DAC - RankMe – RankMe

261 papers

Year	Title / Authors
2020	3D CNN Acceleration on FPGA using Hardware-Aware Pruning. Mengshu Sun, Pu Zhao, Mehmet Güngör, Massoud Pedram, Miriam Leeser, Xue Lin
2020	57th ACM/IEEE Design Automation Conference, DAC 2020, San Francisco, CA, USA, July 20-24, 2020
2020	A 90nm 103.14 TOPS/W Binary-Weight Spiking Neural Network CMOS ASIC for Real-Time Object Classification. Po-Yao Chuang, Pai-Yu Tan, Cheng-Wen Wu, Juin-Ming Lu
2020	A Cross-Layer Power and Timing Evaluation Method for Wide Voltage Scaling. Wenjie Fu, Leilei Jin, Ming Ling, Yu Zheng, Longxing Shi
2020	A Device Non-Ideality Resilient Approach for Mapping Neural Networks to Crossbar Arrays. Arman Kazemi, Cristobal Alessandri, Alan C. Seabaugh, Xiaobo Sharon Hu, Michael T. Niemier, Siddharth Joshi
2020	A Formal Approach for Detecting Vulnerabilities to Transient Execution Attacks in Out-of-Order Processors. Mohammad Rahmani Fadiheh, Johannes Müller, Raik Brinkmann, Subhasish Mitra, Dominik Stoffel, Wolfgang Kunz
2020	A History-Based Auto-Tuning Framework for Fast and High-Performance DNN Design on GPU. Jiandong Mu, Mengdi Wang, Lanbo Li, Jun Yang, Wei Lin, Wei Zhang
2020	A Machine Learning Approach for Reliability-Aware Application Mapping for Heterogeneous Multicores. Rafael Billig Tonetto, Hiago Mayk G. de A. Rocha, Gabriel L. Nazar, Antonio Carlos Schneider Beck
2020	A Model Checking-based Analysis Framework for Systems Biology Models. Bing Liu, Sara Safa
2020	A Novel GPU Overdrive Fault Attack. Majid Sabbagh, Yunsi Fei, David R. Kaeli
2020	A Pragmatic Approach to On-device Incremental Learning System with Selective Weight Updates. Jaekang Shin, Seungkyu Choi, Yeongjae Choi, Lee-Sup Kim
2020	A Provably Good Wavelength-Division-Multiplexing-Aware Clustering Algorithm for On-Chip Optical Routing. Yu-Sheng Lu, Sheng-Jung Yu, Yao-Wen Chang
2020	A Robust Exponential Integrator Method for Generic Nonlinear Circuit Simulation. Quan Chen
2020	A Simple Cache Coherence Scheme for Integrated CPU-GPU Systems. Ardhi Wiratama Baskara Yudha, Reza Pulungan, Henry Hoffmann, Yan Solihin
2020	A Two-way SRAM Array based Accelerator for Deep Neural Network On-chip Training. Hongwu Jiang, Shanshi Huang, Xiaochen Peng, Jian-Wei Su, Yen-Chi Chou, Wei-Hsing Huang, Ta-Wei Liu, Ruhui Liu, Meng-Fan Chang, Shimeng Yu
2020	A Versatile and Flexible Chiplet-based System Design for Heterogeneous Manycore Architectures. Hao Zheng, Ke Wang, Ahmed Louri
2020	A-QED Verification of Hardware Accelerators. Eshan Singh, Florian Lonsing, Saranyu Chattopadhyay, Maxwell Strange, Peng Wei, Xiaofan Zhang, Yuan Zhou, Deming Chen, Jason Cong, Priyanka Raina, Zhiru Zhang, Clark W. Barrett, Subhasish Mitra
2020	AHEC: End-to-end Compiler Framework for Privacy-preserving Machine Learning Acceleration. Huili Chen, Rosario Cammarota, Felipe Valencia, Francesco Regazzoni, Farinaz Koushanfar
2020	ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks. Alexander Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen Shankar Nagaraja, Christian Unger, Walter Stechele
2020	ALSRAC: Approximate Logic Synthesis by Resubstitution with Approximate Care Set. Chang Meng, Weikang Qian, Alan Mishchenko
2020	ATUNs: Modular and Scalable Support for Atomic Operations in a Shared Memory Multiprocessor. Andreas Kurth, Samuel Riedel, Florian Zaruba, Torsten Hoefler, Luca Benini
2020	AXI HyperConnect: A Predictable, Hypervisor-level Interconnect for Hardware Accelerators in FPGA SoC. Francesco Restuccia, Alessandro Biondi, Mauro Marinoni, Giorgiomaria Cicero, Giorgio C. Buttazzo
2020	Access Characteristic Guided Partition for Read Performance Improvement on Solid State Drives. Yina Lv, Liang Shi, Qiao Li, Chun Jason Xue, Edwin H.-M. Sha
2020	Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation. Gouranga Charan, Jubin Hazra, Karsten Beckmann, Xiaocong Du, Gokul Krishnan, Rajiv V. Joshi, Nathaniel C. Cady, Yu Cao
2020	AdaSense: Adaptive Low-Power Sensing and Activity Recognition for Wearable Devices. Marina Neseem, Jon Nelson, Sherief Reda
2020	Adaptive Layout Decomposition with Graph Embedding Neural Networks. Wei Li, Jialu Xia, Yuzhe Ma, Jialu Li, Yibo Lin, Bei Yu
2020	Adjoint Transient Sensitivity Analysis for Objective Functions Associated to Many Time Points. Wenfei Hu, Zuochang Ye, Yan Wang
2020	Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference. Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2020	Algorithm/Hardware Co-Design for In-Memory Neural Network Computing with Minimal Peripheral Circuit Overhead. Hyungjun Kim, Yulhwa Kim, Sungju Ryu, Jae-Joon Kim
2020	An Efficient Asynchronous Batch Bayesian Optimization Approach for Analog Circuit Synthesis. Shuhan Zhang, Fan Yang, Dian Zhou, Xuan Zeng
2020	An Efficient Circuit Compilation Flow for Quantum Approximate Optimization Algorithm. Mahabubul Alam, Abdullah Ash-Saki, Swaroop Ghosh
