Search results for "accelerators"

Hits ?▲	Authors	Title	Venue	Year	Link
12	Karen Wintersperger, Hila Safi, Wolfgang Mauerer	QPU-System Co-design for Quantum HPC Accelerators.	ARCS	2022	DBLP DOI BibTeX RDF
12	Arko Dutt, Suprojit Nandy, Mohamed M. Sabry	Pearl: Towards Optimization of DNN-accelerators Via Closed-Form Analytical Representation.	ASP-DAC	2022	DBLP DOI BibTeX RDF
12	Md Tanvir Arafin	Computation-in-Memory Accelerators for Secure Graph Database: Opportunities and Challenges.	ASP-DAC	2022	DBLP DOI BibTeX RDF
12	Anlan Yu, Ning Lyu, Wujie Wen, Zhiyuan Yan	Reliable Memristive Neural Network Accelerators Based on Early Denoising and Sparsity Induction.	ASP-DAC	2022	DBLP DOI BibTeX RDF
12	M. Imtiaz Rashid, Benjamin Carrión Schäfer	Improving the Quality of Hardware Accelerators through automatic Behavioral Input Language Conversion in HLS.	ASP-DAC	2022	DBLP DOI BibTeX RDF
12	Min Tang, Sheng Liu 0001	A dynamic computational memory address architecture for systolic array CNN accelerators.	HPCC/DSS/SmartCity/DependSys	2022	DBLP DOI BibTeX RDF
12	Linghao Song, Yuze Chi, Jason Cong	PYXIS: An Open-Source Performance Dataset Of Sparse Accelerators.	ICASSP	2022	DBLP DOI BibTeX RDF
12	Wan Ju Huang, Hsiao-Wen Fu, Tsung-Chu Huang	AN-HRNS: AN-Coded Hierarchical Residue Number System for Reliable Neural Network Accelerators.	ATS	2022	DBLP DOI BibTeX RDF
12	Giuliano Canzonieri, Salvatore Monteleone, Maurizio Palesi, Enrico Russo, Davide Patti	Analyzing the Impact of DNN Hardware Accelerators-Oriented Compression Techniques on General-Purpose Low-End Boards.	MobiWIS	2022	DBLP DOI BibTeX RDF
12	Tsunato Nakai, Daisuke Suzuki, Takeshi Fujino	Towards Isolated AI Accelerators with OP-TEE on SoC-FPGAs.	ACNS Workshops	2022	DBLP DOI BibTeX RDF
12	Martha Barker, Stephen A. Edwards, Martha A. Kim	Synthesized In-BramGarbage Collection for Accelerators with Immutable Memory.	FPL	2022	DBLP DOI BibTeX RDF
12	Cecilia Latotzke, Tim Ciesielski, Tobias Gemmeke	Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA.	FPL	2022	DBLP DOI BibTeX RDF
12	Patrick Plagwitz, Frank Hannig, Jürgen Teich	TRAC: Compilation-Based Design of Transformer Accelerators for FPGAs.	FPL	2022	DBLP DOI BibTeX RDF
12	Babar Khan, Carsten Heinz, Andreas Koch 0001	DeLiBA: An Open-Source Hardware/Software Framework for the Development of Linux Block I/O Accelerators.	FPL	2022	DBLP DOI BibTeX RDF
12	Axel Stjerngren, Perry Gibson, José Cano 0001	Bifrost: End-to-End Evaluation and optimization of Reconfigurable DNN Accelerators.	ISPASS	2022	DBLP DOI BibTeX RDF
12	Mark Horeni, Pooria Taheri, Po-An Tsai, Angshuman Parashar, Joel S. Emer, Siddharth Joshi	Ruby: Improving Hardware Efficiency for Tensor Algebra Accelerators Through Imperfect Factorization.	ISPASS	2022	DBLP DOI BibTeX RDF
12	Zikang Chen, Xiangcong Kong, Xiaoying Zheng, Yongxin Zhu 0001, Tom Trigano	Parallel Pileup Correction for Nuclear Spectrometric Data on Many-Core Accelerators.	SmartCom	2022	DBLP DOI BibTeX RDF
12	Roman Huzyuk, Fanny Spagnolo, Fabio Frustaci	Designing Low-Power and High-Speed FPGA-Based Binary Decision Tree Hardware Accelerators.	AII	2022	DBLP DOI BibTeX RDF
