Search results for "accelerators"

Hits ?▲	Authors	Title	Venue	Year	Link
12	Ourania Spantidi, Georgios Zervakis 0001, Iraklis Anagnostopoulos, Jörg Henkel	Energy-efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration.	CoRR	2022	DBLP DOI BibTeX RDF
12	Gonçalo Mordido, Sarath Chandar, François Leduc-Primeau	Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators.	CoRR	2022	DBLP DOI BibTeX RDF
12	Lois Orosa 0001, Skanda Koppula, Yaman Umuroglu, Konstantinos Kanellopoulos, Juan Gómez-Luna, Michaela Blott, Kees A. Vissers, Onur Mutlu	EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators.	CoRR	2022	DBLP BibTeX RDF
12	Sichen Li, Andreas Adelmann	Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators.	CoRR	2022	DBLP DOI BibTeX RDF
12	Bingqian Lu, Zheyu Yan, Yiyu Shi 0001, Shaolei Ren	A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators.	CoRR	2022	DBLP DOI BibTeX RDF
12	Corentin Ferry, Tomofumi Yuki, Steven Derrien, Sanjay V. Rajopadhye	Increasing FPGA Accelerators Memory Bandwidth with a Burst-Friendly Memory Layout.	CoRR	2022	DBLP BibTeX RDF
12	Xiaoyuan Liu 0001, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro	Partitioning Dense Graphs with Hardware Accelerators.	CoRR	2022	DBLP BibTeX RDF
12	Kai Zou, Xike Xie, Qi Li, Deyu Kong	GX-Plug: a Middleware for Plugging Accelerators to Distributed Graph Processing.	CoRR	2022	DBLP DOI BibTeX RDF
12	George Sarantoglou, Adonis Bogris, Charis Mesaritakis, Sergios Theodoridis	Bayesian Photonic Accelerators for Energy Efficient and Noise Robust Neural Processing.	CoRR	2022	DBLP DOI BibTeX RDF
12	Aditya Manglik, Minesh Patel, Haiyu Mao, Behzad Salami 0001, Jisung Park 0001, Lois Orosa 0001, Onur Mutlu	NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators.	CoRR	2022	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.	CoRR	2022	DBLP DOI BibTeX RDF
12	Cecilia Latotzke, Tim Ciesielski, Tobias Gemmeke	Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA.	CoRR	2022	DBLP DOI BibTeX RDF
12	Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi 0001	On the Reliability of Computing-in-Memory Accelerators for Deep Neural Networks.	CoRR	2022	DBLP DOI BibTeX RDF
12	Sairam Sri Vatsavai, Ishan G. Thakkar	Photonic Reconfigurable Accelerators for Efficient Inference of CNNs with Mixed-Sized Tensors.	CoRR	2022	DBLP DOI BibTeX RDF
12	Jianbin Fang, Peng Zhang 0061, Chun Huang, Tao Tang 0001, Kai Lu, Ruibo Wang, Zheng Wang 0001	Programming Bare-Metal Accelerators with Heterogeneous Threading Models: A Case Study of Matrix-3000.	CoRR	2022	DBLP DOI BibTeX RDF
12	Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst	Towards Heterogeneous Multi-core Accelerators Exploiting Fine-grained Scheduling of Layer-Fused Deep Neural Networks.	CoRR	2022	DBLP DOI BibTeX RDF
12	Jingbo Zhou, Xinmiao Zhang	Joint Protection Scheme for Deep Neural Network Hardware Accelerators and Models.	CoRR	2022	DBLP DOI BibTeX RDF
12	Paolo Sylos Labini, Massimo Bernaschi, Francesco Silvestri 0001, Flavio Vella	Blocking Techniques for Sparse Matrix Multiplication on Tensor Accelerators.	CoRR	2022	DBLP BibTeX RDF
12	Karen Wintersperger, Hila Safi, Wolfgang Mauerer	QPU-System Co-Design for Quantum HPC Accelerators.	CoRR	2022	DBLP DOI BibTeX RDF