2020	An Efficient Critical Path Generation Algorithm Considering Extensive Path Constraints. Guannan Guo, Tsung-Wei Huang, Chun-Xun Lin, Martin D. F. Wong
2020	An Efficient Deep Learning Accelerator for Compressed Video Analysis. Yongchen Wang, Ying Wang, Huawei Li, Yinhe Han, Xiaowei Li
2020	An Efficient EPIST Algorithm for Global Placement with Non-Integer Multiple-Height Cells Jianli Chen, Zhipeng Huang, Ye Huang, Wenxing Zhu, Jun Yu, Yao-Wen Chang
2020	An Efficient and Robust Yield Optimization Method for High-dimensional SRAM Circuits. Xiaodong Wang, Tianchen Gu, Changhao Yan, Xiulong Wu, Fan Yang, Sheng-Guo Wang, Dian Zhou, Xuan Zeng
2020	Analysis and Optimization of the Implicit Broadcasts in FPGA HLS to Improve Maximum Frequency. Licheng Guo, Jason Lau, Yuze Chi, Jie Wang, Cody Hao Yu, Zhe Chen, Zhiru Zhang, Jason Cong
2020	ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems. Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique
2020	Autonomous Warehouse-Scale Computers. Sundar Dev, David Lo, Liqun Cheng, Parthasarathy Ranganathan
2020	BPNet: Branch-pruned Conditional Neural Network for Systematic Time-accuracy Tradeoff. Kyungchul Park, Chanyoung Oh, Youngmin Yi
2020	BPU: A Blockchain Processing Unit for Accelerated Smart Contract Execution. Tao Lu, Lu Peng
2020	Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Bin Yao, Minyi Guo
2020	Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
2020	Bit Parallel 6T SRAM In-memory Computing with Reconfigurable Bit-Precision. Kyeongho Lee, Jinho Jeong, Sungsoo Cheon, Woong Choi, Jongsun Park
2020	Bit-Parallel Vector Composability for Neural Acceleration. Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh
2020	BitPruner: Network Pruning for Bit-serial Accelerators. Xiandong Zhao, Ying Wang, Cheng Liu, Cong Shi, Kaijie Tu, Lei Zhang
2020	BrezeFlow: Unified Debugger for Android CPU Power Governors and Schedulers on Edge Devices. Alexander Hoffman, Anuj Pathania, Philipp H. Kindt, Samarjit Chakraborty, Tulika Mitra
2020	Building End-to-End IoT Applications with QoS Guarantees. Arne Hamann, Selma Saidi, David Ginthoer, Christian Wietfeld, Dirk Ziegenbein
2020	CAP'NN: Class-Aware Personalized Neural Network Inference. Maedeh Hemmat, Joshua San Miguel, Azadeh Davoodi
2020	CDRing: Reconfigurable Ring Architecture by Exploiting Cycle Decomposition of Torus Topology. Liang Wang, Leibo Liu, Xiaohang Wang, Jie Han, Chenchen Deng, Shaojun Wei
2020	CL(R)Early: An Early-stage DSE Methodology for Cross-Layer Reliability-aware Heterogeneous Embedded Systems. Siva Satyendra Sahoo, Bharadwaj Veeravalli, Akash Kumar
2020	CRAFFT: High Resolution FFT Accelerator In Spintronic Computational RAM. M. Hüsrev Cilasun, Salonik Resch, Zamshed Iqbal Chowdhury, Erin Olson, Masoud Zabihi, Zhengyang Zhao, Thomas Peterson, Jianping Wang, Sachin S. Sapatnekar, Ulya R. Karpuzcu
2020	CUGR: Detailed-Routability-Driven 3D Global Routing with Probabilistic Resource Model. Jinwei Liu, Chak-Wa Pui, Fangzhou Wang, Evangeline F. Y. Young
2020	Camouflage: Hardware-assisted CFI for the ARM Linux kernel. Rémi Denis-Courmont, Hans Liljestrand, Carlos Chinea Perez, Jan-Erik Ekberg
2020	Centaur: Hybrid Processing in On/Off-chip Memory Architecture for Graph Analytics. Abraham Addisie, Valeria Bertacco
2020	Characterization and Applications of Spatial Variation Models for Silicon Microring-Based Optical Transceivers. Yuyang Wang, Jared Hulme, Peng Sun, Mudit Jain, M. Ashkan Seyedi, Marco Fiorentino, Raymond G. Beausoleil, Kwang-Ting Cheng
2020	Circuit Learning for Logic Regression on High Dimensional Boolean Space. Pei-Wei Chen, Yu-Ching Huang, Cheng-Lin Lee, Jie-Hong Roland Jiang
2020	Closing the Design Loop: Bayesian Optimization Assisted Hierarchical Analog Layout Synthesis. Mingjie Liu, Keren Zhu, Xiyuan Tang, Biying Xu, Wei Shi, Nan Sun, David Z. Pan
2020	Closing the RISC-V Compliance Gap: Looking from the Negative Testing Side Vladimir Herdt, Daniel Große, Rolf Drechsler
2020	Clustering Approach for Solving Traveling Salesman Problems via Ising Model Based Solver. Akira Dan, Riu Shimizu, Takeshi Nishikawa, Song Bian, Takashi Sato
2020	Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
2020	CoExe: An Efficient Co-execution Architecture for Real-Time Neural Network Services. Chubo Liu, Kenli Li, Mingcong Song, Jiechen Zhao, Keqin Li, Tao Li, Zihao Zeng
2020	Codar: A Contextual Duration-Aware Qubit Mapping for Various NISQ Devices. Haowei Deng, Yu Zhang, Quanxi Li
2020	CoinPurse: A Device-Assisted File System with Dual Interfaces. Zhe Yang, Youyou Lu, Erci Xu, Jiwu Shu
2020	Compact domain-specific co-processor for accelerating module lattice-based KEM. Jose Maria Bermudo Mera, Furkan Turan, Angshuman Karmakar, Sujoy Sinha Roy, Ingrid Verbauwhede
2020	Content Sifting Storage: Achieving Fast Read for Large-scale Image Dataset Analysis. Yu Liu, Hong Jiang, Yangtao Wang, Ke Zhou, Yifei Liu, Li Liu