12	Brunno A. Abreu, Guilherme Paim, Jorge Castro-Godínez, Mateus Grellert, Sergio Bampi	On the Netlist Gate-level Pruning for Tree-based Machine Learning Accelerators.	LASCAS	2022	DBLP DOI BibTeX RDF
12	Vasileios Leon, Georgios Makris, Sotirios Xydis, Kiamal Z. Pekmestzi, Dimitrios Soudris	MAx-DNN: Multi-Level Arithmetic Approximation for Energy-Efficient DNN Hardware Accelerators.	LASCAS	2022	DBLP DOI BibTeX RDF
12	Weison Lin, Yajun Zhu, Tughrul Arslan	A Dynamically Reconfigurable Column Streaming-based Convolution Engine for Edge AI Accelerators.	ICECS 2022	2022	DBLP DOI BibTeX RDF
12	Gabriele Montanaro, Andrea Galimberti, Ernesto Colizzi, Davide Zoni	Hardware-Software Co-Design of BIKE with HLS-Generated Accelerators.	ICECS 2022	2022	DBLP DOI BibTeX RDF
12	Sarp Özdemir, Mohammad Khasawneh, Smriti Rao, Patrick H. Madden	Kernel Mapping Techniques for Deep Learning Neural Network Accelerators.	ISPD	2022	DBLP DOI BibTeX RDF
12	Emily Lattanzio, Ranyang Zhou, Arman Roohi, Abdallah Khreishah, Durga Misra, Shaahin Angizi	Toward a Behavioral-Level End-to-End Framework for Silicon Photonics Accelerators.	IGSC	2022	DBLP DOI BibTeX RDF
12	Sudeep Pasricha	EDAML 2022 Invited Speaker 10: Hardware/Software Codesign for Optical Deep Learning Accelerators.	IPDPS Workshops	2022	DBLP DOI BibTeX RDF
12	Lena Oden	12th IEEE International Workshop on Accelerators and Hybrid Emerging Systems.	IPDPS Workshops	2022	DBLP DOI BibTeX RDF
12	Enrico Russo, Maurizio Palesi, Davide Patti, Habiba Lahdhiri, Salvatore Monteleone, Giuseppe Ascia, Vincenzo Catania	Combined Application of Approximate Computing Techniques in DNN Hardware Accelerators.	IPDPS Workshops	2022	DBLP DOI BibTeX RDF
12	William Fornaciari	ScaDL 2022 Invited Talk 1: Design of secure power monitors for accelerators, by exploiting ML techniques, in the Euro-HPC TEXTAROSSA project.	IPDPS Workshops	2022	DBLP DOI BibTeX RDF
12	Krishnendu Chakrabarty	EDAML 2022 Invited Speaker 4: Fault Criticality Assessment in AI Accelerators.	IPDPS Workshops	2022	DBLP DOI BibTeX RDF
12	Raveesh Garg, Eric Qin 0001, Francisco Muñoz-Martínez, Robert Guirado, Akshay Jain 0001, Sergi Abadal, José L. Abellán, Manuel E. Acacio, Eduard Alarcón, Sivasankaran Rajamanickam, Tushar Krishna	Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators.	IPDPS	2022	DBLP DOI BibTeX RDF
12	Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Marco Re, Sergio Spanò	Automatic IP Core Generator for FPGA-Based Q-Learning Hardware Accelerators.	ApplePies	2022	DBLP DOI BibTeX RDF
12	Marco Angioli, Marcello Barbirotta, Abdallah Cheikh, Antonio Mastrandrea, Francesco Menichelli, Saeid Jamili, Mauro Olivieri	Contextual Bandits Algorithms for Reconfigurable Hardware Accelerators.	ApplePies	2022	DBLP DOI BibTeX RDF
12	Abhinand Nasari, Hieu Le, Richard Lawrence, Zhenhua He, Xin Yang, Mario Krell, Alex Tsyplikhin, Mahidhar Tatineni, Tim Cockerill, Lisa M. Perez, Dhruva Chakravorty, Honggao Liu	Benchmarking the Performance of Accelerators on National Cyberinfrastructure Resources for Artificial Intelligence / Machine Learning Workloads.	PEARC	2022	DBLP DOI BibTeX RDF
12	Jinho Park, Jaewon Lee, Gain Kim, Hyeon-Min Bae	Bin-Specific Quantization in Spectral-Domain Convolutional Neural Network Accelerators.	AICAS	2022	DBLP DOI BibTeX RDF
