Search results for "accelerators"

Hits ?▲	Authors	Title	Venue	Year	Link
12	Seunghwan Sung, Sujin Hur, Sungwoo Kim, Dongho Ha, Yunho Oh, Won Woo Ro	MAD MAcce: Supporting Multiply-Add Operations for Democratizing Matrix-Multiplication Accelerators.	MICRO	2023	DBLP DOI BibTeX RDF
12	Nandeeka Nayak, Toluwanimi O. Odemuyiwa, Shubham Ugare, Christopher W. Fletcher, Michael Pellauer, Joel S. Emer	TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators.	MICRO	2023	DBLP DOI BibTeX RDF
12	Faiz Alam, Hyokeun Lee, Abhishek Bhattacharjee, Amro Awad	CryptoMMU: Enabling Scalable and Secure Access Control of Third-Party Accelerators.	MICRO	2023	DBLP DOI BibTeX RDF
12	Kyungmi Lee, Mengjia Yan 0001, Joel S. Emer, Anantha P. Chandrakasan	SecureLoop: Design Space Exploration of Secure DNN Accelerators.	MICRO	2023	DBLP DOI BibTeX RDF
12	Aman Sinha, Pei-Yi Liu, Yuhao Fang, Jhih-Yong Mai, Bo-Cheng Lai	GRONA : A Framework for Gather-and-Reduce On Near-Memory Accelerators.	MCSoC	2023	DBLP DOI BibTeX RDF
12	Hyuk-Jin Jeong, JiHwan Yeo, Cheongyo Bahk, JongHyun Park	Pin or Fuse? Exploiting Scratchpad Memory to Reduce Off-Chip Data Transfer in DNN Accelerators.	CGO	2023	DBLP DOI BibTeX RDF
12	Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee	SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators.	HPCA	2023	DBLP DOI BibTeX RDF
12	Sungyeob Yoo, Hyunsung Kim, Jinseok Kim, Sunghyun Park, Joo-Young Kim 0001, Jinwook Oh	LightTrader: A Standalone High-Frequency Trading System with Deep Learning Inference Accelerators and Proactive Scheduler.	HPCA	2023	DBLP DOI BibTeX RDF
12	Linyan Mei, Koen Goetschalckx, Arne Symons, Marian Verhelst	DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling.	HPCA	2023	DBLP DOI BibTeX RDF
12	Chirag Sakhuja, Zhan Shi, Calvin Lin	Leveraging Domain Information for the Efficient Automated Design of Deep Learning Accelerators.	HPCA	2023	DBLP DOI BibTeX RDF
12	Bokyung Kim, Shiyu Li, Hai Li 0001	INCA: Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators.	HPCA	2023	DBLP DOI BibTeX RDF
12	Dionysios Diamantopoulos, Burkhard Ringlein, Beat Weiss, Mark A. Lantz, François Abel	Composability of Cloud Accelerators in Virtual World Simulations.	CLOUD	2023	DBLP DOI BibTeX RDF
12	Fabio Pavanello, Cédric Marchand 0002, Ian O'Connor, Régis Orobtchouk, Fabien Mandorlo, Xavier Letartre, Sébastien Cueff, Elena Ioana Vatajelu, Giorgio Di Natale, Benoit Cluzel, Aurelien Coillet, Benoît Charbonnier, Pierre Noe, Frantisek Kavan, Martin Zoldak, Michal Szaj, Peter Bienstman, Thomas Van Vaerenbergh, Ulrich Rührmair, Paulo F. Flores, Luís Guerra e Silva, Ricardo Chaves, Luís Miguel Silveira, Mariano Ceccato, Dimitris Gizopoulos, George Papadimitriou 0001, Vasileios Karakostas, Axel Brando, Francisco J. Cazorla, Ramon Canal, Pau Closas, Adria Gusi-Amigo, Paolo Crovetti, Alessio Carpegna, Tzamn Melendez Carmona, Stefano Di Carlo, Alessandro Savino	EUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS.	ETS	2023	DBLP DOI BibTeX RDF
