwu Wang, Zhezhi He, Rui Yang, Shiquan Fan, Jie Lin, Fangxin Liu, Yueyang Jia, Chenxi Yuan, Qidong Tang, Li Jiang |
| 2022 | Shyper: An embedded hypervisor applying hierarchical resource isolation strategies for mixed-criticality systems. Yicong Shen, Lei Wang, Yuanzhi Liang, Siran Li, Bo Jiang |
| 2022 | SiC Processors for Extreme High- Temperature Venus Surface Exploration. Heewoo Kim, Javad Bagherzadeh, Ronald G. Dreslinski |
| 2022 | Siamese Neural Encoders for Long-Term Indoor Localization with Mobile Devices. Saideep Tiku, Sudeep Pasricha |
| 2022 | Space and Power Reduction in BDD-based Optical Logic Circuits Exploiting Dual Ports. Ryosuke Matsuo, Shin-ichi Minato |
| 2022 | Stealth ECC: A Data-Width Aware Adaptive ECC Scheme for DRAM Error Resilience. Young Seo Lee, Gunjae Koo, Young-Ho Gong, Sung Woo Chung |
| 2022 | Stealthy Inference Attack on DNN via Cache-based Side-Channel Attacks. Han Wang, Syed Mahbub Hafiz, Kartik Patwari, Chen-Nee Chuah, Zubair Shafiq, Houman Homayoun |
| 2022 | Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge. Kartikeya Bhardwaj, Dibakar Gope, James Ward, Paul N. Whatmough, Danny Loh |
| 2022 | SySCIM: SystemC-AMS Simulation of Memristive Computation In-Memory. Seyed Hossein Hashemi Shadmehri, Ali BanaGozar, Mehdi Kamal, Sander Stuijk, Ali Afzali-Kusha, Massoud Pedram, Henk Corporaal |
| 2022 | Symbiotic Safety: Safe and Efficient Human-Machine Collaboration by utilizing Rules. Tasuku Ishigooka, Hiroyuki Yamada, Satoshi Otsuka, Nobuyasu Kanekawa, Junya Takahashi |
| 2022 | SyncLock: RF Transceiver Security Using Synchronization Locking. Alán Rodrigo Díaz Rizo, Hassan Aboushady, Haralampos-G. Stratigopoulos |
| 2022 | T-SKID: Predicting When to Prefetch Separately from Address Prediction. Toru Koizumi, Tomoki Nakamura, Yuya Degawa, Hidetsugu Irie, Shuichi Sakai, Ryota Shioya |
| 2022 | TAS: Ternarized Neural Architecture Search for Resource-Constrained Edge Devices. Mohammad Loni, Hamid Mousavi, Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin |
| 2022 | TCX: A Programmable Tensor Processor. Tailin Liang, Lei Wang, Shaobo Shi, John Glossner, Xiaotong Zhang |
| 2022 | TRADER: A Practical Track-Assignment-Based Detailed Router. Zhen Zhuang, Genggeng Liu, Tsung-Yi Ho, Bei Yu, Wenzhong Guo |
| 2022 | Ternarized TCN for $\mu \mathrm{J}/\text{Inference}$ Gesture Recognition from DVS Event Frames. Georg Rutishauser, Moritz Scherer, Tim Fischer, Luca Benini |
| 2022 | The SELENE Deep Learning Acceleration Framework for Safety-related Applications. Laura Medina, Salva Carrion, Pablo Andreu, Tomás Picornell, José Flich, Carles Hernández, Michael Sandoval, Markel Sainz, Charles-Alexis Lefebvre, Martin Rönnbäck, Martin Matschnig, Matthias Wess, Herbert Taucher |
| 2022 | The Scale4Edge RISC-V Ecosystem. Wolfgang Ecker, Peer Adelt, Wolfgang Müller, Reinhold Heckmann, Milos Krstic, Vladimir Herdt, Rolf Drechsler, Gerhard Angst, Ralf Wimmer, Andreas Mauderer, Rafael Stahl, Karsten Emrich, Daniel Mueller-Gritschneder, Bernd Becker, Philipp Scholl, Eyck Jentzsch, Jan Schlamelcher, Kim Grüttner, Paul Palomero Bernardo, Oliver Bringmann, Mihaela Damian, Julian Oppermann, Andreas Koch, Jörg Bormann, Johannes Partzsch, Christian Mayr, Wolfgang Kunz |
| 2022 | Thermal- and Cache-Aware Resource Management based on ML- Driven Cache Contention Prediction. Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel |
| 2022 | ThingNet: A Lightweight Real-time Mirai IoT Variants Hunter through CPU Power Fingerprinting. Zhuoran Li, Dan Zhao |
| 2022 | Topology Optimization of Operational Amplifier in Continuous Space via Graph Embedding. Jialin Lu, Liangbo Lei, Fan Yang, Li Shang, Xuan Zeng |
| 2022 | Towards ADC-Less Compute-In-Memory Accelerators for Energy Efficient Deep Learning. Utkarsh Saxena, Indranil Chakraborty, Kaushik Roy |
| 2022 | Towards Approximate Computing for Achieving Energy vs. Accuracy Trade-offs. Aleksandr Ometov, Jari Nurmi |
| 2022 | Towards Energy-Efficient CGRAs via Stochastic Computing. Bo Wang, Rong Zhu, Jiaxing Shang, Dajiang Liu |
| 2022 | Towards Implementing RTL Microprocessor Agile Design Using Feature Oriented Programming. Hongji Zou, Mingchuan Shi, Tun Li, WanXia Qu |