12	Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau	MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators.	AICAS	2022	DBLP DOI BibTeX RDF
12	Belal Iqbal, Anuj Grover, Harsh Rawat	A Process and Data Variations Tolerant Capacitive Coupled 10T1C SRAM for In-Memory Compute (IMC) in Deep Neural Network Accelerators.	AICAS	2022	DBLP DOI BibTeX RDF
12	Hsu-Yu Kao, Shih-Hsu Huang	A Behavior-Level Simulation Framework for RRAM-Based Deep Learning Accelerators with Flexible Architecture Configurations.	AICAS	2022	DBLP DOI BibTeX RDF
12	Alin Tisan, Eric Monmasson, Clive Cheong Took	FPGA accelerators HLS-based design of hyper complex LMS filters.	IECON	2022	DBLP DOI BibTeX RDF
12	Ruiqi Chen, Yuhanxiao Ma, Shaodong Zheng, Shizhen Huang, Chao Chen, Jun Yu 0010, Kun Wang 0005	Biological Activity Prediction of GPCR-targeting Ligands on Heterogeneous FPGA-based Accelerators.	FCCM	2022	DBLP DOI BibTeX RDF
12	Louis Ledoux, Marc Casas	A Generator of Numerically-Tailored and High-Throughput Accelerators for Batched GEMMs.	FCCM	2022	DBLP DOI BibTeX RDF
12	Tomoya Yokono, Yoshiro Yamabe, Kenji Tanaka, Yuki Arikawa, Teruaki Ishizaki	FPGA-based Accelerators System with Low Latency Autonomous DMA Engine.	FCCM	2022	DBLP DOI BibTeX RDF
12	Yun Wang, Qiang Liu 0011, Shun Yan	DQI: A Dynamic Quantization Method for Efficient Convolutional Neural Network Inference Accelerators.	FCCM	2022	DBLP DOI BibTeX RDF
12	Jackson Woodruff, Jordi Armengol-Estapé, Sam Ainsworth 0001, Michael F. P. O'Boyle	Bind the gap: compiling real software to hardware FFT accelerators.	PLDI	2022	DBLP DOI BibTeX RDF
12	Yuka Ikarashi, Gilbert Louis Bernstein, Alex Reinking, Hasan Genc, Jonathan Ragan-Kelley	Exocompilation for productive programming of hardware accelerators.	PLDI	2022	DBLP DOI BibTeX RDF
12	Steven Hsu, Amit Agarwal 0001, Mark A. Anders 0001, Arnab Raha, Raymond Sung, Deepak Mathaikutty, Ram Krishnamurthy 0001, James W. Tschanz, Vivek De	2.4GHz, Double-Buffered, 4kb Standard-Cell-Based Register File with Low-Power Mixed-Frequency Clocking for Machine Learning Accelerators.	VLSI Technology and Circuits	2022	DBLP DOI BibTeX RDF
12	Abhishek Khanna, Huacheng Ye, Y. Luo, G. Bajpai, M. San Jose, Wriddhi Chakraborty, Shimeng Yu, Patrick Fay, Suman Datta	BEOL Compatible Ferroelectric Routers for Run-time Reconfigurable Compute-in-Memory Accelerators.	VLSI Technology and Circuits	2022	DBLP DOI BibTeX RDF
12	Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi 0001	Computing-In-Memory Neural Network Accelerators for Safety-Critical Systems: Can Small Device Variations Be Disastrous?	ICCAD	2022	DBLP DOI BibTeX RDF
12	Kang He, Indranil Chakraborty, Cheng Wang, Kaushik Roy 0001	Design Space and Memory Technology Co-Exploration for In-Memory Computing Based Machine Learning Accelerators.	ICCAD	2022	DBLP DOI BibTeX RDF
12	Hyein Shin, Myeonggu Kang, Lee-Sup Kim	Re2fresh: A Framework for Mitigating Read Disturbance in ReRAM-Based DNN Accelerators.	ICCAD	2022	DBLP DOI BibTeX RDF
12	Yun-Chen Lo, Chih-Chen Yeh, Jun-Shen Wu, Chia-Chun Wang, Yu-Chih Tsai, Wen-Chien Ting, Ren-Shuo Liu	ISSA: Input-Skippable, Set-Associative Computing-in-Memory (SA-CIM) Architecture for Neural Network Accelerators.	ICCAD	2022	DBLP DOI BibTeX RDF