12	Prashanthi S. K, Vinayaka Hegde, Keerthana Patchava, Ankita Das, Yogesh Simmhan	Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators.	HiPC	2023	DBLP DOI BibTeX RDF
12	Chao Qian 0009, Tianheng Ling, Gregor Schiele	Energy Efficient LSTM Accelerators for Embedded FPGAs Through Parameterised Architecture Design.	ARCS	2023	DBLP DOI BibTeX RDF
12	Fritjof Steinert, Benno Stabernack	FPGA-Based Network-Attached Accelerators - An Environmental Life Cycle Perspective.	ARCS	2023	DBLP DOI BibTeX RDF
12	Tom Glint, Kailash Prasad, Jinay Dagli, Krishil Gandhi, Aryan Gupta, Vrajesh Patel, Neel Shah, Joycee Mekie	Hardware-Software Codesign of DNN Accelerators Using Approximate Posit Multipliers.	ASP-DAC	2023	DBLP DOI BibTeX RDF
12	Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu	In-Memory Computing Accelerators for Emerging Learning Paradigms.	ASP-DAC	2023	DBLP DOI BibTeX RDF
12	Prattay Chowdhury, Jorge Castro-Godínez, Benjamin Carrion Schafer	Approximating HW Accelerators through Partial Extractions onto Shared Artificial Neural Networks.	ASP-DAC	2023	DBLP DOI BibTeX RDF
12	Susmita Dey Manasi, Suvadeep Banerjee, Abhijit Davare, Anton A. Sorokin, Steven M. Burns, Desmond A. Kirkpatrick, Sachin S. Sapatnekar	Reusing GEMM Hardware for Efficient Execution of Depthwise Separable Convolution on ASIC-Based DNN Accelerators.	ASP-DAC	2023	DBLP DOI BibTeX RDF
12	Shantian Qin, Wenming Li, Zhihua Fan, Zhen Wang, Tianyu Liu, Haibin Wu, Kunming Zhang, Xuejun An, Xiaochun Ye, Dongrui Fan	ROMA: A Reconfigurable On-chip Memory Architecture for Multi-core Accelerators.	HPCC/DSS/SmartCity/DependSys	2023	DBLP DOI BibTeX RDF
12	Chengzhen Yang, Song Jin, Jianhuang Shen, Zhuo Wang	On Tolerating Variations and Faults in Memristor Crossbar Based Neural Network Accelerators by Network Expansion and Weight Zeroing.	ATS	2023	DBLP DOI BibTeX RDF
12	Sarbartha Banerjee	Triton: Software-Defined Threat Model for Secure Multi-Tenant ML Inference Accelerators.	HASP@MICRO	2023	DBLP DOI BibTeX RDF
12	Pablo Antonio Martínez, Jackson Woodruff, Jordi Armengol-Estapé, Gregorio Bernabé, José Manuel García 0001, Michael F. P. O'Boyle	Matching Linear Algebra and Tensor Code to Specialized Hardware Accelerators.	CC	2023	DBLP DOI BibTeX RDF
12	Markus Fritscher, Alessandro Veronesi, Andrea Baroni, Jianan Wen, Thorsten Spätling, Mamathamba Kalishettyhalli Mahadevaiah, Norbert Herfurth, Eduardo Perez, Markus Ulbricht 0002, Marc Reichenbach, Amelie Hagelauer, Milos Krstic	Prototyping Reconfigurable RRAM-Based AI Accelerators Using the RISC-V Ecosystem and Digital Twins.	ISC Workshops	2023	DBLP DOI BibTeX RDF
12	Yehonatan Fridman, Guy Tamir, Gal Oren 0001	Portability and Scalability of OpenMP Offloading on State-of-the-Art Accelerators.	ISC Workshops	2023	DBLP DOI BibTeX RDF
12	Felix Jentzsch	Hardware-Aware AutoML for Exploration of Custom FPGA Accelerators for RadioML.	FPL	2023	DBLP DOI BibTeX RDF