12	Marco Rios, Flavio Ponzina, Alexandre Levisse, Giovanni Ansaloni, David Atienza	Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference.	CoRR	2022	DBLP DOI BibTeX RDF
12	Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi 0001	SWIM: Selective Write-Verify for Computing-in-Memory Neural Accelerators.	CoRR	2022	DBLP BibTeX RDF
12	Jenna A. Bilbrey, Kristina M. Herman, Henry Sprueill, Sotiris S. Xantheas, Payel Das, Manuel Lopez Roldan, Mike Kraus, Hatem Helal, Sutanay Choudhury	Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators.	CoRR	2022	DBLP DOI BibTeX RDF
12	Dimitrios Danopoulos, Georgios Zervakis 0001, Kostas Siozios, Dimitrios Soudris, Jörg Henkel	AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch.	CoRR	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.	CoRR	2022	DBLP DOI BibTeX RDF
12	Sergi Abadal, Akshay Jain 0001, Robert Guirado, Jorge López-Alonso, Eduard Alarcón	Computing Graph Neural Networks: A Survey from Algorithms to Accelerators.	ACM Comput. Surv.	2022	DBLP DOI BibTeX RDF
12	Mirjam Roessler, Dirk Schneckenberg, Vivek K. Velamuri	Situated Entrepreneurial Cognition in Corporate Incubators and Accelerators: The Business Model as a Boundary Object.	IEEE Trans. Engineering Management	2022	DBLP DOI BibTeX RDF
12	Hamid Zarei, Morteza Rasti Barzoki, Ilkyeong Moon	A Game Theoretic Approach to the Selection, Mentorship, and Investment Decisions of Start-Up Accelerators.	IEEE Trans. Engineering Management	2022	DBLP DOI BibTeX RDF
12	Brendan Galbraith, Rodney McAdam, Stephen Edward Cross	Guest Editorial: Incubators and Accelerators: Integrating Evolving Incubator Models and Learning from the Past.	IEEE Trans. Engineering Management	2022	DBLP DOI BibTeX RDF
12	Jiajun Li, Ahmed Louri	AdaPrune: An Accelerator-Aware Pruning Technique for Sustainable CNN Accelerators.	IEEE Trans. Sustain. Comput.	2022	DBLP DOI BibTeX RDF
12	Zihan Jiang, Jiansong Li, Fangxin Liu, Wanling Gao, Lei Wang 0004, Chuanxin Lan, Fei Tang, Lei Liu 0030, Tao Li	A systematic study on benchmarking AI inference accelerators.	CCF Trans. High Perform. Comput.	2022	DBLP DOI BibTeX RDF
12	Simei Yang, Debjyoti Bhattacharjee, Vinay B. Y. Kumar, Saikat Chatterjee, Sayandip De, Peter Debacker, Diederik Verkest, Arindam Mallik, Francky Catthoor	AERO: Design Space Exploration Framework for Resource-Constrained CNN Mapping on Tile-Based Accelerators.	IEEE J. Emerg. Sel. Topics Circuits Syst.	2022	DBLP DOI BibTeX RDF
12	Brunno Abreu, Mateus Grellert, Sergio Bampi	A framework for designing power-efficient inference accelerators in tree-based learning applications.	Eng. Appl. Artif. Intell.	2022	DBLP DOI BibTeX RDF
12	Tim Fritzmann, Michiel Van Beirendonck, Debapriya Basu Roy, Patrick Karl, Thomas Schamberger, Ingrid Verbauwhede, Georg Sigl	Masked Accelerators and Instruction Set Extensions for Post-Quantum Cryptography.	IACR Trans. Cryptogr. Hardw. Embed. Syst.	2022	DBLP DOI BibTeX RDF
12	Carsten Heinz, Andreas Koch 0001	On-Chip and Distributed Dynamic Parallelism for Task-based Hardware Accelerators.	J. Signal Process. Syst.	2022	DBLP DOI BibTeX RDF
12	Nermine Ali, Jean-Marc Philippe, Benoît Tain, Philippe Coussy	Generating Efficient FPGA-based CNN Accelerators from High-Level Descriptions.	J. Signal Process. Syst.	2022	DBLP DOI BibTeX RDF