2020	Convergence-Aware Neural Network Training. Hyungjun Oh, Yongseung Yu, Giha Ryu, Gunjoo Ahn, Yuri Jeong, Yongjun Park, Jiwon Seo
2020	Creating an Agile Hardware Design Flow. Rick Bahr, Clark W. Barrett, Nikhil Bhagdikar, Alex Carsello, Ross Daly, Caleb Donovick, David Durst, Kayvon Fatahalian, Kathleen Feng, Pat Hanrahan, Teguh Hofstee, Mark Horowitz, Dillon Huff, Fredrik Kjolstad, Taeyoung Kong, Qiaoyi Liu, Makai Mann, Jackson Melchert, Ankita Nayak, Aina Niemetz, Gedeon Nyengele, Priyanka Raina, Stephen Richardson, Rajsekhar Setaluri, Jeff Setter, Kavya Sreedhar, Maxwell Strange, James Thomas, Christopher Torng, Leonard Truong, Nestan Tsiskaridze, Keyi Zhang
2020	CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt
2020	DDOT: Data Driven Online Tuning for energy efficient acceleration. Sotirios Xydis, Eleftherios-Iordanis Christoforidis, Dimitrios Soudris
2020	DECOY: DEflection-Driven HLS-Based Computation Partitioning for Obfuscating Intellectual PropertY. Jianqi Chen, Monir Zaman, Yiorgos Makris, R. D. Shawn Blanton, Subhasish Mitra, Benjamin Carrión Schäfer
2020	DPCP-p: A Distributed Locking Protocol for Parallel Real-Time Tasks. Maolin Yang, Ze-Wei Chen, Xu Jiang, Nan Guan, Hang Lei
2020	DRAMDig: A Knowledge-assisted Tool to Uncover DRAM Address Mapping. Minghua Wang, Zhi Zhang, Yueqiang Cheng, Surya Nepal
2020	DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
2020	DVFS-Based Scrubbing Scheduling for Reliability Maximization on Parallel Tasks in SRAM-based FPGAs. Rui Li, Heng Yu, Weixiong Jiang, Yajun Ha
2020	Dadu-CD: Fast and Efficient Processing-in-Memory Accelerator for Collision Detection. Yuxin Yang, Xiaoming Chen, Yinhe Han
2020	Deep Learning Multi-Channel Fusion Attack Against Side-Channel Protected Hardware. Benjamin Hettwer, Daniel Fennes, Sebastien Leger, Jan Richter-Brockmann, Stefan Gehrer, Tim Güneysu
2020	Deep Learning-Driven Simultaneous Layout Decomposition and Mask Optimization. Wei Zhong, Shuxiang Hu, Yuzhe Ma, Haoyu Yang, Xiuyuan Ma, Bei Yu
2020	Defending Bit-Flip Attack through DNN Weight Reconstruction. Jingtao Li, Adnan Siraj Rakin, Yan Xiong, Liangliang Chang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2020	Developing Privacy-preserving AI Systems: The Lessons learned. Huili Chen, Siam Umar Hussain, Fabian Boemer, Emmanuel Stapf, Ahmad-Reza Sadeghi, Farinaz Koushanfar, Rosario Cammarota
2020	Don't-Care-Based Node Minimization for Threshold Logic Networks. Yung-Chih Chen, Hao-Ju Chang, Li-Cheng Zheng
2020	Dynamic Information Flow Tracking for Embedded Binaries using SystemC-based Virtual Prototypes. Pascal Pieper, Vladimir Herdt, Daniel Große, Rolf Drechsler
2020	EANeM: Energy-Aware Network Stack Management for Mobile Devices. Chungseop Lee, Keonhyuk Lee, Mingoo Kang, Hyukjun Lee
2020	EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions. Yuhong Li, Cong Hao, Xiaofan Zhang, Xinheng Liu, Yao Chen, Jinjun Xiong, Wen-mei W. Hwu, Deming Chen
2020	EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction. Bharath Srinivas Prabakaran, Alberto García Jiménez, Germán Moltó Martínez, Muhammad Shafique
2020	Efficient Multi-Grained Wear Leveling for Inodes of Persistent Memory File Systems. Chaoshu Yang, Duo Liu, Runyu Zhang, Xianzhang Chen, Shun Nie, Fengshun Wang, Qingfeng Zhuge, Edwin H.-M. Sha
2020	Efficiently Exploiting Low Activity Factors to Accelerate RTL Simulation. Scott Beamer, David Donofrio
2020	Eliminating Redundant Computation in Noisy Quantum Computing Simulation. Gushu Li, Yufei Ding, Yuan Xie
2020	Enabling a B Yu-Pei Liang, Tseng-Yi Chen, Ching-Ho Chi, Hsin-Wen Wei, Wei-Kuan Shih
2020	Enhancing Thread-Level Parallelism in Asymmetric Multicores using Transparent Instruction Offloading. Jeckson Dellagostin Souza, Madhavan Manivannan, Miquel Pericàs, Antonio Carlos Schneider Beck
2020	Exploiting Computation Reuse for Stencil Accelerators. Yuze Chi, Jason Cong
2020	Exploiting Zero Data to Reduce Register File and Execution Unit Dynamic Power Consumption in GPGPUs. Ahmad M. Radaideh, Paul V. Gratz
2020	Exploration of Design Space and Runtime Optimization for Affective Computing in Machine Learning Empowered Ultra-Low Power SoC. Yijie Wei, Kofi Otseidu, Jie Gu
2020	Exploring Inherent Sensor Redundancy for Automotive Anomaly Detection. Tianjia He, Lin Zhang, Fanxin Kong, Asif Salekin
2020	Exploring a Bayesian Optimization Framework Compatible with Digital Standard Flow for Soft-Error-Tolerant Circuit. Yan Li, Xiaoyoung Zeng, Zhengqi Gao, Liyu Lin, Jun Tao, Jun Han, Xu Cheng, Mehdi B. Tahoori, Xiaoyang Zeng
2020	Extending the RISC-V ISA for Efficient RNN-based 5G Radio Resource Management. Renzo Andri, Tomas Henriksson, Luca Benini
2020	FCNNLib: An Efficient and Flexible Convolution Algorithm Library on FPGAs. Qingcheng Xiao, Liqiang Lu, Jiaming Xie, Yun Liang