12	Vincent Meyers, Michael Hefenbrock, Dennis Gnad, Mehdi Baradaran Tahoori	Remote Identification of Neural Network FPGA Accelerators by Power Fingerprints.	FPL	2023	DBLP DOI BibTeX RDF
12	MohammadHossein Olyaiy, Christopher Ng, Alexandra (Sasha) Fedorova, Mieszko Lis	Sunstone: A Scalable and Versatile Scheduler for Mapping Tensor Algebra on Spatial Accelerators.	ISPASS	2023	DBLP DOI BibTeX RDF
12	Michael Gilbert, Yannan Nellie Wu, Angshuman Parashar, Vivienne Sze, Joel S. Emer	LoopTree: Enabling Exploration of Fused-layer Dataflow Accelerators.	ISPASS	2023	DBLP DOI BibTeX RDF
12	Tom Glint, Chandan Kumar Jha 0001, Manu Awasthi, Joycee Mekie	Analysis of Conventional, Near-Memory, and In-Memory DNN Accelerators.	ISPASS	2023	DBLP DOI BibTeX RDF
12	Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst	Stream: A Modeling Framework for Fine-grained Layer Fusion on Multi-core DNN Accelerators.	ISPASS	2023	DBLP DOI BibTeX RDF
12	Tom Glint, Aryan Gupta, Daniel Giftson, Gaurav Shah, Vrajesh Patel, Ruchit Chudasama, Sukanya More, Joycee Mekie	Impact of Optimal Design Point on Performance Metrics of DNN accelerators in FPGA.	ISPASS	2023	DBLP DOI BibTeX RDF
12	Jiaqi Zhai, Zhaojie Gong, Yueming Wang, Xiao Sun, Zheng Yan 0007, Fu Li, Xing Liu	Revisiting Neural Retrieval on Accelerators.	KDD	2023	DBLP DOI BibTeX RDF
12	Zhen Xie, Siddhisanket Raskar, Murali Emani, Venkatram Vishwanath	TrainBF: High-Performance DNN Training Engine Using BFloat16 on AI Accelerators.	Euro-Par	2023	DBLP DOI BibTeX RDF
12	Emmanouil Kavvousanos, Vasilis Sakellariou, Ioannis Kouretas, Vassilis Paliouras, Thanos Stouraitis	Improving Residue-Level Sparsity in RNS-based Neural Network Hardware Accelerators via Regularization.	ARITH	2023	DBLP DOI BibTeX RDF
12	Alptekin Vardar, Aamir Munir, Nellie Laleni, Sourav De, Thomas Kämpfe	Hardware Aware Spiking Neural Network Training and Its Mixed-Signal Implementation for Non-Volatile In-Memory Computing Accelerators.	ICECS	2023	DBLP DOI BibTeX RDF
12	Nellie Laleni, Taha Soliman, Cecilia De la Parra, Franz Müller 0001, Tobias Kirchner, Andre Guntoro, Thomas Kämpfe, Norbert Wehn, T. Jang	Torwards Variability Immune Scalable FeFET-based Macros for IMC DNN Accelerators.	ICECS	2023	DBLP DOI BibTeX RDF
12	Tim van Lijssel, Alexios Balatsoukas-Stimming	Ergodic Approximate Deep Learning Accelerators.	ACSSC	2023	DBLP DOI BibTeX RDF
12	Steven Shaw, Kanishka Tyagi, Shan Zhang	Teacher-Student Knowledge Distillation for Radar Perception on Embedded Accelerators.	ACSSC	2023	DBLP DOI BibTeX RDF
12	Weison Lin, Xianpo Ni, Tughrul Arslan	Resource-Aware Online Permanent Fault Detection Mechanism for Streaming Convolution Engine in Edge AI Accelerators.	AITest	2023	DBLP DOI BibTeX RDF
12	Maurizio Palesi, Enrico Russo, Abhijit Das 0002, John Jose	Wireless enabled Inter-Chiplet Communication in DNN Hardware Accelerators.	IPDPS Workshops	2023	DBLP DOI BibTeX RDF
12	Lei Lei, Decai Pan, Dajiang Liu, Peng Ouyang, Xueliang Du	Optimizing Memory Allocation for Multi-Subgraph Mapping on Spatial Accelerators.	SYSTOR	2023	DBLP DOI BibTeX RDF