12	Elizabeth Carter, Pengzhou He, Jiafeng Xie	High-Performance Polynomial Multiplication Hardware Accelerators for KEM Saber and NTRU.	IACR Cryptol. ePrint Arch.	2022	DBLP BibTeX RDF
12	Stanislav Sedukhin, Yoichi Tomioka, Kohei Yamamoto	In Search of the Performance- and Energy-Efficient CNN Accelerators.	IEICE Trans. Electron.	2022	DBLP DOI BibTeX RDF
12	Angelos Kyriakos, Elissaios-Alexios Papatheofanous, Charalampos Bezaitis, Dionysios I. Reisis	Resources and Power Efficient FPGA Accelerators for Real-Time Image Classification.	J. Imaging	2022	DBLP DOI BibTeX RDF
12	Mahesh Chandra	On the Implementation of Fixed-Point Exponential Function for Machine Learning and Signal- Processing Accelerators.	IEEE Des. Test	2022	DBLP DOI BibTeX RDF
12	Hao Kong, Shuo Huai, Di Liu 0002, Lei Zhang 0072, Hui Chen 0016, Shien Zhu, Shiqing Li, Weichen Liu, Manu Rastogi, Ravi Subramaniam, Madhu Athreya, M. Anthony Lewis	EDLAB: A Benchmark for Edge Deep Learning Accelerators.	IEEE Des. Test	2022	DBLP DOI BibTeX RDF
12	Michaela Blott, Alina Vasilciuc, Miriam Leeser, Linda Doyle	Evaluating Theoretical Baselines for ML Benchmarking Across Different Accelerators.	IEEE Des. Test	2022	DBLP DOI BibTeX RDF
12	Hongwu Jiang, Wantong Li, Shanshi Huang, Stefan Cosemans, Francky Catthoor, Shimeng Yu	Analog-to-Digital Converter Design Exploration for Compute-in-Memory Accelerators.	IEEE Des. Test	2022	DBLP DOI BibTeX RDF
12	Sathwika Bavikadi, Abhijitt Dhavlle, Amlan Ganguly, Anand Haridass, Hagar Hendy, Cory E. Merkel, Vijay Janapa Reddi, Purab Ranjan Sutradhar, Arun Joseph, Sai Manoj Pudukotai Dinakarrao	A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms.	IEEE Des. Test	2022	DBLP DOI BibTeX RDF
12	Carlos Salgado-López, Jon Imanol Apiñaniz, José Luis Henares, José Antonio Pérez-Hernández, Diego de Luis, Luca Volpe, Giancarlo Gatti	Angular-Resolved Thomson Parabola Spectrometer for Laser-Driven Ion Accelerators.	Sensors	2022	DBLP DOI BibTeX RDF
12	Christoffer Åleskog, Håkan Grahn, Anton Borg	Recent Developments in Low-Power AI Accelerators: A Survey.	Algorithms	2022	DBLP DOI BibTeX RDF
12	Saurabh Tewari, Anshul Kumar, Kolin Paul	Minimizing Off-Chip Memory Access for CNN Accelerators.	IEEE Consumer Electron. Mag.	2022	DBLP DOI BibTeX RDF
12	Guangli Li, Xiu Ma, Xueying Wang, Hengshan Yue, Jiansong Li, Lei Liu 0030, Xiaobing Feng 0002, Jingling Xue	Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning.	J. Syst. Archit.	2022	DBLP DOI BibTeX RDF
12	Ardavan Pedram, Ali Shafiee Ardestani, Ling Li, Hamzah Abdel-Aziz, Jun Fang, Joseph Hassoun	Algorithm/architecture solutions to improve beyond uniform quantization in embedded DNN accelerators.	J. Syst. Archit.	2022	DBLP DOI BibTeX RDF
12	Nicolás Landeros Muñoz, Alejandro Valero, Ruben Gran Tejero, Davide Zoni	Gated-CNN: Combating NBTI and HCI aging effects in on-chip activation memories of Convolutional Neural Network accelerators.	J. Syst. Archit.	2022	DBLP DOI BibTeX RDF
12	Biagio Peccerillo, Mirco Mannino, Andrea Mondelli, Sandro Bartolini	A survey on hardware accelerators: Taxonomy, trends, challenges, and perspectives.	J. Syst. Archit.	2022	DBLP DOI BibTeX RDF
12	Maria Angélica Dávila-Guzmán, Lester Kalms, Ruben Gran Tejero, María Villarroya-Gaudó, Darío Suárez Gracia, Diana Göhringer	A cross-platform OpenVX library for FPGA accelerators.	J. Syst. Archit.	2022	DBLP DOI BibTeX RDF