2020	FLOPS: EFficient On-Chip Learning for OPtical Neural Networks Through Stochastic Zeroth-Order Optimization. Jiaqi Gu, Zheng Zhao, Chenghao Feng, Wuxi Li, Ray T. Chen, David Z. Pan
2020	FTDL: A Tailored FPGA-Overlay for Deep Learning with High Scalability. Runbin Shi, Yuhao Ding, Xuechao Wei, He Li, Hang Liu, Hayden Kwok-Hay So, Caiwen Ding
2020	Factored Radix-8 Systolic Array for Tensor Processing. Inayat Ullah, Kashif Inayat, Joon-Sung Yang, Jaeyong Chung
2020	Fast and Accurate Wire Timing Estimation on Tree and Non-Tree Net Structures. Hsien-Han Cheng, Iris Hui-Ru Jiang, Oscar Ou
2020	Flashmark: Watermarking of NOR Flash Memories for Counterfeit Detection. Prawar Poudel, Biswajit Ray, Aleksandar Milenkovic
2020	FlexReduce: Flexible All-reduce for Distributed Deep Learning on Asymmetric Network Topology. Jinho Lee, Inseok Hwang, Soham Shah, Minsik Cho
2020	From Homogeneous to Heterogeneous: Leveraging Deep Learning based Power Analysis across Devices. Fan Zhang, Bin Shao, Guorui Xu, Bolin Yang, Ziqi Yang, Zhan Qin, Kui Ren
2020	GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning. Hanrui Wang, Kuan Wang, Jiacheng Yang, Linxiao Shen, Nan Sun, Hae-Seung Lee, Song Han
2020	GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks. Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim, Aayush Ankit, Kaushik Roy
2020	GPNPU: Enabling Efficient Hardware-Based Direct Convolution with Multi-Precision Support in GPU Tensor Cores. Zhuoran Song, Jianfei Wang, Tianjian Li, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing
2020	GRANNITE: Graph Neural Network Inference for Transferable Power Estimation. Yanqing Zhang, Haoxing Ren, Brucek Khailany
2020	GUI-Enhanced Layout Generation of FFE SST TXs for Fast High-Speed Serial Link Design. Seungho Han, Sungyu Jeong, Chanho Kim, Hong-June Park, Byungsub Kim
2020	HITTSFL: Design of a Cost-Effective HIS-Insensitive TNU-Tolerant and SET-Filterable Latch for Safety-Critical Applications. Aibin Yan, Xiangfeng Feng, Xiaohu Zhao, Hang Zhou, Jie Cui, Zuobin Ying, Patrick Girard, Xiaoqing Wen
2020	Hamiltonian Path Based Mixed-Cell-Height Legalization for Neighbor Diffusion Effect Mitigation. Jianli Chen, Ziran Zhu, Qinghai Liu, Yimin Zhang, Wenxing Zhu, Yao-Wen Chang
2020	Hardware Acceleration of Graph Neural Networks. Adam Auten, Matthew Tomei, Rakesh Kumar
2020	Hardware-Assisted Intellectual Property Protection of Deep Learning Models. Abhishek Chakraborty, Ankit Mondal, Ankur Srivastava
2020	Hardware-assisted Service Live Migration in Resource-limited Edge Computing Systems. Zhe Zhou, Xintong Li, Xiaoyang Wang, Zheng Liang, Guangyu Sun, Guojie Luo
2020	Hawkware: Network Intrusion Detection based on Behavior Analysis with ANNs on an IoT Device. Sunwoo Ahn, Hayoon Yi, Younghan Lee, Whoi Ree Ha, Giyeol Kim, Yunheung Paek
2020	High PE Utilization CNN Accelerator with Channel Fusion Supporting Pattern-Compressed Sparse Neural Networks. Jingyu Wang, Songming Yu, Jinshan Yue, Zhe Yuan, Zhuqing Yuan, Huazhong Yang, Xueqing Li, Yongpan Liu
2020	How to Cut Out Expired Data with Nearly Zero Overhead for Solid-State Drives. Wei-Lin Wang, Tseng-Yi Chen, Yuan-Hao Chang, Hsin-Wen Wei, Wei-Kuan Shih
2020	HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation. Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen
2020	ICS Protocol Fuzzing: Coverage Guided Packet Crack and Generation. Zhengxiong Luo, Feilong Zuo, Yuheng Shen, Xun Jiao, Wanli Chang, Yu Jiang
2020	INCA: INterruptible CNN Accelerator for Multi-tasking in Embedded Robots. Jincheng Yu, Zhilin Xu, Shulin Zeng, Chao Yu, Jiantao Qiu, Chaoyang Shen, Yuanfan Xu, Guohao Dai, Yu Wang, Huazhong Yang
2020	INVITED: A 0.26% BER, Machine-Learning Resistant 10 Vikram B. Suresh, Raghavan Kumar, Sanu Mathew
2020	INVITED: AI Utopia or Dystopia - On Securing AI Platforms. Ghada Dessouky, Patrick Jauernig, Nele Mentens, Ahmad-Reza Sadeghi, Emmanuel Stapf
2020	INVITED: Computation on Sparse Neural Networks and its Implications for Future Hardware. Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie
2020	INVITED: Computational Methods of Biological Exploration. Louis K. Scheffer
2020	INVITED: Efficient Synthesis of Compact Deep Neural Networks. Wenhan Xia, Hongxu Yin, Niraj K. Jha
2020	INVITED: New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. Kartikeya Bhardwaj, Wei Chen, Radu Marculescu
2020	Impeccable Circuits II. Aein Rezaei Shahmirzadi, Shahram Rasoolzadeh, Amir Moradi
2020	Imperceptible Misclassification Attack on Deep Learning Accelerator by Glitch Injection. Wenye Liu, Chip-Hong Chang, Fan Zhang, Xiaoxuan Lou
2020	Improving the Concurrency Performance of Persistent Memory Transactions on Multicores. Qing Wang, Youyou Lu, Zhongjie Wu, Fan Yang, Jiwu Shu
2020	In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview. Kaushik Roy, Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Amogh Agrawal