12	Victor J. B. Jung, Arne Symons, Linyan Mei, Marian Verhelst, Luca Benini	SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators.	AICAS	2023	DBLP DOI BibTeX RDF
12	Jianfeng Wang, Zhonghao Chen, Yiming Chen, Yixin Xu, Tianyi Wang, Yao Yu, Vijaykrishnan Narayanan, Sumitha George, Huazhong Yang, Xueqing Li	WeightLock: A Mixed-Grained Weight Encryption Approach Using Local Decrypting Units for Ciphertext Computing in DNN Accelerators.	AICAS	2023	DBLP DOI BibTeX RDF
12	Yannick Braatz, Dennis Sebastian Rieber, Taha Soliman, Oliver Bringmann 0001	Simulation-driven Latency Estimations for Multi-core Machine Learning Accelerators.	AICAS	2023	DBLP DOI BibTeX RDF
12	Lukas Huegle, Martin Gotthard, Vincent Meyers, Jonas Krautter, Dennis R. E. Gnad, Mehdi B. Tahoori	Power2Picture: Using Generative CNNs for Input Recovery of Neural Network Accelerators through Power Side-Channels on FPGAs.	FCCM	2023	DBLP DOI BibTeX RDF
12	Alireza Khataei, Gaurav Singh, Kia Bazargan	Optimizing Hybrid Binary-Unary Hardware Accelerators Using Self-Similarity Measures.	FCCM	2023	DBLP DOI BibTeX RDF
12	Vincent Meyers, Mehdi B. Tahoori	Power Side-Channel Attacks and Defenses for Neural Network Accelerators.	FCCM	2023	DBLP DOI BibTeX RDF
12	Sige Bian, He Li 0008, Chengcheng Wang, Changjun Song, Yongming Tang	MSBF-LSTM: Most-significant Bit-first LSTM Accelerators with Energy Efficiency Optimisations.	FCCM	2023	DBLP DOI BibTeX RDF
12	Hanqiu Chen, Cong Hao	Hardware/Software Co-design for Machine Learning Accelerators.	FCCM	2023	DBLP DOI BibTeX RDF
12	Panagiotis Mousouliotis, Topi Leppänen, Pekka Jääskeläinen, Nikos Petrellis, Panagiotis Christakos, Georgios Keramidas, Christos P. Antonopoulos, Nikolaos S. Voros	On the OpenCL Support for Streaming Fixed-Function Accelerators on Embedded SoC FPGAs.	ARC	2023	DBLP DOI BibTeX RDF
12	Chenhao Jiang, Anand Jayarajan, Hao Lu, Gennady Pekhimenko	Arbitor: A Numerically Accurate Hardware Emulation Tool for DNN Accelerators.	USENIX Annual Technical Conference	2023	DBLP BibTeX RDF
12	Geoffrey W. Burr, Pritish Narayanan, Stefano Ambrogio, Atsuya Okazaki, Hsinyu Tsai, Kohji Hosokawa, Charles Mackin, Akiyo Nomura, Takeo Yasuda, J. Demarest, Kevin Brew, Victor Chan, Samuel Choi, T. Gordon, T. M. Levin, Alexander M. Friz, Masatoshi Ishii, Yasuteru Kohda, An Chen, Andrea Fasoli, Jose Luquin, Nicole Saulnier, S. Teehan, Ishtiaq Ahsan, Vijay Narayanan	Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited).	VLSI Technology and Circuits	2023	DBLP DOI BibTeX RDF
12	Ryangsoo Kim, Jaein Kim, Hark Yoo, Sung Chang Kim	Implementation of deep learning based intelligent image analysis on an edge AI platform using heterogeneous AI accelerators.	ICTC	2023	DBLP DOI BibTeX RDF
12	Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique 0001	Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems.	ICCAD	2023	DBLP DOI BibTeX RDF