12	Mohammadreza Asadikouhanjani, Hao Zhang 0041, Kyunghwan Cho, Young-Jin Park, Seok-Bum Ko	Efficient Approximate DNN Accelerators for Edge Devices: An Experimental Study.	Approximate Computing	2022	DBLP DOI BibTeX RDF
12	Jan Klhufek, Vojtech Mrazek	ArithsGen: Arithmetic Circuit Generator for Hardware Accelerators.	DDECS	2022	DBLP DOI BibTeX RDF
12	Alessandro Veronesi, Francesco Dall'Occo, Davide Bertozzi, Michele Favalli, Milos Krstic	Exploring Software Models for the Resilience Analysis of Deep Learning Accelerators: the NVDLA Case Study.	DDECS	2022	DBLP DOI BibTeX RDF
12	Giuseppe Aiello, Beatrice Bussolino, Emanuele Valpreda, Massimo Ruo Roch, Guido Masera, Maurizio Martina, Stefano Marsi	NLCMAP: A Framework for the Efficient Mapping of Non-Linear Convolutional Neural Networks on FPGA Accelerators.	ICIP	2022	DBLP DOI BibTeX RDF
12	Hyunsung Kim, Sungyeob Yoo, Jaewan Bae, Kyeongryeol Bong, Yoonho Boo, Karim Charfi, Hyo-Eun Kim, Hyun Suk Kim, Jinseok Kim, Byungjae Lee, Jaehwan Lee, Myeongbo Shim, Sungho Shin, Jeong Seok Woo, Joo-Young Kim 0001, Sunghyun Park, Jinwook Oh	LightTrader : World's first AI-enabled High-Frequency Trading Solution with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators.	HCS	2022	DBLP DOI BibTeX RDF
12	Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee	Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators.	PACT	2022	DBLP DOI BibTeX RDF
12	Luca Zulberti, Matteo Monopoli, Pietro Nannipieri, Luca Fanucci	Architectural Implications for Inference of Graph Neural Networks on CGRA-based Accelerators.	PRIME	2022	DBLP DOI BibTeX RDF
12	Abdulrahman Mahmoud, Thierry Tambe, Tarek Aloui, David Brooks 0001, Gu-Yeon Wei	GoldenEye: A Platform for Evaluating Emerging Numerical Data Formats in DNN Accelerators.	DSN	2022	DBLP DOI BibTeX RDF
12	Arthur Moss, Hyunjong Lee, Lei Xun, Chulhong Min, Fahim Kawsar, Alessandro Montanari	Ultra-Low Power DNN Accelerators for IoT: Resource Characterization of the MAX78000.	SenSys	2022	DBLP DOI BibTeX RDF
12	Kwondo Ma, Mohamed Mejri, Chandramouli N. Amarnath, Abhijit Chatterjee	Low Power Neural Network Accelerators Using Collaborative Weight Tuning and Shared Shift-Add optimization.	MWSCAS	2022	DBLP DOI BibTeX RDF
12	Raffaele Galliera, Niranjan Suri	Object Detection at the Edge: Off-the-shelf Deep Learning Capable Devices and Accelerators.	ICMCIS	2022	DBLP DOI BibTeX RDF
12	Kai Zou, Xike Xie, Qi Li, Deyu Kong	GX-Plug: a Middleware for Plugging Accelerators to Distributed Graph Processing.	ICDE	2022	DBLP DOI BibTeX RDF
12	Yunji Qin, Lei Gong, Zhendong Zheng, Chao Wang 0003	Work-in-Progress: BloCirNN: An Efficient Software/hardware Codesign Approach for Neural Network Accelerators with Block-Circulant Matrix.	CODES+ISSS	2022	DBLP DOI BibTeX RDF
12	James Read, Wantong Li, Shimeng Yu	A Method for Reverse Engineering Neural Network Parameters from Compute-in-Memory Accelerators.	ISVLSI	2022	DBLP DOI BibTeX RDF
12	Mohammad Walid Charrwi, Huy Phan, Bo Yuan 0001, Samah Mohamed Saeed	Towards Yield Improvement for AI Accelerators: Analysis and Exploration.	ISVLSI	2022	DBLP DOI BibTeX RDF
12	Fanruo Meng, Chengmo Yang	Exploring Image Selection for Self-Testing in Neural Network Accelerators.	ISVLSI	2022	DBLP DOI BibTeX RDF