12	Qinhan Tan, Aarti Gupta, Sharad Malik	Usage-Based RTL Subsetting for Hardware Accelerators.	ICCAD	2022	DBLP DOI BibTeX RDF
12	Edward Richter, Deming Chen	Qilin: Enabling Performance Analysis and Optimization of Shared-Virtual Memory Systems with FPGA Accelerators.	ICCAD	2022	DBLP DOI BibTeX RDF
12	Yandong Luo, Piyush Kumar, Yu-Ching Liao, William Hwang, Fen Xue, Wilman Tsai, Shan X. Wang, Azad Naeemi, Shimeng Yu	Performance Benchmarking of Spin-Orbit Torque Magnetic RAM (SOT-MRAM) for Deep Neural Network (DNN) Accelerators.	IMW	2022	DBLP DOI BibTeX RDF
12	Abdullah T. Mughrabi, Gregory T. Byrd	CAPI-Precis: Towards a Compute-Centric Interface for Coherent Shared Memory Accelerators.	FPT	2022	DBLP DOI BibTeX RDF
12	Enrico Russo, Maurizio Palesi, Salvatore Monteleone, Davide Patti, Habiba Lahdhiri, Giuseppe Ascia, Vincenzo Catania	Exploiting the Approximate Computing Paradigm with DNN Hardware Accelerators.	MECO	2022	DBLP DOI BibTeX RDF
12	Aleksandr Litvinov, Anne Gardner, Sojen Pradhan, Jeri Childers	The role of empathic experiences of entrepreneurial engineers within accelerators: a phenomenological study.	FIE	2022	DBLP DOI BibTeX RDF
12	Shine Parekkadan Sunny, Satyajit Das	Reinforcement Learning based Efficient Mapping of DNN Models onto Accelerators.	COOL CHIPS	2022	DBLP DOI BibTeX RDF
12	Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Felix Wedlich, Oliver Bringmann 0001	Work-in-Progress: Ultra-fast yet Accurate Performance Prediction for Deep Neural Network Accelerators.	CASES	2022	DBLP DOI BibTeX RDF
12	David J. Schlais, Heng Zhuo, Mikko H. Lipasti	Work-in-Progress: NoRF: A Case Against Register File Operands in Tightly-Coupled Accelerators.	CASES	2022	DBLP DOI BibTeX RDF
12	Arthur Vianès, Frédéric Pétrot, Frédéric Rousseau 0001	A Case for Second-Level Software Cache Coherency on Many-Core Accelerators.	RSP	2022	DBLP DOI BibTeX RDF
12	Xiaoyuan Liu 0001, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro	Partitioning Dense Graphs with Hardware Accelerators.	ICCS (3)	2022	DBLP DOI BibTeX RDF
12	Jung Hwan Heo, Arash Fayyazi, Amirhossein Esmaili, Massoud Pedram	Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators.	ISLPED	2022	DBLP DOI BibTeX RDF
12	Indhumathi Kandaswamy, Saurabh Farkya, Zachary Daniels, Gooitzen van der Wal, Aswin Raghavan, Yuzheng Zhang, Jun Hu, Michael Lomnitz, Michael A. Isnardi, David C. Zhang, Michael R. Piacentino	Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators.	CVPR Workshops	2022	DBLP DOI BibTeX RDF
12	Siddhartha Shankar Das, Mahantesh Halappanavar, Antonino Tumeo, Edoardo Serra, Alex Pothen, Ehab Al-Shaer	VWC-BERT: Scaling Vulnerability-Weakness-Exploit Mapping on Modern AI Accelerators.	IEEE Big Data	2022	DBLP DOI BibTeX RDF
12	Kunyu Zhou, Keni Qiu	REC: REtime convolutional layers in energy harvesting ReRAM-based CNN accelerators.	CF	2022	DBLP DOI BibTeX RDF
12	Andrea Galimberti, Davide Galli, Gabriele Montanaro, William Fornaciari, Davide Zoni	On the use of hardware accelerators in QC-MDPC code-based cryptography.	CF	2022	DBLP DOI BibTeX RDF
