| 2021 | 3D-Adv: Black-Box Adversarial Attacks against Deep Learning Models through 3D Sensors. Kaichen Yang, Xuan-Yi Lin, Yixin Sun, Tsung-Yi Ho, Yier Jin |
| 2021 | 58th ACM/IEEE Design Automation Conference, DAC 2021, San Francisco, CA, USA, December 5-9, 2021 |
| 2021 | A Bridge-based Compression Algorithm for Topological Quantum Circuits. Chen-Hao Hsu, Wan-Hsuan Lin, Wei-Hsiang Tseng, Yao-Wen Chang |
| 2021 | A Charge-Sharing based 8T SRAM In-Memory Computing for Edge DNN Acceleration. Kyeongho Lee, Sungsoo Cheon, Joongho Jo, Woong Choi, Jongsun Park |
| 2021 | A Complete PCB Routing Methodology with Concurrent Hierarchical Routing. Shih-Ting Lin, Hung-Hsiao Wang, Chia-Yu Kuo, Yolo Chen, Yih-Lang Li |
| 2021 | A Compute-in-Memory Architecture Compatible with 3D NAND Flash that Parallelly Activates Multi-Layers. Liang Zhao, Chu Yan, Fan Yang, Shifan Gao, Gabriel Rosca, Dan Manea, Zhichao Lu, Yi Zhao |
| 2021 | A Finer-Grained Blocking Analysis for Parallel Real-Time Tasks with Spin-Locks. Ze-Wei Chen, Hang Lei, Maolin Yang, Yong Liao, Lei Qiao |
| 2021 | A Formal Approach to Confidentiality Verification in SoCs at the Register Transfer Level. Johannes Müller, Mohammad Rahmani Fadiheh, Anna Lena Duque Antón, Thomas Eisenbarth, Dominik Stoffel, Wolfgang Kunz |
| 2021 | A Framework for Optimizing CPU-iGPU Communication on Embedded Platforms. Francesco Lumpp, Hiren D. Patel, Nicola Bombieri |
| 2021 | A Lightweight Isolation Mechanism for Secure Branch Predictors. Lutan Zhao, Peinan Li, Rui Hou, Michael C. Huang, Jiazhen Li, Lixin Zhang, Xuehai Qian, Dan Meng |
| 2021 | A New, Computationally Efficient "Blech Criterion" for Immortality in General Interconnects. Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Sachin S. Sapatnekar |
| 2021 | A Novel Machine-Learning based SoC Performance Monitoring Methodology under Wide-Range PVT Variations with Unknown Critical Paths. Ding-Hao Wang, Pei-Ju Lin, Hui-Ting Yang, Ching-An Hsu, Sin-Han Huang, Mark Po-Hung Lin |
| 2021 | A Provably Good and Practically Efficient Algorithm for Common Path Pessimism Removal in Large Designs. Zizheng Guo, Tsung-Wei Huang, Yibo Lin |
| 2021 | A Resource Binding Approach to Logic Obfuscation. Michael Zuzak, Yuntao Liu, Ankur Srivastava |
| 2021 | A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods. Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Caiwen Ding, Makan Fardad, Yanzhi Wang |
| 2021 | A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin |
| 2021 | ADROIT: An Adaptive Dynamic Refresh Optimization Framework for DRAM Energy Saving In DNN Training. Xinhan Lin, Liang Sun, Fengbin Tu, Leibo Liu, Xiangyu Li, Shaojun Wei, Shouyi Yin |
| 2021 | AID: Attesting the Integrity of Deep Neural Networks. Omid Aramoon, Pin-Yu Chen, Gang Qu |
| 2021 | ASBP: Automatic Structured Bit-Pruning for RRAM-based NN Accelerator. Songyun Qu, Bing Li, Ying Wang, Lei Zhang |
| 2021 | AdEle: An Adaptive Congestion-and-Energy-Aware Elevator Selection for Partially Connected 3D NoCs. Ebadollah Taheri, Ryan Gary Kim, Mahdi Nikdast |
| 2021 | An Automated and Process-Portable Generator for Phase-Locked Loop. Zhongkai Wang, Minsoo Choi, Eric Chang, John Charles Wright, Wooham Bae, Sijun Du, Zhaokai Liu, Nathan Narevsky, Colin Schmidt, Ayan Biswas, Borivoje Nikolic, Elad Alon |
| 2021 | An Efficient Algorithm for Sparse Quantum State Preparation. Niels Gleinig, Torsten Hoefler |
| 2021 | An Energy-Efficient Low-Latency 3D-CNN Accelerator Leveraging Temporal Locality, Full Zero-Skipping, and Hierarchical Load Balance. Changchun Zhou, Min Liu, Siyuan Qiu, Yifan He, Hailong Jiao |
| 2021 | An Intelligent Video Processing Architecture for Edge-cloud Video Streaming. Chengsi Gao, Ying Wang, Weiwei Chen, Lei Zhang |
| 2021 | Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems. Zishen Wan, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi, Arijit Raychowdhury |
| 2021 | AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference. Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu |
| 2021 | Application of Deep Reinforcement Learning to Dynamic Verification of DRAM Designs. Hyojin Choi, In Huh, Seungju Kim, Jeonghoon Ko, Changwook Jeong, Hyeonsik Son, Kiwon Kwon, Joonwan Chai, Younsik Park, Jaehoon Jeong, Daesin Kim, Jung Yun Choi |
| 2021 | Approximate Equivalence Checking of Noisy Quantum Circuits. Xin Hong, Mingsheng Ying, Yuan Feng, Xiangzhen Zhou, Sanjiang Li |
| 2021 | Architecture-aware Precision Tuning with Multiple Number Representation Systems. Daniele Cattaneo, Michele Chiari, Nicola Fossati, Stefano Cherubin, Giovanni Agosta |
| 2021 | Attentional Transfer is All You Need: Technology-aware Layout Pattern Generation. Xiaopeng Zhang, Haoyu Yang, Evangeline F. Y. Young |