12	Tim Hotfilter, Fabian Kreß, Fabian Kempf, Jürgen Becker 0001, Imen Baili	Data Movement Reduction for DNN Accelerators: Enabling Dynamic Quantization Through an eFPGA.	ISVLSI	2022	DBLP DOI BibTeX RDF
12	Lei Zhao, Youtao Zhang, Jun Yang 0002	A DNN Protection Solution for PIM accelerators with Model Compression.	ISVLSI	2022	DBLP DOI BibTeX RDF
12	Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Kanad Basu	Fault Resilience of DNN Accelerators for Compressed Sensor Inputs.	ISVLSI	2022	DBLP DOI BibTeX RDF
12	Shalini Singh, Pavan Kumar Pothula, Madhav Rao	Design and Evaluation of On-chip DCT accelerators based on Novel Approximate Reverse Carry Propagate Adders.	ISVLSI	2022	DBLP DOI BibTeX RDF
12	Arjun Chaudhuri, Jonti Talukdar, Krishnendu Chakrabarty	Probabilistic Fault Grading for AI Accelerators using Neural Twins.	ISVLSI	2022	DBLP DOI BibTeX RDF
12	Vasileios Leon, Elissaios-Alexios Papatheofanous, George Lentaris, Charalampos Bezaitis, Nikolaos Mastorakis, Georgios Bampilis, Dionysios I. Reisis, Dimitrios Soudris	Combining Fault Tolerance Techniques and COTS SoC Accelerators for Payload Processing in Space.	VLSI-SoC	2022	DBLP DOI BibTeX RDF
12	Muhammad Awais 0009, Marco Platzner	Automated Framework for Fast Synthesis of Approximate Hardware Accelerators.	VLSI-SoC	2022	DBLP DOI BibTeX RDF
12	Antonis M. Paschalis, Panagiotis Chatziantoniou, Dimitris Theodoropoulos, Antonis Tsigkanos, Nektarios Kranitis	High-Performance Hardware Accelerators for Next Generation On-Board Data Processing.	VLSI-SoC	2022	DBLP DOI BibTeX RDF
12	Martha Barker, Stephen A. Edwards, Martha A. Kim	Synthesized Garbage Collection for FPGA Accelerators.	FPGA	2022	DBLP DOI BibTeX RDF
12	Maria Rafaela Gkeka, Alexandros Patras, Nikolaos Tavoularis, Stylianos Piperakis, Emmanouil Hourdakis, Panos E. Trahanias, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas	FPGA Accelerators for Robust Visual SLAM on Humanoid Robots.	FPGA	2022	DBLP DOI BibTeX RDF
12	Martí Caro, Hamid Tabani, Jaume Abella 0001	At-scale assessment of weight clustering for energy-efficient object detection accelerators.	SAC	2022	DBLP DOI BibTeX RDF
12	Nicola Lepri, Artem Glukhov, Daniele Ielmini	Mitigating read-program variation and IR drop by circuit architecture in RRAM-based neural network accelerators.	IRPS	2022	DBLP DOI BibTeX RDF
12	Artem Glukhov, Valerio Milo, Andrea Baroni, Nicola Lepri, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini	Statistical model of program/verify algorithms in resistive-switching memories for in-memory neural network accelerators.	IRPS	2022	DBLP DOI BibTeX RDF
12	Zheng Wei, Xingjun Zhang, Jingbo Li, Zeyu Ji, Jia Wei	BenQ: Benchmarking Automated Quantization on Deep Neural Network Accelerators.	DATE	2022	DBLP DOI BibTeX RDF
12	Po-Yuan Chen, Fang-Yi Gu, Yu-Hong Huang, Ing-Chao Lin	WRAP: Weight RemApping and Processing in RRAM-based Neural Network Accelerators Considering Thermal Effect.	DATE	2022	DBLP DOI BibTeX RDF
12	Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna	DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators.	DATE	2022	DBLP DOI BibTeX RDF
12	Linyan Mei, Huichu Liu, Tony F. Wu, Huseyin Ekin Sumbul, Marian Verhelst, Edith Beigné	A Uniform Latency Model for DNN Accelerators with Diverse Architectures and Dataflows.	DATE	2022	DBLP DOI BibTeX RDF