12	Xikun Jiang, Zhaoyan Shen, Siqing Sun, Ping Yin, Zhiping Jia, Lei Ju 0001, Zhiyong Zhang, Dongxiao Yu	Runtime Row/Column Activation Pruning for ReRAM-based Processing-in-Memory DNN Accelerators.	ICCAD	2023	DBLP DOI BibTeX RDF
12	Chen Bai, Xuechao Wei, Youwei Zhuo, Yi Cai, Hongzhong Zheng, Bei Yu 0001, Yuan Xie 0001	Klotski: DNN Model Orchestration Framework for Dataflow Architecture Accelerators.	ICCAD	2023	DBLP DOI BibTeX RDF
12	Fuyu Wang, Minghua Shen	Automatic Kernel Generation for Large Language Models on Deep Learning Accelerators.	ICCAD	2023	DBLP DOI BibTeX RDF
12	Andrija Neskovic, Saleh Mulhem, Alexander Treff, Rainer Buchty, Thomas Eisenbarth 0001, Mladen Berekovic	SystemC Model of Power Side-Channel Attacks Against AI Accelerators: Superstition or not?	ICCAD	2023	DBLP DOI BibTeX RDF
12	Xiaochen Hao, Zijian Ding, Jieming Yin, Yuan Wang 0001, Yun Liang 0001	Monad: Towards Cost-Effective Specialization for Chiplet-Based Spatial Accelerators.	ICCAD	2023	DBLP DOI BibTeX RDF
12	Chunxiao Lin, Muhammad Farhan Azmine, Yang Yi	Invited Paper: Accelerating Next-G Wireless Communications with FPGA-Based AI Accelerators.	ICCAD	2023	DBLP DOI BibTeX RDF
12	Zheyu Yan, Yifan Qin, Wujie Wen, Xiaobo Sharon Hu, Yiyu Shi 0001	Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators Through Training with Right-Censored Gaussian Noise.	ICCAD	2023	DBLP DOI BibTeX RDF
12	Gauthaman Murali, Aditya Iyer, Navneeth Ravichandran, Sung Kyu Lim	3DNN-Xplorer: A Machine Learning Framework for Design Space Exploration of Heterogeneous 3D DNN Accelerators.	ICCAD	2023	DBLP DOI BibTeX RDF
12	Cong Gao, Xuqi Zhu, Sangeet Saha, Klaus D. McDonald-Maier, Xiaojun Zhai	Modelling and Analysis of FPGA-based MPSoC System with Multiple DNN Accelerators.	NEWCAS	2023	DBLP DOI BibTeX RDF
12	Casper Cromjongh, Yongding Tian, H. Peter Hofstee, Zaid Al-Ars	Tydi-Chisel: Collaborative and Interface-Driven Data-Streaming Accelerators.	NorCAS	2023	DBLP DOI BibTeX RDF
12	Ahmed M. Mohey, Marko Kosunen, Jussi Ryynänen, Martin Andraud	Toward All-Digital Time-Domain Neural Network Accelerators for In-Sensor Processing Applications.	NorCAS	2023	DBLP DOI BibTeX RDF
12	Fei Gao 0016, Ting-Jung Chang, Ang Li, Marcelo Orenes-Vera, Davide Giri, Paul J. Jackson, August Ning, Georgios Tziantzioulis, Joseph Zuckerman, Jinzheng Tu 0001, Kaifeng Xu, Grigory Chirkov, Gabriele Tombesi, Jonathan Balkind, Margaret Martonosi, Luca P. Carloni, David Wentzlaff	DECADES: A 67mm2, 1.46TOPS, 55 Giga Cache-Coherent 64-bit RISC-V Instructions per second, Heterogeneous Manycore SoC with 109 Tiles including Accelerators, Intelligent Storage, and eFPGA in 12nm FinFET.	CICC	2023	DBLP DOI BibTeX RDF
12	Emanuele Del Sozzo, Davide Conficconi, Kentaro Sano	Journal Track Paper ICFPT 2023 : Across Time and Space: Senju's Approach for Scaling Iterative Stencil Loop Accelerators on Single and Multiple FPGAs.	ICFPT	2023	DBLP DOI BibTeX RDF