| 2021 | AutoSVA: Democratizing Formal Verification of RTL Module Interactions. Marcelo Orenes-Vera, Aninda Manocha, David Wentzlaff, Margaret Martonosi |
| 2021 | Automated Compensation Scheme Design for Operational Amplifier via Bayesian Optimization. Jialin Lu, Liangbo Lei, Fan Yang, Changhao Yan, Xuan Zeng |
| 2021 | BHDL: A Lucid, Expressive, and Embedded Programming Language and System for PCB Designs. Hebi Li, Youbiao He, Qi Xiao, Jin Tian, Forrest Sheng Bao |
| 2021 | BLOwing Trees to the Ground: Layout Optimization of Decision Trees on Racetrack Memory. Christian Hakert, Asif Ali Khan, Kuan-Hsun Chen, Fazal Hameed, Jerónimo Castrillón, Jian-Jia Chen |
| 2021 | BRAHMS: Beyond Conventional RRAM-based Neural Network Accelerators Using Hybrid Analog Memory System. Tao Song, Xiaoming Chen, Xiaoyu Zhang, Yinhe Han |
| 2021 | BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture. Nanyang Ye, Jingbiao Mei, Zhicheng Fang, Yuwen Zhang, Ziqing Zhang, Huaying Wu, Xiaoyao Liang |
| 2021 | Bayesian Inference Based Robust Computing on Memristor Crossbar. Di Gao, Qingrong Huang, Grace Li Zhang, Xunzhao Yin, Bing Li, Ulf Schlichtmann, Cheng Zhuo |
| 2021 | Bit-Slicing the Hilbert Space: Scaling Up Accurate Quantum Circuit Simulation. Yuan-Hung Tsai, Jie-Hong R. Jiang, Chiao-Shan Jhang |
| 2021 | Bitwidth-Optimized Energy-Efficient FFT Design via Scaling Information Propagation. Xinzhe Liu, Fupeng Chen, Raees Kizhakkumkara Muhamad, David Blinder, Dessislava Nikolova, Peter Schelkens, Francky Catthoor, Yajun Ha |
| 2021 | BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices. Zhe Zhou, Bizhao Shi, Zhe Zhang, Yijin Guan, Guangyu Sun, Guojie Luo |
| 2021 | Building scalable variational circuit training for machine learning tasks. Kathleen E. Hamilton, Emily Lynn, Tyler Kharazi, Titus Morris, Ryan S. Bennink, Raphael C. Pooser |
| 2021 | CDAR-DRAM: An In-situ Charge Detection and Adaptive Data Restoration DRAM Architecture for Performance and Energy Efficiency Improvement. Chuxiong Lin, Weifeng He, Yanan Sun, Zhigang Mao, Mingoo Seok |
| 2021 | CLAppED: A Design Framework for Implementing Cross-Layer Approximation in FPGA-based Embedded Systems. Salim Ullah, Siva Satyendra Sahoo, Akash Kumar |
| 2021 | COSAIM: Counter-based Stochastic-behaving Approximate Integer Multiplier for Deep Neural Networks. Shuyuan Yu, Yibo Liu, Sheldon X.-D. Tan |
| 2021 | CascadeHD: Efficient Many-Class Learning Framework Using Hyperdimensional Computing. Yeseong Kim, Jiseung Kim, Mohsen Imani |
| 2021 | Circuit Connectivity Inspired Neural Network for Analog Mixed-Signal Functional Modeling. Mohsen Hassanpourghadi, Shiyu Su, Rezwan A. Rasul, Juzheng Liu, Qiaochu Zhang, Mike Shuo-Wei Chen |
| 2021 | Classifying Computations on Multi-Tenant FPGAs. Mustafa S. Gobulukoglu, Colin Drewes, William Hunter, Ryan Kastner, Dustin Richmond |
| 2021 | CoSPARSE: A Software and Hardware Reconfigurable SpMV Framework for Graph Analytics. Siying Feng, Jiawen Sun, Subhankar Pal, Xin He, Kuba Kaszyk, Dong-Hyeon Park, John Magnus Morton, Trevor N. Mudge, Murray Cole, Michael F. P. O'Boyle, Chaitali Chakrabarti, Ronald G. Dreslinski |
| 2021 | Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust Distillation. Yixuan Wang, Chao Huang, Zhilu Wang, Shichao Xu, Zhaoran Wang, Qi Zhu |
| 2021 | Cognitive Correlative Encoding for Genome Sequence Matching in Hyperdimensional System. Prathyush Poduval, Zhuowen Zou, Xunzhao Yin, Elaheh Sadredini, Mohsen Imani |
| 2021 | Control Variate Approximation for DNN Accelerators. Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel |
| 2021 | Convergence of SoC architecture and semiconductor manufacturing through AI/ML systems. Srinivas Bodapati, Pushkar Ranade, Ramune Nagisetty |
| 2021 | Cross-Device Profiled Side-Channel Attacks using Meta-Transfer Learning. Honggang Yu, Haoqi Shan, Maximillian Panoff, Yier Jin |
| 2021 | CrossLight: A Cross-Layer Optimized Silicon Photonic Neural Network Accelerator. Febin Sunny, Asif Mirza, Mahdi Nikdast, Sudeep Pasricha |
| 2021 | CuckoOnsai: An Efficient Memory Authentication Using Amalgam of Cuckoo Filters and Integrity Trees. Omais Shafi, Ismi Abidi |
| 2021 | DANCE: Differentiable Accelerator/Network Co-Exploration. Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee |
| 2021 | DIALED: Data Integrity Attestation for Low-end Embedded Devices. Ivan De Oliveira Nunes, Sashidhar Jakkamsetti, Gene Tsudik |
| 2021 | DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks. Ahmet Faruk Budak, Prateek Bhansali, Bo Liu, Nan Sun, David Z. Pan, Chandramouli V. Kashyap |
| 2021 | Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices. Yuhong Song, Weiwen Jiang, Bingbing Li, Panjie Qi, Qingfeng Zhuge, Edwin Hsing-Mean Sha, Sakyasingha Dasgupta, Yiyu Shi, Caiwen Ding |