2020	Input-Dependent Edge-Cloud Mapping of Recurrent Neural Networks Inference. Daniele Jahier Pagliari, Roberta Chiaro, Yukai Chen, Sara Vinco, Enrico Macii, Massimo Poncino
2020	Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices. Yawen Wu, Zhepeng Wang, Zhenge Jia, Yiyu Shi, Jingtong Hu
2020	Invited: Chipyard - An Integrated SoC Research and Implementation Environment. Alon Amid, David Biancolin, Abraham Gonzalez, Daniel Grubb, Sagar Karandikar, Harrison Liew, Albert Magyar, Howard Mao, Albert J. Ou, Nathan Pemberton, Paul Rigge, Colin Schmidt, John Charles Wright, Jerry Zhao, Jonathan Bachrach, Yakun Sophia Shao, Borivoje Nikolic, Krste Asanovic
2020	Invited: Software Defined Accelerators From Learning Tools Environment. Antonino Tumeo, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Vinay Amatya, David Brooks, Gu-Yeon Wei
2020	Just Like the Real Thing: Fast Weak Simulation of Quantum Computation. Stefan Hillmich, Igor L. Markov, Robert Wille
2020	KFR: Optimal Cache Management with K-Framed Reclamation for Drive-Managed SMR Disks. Chenlin Ma, Yi Wang, Zhaoyan Shen, Zili Shao
2020	Kite: A Family of Heterogeneous Interposer Topologies Enabled via Accurate Interconnect Modeling. Srikant Bharadwaj, Jieming Yin, Bradford M. Beckmann, Tushar Krishna
2020	LOFFS: A Low-Overhead File System for Large Flash Memory on Embedded Devices. Runyu Zhang, Duo Liu, Xianzhang Chen, Xiongxiong She, Chaoshu Yang, Yujuan Tan, Zhaoyan Shen, Zili Shao
2020	Latch Clustering for Timing-Power Co-Optimization. Chau-Chin Huang, Gustavo E. Téllez, Gi-Joon Nam, Yao-Wen Chang
2020	Late Breaking Results: A Neural Network that Routes ICs. Dmitry Utyamishev, Inna Partin-Vaisband
2020	Late Breaking Results: An Analytical Timing-Driven Placer for Heterogeneous FPGAs Zhifeng Lin, Yanyue Xie, Gang Qian, Sifei Wang, Jun Yu, Jianli Chen
2020	Late Breaking Results: Automated Hardware Generation of CNN Models on FPGAs. Danielle Tchuinkou Kwadjo, Christophe Bobda
2020	Late Breaking Results: Automatic Adaptive MOM Capacitor Cell Generation for Analog and Mixed-Signal Layout Design. Tzu-Wei Wang, Po-Chang Wu, Mark Po-Hung Lin
2020	Late Breaking Results: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick. Isak Edo Vivancos, Sayeh Sharify, Milos Nikolic, Ciaran Bannon, Mostafa Mahmoud, Alberto Delmas Lascorz, Andreas Moshovos
2020	Late Breaking Results: Can You Hear Me? Towards an Ultra Low-Cost Hearing Screening Device. Nils Heitmann, Philipp H. Kindt, Samarjit Chakraborty
2020	Late Breaking Results: Design Dependent Mega Cell Methodology for Area and Power Optimization. Chien-Pang Lu, Iris Hui-Ru Jiang, Chih-Wen Yang
2020	Late Breaking Results: Enabling Containerized Computing and Orchestration of ROS-based Robotic SW Applications on Cloud-Server-Edge Architectures. Stefano Aldegheri, Nicola Bombieri, Franco Fummi, Simone Girardi, Riccardo Muradore, Nicola Piccinelli
2020	Late Breaking Results: FRIENDS - Finding Related Interesting Events via Neighbor Detection. Raviv Gal, Haim Kermany, Alexander Ivrii, Ziv Nevo, Avi Ziv
2020	Late Breaking Results: LDFSM: A Low-Cost Bit-Stream Generator for Low-Discrepancy Stochastic Computing. Sina Asadi, M. Hassan Najafi
2020	Late Breaking Results: Pole-aware Analog Placement Considering Monotonic Current Flow and Crossing-Wire Minimization. Abhishek Patyal, Hung-Ming Chen, Mark Po-Hung Lin
2020	Late Breaking Results: Reinforcement Learning-based Power Management Policy for Mobile Device Systems. Eunji Kwon, Sodam Han, Yoonho Park, Young Hwan Kim, Seokhyeong Kang
2020	Lattice: An ADC/DAC-less ReRAM-based Processing-In-Memory Architecture for Accelerating Deep Convolution Neural Networks. Qilin Zheng, Zongwei Wang, Zishun Feng, Bonan Yan, Yimao Cai, Ru Huang, Yiran Chen, Chia-Lin Yang, Hai Helen Li
2020	Layer RBER Variation Aware Read Performance Optimization for 3D Flash Memories. Shiqiang Nie, Youtao Zhang, Weiguo Wu, Jun Yang
2020	Learning Concise Models from Long Execution Traces. Natasha Yogananda Jeppu, Thomas F. Melham, Daniel Kroening, John O'Leary
2020	Learning From A Big Brother - Mimicking Neural Networks in Profiled Side-channel Analysis. Daan van der Valk, Marina Krcek, Stjepan Picek, Shivam Bhasin
2020	Learning to Predict IR Drop with Effective Training for ReRAM-based Neural Network Hardware. Sugil Lee, Giju Jung, Mohammed E. Fouda, Jongeun Lee, Ahmed M. Eltawil, Fadi J. Kurdahi
2020	Learning to Quantize Deep Neural Networks: A Competitive-Collaborative Approach. Md Fahim Faysal Khan, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Vijaykrishnan Narayanan
2020	LoPher: SAT-Hardened Logic Embedding on Block Ciphers. Akashdeep Saha, Sayandeep Saha, Siddhartha Chowdhury, Debdeep Mukhopadhyay, Bhargab B. Bhattacharya
2020	MEMTONIC: A Neuromorphic Accelerator for Energy Efficient Deep Learning. Dharanidhar Dang, Sahar Taheri, Bill Lin, Debashis Sahoo