| 2022 | Towards Low-Cost High-Accuracy Stochastic Computing Architecture for Univariate Functions: Design and Design Space Exploration. Kuncai Zhong, Zexi Li, Weikang Qian |
| 2022 | Towards Reconfigurable Accelerators in HPC: Designing a Multipurpose eFPGA Tile for Heterogeneous SoCs. Tim Hotfilter, Fabian Kreß, Fabian Kempf, Jürgen Becker, Juan Miguel De Haro Ruiz, Daniel Jiménez-González, Miquel Moretó, Carlos Álvarez, Jesús Labarta, Imen Baili |
| 2022 | TriLock: IC Protection with Tunable Corruptibility and Resilience to SAT and Removal Attacks. Yuke Zhang, Yinghua Hu, Pierluigi Nuzzo, Peter A. Beerel |
| 2022 | Triple-Skipping Near-MRAM Computing Framework for AIoT Era. Juntong Chen, Hao Cai, Bo Liu, Jun Yang |
| 2022 | Twine: A Chisel Extension for Component-Level Heterogeneous Design. Shibo Chen, Yonathan Fisseha, Jean-Baptiste Jeannin, Todd M. Austin |
| 2022 | Understanding and Mitigating Memory Interference in FPGA-based HeSoCs. Gianluca Brilli, Alessandro Capotondi, Paolo Burgio, Andrea Marongiu |
| 2022 | Unifying Temporal and Spatial Locality for Cache Management inside SSDs. Zhibing Sha, Zhigang Cai, François Trahay, Jianwei Liao, Dong Yin |
| 2022 | Unsupervised Test-Time Adaptation of Deep Neural Networks at the Edge: A Case Study. Kshitij Bhardwaj, James Diffenderfer, Bhavya Kailkhura, Maya B. Gokhale |
| 2022 | Using Formal Conformance Testing to Generate Scenarios for Autonomous Vehicles. Jean-Baptiste Horel, Christian Laugier, Lina Marsso, Radu Mateescu, Lucie Muller, Anshul Paigwar, Alessandro Renzaglia, Wendelin Serwe |
| 2022 | Using ontologies for dataset engineering in automotive AI applications. Martin Herrmann, Christian Witt, Laureen Lake, Stefani Guneshka, Christian Heinzemann, Frank Bonarens, Patrick Feifel, Simon Funke |
| 2022 | VEDLIoT: Very Efficient Deep Learning in IoT. Martin Kaiser, René Griessl, Nils Kucza, Carola Haumann, Lennart Tigges, Kevin Mika, Jens Hagemeyer, Florian Porrmann, Ulrich Rückert, Micha vor dem Berge, Stefan Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Qararyah, Stavroula Zouzoula, António Casimiro, Alysson Neves Bessani, José Cecílio, Stefan Andersson, Oliver Brunnegård, Olof Eriksson, Roland Weiss, Franz Meierhöfer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Ödman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Jämes Ménétrey, Karol Gugala, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn |
| 2022 | VW-SDK: Efficient Convolutional Weight Mapping Using Variable Windows for Processing-In-Memory Architectures. Johnny Rhe, Sungmin Moon, Jong Hwan Ko |
| 2022 | Value-aware Parity Insertion ECC for Fault-tolerant Deep Neural Network. Seo-Seok Lee, Joon-Sung Yang |
| 2022 | Variability-Aware Training and Self-Tuning of Highly Quantized DNNs for Analog PIM. Zihao Deng, Michael Orshansky |
| 2022 | WRAP: Weight RemApping and Processing in RRAM-based Neural Network Accelerators Considering Thermal Effect. Po-Yuan Chen, Fang-Yi Gu, Yu-Hong Huang, Ing-Chao Lin |
| 2022 | XANDAR: Exploiting the X-by-Construction Paradigm in Model-based Development of Safety-critical Systems. Leonard Masing, Tobias Dörr, Florian Schade, Jürgen Becker, Georgios Keramidas, Christos P. Antonopoulos, Michail Mavropoulos, Efstratios Tiganourias, Vasilios I. Kelefouras, Konstantinos Antonopoulos, Nikolaos S. Voros, Umut Durak, Alexander Ahlbrecht, Wanja Zaeske, Christos Panagiotou, Dimitris Karadimas, Nico Adler, Andreas Sailer, Raphael Weber, Thomas Wilhelm, Géza Németh, Fahad Siddiqui, Rafiullah Khan, Vahid Garousi, Sakir Sezer, Victor Morales |
| 2022 | XST: A Crossbar Column-wise Sparse Training for Efficient Continual Learning. Fan Zhang, Li Yang, Jian Meng, Jae-sun Seo, Yu Cao, Deliang Fan |
| 2022 | XTENSTORE: Fast Shielded In-memory Key-Value Store on a Hybrid x86-FPGA System. Hyunyoung Oh, Dongil Hwang, Maja Malenko, Myunghyun Cho, Hyungon Moon, Marcel Baunach, Yunheung Paek |
| 2022 | coxHE: A software-hardware co-design framework for FPGA acceleration of homomorphic computation. Mingqin Han, Yilan Zhu, Qian Lou, Zimeng Zhou, Shanqing Guo, Lei Ju |
| 2022 | tweedledum: A Compiler Companion for Quantum Computing. Bruno Schmitt, Giovanni De Micheli |