| 2021 | Dataflow Mirroring: Architectural Support for Highly Efficient Fine-Grained Spatial Multitasking on Systolic-Array NPUs. Jounghoo Lee, Jinwoo Choi, Jaeyeon Kim, Jinho Lee, Youngsok Kim |
| 2021 | Deep Integration of Circuit Simulator and SAT Solver. He-Teng Zhang, Jie-Hong R. Jiang, Luca G. Amarù, Alan Mishchenko, Robert K. Brayton |
| 2021 | DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA. Yukui Luo, Cheng Gongye, Yunsi Fei, Xiaolin Xu |
| 2021 | Designing a 2048-Chiplet, 14336-Core Waferscale Processor. Saptadeep Pal, Jingyang Liu, Irina Alam, Nicholas Cebry, Haris Suhail, Shi Bu, Subramanian S. Iyer, Sudhakar Pamarti, Rakesh Kumar, Puneet Gupta |
| 2021 | DirectFuzz: Automated Test Generation for RTL Designs using Directed Graybox Fuzzing. Sadullah Canakci, Leila Delshadtehrani, Furkan Eris, Michael Bedford Taylor, Manuel Egele, Ajay Joshi |
| 2021 | Distilling Arbitration Logic from Traces using Machine Learning: A Case Study on NoC. Yuan Zhou, Hanyu Wang, Jieming Yin, Zhiru Zhang |
| 2021 | Distributed Memory Guard: Enabling Secure Enclave Computing in NoC-based Architectures. Ghada Dessouky, Mihailo Isakov, Michel A. Kinsy, Pouya Mahmoody, Miguel Mark, Ahmad-Reza Sadeghi, Emmanuel Stapf, Shaza Zeitouni |
| 2021 | DyGNN: Algorithm and Architecture Support of Dynamic Pruning for Graph Neural Networks. Cen Chen, Kenli Li, Xiaofeng Zou, Yangfan Li |
| 2021 | Dynamic Chip Clustering and Task Allocation for Real-time Flash. Gyeongtaek Kim, Sungjin Lee, Hoon Sung Chwa |
| 2021 | EImprove - Optimizing Energy and Comfort in Buildings based on Formal Semantics and Reinforcement Learning. Sagar Verma, Supriya Agrawal, R. Venkatesh, Ulka Shrotri, Srinarayana Nagarathinam, Rajesh Jayaprakash, Aabriti Dutta |
| 2021 | EMGraph: Fast Learning-Based Electromigration Analysis for Multi-Segment Interconnect Using Graph Convolution Networks. Wentian Jin, Liang Chen, Sheriff Sadiqbatcha, Shaoyi Peng, Sheldon X.-D. Tan |
| 2021 | Eco-feller: Minimizing the Energy Consumption of Random Forest Algorithm by an Eco-pruning Strategy over MLC NVRAM. Yu-Pei Liang, Yung-Han Hsu, Tseng-Yi Chen, Shuo-Han Chen, Hsin-Wen Wei, Tsan-sheng Hsu, Wei-Kuan Shih |
| 2021 | Efficient Error-Correcting-Code Mechanism for High-Throughput Memristive Processing-in-Memory. Orian Leitersdorf, Ben Perach, Ronny Ronen, Shahar Kvatinsky |
| 2021 | Efficient Implementation of Finite Field Arithmetic for Binary Ring-LWE Post-Quantum Cryptography Through a Novel Lookup-Table-Like Method. Jiafeng Xie, Pengzhou He, Wujie Wen |
| 2021 | Efficient Tunstall Decoder for Deep Neural Network Compression. Chunyun Chen, Zhe Wang, Xiaowei Chen, Jie Lin, Mohamed M. Sabry Aly |
| 2021 | Enabling On-Device Model Personalization for Ventricular Arrhythmias Detection by Generative Adversarial Networks. Zhenge Jia, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu |
| 2021 | Enabling On-Device Self-Supervised Contrastive Learning with Selective Data Contrast. Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu |
| 2021 | Enabling the Design of Behavioral Systems-on-Chip. Santosh Shetty, Benjamin Carrión Schäfer |
| 2021 | Exact Neural Networks from Inexact Multipliers via Fibonacci Weight Encoding. William Andrew Simon, Valérian Ray, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, David Atienza |
| 2021 | F-CAD: A Framework to Explore Hardware Accelerators for Codec Avatar Decoding. Xiaofan Zhang, Dawei Wang, Pierce Chuang, Shugao Ma, Deming Chen, Yuecheng Li |
| 2021 | F3D: Accelerating 3D Convolutional Neural Networks in Frequency Space Using ReRAM. Bosheng Liu, Zhuoshen Jiang, Jigang Wu, Xiaoming Chen, Yinhe Han, Peng Liu |
| 2021 | FALCON Down: Breaking FALCON Post-Quantum Signature Scheme through Side-Channel Attacks. Emre Karabulut, Aydin Aysu |
| 2021 | FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism. Je Yang, Seongmin Hong, Joo-Young Kim |
| 2021 | Fault-free: A Fault-resilient Deep Neural Network Accelerator based on Realistic ReRAM Devices. Hyein Shin, Myeonggu Kang, Lee-Sup Kim |
| 2021 | FedLight: Federated Reinforcement Learning for Autonomous Multi-Intersection Traffic Signal Control. Yutong Ye, Wupan Zhao, Tongquan Wei, Shiyan Hu, Mingsong Chen |
| 2021 | Formulating Data-arrival Synchronizers in Integer Linear Programming for CGRA Mapping. Yijiang Guo, Jiarui Wang, Jiaxi Zhang, Guojie Luo |
| 2021 | Fortifying RTL Locking Against Oracle-Less (Untrusted Foundry) and Oracle-Guided Attacks. Nimisha Limaye, Animesh Basak Chowdhury, Christian Pilato, Mohammed Thari Nabeel, Ozgur Sinanoglu, Siddharth Garg, Ramesh Karri |
| 2021 | GCiM: A Near-Data Processing Accelerator for Graph Construction. Lei He, Cheng Liu, Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li |