2020	MLParest: Machine Learning based Parasitic Estimation for Custom Circuit Design. Brett Shook, Prateek Bhansali, Chandramouli V. Kashyap, Chirayu Amin, Siddhartha Joshi
2020	Machine Leaming to Set Meta-Heuristic Specific Parameters for High-Level Synthesis Design Space Exploration. Zi Wang, Benjamin Carrión Schäfer
2020	Massively Parallel Approximate Simulation of Hard Quantum Circuits. Igor L. Markov, Aneeqa Fatima, Sergei V. Isakov, Sergio Boixo
2020	Monitoring the Health of Emerging Neural Network Accelerators with Cost-effective Concurrent Test. Qi Liu, Tao Liu, Zihao Liu, Wujie Wen, Chengmo Yang
2020	Multiplicative Complexity of Autosymmetric Functions: Theory and Applications to Security. Anna Bernasconi, Stelvio Cimato, Valentina Ciriani, Maria Chiara Molteni
2020	NACU: A Non-Linear Arithmetic Unit for Neural Networks. Guido Baccelli, Dimitrios Stathis, Ahmed Hemani, Maurizio Martina
2020	Navigator: Dynamic Multi-kernel Scheduling to Improve GPU Performance. Jiho Kim, John Kim, Yongjun Park
2020	Neural Network-Based Side Channel Attacks and Countermeasures. Dimitrios Serpanos, Shengqi Yang, Marilyn Wolf
2020	Non-uniform DNN Structured Subnets Sampling for Dynamic Inference. Li Yang, Zhezhi He, Yu Cao, Deliang Fan
2020	O-2A: Low Overhead DNN Compression with Outlier-Aware Approximation. Nguyen-Dong Ho, Minh-Son Le, Ik-Joon Chang
2020	On Computing Exact WCRT for DAG Tasks†. Jinghao Sun, Feng Li, Nan Guan, Wentao Zhu, Minjie Xiang, Zhishan Guo, Wang Yi
2020	On Countermeasures Against the Thermal Covert Channel Attacks Targeting Many-core Systems. Hengli Huang, Xiaohang Wang, Yingtao Jiang, Amit Kumar Singh, Mei Yang, Letian Huang
2020	On the Security of Strong Memristor-based Physically Unclonable Functions. Shaza Zeitouni, Emmanuel Stapf, Hossein Fereidooni, Ahmad-Reza Sadeghi
2020	Online Adaptive Learning for Runtime Resource Management of Heterogeneous SoCs. Sumit K. Mandal, Ümit Y. Ogras, Janardhan Rao Doppa, Raid Zuhair Ayoub, Michael Kishinevsky, Partha Pratim Pande
2020	Opportunistic Intermittent Control with Safety Guarantees for Autonomous Systems. Chao Huang, Shichao Xu, Zhilu Wang, Shuyue Lan, Wenchao Li, Qi Zhu
2020	PAIR: Pin-aligned In-DRAM ECC architecture using expandability of Reed-Solomon code. Sangmok Jeong, SeungYup Kang, Joon-Sung Yang
2020	PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators. Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma
2020	PEMACx: A Probabilistic Error Analysis Methodology for Adders with Cascaded Approximate Units. Muhammad Abdullah Hanif, Rehan Hafiz, Osman Hasan, Muhammad Shafique
2020	PETNet: Polycount and Energy Trade-off Deep Networks for Producing 3D Objects from Images. Nitthilan Kanappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande
2020	PIM-Assembler: A Processing-in-Memory Platform for Genome Assembly. Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan
2020	PIM-Prune: Fine-Grain DCNN Pruning for Crossbar-Based Process-In-Memory Architecture. Chaoqun Chu, Yanzhi Wang, Yilong Zhao, Xiaolong Ma, Shaokai Ye, Yunyan Hong, Xiaoyao Liang, Yinhe Han, Li Jiang
2020	PISCES: Power-Aware Implementation of SLAM by Customizing Efficient Sparse Algebra. Bahar Asgari, Ramyad Hadidi, Nima Shoghi Ghaleshahi, Hyesoon Kim
2020	ParaGraph: Layout Parasitics and Device Parameter Prediction using Graph Neural Networks. Haoxing Ren, George F. Kokai, Walker J. Turner, Ting-Sheng Ku
2020	PattPIM: A Practical ReRAM-Based DNN Accelerator by Reusing Weight Pattern Repetitions. Yuhao Zhang, Zhiping Jia, Yungang Pan, Hongchao Du, Zhaoyan Shen, Mengying Zhao, Zili Shao
2020	Permutation-Write: Optimizing Write Performance and Energy for Skyrmion Racetrack Memory. Tsun-Yu Yang, Ming-Chang Yang, Jiawei Li, Wang Kang
2020	Predictable Memory-CPU Co-Scheduling with Support for Latency-Sensitive Tasks. Daniel Casini, Paolo Pazzaglia, Alessandro Biondi, Marco Di Natale, Giorgio C. Buttazzo
2020	Prediction Confidence based Low Complexity Gradient Computation for Accelerating DNN Training. Dongyeob Shin, Geonho Kim, Joongho Jo, Jongsun Park
2020	Prive-HD: Privacy-Preserved Hyperdimensional Computing. Behnam Khaleghi, Mohsen Imani, Tajana Rosing
2020	Proactive Aging Mitigation in CGRAs through Utilization-Aware Allocation. Marcelo Brandalero, Bernardo Neuhaus Lignati, Antonio Carlos Schneider Beck, Muhammad Shafique, Michael Hübner
2020	Probabilistic Error Propagation through Approximated Boolean Networks. Jorge Echavarria, Stefan Wildermann, Oliver Keszöcze, Jürgen Teich
2020	Pythia: Intellectual Property Verification in Zero-Knowledge. Dimitris Mouris, Nektarios Georgios Tsoutsos
2020	Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique
2020	Q-PIM: A Genetic Algorithm based Flexible DNN Quantization Method and Application to Processing-In-Memory Platform. Yun Long, Edward Lee, Daehyun Kim, Saibal Mukhopadhyay
2020	R2D3: A Reliability Engine for 3D Parallel Systems. Javad Bagherzadeh, Aporva Amarnath, Jielun Tan, Subhankar Pal, Ronald G. Dreslinski