12	Kaiwei Zou, Songyun Qu, Wen Li, Ying Wang 0001, Huawei Li 0001, Yongpan Liu	Communication-aware Quantization for Deep Learning Inference Parallelization on Chiplet-based Accelerators.	ICPADS	2023	DBLP DOI BibTeX RDF
12	Shaofeng Zhao, Bo Liu 0057, Fang Wang 0001, Dan Feng 0001, Xiang Chen	TOSA: Tolerating Stuck-At-Faults in Edge-based RRAM Inference Accelerators.	ICPADS	2023	DBLP DOI BibTeX RDF
12	Zhenhua He, Sandra B. Nite, Joshua Winchell, Abhinand Nasari, Hieu Le, Jiao Tao, Dhruva Chakravorty, Lisa Perez, Honggao Liu	Development of a Training Framework for Novel Accelerators.	FIE	2023	DBLP DOI BibTeX RDF
12	Kaitlyn Lee, Brian Donnelly, Tomer Sery, Dan Ilan, Bertrand Cambou, Michael Gowanlock	Evaluating Accelerators for a High-Throughput Hash-Based Security Protocol.	ICPP Workshops	2023	DBLP DOI BibTeX RDF
12	Jize Pang, Lei Gong, Chao Wang 0003, Xuehai Zhou	Sparse-HeteroCL: From Sparse Tensor Algebra to Highly Customized Accelerators on FPGAs.	CCGridW	2023	DBLP DOI BibTeX RDF
12	Utkarsh Saxena, Kaushik Roy 0001	Partial-Sum Quantization for Near ADC-Less Compute-In-Memory Accelerators.	ISLPED	2023	DBLP DOI BibTeX RDF
12	Jef Plochaet, Toon Goedemé	Hardware-Aware Pruning for FPGA Deep Learning Accelerators.	CVPR Workshops	2023	DBLP DOI BibTeX RDF
12	Pooja Joshi, Hafizur Rahaman 0001	A comprehensive review on ReRAM-based accelerators for deep learning.	ISDCS	2023	DBLP DOI BibTeX RDF
12	Giovanni Gozzi, Michele Fiorito, Serena Curzel, Fabrizio Ferrandi	High-Level Synthesis of the OpenMP runtime to improve the generation of parallel accelerators.	CF	2023	DBLP DOI BibTeX RDF
12	Mirco Mannino, Biagio Peccerillo, Andrea Mondelli, Sandro Bartolini	Energy and Performance Improvements for Convolutional Accelerators Using Lightweight Address Translation Support.	CF	2023	DBLP DOI BibTeX RDF
12	Muhammad Waqar Azhar, Stavroula Zouzoula, Pedro Trancoso	ARADA: Adaptive Resource Allocation for Improving Energy Efficiency in Deep Learning Accelerators.	CF	2023	DBLP DOI BibTeX RDF
12	Jie Zhao 0002, Siyuan Feng, Xiaoqiang Dan, Fei Liu, Chengke Wang, Sheng Yuan, Wenyuan Lv, Qikai Xie	Effectively Scheduling Computational Graphs of Deep Neural Networks toward Their Domain-Specific Accelerators.	OSDI	2023	DBLP BibTeX RDF
12	Jinpeng Liu, Wei Tong 0001, Bing Wu 0001, Huan Cheng, Chengning Wang	ICON: An IR Drop Compensation Method at OU Granularity with Low Overhead for eNVM-based Accelerators.	ICCD	2023	DBLP DOI BibTeX RDF
12	Yu-Chih Tsai, Chung-Yueh Liu, Chia-Chun Wang, Tsen-Wei Hsu, Ren-Shuo Liu	CNN Inference Accelerators with Adjustable Feature Map Compression Ratios.	ICCD	2023	DBLP DOI BibTeX RDF
12	Chia-Chun Wang, Yun-Chen Lo, Jun-Shen Wu, Yu-Chih Tsai, Chia-Cheng Chang, Tsen-Wei Hsu, Min-Wei Chu, Chuan-Yao Lai, Ren-Shuo Liu	Exploiting and Enhancing Computation Latency Variability for High-Performance Time-Domain Computing-in-Memory Neural Network Accelerators.	ICCD	2023	DBLP DOI BibTeX RDF
12	Jun-Shen Wu, Ren-Shuo Liu	FM-P2L: An Algorithm Hardware Co-design of Fixed-Point MSBs with Power-of-2 LSBs in CNN Accelerators.	ICCD	2023	DBLP DOI BibTeX RDF