12	Yongqi Xue, Jinlun Ji, Xinyi Li, Siyue Li, Shize Zhou, Tong Cheng, Li Li 0003, Yuxiang Fu	AOME: Autonomous Optimal Mapping Exploration Using Reinforcement Learning for NoC-based Accelerators Running Neural Networks.	ICCD	2022	DBLP DOI BibTeX RDF
12	Prashanth H. C., Madhav Rao	SOMALib: Library of Exact and Approximate Activation Functions for Hardware-efficient Neural Network Accelerators.	ICCD	2022	DBLP DOI BibTeX RDF
12	Yahang Hu, Yaohua Wang, Xiaoqiang Dan, Xiao Hu, Fei Liu, Jinpeng Li	Cost-Aware TVM (CAT) Tensorization for Modern Deep Learning Accelerators.	ICCD	2022	DBLP DOI BibTeX RDF
12	Yuhang Li, Mei Wen, Renyu Yang, Junzhong Shen, Yasong Cao, Jianan Wang	S-SIM: A Simulator for Systolic Array-based DNN Accelerators with Tile Access Awareness.	ISCAS	2022	DBLP DOI BibTeX RDF
12	Xiaoling Yi, Jiangnan Yu, Zheng Wu, Xiankui Xiong, Dong Xu 0015, Chixiao Chen, Jun Tao 0001, Fan Yang 0001	NNASIM: An Efficient Event-Driven Simulator for DNN Accelerators with Accurate Timing and Area Models.	ISCAS	2022	DBLP DOI BibTeX RDF
12	Ali Al-Shaarawy, Amirali Amirsoleimani, Roman Genov	PRUNIX: Non-Ideality Aware Convolutional Neural Network Pruning for Memristive Accelerators.	ISCAS	2022	DBLP DOI BibTeX RDF
12	Qiushi Li, Ju Ren 0001, Xinglin Pan, Yuezhi Zhou, Yaoxue Zhang	ENIGMA: Low-Latency and Privacy-Preserving Edge Inference on Heterogeneous Neural Network Accelerators.	ICDCS	2022	DBLP DOI BibTeX RDF
12	Arjun Chaudhuri, Sanmitra Banerjee, Krishnendu Chakrabarty	Structural Test Generation for AI Accelerators using Neural Twins.	IOLTS	2022	DBLP DOI BibTeX RDF
12	Shamik Kundu, Kanad Basu	Detecting Functional Safety Violations in Online AI Accelerators.	IOLTS	2022	DBLP DOI BibTeX RDF
12	Shyue-Kung Lu, Yu-Sheng Wu, Jin-Hua Hong, Kohei Miyase	Fault Resilience Techniques for Flash Memory of DNN Accelerators.	ITC-Asia	2022	DBLP DOI BibTeX RDF
12	Artem Perepelitsyn, Herman Fesenko, Yelyzaveta Kasapien, Vyacheslav Kharchenko	Technological Stack for Implementation of AI as a Service based on Hardware Accelerators.	DESSERT	2022	DBLP DOI BibTeX RDF
12	Kiran Seshadri, Berkin Akin, James Laudon, Ravi Narayanaswami, Amir Yazdanbakhsh	An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks.	IISWC	2022	DBLP DOI BibTeX RDF
12	Weixi Zhu, Guilherme Cox, Ján Veselý, Mark Hairgrove, Alan L. Cox, Scott Rixner	UVM Discard: Eliminating Redundant Memory Transfers for Accelerators.	IISWC	2022	DBLP DOI BibTeX RDF
12	Taha Soliman, Amro Eldebiky, Cecilia De la Parra, Andre Guntoro, Norbert Wehn	Efficient Hardware Approximation for Bit-Decomposition Based Deep Neural Network Accelerators.	SOCC	2022	DBLP DOI BibTeX RDF
12	Francisco Pereira, Gonçalo Matos, Hugo Sadok, Daehyeok Kim, Ruben Martins, Justine Sherry, Fernando M. V. Ramos, Luis Pedrosa	Automatic generation of network function accelerators using component-based synthesis.	SOSR	2022	DBLP DOI BibTeX RDF
12	Hong-Linh Truong 0001, Kostas Magoutis	Robustness via Elasticity Accelerators for the IoT-Edge-Cloud Continuum.	UCC	2022	DBLP DOI BibTeX RDF
12	Maxime Christ, Florent de Dinechin, Frédéric Pétrot	Low-precision logarithmic arithmetic for neural network accelerators.	ASAP	2022	DBLP DOI BibTeX RDF