| 2021 | GNN4IP: Graph Neural Network for Hardware Intellectual Property Piracy Detection. Rozhin Yasaei, Shih-Yuan Yu, Emad Kasaeyan Naeini, Mohammad Abdullah Al Faruque |
| 2021 | GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks. Jacob R. Stevens, Dipankar Das, Sasikanth Avancha, Bharat Kaul, Anand Raghunathan |
| 2021 | GPU-accelerated Path-based Timing Analysis. Guannan Guo, Tsung-Wei Huang, Yibo Lin, Martin D. F. Wong |
| 2021 | GRAPHSPY: Fused Program Semantic Embedding through Graph Neural Networks for Memory Efficiency. Yixin Guo, Pengcheng Li, Yingwei Luo, Xiaolin Wang, Zhenlin Wang |
| 2021 | Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration. Hasan Genc, Seah Kim, Alon Amid, Ameer Haj-Ali, Vighnesh Iyer, Pranav Prakash, Jerry Zhao, Daniel Grubb, Harrison Liew, Howard Mao, Albert J. Ou, Colin Schmidt, Samuel Steffl, John Charles Wright, Ion Stoica, Jonathan Ragan-Kelley, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao |
| 2021 | General Chair's Message. Harry Foster |
| 2021 | HADFL: Heterogeneity-aware Decentralized Federated Learning Framework. Jing Cao, Zirui Lian, Weihong Liu, Zongwei Zhu, Cheng Ji |
| 2021 | HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao |
| 2021 | HLock: Locking IPs at the High-Level Language. Md Rafid Muttaki, Roshanak Mohammadivojdan, Mark Tehranipoor, Farimah Farahmandi |
| 2021 | Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration. Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen |
| 2021 | Heterogeneous Monolithic 3D ICs: EDA Solutions, and Power, Performance, Cost Tradeoffs. Sai Surya Kiran Pentapati, Sung Kyu Lim |
| 2021 | High-Performance FPGA-based Accelerator for Bayesian Neural Networks. Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk |
| 2021 | I/O-GUARD: Hardware/Software Co-Design for I/O Virtualization with Guaranteed Real-time Performance. Zhe Jiang, Kecheng Yang, Yunfeng Ma, Nathan Fisher, Neil C. Audsley, Zheng Dong |
| 2021 | INVITED: kCC-Net for Compression of Biomedical Image Segmentation Networks. Suraj Mishra, Danny Z. Chen, X. Sharon Hu |
| 2021 | ISA Modeling with Trace Notation for Context Free Property Generation. Keerthikumara Devarajegowda, Endri Kaja, Sebastian Siegfried Prebeck, Wolfgang Ecker |
| 2021 | In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu |
| 2021 | InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin |
| 2021 | Interactive Analog Layout Editing with Instant Placement Legalization. Xiaohan Gao, Mingjie Liu, David Z. Pan, Yibo Lin |
| 2021 | Invited- NVCell: Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning. Haoxing Ren, Matthew Fojtik |
| 2021 | Invited: Accelerating Fully Homomorphic Encryption with Processing in Memory. Saransh Gupta, Tajana Simunic Rosing |
| 2021 | Invited: Bambu: an Open-Source Research Framework for the High-Level Synthesis of Complex Applications. Fabrizio Ferrandi, Vito Giovanni Castellana, Serena Curzel, Pietro Fezzardi, Michele Fiorito, Marco Lattuada, Marco Minutoli, Christian Pilato, Antonino Tumeo |
| 2021 | Invited: Drug Discovery Approaches using Quantum Machine Learning. Junde Li, Mahabubul Alam, Congzhou M. Sha, Jian Wang, Nikolay V. Dokholyan, Swaroop Ghosh |
| 2021 | Invited: End-to-End Secure SoC Lifecycle Management. Md Sami Ul Islam Sami, Fahim Rahman, Farimah Farahmandi, Adam Cron, Mike Borza, Mark Tehranipoor |
| 2021 | Invited: Getting the Most out of your Circuits with Heterogeneous Logic Synthesis. Scott Temple, Walter Lau Neto, Ashton Snelgrove, Xifan Tang, Pierre-Emmanuel Gaillardon |
| 2021 | Invited: Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography. Dewen Zeng, Yukun Ding, Haiyun Yuan, Meiping Huang, Xiaowei Xu, Jian Zhuang, Jingtong Hu, Yiyu Shi |
| 2021 | Invited: Hardware/Software Co-Synthesis and Co-Optimization for Autonomous Systems. Wanli Chang, Shuai Zhao, Simon Burton, Haitong Wang, Ting Chen, Nan Chen, Neil C. Audsley |
| 2021 | Invited: Independent Verification and Validation of Security-Aware EDA Tools and IP. Benjamin Tan, Siddharth Garg, Ramesh Karri, Yuntao Liu, Michael Zuzak, Abhisek Chakraborty, Ankur Srivastava, Omid Aramoon, Qian Xu, Gang Qu, Adam A. Porter, Jeno Szep, Warren Savage |
| 2021 | Invited: Security Beyond Bulk Silicon: Opportunities and Challenges of Emerging Devices. Lejla Batina, Rosario Cammarota, Nele Mentens, Ahmad-Reza Sadeghi, Johanna Sepúlveda, Shaza Zeitouni |
| 2021 | Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities. Shaoshan Liu, Bo Yu, Jie Tang, Qi Zhu |
| 2021 | Invited: Trainable Discrete Feature Embeddings for Quantum Machine Learning. Napat Thumwanit, Chayaphol Lortaraprasert, Rudy Raymond |
| 2021 | JPDHeap: A JVM Heap Design for PM-DRAM Memories. Litong You, Tianxiao Gu, Shengan Zheng, Jianmei Guo, Sanhong Li, Yuting Chen, Linpeng Huang |