2020	RELIC-FUN: Logic Identification through Functional Signal Comparisons. James Geist, Travis Meade, Shaojie Zhang, Yier Jin
2020	ROPAD: A Fully Digital Highly Predictive Ring Oscillator Probing Attempt Detector. Seyed Hamidreza Moghadas, Michael Pehl
2020	RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao
2020	RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM Accelerator. Songyun Qu, Bing Li, Ying Wang, Dawen Xu, Xiandong Zhao, Lei Zhang
2020	ReSiPE: ReRAM-based Single-Spiking Processing-In-Memory Engine. Ziru Li, Bonan Yan, Hai Helen Li
2020	ReTriple: Reduction of Redundant Rendering on Android Devices for Performance and Energy Optimizations. Xianfeng Li, Gengchao Li, Xiaole Cui
2020	Realistic Fault Models and Fault Simulation for Quantum Dot Quantum Circuits. Cheng-Yun Hsieh, Chen-Hung Wu, Chia-Hsien Huang, His-Sheng Goan, James Chien-Mo Li
2020	RedCache: Reduced DRAM Caching. Payman Behnam, Mahdi Nazm Bojnordi
2020	Reducing Bit Writes in Non-volatile Main Memory by Similarity-aware Compression. Zhangyu Chen, Yu Hua, Pengfei Zuo, Yuanyuan Sun, Yuncheng Guo
2020	Reducing DRAM Access Latency via Helper Rows. Xin Xin, Youtao Zhang, Jun Yang
2020	Remote Atomic Extension (RAE) for Scalable High Performance Computing. Xi Wang, Brody Williams, John D. Leidel, Alan Ehret, Michel A. Kinsy, Yong Chen
2020	Reuse-trap: Re-purposing Cache Reuse Distance to Defend against Side Channel Leakage. Hongyu Fang, Milos Doroslovacki, Guru Venkataramani
2020	Reverse-Engineering Deep Neural Networks Using Floating-Point Timing Side-Channels. Cheng Gongye, Yunsi Fei, Thomas Wahl
2020	Robust Design of Large Area Flexible Electronics via Compressed Sensing. Leilai Shao, Ting Lei, Tsung-Ching Huang, Zhenan Bao, Kwang-Ting Cheng
2020	Romeo: Conversion and Evaluation of HDL Designs in the Encrypted Domain. Charles Gouert, Nektarios Georgios Tsoutsos
2020	Routing Topology and Time-Division Multiplexing Co-Optimization for Multi-FPGA Systems. Tung-Wei Lin, Wei-Chen Tai, Yu-Cheng Lin, Iris Hui-Ru Jiang
2020	Runtime Trust Evaluation and Hardware Trojan Detection Using On-Chip EM Sensors. Jiaji He, Xiaolong Guo, Haocheng Ma, Yanjiang Liu, Yiqiang Zhao, Yier Jin
2020	S-CDA: A Smart Cloud Disk Allocation Approach in Cloud Block Storage System. Hua Wang, Yang Yang, Ping Huang, Yu Zhang, Ke Zhou, Mengling Tao, Bin Cheng
2020	SAT-Sweeping Enhanced for Logic Synthesis. Luca G. Amarù, Felipe S. Marranghello, Eleonora Testa, Christopher Casares, Vinicius N. Possani, Jiong Luo, Patrick Vuillod, Alan Mishchenko, Giovanni De Micheli
2020	SCA: A Secure CNN Accelerator for Both Training and Inference. Lei Zhao, Youtao Zhang, Jun Yang
2020	SFO: A Scalable Approach to Fanout-Bounded Logic Synthesis for Emerging Technologies. He-Teng Zhang, Jie-Hong R. Jiang
2020	SHIELDeNN: Online Accelerated Framework for Fault-Tolerant Deep Neural Network Architectures. Navid Khoshavi, Arman Roohi, Connor Broyles, Saman Sargolzaei, Yu Bi, David Z. Pan
2020	SIEVE: Speculative Inference on the Edge with Versatile Exportation. Babak Zamirai, Salar Latifi, Pedram Zamirai, Scott A. Mahlke
2020	STC: Significance-aware Transform-based Codec Framework for External Memory Access Reduction. Feng Xiong, Fengbin Tu, Man Shi, Yang Wang, Leibo Liu, Shaojun Wei, Shouyi Yin
2020	Scalable Multi-FPGA Acceleration for Large RNNs with Full Parallelism Levels. Dongup Kwon, Suyeon Hur, Hamin Jang, Eriko Nurvitadhi, Jangwoo Kim
2020	Scenario-Based Soft Real-Time Hybrid Application Mapping for MPSoCs. Jan Spieck, Stefan Wildermann, Jürgen Teich
2020	Seesaw: End-to-end Dynamic Sensing for IoT using Machine Learning. Vidushi Goyal, Valeria Bertacco, Reetuparna Das
2020	SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao
2020	Stannis: Low-Power Acceleration of DNN Training Using Computational Storage Devices. Ali Heydari Gorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou
2020	StatSAT: A Boolean Satisfiability based Attack on Logic-Locked Probabilistic Circuits. Ankit Mondal, Michael Zuzak, Ankur Srivastava
2020	Statistical Timing Analysis considering Multiple-Input Switching. Debjit Sinha, Vasant Rao, Chaitanya Peddawad, Michael H. Wood, Jeffrey G. Hemmett, Suriya Skariah, Patrick Williams
2020	Stealing Your Data from Compressed Machine Learning Models. Nuo Xu, Qi Liu, Tao Liu, Zihao Liu, Xiaochen Guo, Wujie Wen
2020	Symbolic Computer Algebra and SAT Based Information Forwarding for Fully Automatic Divider Verification. Christoph Scholl, Alexander Konrad
2020	T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon
2020	TAEM: Fast Transfer-Aware Effective Loop Mapping for Heterogeneous Resources on CGRA. Mingyang Kou, Jiangyuan Gu, Shaojun Wei, Hailong Yao, Shouyi Yin
2020	TCIM: Triangle Counting Acceleration With Processing-In-MRAM Architecture. Xueyan Wang, Jianlei Yang, Yinglin Zhao, Yingjie Qi, Meichen Liu, Xingzhou Cheng, Xiaotao Jia, Xiaoming Chen, Gang Qu, Weisheng Zhao