12	Eleonora Vacca, Giorgio Ajmone, Luca Sterpone	RunSAFER: A Novel Runtime Fault Detection Approach for Systolic Array Accelerators.	ICCD	2023	DBLP DOI BibTeX RDF
12	Chia-Wei Chang, Jing-Jia Liou, Chih-Tsun Huang, Wei-Chung Hsu, Juin-Ming Lu	MultiFuse: Efficient Cross Layer Fusion for DNN Accelerators with Multi-level Memory Hierarchy.	ICCD	2023	DBLP DOI BibTeX RDF
12	Jun Yin, Linyan Mei, Andre Guntoro, Marian Verhelst	ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators.	ICCD	2023	DBLP DOI BibTeX RDF
12	Xuhang Wang, Zhuoran Song, Xiaoyao Liang	RealArch: A Real-Time Scheduler for Mapping Multi-Tenant DNNs on Multi-Core Accelerators.	ICCD	2023	DBLP DOI BibTeX RDF
12	Brendan Reidy, Mohammadreza Mohammadi, Mohammed E. Elbtity, Heath Smith, Ramtin Zand	Work in Progress: Real-time Transformer Inference on Edge AI Accelerators.	RTAS	2023	DBLP DOI BibTeX RDF
12	Binqi Sun, Tomasz Kloda, Jiyang Chen, Cen Lu, Marco Caccamo	Schedulability Analysis of Non-preemptive Sporadic Gang Tasks on Hardware Accelerators.	RTAS	2023	DBLP DOI BibTeX RDF
12	Hsinyu Tsai, Pritish Narayanan, Shubham Jain, Stefano Ambrogio, Kohji Hosokawa, Masatoshi Ishii, Charles Mackin, Ching-Tzu Chen, Atsuya Okazaki, Akiyo Nomura, Irem Boybat, Ramachandran Muralidhar, Martin M. Frank, Takeo Yasuda, Alexander M. Friz, Yasuteru Kohda, An Chen, Andrea Fasoli, Malte J. Rasch, Stanislaw Wozniak, Jose Luquin, Vijay Narayanan, Geoffrey W. Burr	Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited).	ISCAS	2023	DBLP DOI BibTeX RDF
12	Georg Rutishauser, Robin Hunziker, Alfio Di Mauro, Sizhen Bian, Luca Benini, Michele Magno	ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications.	ISCAS	2023	DBLP DOI BibTeX RDF
12	Ali Al-Shaarawy, Roman Genov, Amirali Amirsoleimani	SEVDA: Singular Value Decomposition Based Parallel Write Scheme for Memristive CNN Accelerators.	ISCAS	2023	DBLP DOI BibTeX RDF
12	Abrar Abdurrob, Emre Salman, Jack Lombardi	Thermal Integrity of ReRAM-based Near-Memory Computing in 3D Integrated DNN Accelerators.	SOCC	2023	DBLP DOI BibTeX RDF
12	Alperen Bolat, Fahad Siddiqui 0001, Sakir Sezer, Kasim Tasdemir, Rafiullah Khan	Investigation of Communication Overhead of SoC Lookaside Accelerators.	SOCC	2023	DBLP DOI BibTeX RDF
12	Fabian Lesniak, Tanja Harbaum, Jürgen Becker 0001	Approximate Accelerators: A Case Study using Runtime Reconfigurable Processors.	SOCC	2023	DBLP DOI BibTeX RDF
12	Danushka Senarathna, Spyros Tragoudas	Deep Neural Network-Based Accelerators for Repetitive Boolean Logic Evaluation.	SOCC	2023	DBLP DOI BibTeX RDF
12	Zheyu Yan, Yifan Qin, Xiaobo Sharon Hu, Yiyu Shi 0001	On the Viability of Using LLMs for SW/HW Co-Design: An Example in Designing CiM DNN Accelerators.	SOCC	2023	DBLP DOI BibTeX RDF
12	Hana Krichene, Rohit Prasad, Ayoub Mouhagir	AINoC: New Interconnect for Future Deep Neural Network Accelerators.	DASIP	2023	DBLP DOI BibTeX RDF