| 2021 | KV-SSD: What Is It Good For? Manoj Pravakar Saha, Adnan Maruf, Bryan S. Kim, Janki Bhimani |
| 2021 | LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies. Mohanad Odema, Nafiul Rashid, Berken Utku Demirel, Mohammad Abdullah Al Faruque |
| 2021 | LUT-Based Optimization For ASIC Design Flow. Luca Gaetano Amarù, Vinicius N. Possani, Eleonora Testa, Felipe S. Marranghello, Christopher Casares, Jiong Luo, Patrick Vuillod, Alan Mishchenko, Giovanni De Micheli |
| 2021 | Late Breaking Results: An Effective Legalization Algorithm for Heterogeneous FPGAs with Complex Constraints. Zhipeng Huang, Haokai Sun, Huimin Wang, Ziran Zhu, Jun Yu, Jianli Chen |
| 2021 | Late Breaking Results: Attention in Graph2Seq Neural Networks towards Push-Button Analog IC Placement. António Gusmão, Nuno Horta, Nuno Lourenço, Ricardo Martins |
| 2021 | Late Breaking Results: Heterogeneous Circuit Layout Centerline Extraction for Mask Verification. Xiqiong Bai, Ziran Zhu, Peng Zou, Lichong Sun, Jianli Chen |
| 2021 | Late Breaking Results: Incremental 3D Global Routing Considering Cell Movement. Peng Zou, Zhifeng Lin, Chenyue Ma, Jun Yu, Jianli Chen |
| 2021 | Late Breaking Results: Novel Discrete Dynamic Filled Function Algorithm for Acyclic Graph Partitioning. Jianli Chen, Jiarui Chen, Xiao Shi, Lichong Sun, Jun Yu |
| 2021 | Late Breaking Results: Parallelizing Net Routing with cGANs. Dmitry Utyamishev, Inna Partin-Vaisband |
| 2021 | Late Breaking Results: Physical Adversarial Attacks of Diffractive Deep Neural Networks. Yingjie Li, Cunxi Yu |
| 2021 | Late Breaking Results: Polynomial Formal Verification of Fast Adders. Alireza Mahzoon, Rolf Drechsler |
| 2021 | Late Breaking Results: Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks. Xavier Timoneda, Lukas Cavigelli |
| 2021 | Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach. Aryan Deshwal, Syrine Belakaria, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande |
| 2021 | Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks. Sai Kiran Cherupally, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, Jae-sun Seo |
| 2021 | Load-Step: A Precise TrustZone Execution Control Framework for Exploring New Side-channel Attacks Like Flush+Evict. Zili Kou, Wenjian He, Sharad Sinha, Wei Zhang |
| 2021 | Local Bayesian Optimization For Analog Circuit Sizing. Konstantinos Touloupas, Nikos Chouridis, Paul P. Sotiriadis |
| 2021 | LolliRAM: A Cross-Layer Design to Exploit Data Locality in Oblivious RAM. Yi Wang, Weixuan Chen, Xianhua Wang, Rui Mao |
| 2021 | Low-Cost Lithography Hotspot Detection with Active Entropy Sampling and Model Calibration. Yifeng Xiao, Miaodi Su, Haoyu Yang, Jianli Chen, Jun Yu, Bei Yu |
| 2021 | Low-Cost and Effective Fault-Tolerance Enhancement Techniques for Emerging Memories-Based Deep Neural Networks. Thai-Hoang Nguyen, Muhammad Imran, Jaehyuk Choi, Joon-Sung Yang |
| 2021 | MAT: Processing In-Memory Acceleration for Long-Sequence Attention. Minxuan Zhou, Yunhui Guo, Weihong Xu, Bin Li, Kevin W. Eliceiri, Tajana Rosing |
| 2021 | MEGATRON: Software-Managed Device TLB for Shared-Memory FPGA Virtualization. Yanqiang Liu, Jiacheng Ma, Zhengjun Zhang, Linsheng Li, Zhengwei Qi, Haibing Guan |
| 2021 | MELOPPR: Software/Hardware Co-design for Memory-efficient Low-latency Personalized PageRank. Lixiang Li, Yao Chen, Zacharie Zirnheld, Pan Li, Cong Hao |
| 2021 | Max-PIM: Fast and Efficient Max/Min Searching in DRAM. Fan Zhang, Shaahin Angizi, Deliang Fan |
| 2021 | Micro-bumping, Hybrid Bonding, or Monolithic? A PPA Study for Heterogeneous 3D IC Options. Jinwoo Kim, Lingjun Zhu, Hakki Mert Torun, Madhavan Swaminathan, Sung Kyu Lim |
| 2021 | Mitigating Crosstalk in Quantum Computers through Commutativity-Based Instruction Reordering. Lei Xie, Jidong Zhai, Weimin Zheng |
| 2021 | MobileSwap: Cross-Device Memory Swapping for Mobile Devices. Changlong Li, Liang Shi, Chun Jason Xue |
| 2021 | Move-On-Modify: An Efficient yet Crash-Consistent Update Strategy for Interlaced Magnetic Recording. Yuhong Liang, Ming-Chang Yang |
| 2021 | MyML: User-Driven Machine Learning. Vidushi Goyal, Valeria Bertacco, Reetuparna Das |
| 2021 | NAAS: Neural Accelerator Architecture Search. Yujun Lin, Mengtian Yang, Song Han |
| 2021 | Network-on-Interposer Design for Agile Neural-Network Processor Chip Customization. Mengdi Wang, Ying Wang, Cheng Liu, Lei Zhang |
| 2021 | NeurFill: Migrating Full-Chip CMP Simulators to Neural Networks for Model-Based Dummy Filling Synthesis. Junzhe Cai, Changhao Yan, Yuzhe Ma, Bei Yu, Dian Zhou, Xuan Zeng |
| 2021 | Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles. Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin |
| 2021 | Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu |
| 2021 | New Predictor-Based Attacks in Processors. Shuwen Deng, Jakub Szefer |