12	Tiago D. Perez, Marcio M. Gonçalves, Leonardo Gobatto, Marcelo Brandalero, José Rodrigo Azambuja, Samuel Pagliarini	G-GPU: A Fully-Automated Generator of GPU-like ASIC Accelerators.	DATE	2022	DBLP DOI BibTeX RDF
12	Saurabh Tewari, Anshul Kumar, Kolin Paul	SACC: Split and Combine Approach to Reduce the Off-chip Memory Accesses of LSTM Accelerators.	DATE	2022	DBLP DOI BibTeX RDF
12	Paras Jain 0001, Safeen Huda, Martin Maas 0001, Joseph E. Gonzalez, Ion Stoica, Azalia Mirhoseini	Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers.	DATE	2022	DBLP DOI BibTeX RDF
12	Yu Zeng, Aarti Gupta, Sharad Malik	Automatic Generation of Architecture-Level Models from RTL Designs for Processors and Accelerators.	DATE	2022	DBLP DOI BibTeX RDF
12	Tim Hotfilter, Fabian Kreß, Fabian Kempf, Jürgen Becker 0001, Juan Miguel De Haro Ruiz, Daniel Jiménez-González, Miquel Moretó, Carlos Álvarez 0001, Jesús Labarta, Imen Baili	Towards Reconfigurable Accelerators in HPC: Designing a Multipurpose eFPGA Tile for Heterogeneous SoCs.	DATE	2022	DBLP DOI BibTeX RDF
12	Utkarsh Saxena, Indranil Chakraborty, Kaushik Roy 0001	Towards ADC-Less Compute-In-Memory Accelerators for Energy Efficient Deep Learning.	DATE	2022	DBLP DOI BibTeX RDF
12	Yu Zhu, Zhenhua Zhu, Guohao Dai, Kai Zhong, Huazhong Yang, Yu Wang 0002	Exploiting Parallelism with Vertex-Clustering in Processing-In-Memory-based GCN Accelerators.	DATE	2022	DBLP DOI BibTeX RDF
12	Saambhavi Baskaran, Mahmut Taylan Kandemir, Jack Sampson	An architecture interface and offload model for low-overhead, near-data, distributed accelerators.	MICRO	2022	DBLP DOI BibTeX RDF
12	Wenqin Huangfu, Krishna T. Malladi, Andrew Chang, Yuan Xie 0001	BEACON: Scalable Near-Data-Processing Accelerators for Genome Analysis near Memory Pool with the CXL Support.	MICRO	2022	DBLP DOI BibTeX RDF
12	Xuyi Cai, Ying Wang 0001, Xiaohan Ma, Yinhe Han 0001, Lei Zhang 0008	DeepBurning-SEG: Generating DNN Accelerators of Segment-Grained Pipeline Architecture.	MICRO	2022	DBLP DOI BibTeX RDF
12	Zhaoying Li, Dan Wu, Dhananjaya Wijerathne, Tulika Mitra	LISA: Graph Neural Network based Portable Mapping on Spatial Accelerators.	HPCA	2022	DBLP DOI BibTeX RDF
12	Shixuan Zheng, Xianjue Zhang, Leibo Liu, Shaojun Wei, Shouyi Yin	Atomic Dataflow based Graph-Level Workload Orchestration for Scalable DNN Accelerators.	HPCA	2022	DBLP DOI BibTeX RDF
12	Yuji Chai, Glenn G. Ko, Wei-Te Mark Ting, Luke Bailey, David Brooks 0001, Gu-Yeon Wei	CoopMC: Algorithm-Architecture Co-Optimization for Markov Chain Monte Carlo Accelerators.	HPCA	2022	DBLP DOI BibTeX RDF
12	Zhijing Li 0002, Yuwei Ye, Stephen Neuendorffer, Adrian Sampson	Compiler-Driven Simulation of Reconfigurable Hardware Accelerators.	HPCA	2022	DBLP DOI BibTeX RDF
12	Murali Emani, Zhen Xie, Siddhisanket Raskar, Varuni Sastry, William Arnold, Bruce Wilson, Rajeev Thakur, Venkatram Vishwanath, Zhengchun Liu, Michael E. Papka, Cindy Orozco Bohorquez, Rick Weisner, Karen Li, Yongning Sheng, Yun Du, Jian Zhang, Alexander Tsyplikhin, Gurdaman Khaira, Jeremy Fowers, Ramakrishnan Sivakumar, Victoria Godsoe, Adrian Macias, Chetan Tekur, Matthew Boyd	A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads.	PMBS@SC	2022	DBLP DOI BibTeX RDF
12	Nooshin Nosrati, Seyedeh Maryam Ghasemi, Mahboobe Sadeghipour Roodsari, Zainalabedin Navabi	Concurrent Error Detection for LSTM Accelerators.	ETS	2022	DBLP DOI BibTeX RDF