2020	TDP-ADMM: A Timing Driven Placement Approach for Superconductive Electronic Circuits Using Alternating Direction Method of Multipliers. Soheil Nazar Shahsavani, Massoud Pedram
2020	TEVoT: Timing Error Modeling of Functional Units under Dynamic Voltage and Temperature Variations. Xun Jiao, Dongning Ma, Wanli Chang, Yu Jiang
2020	TP-GNN: A Graph Neural Network Framework for Tier Partitioning in Monolithic 3D ICs. Yi-Chen Lu, Sai Surya Kiran Pentapati, Lingjun Zhu, Kambiz Samadi, Sung Kyu Lim
2020	TSN-Builder: Enabling Rapid Customization of Resource-Efficient Switches for Time-Sensitive Networking. Jinli Yan, Wei Quan, Xiangrui Yang, Wenwen Fu, Yue Jiang, Hui Yang, Zhigang Sun
2020	TYMER: A Yield-based Performance Model for Timing-speculation SRAM. Shan Shen, Liang Pang, Tianxiang Shao, Ming Ling, Xiao Shi, Longxing Shi
2020	Tail: An Automated and Lightweight Gradient Compression Framework for Distributed Deep Learning. Jinrong Guo, Songlin Hu, Wang Wang, Chunrong Yao, Jizhong Han, Ruixuan Li, Yijun Lu
2020	Taming Unstructured Sparsity on GPUs via Latency-Aware Optimization. Maohua Zhu, Yuan Xie
2020	Tensor Virtualization Technique to Support Efficient Data Reorganization for CNN Accelerators. Donghyun Kang, Soonhoi Ha
2020	The Best of Both Worlds: Combining CUDA Graph with an Image Processing DSL. Bo Qiao, M. Akif Özkan, Jürgen Teich, Frank Hannig
2020	The Power of Simulation for Equivalence Checking in Quantum Computing. Lukas Burgholzer, Robert Wille
2020	The Tao of PAO: Anatomy of a Pin Access Oracle for Detailed Routing. Andrew B. Kahng, Lutong Wang, Bangqi Xu
2020	Tier-Scrubbing: An Adaptive and Tiered Disk Scrubbing Scheme with Improved MTTD and Reduced Cost. Ji Zhang, Yuanzhang Wang, Yangtao Wang, Ke Zhou, Sebastian Schelter, Ping Huang, Bin Cheng, Yongguang Ji
2020	Tight Compression: Compressing CNN Model Tightly Through Unstructured Pruning and Simulated Annealing Based Permutation. Xizi Chen, Jingyang Zhu, Jingbo Jiang, Chi-Ying Tsui
2020	Time Multiplexing via Circuit Folding. Po-Chun Chien, Jie-Hong R. Jiang
2020	Time-Division Multiplexing Based System-Level FPGA Routing for Logic Verification. Peng Zou, Zhifeng Lin, Xiao Shi, Yingjie Wu, Jianli Chen, Jun Yu, Yao-Wen Chang
2020	Timing-Accurate General-Purpose I/O for Multi- and Many-Core Systems: Scheduling and Hardware Support. Shuai Zhao, Zhe Jiang, Xiaotian Dai, Iain Bate, Ibrahim Habli, Wanli Chang
2020	Topological Structure and Physical Layout Codesign for Wavelength-Routed Optical Networks-on-Chip. Yu-Sheng Lu, Sheng-Jung Yu, Yao-Wen Chang
2020	Towards Memory-Efficient Streaming Processing with Counter-Cascading Sketching on FPGA. Minjin Tang, Mei Wen, Junzhong Shen, Xiaolei Zhao, Chunyuan Zhang
2020	Towards Purposeful Design Space Exploration of Heterogeneous CGRAs: Clock Frequency Estimation. Dennis Leander Wolf, Christoph Spang, Christian Hochberger
2020	Towards State-Aware Computation in ReRAM Neural Networks. Yintao He, Ying Wang, Xiandong Zhao, Huawei Li, Xiaowei Li
2020	Transfer Learning-Based Microfluidic Design System for Concentration Generation∗. Weiqing Ji, Tsung-Yi Ho, Hailong Yao
2020	TrojDRL: Evaluation of Backdoor Attacks on Deep Reinforcement Learning. Panagiota Kiourti, Kacper Wardega, Susmit Jha, Wenchao Li
2020	UEFI Firmware Fuzzing with Simics Virtual Platform. Zhenkun Yang, Yuriy Viktorov, Jin Yang, Jiewen Yao, Vincent Zimmer
2020	Unified Architectural Support for Secure and Robust Deep Learning. Mojan Javaheripi, Huili Chen, Farinaz Koushanfar
2020	Utilizing Direct Photocurrent Computation and 2D Kernel Scheduling to Improve In-Sensor-Processing Efficiency. Han Xu, Maimaiti Nazhamaiti, Yidong Liu, Fei Qiao, Qi Wei, Xinjun Liu, Huazhong Yang
2020	VarSim: A Fast and Accurate Variability and Leakage Aware Thermal Simulator. Hameedah Sultan, Smruti R. Sarangi
2020	Vehicular and Edge Computing for Emerging Connected and Autonomous Vehicle Applications. Sabur Baidya, Yu-Jen Ku, Hengyu Zhao, Jishen Zhao, Sujit Dey
2020	Verification for Field-coupled Nanocomputing Circuits. Marcel Walter, Robert Wille, Frank Sill Torres, Daniel Große, Rolf Drechsler
2020	Via-based Redistribution Layer Routing for InFO Packages with Irregular Pad Structures. Hsiang-Ting Wen, Yu-Jie Cai, Yang Hsu, Yao-Wen Chang
2020	WET: Write Efficient Loop Tiling for Non-Volatile Main Memory. Mohammad A. Alshboul, James Tuck, Yan Solihin
2020	Wafer Map Defect Patterns Classification using Deep Selective Learning. Mohamed Baker Alawieh, Duane S. Boning, David Z. Pan
2020	WarningNet: A Deep Learning Platform for Early Warning of Task Failures under Input Perturbation for Reliable Autonomous Platforms. Minah Lee, Burhan Ahmad Mudassar, Taesik Na, Saibal Mukhopadhyay
2020	ZENCO: Zero-bytes based ENCOding for Non-Volatile Buffers in On-Chip Interconnects. Khushboo Rani, Hemangee K. Kapoor