| 2021 | New Regular Expressions on Old Accelerators. Jackson Woodruff, Michael F. P. O'Boyle |
| 2021 | Noise-Robust Deep Spiking Neural Networks with Temporal Information. Seongsik Park, Dongjin Lee, Sungroh Yoon |
| 2021 | Obfuscated Priority Assignment to CAN-FD Messages with Dependencies: A Swapping-based and Affix-Matching Approach. Guoqi Xie, Debayan Roy, Yawen Zhang, Renfa Li, Wanli Chang |
| 2021 | On The Efficiency of Sparse-Tiled Tensor Graph Processing For Low Memory Usage. Antonio Cipolletta, Andrea Calimera |
| 2021 | On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks. Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy |
| 2021 | On-device Malware Detection using Performance-Aware and Robust Collaborative Learning. Sanket Shukla, Sai Manoj P. D., Gaurav Kolhe, Setareh Rafatirad |
| 2021 | OpenMem: Hardware/Software Cooperative Management for Mobile Memory System. Fei Wen, Mian Qin, Paul Gratz, A. L. Narasimha Reddy |
| 2021 | Optimal Memory Allocation and Scheduling for DMA Data Transfers under the LET Paradigm. Paolo Pazzaglia, Daniel Casini, Alessandro Biondi, Marco Di Natale |
| 2021 | Optimized Polynomial Multiplier Architectures for Post-Quantum KEM Saber. Andrea Basso, Sujoy Sinha Roy |
| 2021 | Optimizing ADC Utilization through Value-Aware Bypass in ReRAM-based DNN Accelerator. HanCheon Yun, Hyein Shin, Myeonggu Kang, Lee-Sup Kim |
| 2021 | PAVFuzz: State-Sensitive Fuzz Testing of Protocols in Autonomous Vehicles. Feilong Zuo, Zhengxiong Luo, Junze Yu, Zhe Liu, Yu Jiang |
| 2021 | PETRI: Reducing Bandwidth Requirement in Smart Surveillance by Edge-Cloud Collaborative Adaptive Frame Clustering and Pipelined Bidirectional Tracking. Ruoyang Liu, Lu Zhang, Jingyu Wang, Huazhong Yang, Yongpan Liu |
| 2021 | PIM-Quantifier: A Processing-in-Memory Platform for mRNA Quantification. Fan Zhang, Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan |
| 2021 | PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration. Tao Yang, Dongyue Li, Yibo Han, Yilong Zhao, Fangxin Liu, Xiaoyao Liang, Zhezhi He, Li Jiang |
| 2021 | PRID: Model Inversion Privacy Attacks in Hyperdimensional Learning Systems. Alejandro Hernández-Cano, Rosario Cammarota, Mohsen Imani |
| 2021 | PRUID: Practical User Interface Distribution for Multi-surface Computing. Menglong Cui, Mingsong Lv, Qingqiang He, Caiqi Zhang, Chuancai Gu, Tao Yang, Nan Guan |
| 2021 | PSC-TG: RTL Power Side-Channel Leakage Assessment with Test Pattern Generation. Tao Zhang, Jungmin Park, Mark Tehranipoor, Farimah Farahmandi |
| 2021 | Performance-Driven Simultaneous Partitioning and Routing for Multi-FPGA Systems. Ming-Hung Chen, Yao-Wen Chang, Junjie Wang |
| 2021 | PixelSieve: Towards Efficient Activity Analysis From Compressed Video Streams. Yongchen Wang, Ying Wang, Huawei Li, Xiaowei Li |
| 2021 | PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning. Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Y. Siu, Stuart F. Oberman, Saad Godil, Bryan Catanzaro |
| 2021 | Prioritized Reinforcement Learning for Analog Circuit Optimization With Design Knowledge. Karthik Somayaji N. S., Hanbin Hu, Peng Li |
| 2021 | Privacy-Preserving Medical Image Segmentation via Hybrid Trusted Execution Environment. Song Bian, Weiwen Jiang, Takashi Sato |
| 2021 | Property-driven Automatic Generation of Reduced-ISA Hardware. Nathaniel Bleier, John Sartori, Rakesh Kumar |
| 2021 | Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino |
| 2021 | Pruning of Deep Neural Networks for Fault-Tolerant Memristor-based Accelerators. Ching-Yuan Chen, Krishnendu Chakrabarty |
| 2021 | QECOOL: On-Line Quantum Error Correction with a Superconducting Decoder for Surface Code. Yosuke Ueno, Masaaki Kondo, Masamitsu Tanaka, Yasunari Suzuki, Yutaka Tabuchi |
| 2021 | Quantifying Rowhammer Vulnerability for DRAM Security. Yichen Jiang, Huifeng Zhu, Dean Sullivan, Xiaolong Guo, Xuan Zhang, Yier Jin |
| 2021 | Quantum Spectral Clustering of Mixed Graphs. Daniel Volya, Prabhat Mishra |
| 2021 | RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna |
| 2021 | REST: Constructing Rectilinear Steiner Minimum Tree via Reinforcement Learning. Jinwei Liu, Gengjie Chen, Evangeline F. Y. Young |
| 2021 | RL-Sizer: VLSI Gate Sizing for Timing Optimization using Deep Reinforcement Learning. Yi-Chen Lu, Siddhartha Nath, Vishal Khandelwal, Sung Kyu Lim |
| 2021 | ROLoad: Securing Sensitive Operations with Pointee Integrity. Wende Tan, Yuan Li, Chao Zhang, Xingman Chen, Songtao Yang, Ying Liu, Jianping Wu |
| 2021 | RePIM: Joint Exploitation of Activation and Weight Repetitions for In-ReRAM DNN Acceleration. Chen-Yang Tsai, Chin-Fu Nien, Tz-Ching Yu, Hung-Yu Yeh, Hsiang-Yun Cheng |