12	Eashan Wadhwa, Shashwat Khandelwal, Shanker Shreejith	IMEC: A Memory-Efficient Convolution Algorithm For Quantised Neural Network Accelerators.	ASAP	2022	DBLP DOI BibTeX RDF
12	Tongxin Yang, Tomoaki Ukezono, Toshinori Sato	Reducing Power Consumption using Approximate Encoding for CNN Accelerators at the Edge.	ACM Great Lakes Symposium on VLSI	2022	DBLP DOI BibTeX RDF
12	Wanqian Li, Yinhe Han 0001, Xiaoming Chen 0003	Energy-Efficient In-SRAM Accumulation for CMOS-based CNN Accelerators.	ACM Great Lakes Symposium on VLSI	2022	DBLP DOI BibTeX RDF
12	Kaushik Roy 0001	In-Memory Computing based Machine Learning Accelerators: Opportunities and Challenges.	ACM Great Lakes Symposium on VLSI	2022	DBLP DOI BibTeX RDF
12	Rizwan A. Ashraf, Roberto Gioiosa	Exploring the Use of Novel Spatial Accelerators in Scientific Applications.	ICPE	2022	DBLP DOI BibTeX RDF
12	Hyunjeong Kwon, Youngsu Kwon, Jinho Han	Backward Graph Construction and Lowering in DL Compiler for Model Training on AI Accelerators.	ISOCC	2022	DBLP DOI BibTeX RDF
12		HEART 2022: International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, Tsukuba, Japan, June 9 - 10, 2022	HEART	2022	DBLP DOI BibTeX RDF
12	Sebastian Werner 0001, Trever Schirmer	HARDLESS: A Generalized Serverless Compute Architecture for Hardware Processing Accelerators.	IC2E	2022	DBLP DOI BibTeX RDF
12	Arjun Chaudhuri, Jonti Talukdar, Krishnendu Chakrabarty	Special Session: Fault Criticality Assessment in AI Accelerators.	VTS	2022	DBLP DOI BibTeX RDF
12	Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Kanad Basu	Special Session: Effective In-field Testing of Deep Neural Network Hardware Accelerators.	VTS	2022	DBLP DOI BibTeX RDF
12	Kang-Yi Fan, Jyun-Hua Chen, Chien-Nan Liu, Juinn-Dar Huang	Performance Optimization for MLP Accelerators using ILP-Based On-Chip Weight Allocation Strategy.	VLSI-DAT	2022	DBLP DOI BibTeX RDF
12	Che-Chang Yang, Yung-Tai Shih, Chun-Chen Chen, Chih-Tsun Huang, Jing-Jia Liou, Yao-Hua Chen, Juin-Ming Lu	Efficient Segment-wise Pruning for DCNN Inference Accelerators.	VLSI-DAT	2022	DBLP DOI BibTeX RDF
12	Takumi Uezono, Yi He 0010, Yanjing Li	Achieving Automotive Safety Requirements through Functional In-Field Self-Test for Deep Learning Accelerators.	ITC	2022	DBLP DOI BibTeX RDF
12	Shamik Kundu, Akul Malhotra, Arnab Raha, Sumeet Kumar Gupta, Kanad Basu	RIBoNN: Designing Robust In-Memory Binary Neural Network Accelerators.	ITC	2022	DBLP DOI BibTeX RDF
12	Shyue-Kung Lu, Yu-Sheng Wu, Jin-Hua Hong, Kohei Miyase	Fault Resilience Techniques for Flash Memory of DNN Accelerators.	ITC	2022	DBLP DOI BibTeX RDF
12	Qinghao Hu, Gang Li 0015, Qiman Wu, Jian Cheng 0001	PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators.	ECCV (11)	2022	DBLP DOI BibTeX RDF
12	Luca Fedeli, Axel Huebl, France Boillod-Cerneux, Thomas Clark, Kevin Gott, Conrad Hillairet, Stephan Jaure, Adrien Leblanc, Rémi Lehe, Andrew Myers 0001, Christelle Piechurski, Mitsuhisa Sato, Neïl Zaïm, Weiqun Zhang, Jean-Luc Vay, Henri Vincenti	Pushing the Frontier in the Design of Laser-Based Electron Accelerators with Groundbreaking Mesh-Refined Particle-In-Cell Simulations on Exascale-Class Supercomputers.	SC	2022	DBLP DOI BibTeX RDF