| 2021 | RegHD: Robust and Efficient Regression in Hyper-Dimensional Learning System. Alejandro Hernández-Cano, Cheng Zhuo, Xunzhao Yin, Mohsen Imani |
| 2021 | Reinforcement Learning-Assisted Cache Cleaning to Mitigate Long-Tail Latency in DM-SMR. Yungang Pan, Zhiping Jia, Zhaoyan Shen, Bingzhe Li, Wanli Chang, Zili Shao |
| 2021 | Reptail: Cutting Storage Tail Latency with Inherent Redundancy. Yun-Chih Chen, Chun-Feng Wu, Yuan-Hao Chang, Tei-Wei Kuo |
| 2021 | Requirement Specification, Analysis and Verification for Autonomous Systems. Alessandro Pinto |
| 2021 | Reversible Gating Architecture for Rare Failure Detection of Analog and Mixed-Signal Circuits. Myung Seok Shim, Hanbin Hu, Peng Li |
| 2021 | Rewrite to Reinforce: Rewriting the Binary to Apply Countermeasures against Fault Injection. Pantea Kiaei, Cees-Bart Breunesse, Mohsen Ahmadi, Patrick Schaumont, Jasper Van Woudenberg |
| 2021 | RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity. Behzad Boroujerdian, Radhika Ghosal, Jonathan J. Cruz, Brian Plancher, Vijay Janapa Reddi |
| 2021 | SACReD: An Attack Framework on SAC Resistant Delay-PUFs leveraging Bias and Reliability Factors. Durba Chatterjee, Urbi Chatterjee, Debdeep Mukhopadhyay, Aritra Hazra |
| 2021 | SEALing Neural Network Models in Encrypted Deep Learning Accelerators. Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie |
| 2021 | SFLU: Synchronization-Free Sparse LU Factorization for Fast Circuit Simulation on GPUs. Jianqi Zhao, Yao Wen, Yuchen Luo, Zhou Jin, Weifeng Liu, Zhenya Zhou |
| 2021 | SGL: Spectral Graph Learning from Measurements. Zhuo Feng |
| 2021 | SGX-FPGA: Trusted Execution Environment for CPU-FPGA Heterogeneous Architecture. Ke Xia, Yukui Luo, Xiaolin Xu, Sheng Wei |
| 2021 | SHORE: Hardware/Software Method for Memory Safety Acceleration on RISC-V. Hsu-Kang Dow, Tuo Li, William Miles, Sri Parameswaran |
| 2021 | SLAP: A Supervised Learning Approach for Priority Cuts Technology Mapping. Walter Lau Neto, Matheus T. Moreira, Yingjie Li, Luca G. Amarù, Cunxi Yu, Pierre-Emmanuel Gaillardon |
| 2021 | SPROUT - Smart Power ROUting Tool for Board-Level Exploration and Prototyping. Rassul Bairamkulov, Abinash Roy, Mali Nagarajan, Vaishnav Srinivas, Eby G. Friedman |
| 2021 | ST Vijay Kandiah, Ali Murat Gök, Georgios Tziantzioulis, Nikos Hardavellas |
| 2021 | Safety in Autonomous Driving: Can Tools Offer Guarantees? Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia |
| 2021 | Scalable Pitch-Constrained Neural Processing Unit for 3D Integration with Event-Based Imagers. Maxence Bouvier, Alexandre Valentian, Gilles Sicard |
| 2021 | Scaling Deep-Learning Inference with Chiplet-based Architecture and Photonic Interconnects. Yuan Li, Ahmed Louri, Avinash Karanth |
| 2021 | Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAs. Alberto Parravicini, Luca Giuseppe Cellamare, Marco Siracusa, Marco D. Santambrogio |
| 2021 | SeMPE: Secure Multi Path Execution Architecture for Removing Conditional Branch Side Channels. Andrea Mondelli, Paul Gazzillo, Yan Solihin |
| 2021 | Secure Logic Locking with Strain-Protected Nanomagnet Logic. Naimul Hassan, Alexander J. Edwards, Dhritiman Bhattacharya, Mustafa M. Shihab, Varun Venkat, Peng Zhou, Xuan Hu, Shamik Kundu, Abraham Peedikayil Kuruvila, Kanad Basu, Jayasimha Atulasimha, Yiorgos Makris, Joseph S. Friedman |
| 2021 | Securing Hardware via Dynamic Obfuscation Utilizing Reconfigurable Interconnect and Logic Blocks. Gaurav Kolhe, Soheil Salehi, Tyler David Sheaves, Houman Homayoun, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan |
| 2021 | Sensitivity Importance Sampling Yield Analysis and Optimization for High Sigma Failure Rate Estimation. Wenfei Hu, Zhikai Wang, Sen Yin, Zuochang Ye, Yan Wang |
| 2021 | Shortest Path to Secured Hardware: Domain Oriented Masking with High-Level-Synthesis. Rajat Sadhukhan, Sayandeep Saha, Debdeep Mukhopadhyay |
| 2021 | Simultaneous Pre- and Free-assignment Routing for Multiple Redistribution Layers with Irregular Vias. Yu-Jie Cai, Yang Hsu, Yao-Wen Chang |
| 2021 | Skew-Oblivious Data Routing for Data Intensive Applications on FPGAs with HLS. Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen |
| 2021 | SmartBoost: Lightweight ML-Driven Boosting for Thermally-Constrained Many-Core Processors. Martin Rapp, Mohammed Bakr Sikal, Heba Khdr, Jörg Henkel |
| 2021 | SoCCAR: Detecting System-on-Chip Security Violations Under Asynchronous Resets. Xingyu Meng, Kshitij Raj, Atul Prasad Deb Nath, Kanad Basu, Sandip Ray |
| 2021 | Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers. Jacob R. Stevens, Rangharajan Venkatesan, Steve Dai, Brucek Khailany, Anand Raghunathan |
| 2021 | SpV8: Pursuing Optimal Vectorization and Regular Computation Pattern in SpMV. Chenyang Li, Tian Xia, Wenzhe Zhao, Nanning Zheng, Pengju Ren |
| 2021 | SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2021 | SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments. Rachmad Vidya Wicaksana Putra, Muhammad Shafique |
| 2021 | Statheros: Compiler for Efficient Low-Precision Probabilistic Programming. Jacob Laurel, Rem Yang, Atharva Sehgal, Shubham Ugare, Sasa Misailovic |
| 2021 | StocHD: Stochastic Hyperdimensional System for Efficient and Robust Learning from Raw Data. Prathyush Poduval, Zhuowen Zou, M. Hassan Najafi, Houman Homayoun, Mohsen Imani |
| 2021 | Subresolution Assist Feature Insertion by Variational Adversarial Active Learning and Clustering with Data Point Retrieval. Sean Shang-En Tseng, Iris Hui-Ru Jiang, James P. Shiely |
| 2021 | Synergically Rebalancing Parallel Execution via DCT and Turbo Boosting. Sandro M. Marques, Thiarles S. Medeiros, Fábio Diniz Rossi, Marcelo Caggiani Luizelli, Antonio Carlos Schneider Beck, Arthur Francisco Lorenzon |
| 2021 | Synthesizing Barrier Certificates of Neural Network Controlled Continuous Systems via Approximations. Meng Sha, Xin Chen, Yuzhe Ji, Qingye Zhao, Zhengfeng Yang, Wang Lin, Enyi Tang, Qiguang Chen, Xuandong Li |
| 2021 | TAIT: One-Shot Full-Integer Lightweight DNN Quantization via Tunable Activation Imbalance Transfer. Weixiong Jiang, Heng Yu, Xinzhe Liu, Hao Sun, Rui Li, Yajun Ha |
| 2021 | TARe: Task-Adaptive in-situ ReRAM Computing for Graph Learning. Yintao He, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li |
| 2021 | TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers. Nguyen-Dong Ho, Ik-Joon Chang |
| 2021 | Tamper-Resistant Optical Logic Circuits Based on Integrated Nanophotonics. Jun Shiomi, Shuya Kotsugi, Boyu Dong, Hidetoshi Onodera, Akihiko Shinya, Masaya Notomi |
| 2021 | TensorLib: A Spatial Accelerator Generation Framework for Tensor Algebra. Liancheng Jia, Zizhang Luo, Liqiang Lu, Yun Liang |
| 2021 | Theory-Specific Proof Steps Witnessing Correctness of SMT Executions. Rodrigo Otoni, Martin Blicha, Patrick Eugster, Antti E. J. Hyvärinen, Natasha Sharygina |
| 2021 | TinyML: Current Progress, Research Challenges, and Future Roadmap. Muhammad Shafique, Theocharis Theocharides, Vijay Janapa Reddi, Boris Murmann |
| 2021 | Topology Agnostic Virtual Channel Assignment and Protocol Level Deadlock Avoidance in a Network-on-Chip. Anup Gangwar, Ravishankar Sreedharan, Ambica Prasad, Nitin Kumar Agarwal, Sri Harsha Gade |
| 2021 | Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation. Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay |
| 2021 | Towards Reliable Spatial Memory Safety for Embedded Software by Combining Checked C with Concolic Testing. Sören Tempel, Vladimir Herdt, Rolf Drechsler |
| 2021 | Towards Resilient Deployment of In-Memory Neural Networks with High Throughput. Baogang Zhang, Rickard Ewetz |
| 2021 | Training Acceleration for Deep Neural Networks: A Hybrid Parallelization Strategy. Zihao Zeng, Chubo Liu, Zhuo Tang, Wanli Chang, Kenli Li |
| 2021 | Trust-Region Method with Deep Reinforcement Learning in Analog Design Space Exploration. Kai-En Yang, Chia-Yu Tsai, Hung-Hao Shen, Chen-Feng Chiang, Feng-Ming Tsai, Chung-An Wang, Yiju Ting, Chia-Shun Yeh, Chin-Tang Lai |
| 2021 | Two-Stage Neural Network Classifier for the Data Imbalance Problem with Application to Hotspot Detection. Bingshu Wang, Lanfan Jiang, Wenxing Zhu, Longkun Guo, Jianli Chen, Yao-Wen Chang |
| 2021 | UMOC: Unified Modular Ordering Constraints to Unify Cycle- and Register-Transfer-Level Modeling. Shunning Jiang, Yanghui Ou, Peitian Pan, Christopher Batten |
| 2021 | UPTPU: Improving Energy Efficiency of a Tensor Processing Unit through Underutilization Based Power-Gating. Pramesh Pandey, Noel Daniel Gundi, Koushik Chakraborty, Sanghamitra Roy |
| 2021 | Ultra-Fast CGRA Scheduling to Enable Run Time, Programmable CGRAs. Jinho Lee, Trevor E. Carlson |
| 2021 | Ultrafast CPU/GPU Kernels for Density Accumulation in Placement. Zizheng Guo, Jing Mai, Yibo Lin |
| 2021 | Universal Symmetry Constraint Extraction for Analog and Mixed-Signal Circuits with Graph Neural Networks. Hao Chen, Keren Zhu, Mingjie Liu, Xiyuan Tang, Nan Sun, David Z. Pan |
| 2021 | VLSI Structure-aware Placement for Convolutional Neural Network Accelerator Units. Yun Chou, Jhih-Wei Hsu, Yao-Wen Chang, Tung-Chieh Chen |
| 2021 | ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems. Shuo Huai, Lei Zhang, Di Liu, Weichen Liu, Ravi Subramaniam |
| 2021 | gGuard: Enabling Leakage-Resilient Memory Isolation in GPU-accelerated Autonomous Embedded Systems. Yaswanth Yadlapalli, Husheng Zhou, Yuqun Zhang, Cong Liu |
| 2021 | qSeq: Full Algorithmic and Tool Support for Synthesizing Sequential Circuits in Superconducting SFQ Technology. Ghasem Pasandi, Massoud Pedram |