Search results for "Acceleration"

Hits ?▲	Authors	Title	Venue	Year	Link
9	Chen Yin, Naifeng Jing, Jianfei Jiang 0001, Qin Wang 0009, Zhigang Mao	A Reschedulable Dataflow-SIMD Execution for Increased Utilization in CGRA Cross-Domain Acceleration.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2023	DBLP DOI BibTeX RDF
9	Yean-Ru Chen, Si-Han Chen, Shangwei Lin 0001	SMT Solver With Hardware Acceleration.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2023	DBLP DOI BibTeX RDF
9	Tianmu Li, Wojciech Romaszkan, Sudhakar Pamarti, Puneet Gupta 0001	REX-SC: Range-Extended Stochastic Computing Accumulation for Neural Network Acceleration.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2023	DBLP DOI BibTeX RDF
9	Zhuoran Song, Heng Lu, Li Jiang 0002, Naifeng Jing, Xiaoyao Liang	Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration Framework.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2023	DBLP DOI BibTeX RDF
9	Fengbin Tu, Yiqi Wang 0005, Ling Liang, Yufei Ding, Leibo Liu, Shaojun Wei, Shouyi Yin, Yuan Xie 0001	SDP: Co-Designing Algorithm, Dataflow, and Architecture for In-SRAM Sparse NN Acceleration.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2023	DBLP DOI BibTeX RDF
9	Zhe Zhou, Junlin Liu, Zhenyu Gu, Guangyu Sun 0003	Energon: Toward Efficient Acceleration of Transformers Using Dynamic Sparse Attention.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2023	DBLP DOI BibTeX RDF
9	Tse-Yuan Wang, Che-Wei Tsao, Yuan-Hao Chang 0001, Tei-Wei Kuo	Retention-Aware Read Acceleration Strategy for LDPC-Based NAND Flash Memory.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2023	DBLP DOI BibTeX RDF
9	Rui Lv, Dingheng Wang, Jiangbin Zheng, Yefan Xie, Zhao-Xu Yang	Corrigendum to "Realistic acceleration of neural networks with fine-grained tensor decomposition" [Neurocomputing 512 (2022) 52-68].	Neurocomputing	2023	DBLP DOI BibTeX RDF
9	Keqin Li 0001, Bo Yang 0021	Achieving maximum speedup in multi-level acceleration for massive coronavirus testing.	Int. J. Parallel Emergent Distributed Syst.	2023	DBLP DOI BibTeX RDF
9	Yunting Xu, Bo Qian 0001, Kai Yu 0010, Ting Ma 0004, Lian Zhao, Haibo Zhou	Federated Learning Over Fully-Decoupled RAN Architecture for Two-Tier Computing Acceleration.	IEEE J. Sel. Areas Commun.	2023	DBLP DOI BibTeX RDF
9	Sijie Zhao, Shangshang Gao, Rugang Wang, Yuanyuan Wang, Feng Zhou 0010, Naihong Guo	Acceleration and implementation of convolutional neural networks based on FPGA.	Digit. Signal Process.	2023	DBLP DOI BibTeX RDF
9	Junwei Xu, Yuli Fu 0001, Youjun Xiang	An edge map-guided acceleration strategy for multi-scale weighted nuclear norm minimization-based image denoising.	Digit. Signal Process.	2023	DBLP DOI BibTeX RDF
9	Yinglin Zhao, Jianlei Yang 0001, Bing Li, Xingzhou Cheng, Xucheng Ye, Xueyan Wang, Xiaotao Jia, Zhaohao Wang, Youguang Zhang, Weisheng Zhao	NAND-SPIN-based processing-in-MRAM architecture for convolutional neural network acceleration.	Sci. China Inf. Sci.	2023	DBLP DOI BibTeX RDF
9	Chao Chen, Bruno da Silva 0001, Chenxi Yang, Caiyun Ma, Jianqing Li 0002, Chengyu Liu 0001	AutoMLP: A Framework for the Acceleration of Multi-Layer Perceptron Models on FPGAs for Real-Time Atrial Fibrillation Disease Detection.	IEEE Trans. Biomed. Circuits Syst.	2023	DBLP DOI BibTeX RDF
9	Jinghui Zhang, Weilong Xin, Dingyang Lv, Jiawei Wang, Guangxing Cai, Fang Dong 0001	Multi-exit DNN inference acceleration for intelligent terminal with heterogeneous processors.	Sustain. Comput. Informatics Syst.	2023	DBLP DOI BibTeX RDF
9	Luca Caronti, Khakim Akhunov, Matteo Nardello, Kasim Sinan Yildirim, Davide Brunelli	Fine-grained Hardware Acceleration for Efficient Batteryless Intermittent Inference on the Edge.	ACM Trans. Embed. Comput. Syst.	2023	DBLP DOI BibTeX RDF
9	Zhengzheng Ma, Tuo Dai, Xuechao Wei, Guojie Luo	An Intermediate-Centric Dataflow for Transposed Convolution Acceleration on FPGA.	ACM Trans. Embed. Comput. Syst.	2023	DBLP DOI BibTeX RDF
9	Georgios Zacharopoulos, Adel Ejjeh, Ying Jing, En-Yu Yang, Tianyu Jia, Iulian Brumar, Jeremy Intan, Muhammad Huzaifa, Sarita V. Adve, Vikram S. Adve, Gu-Yeon Wei, David Brooks 0001	Trireme: Exploration of Hierarchical Multi-level Parallelism for Hardware Acceleration.	ACM Trans. Embed. Comput. Syst.	2023	DBLP DOI BibTeX RDF
9	Yun Liang 0001, Wei Zhang 0012, Stephen Neuendorffer, Wayne Luk	Special Issue: "AI Acceleration on FPGAs".	ACM Trans. Embed. Comput. Syst.	2023	DBLP DOI BibTeX RDF
9	Xiaoyang Wang 0006, Zhe Zhou, Zhihang Yuan, Jingchen Zhu, Yulong Cao, Yao Zhang, Kangrui Sun, Guangyu Sun 0003	FD-CNN: A Frequency-Domain FPGA Acceleration Scheme for CNN-Based Image-Processing Applications.	ACM Trans. Embed. Comput. Syst.	2023	DBLP DOI BibTeX RDF
9	Flavio Ponzina, Marco Rios, Alexandre Levisse, Giovanni Ansaloni, David Atienza	Overflow-free Compute Memories for Edge AI Acceleration.	ACM Trans. Embed. Comput. Syst.	2023	DBLP DOI BibTeX RDF
9	Karol Abratkiewicz, Mateusz Malanowski, Zbigniew K. Gajo	Target Acceleration Estimation in Active and Passive Radars.	IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.	2023	DBLP DOI BibTeX RDF
9	Xiaocheng Yang, Chaodong Lu, Jingye Yan, Lin Wu, Feng Liu 0005, Mingfeng Jiang	Iterative Regularization Using an Acceleration Technique for Synthetic Aperture Interferometric Radiometer.	IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.	2023	DBLP DOI BibTeX RDF
9	Fernando Delgado-Licona, Milad Abolhasani	Research Acceleration in Self-Driving Labs: Technological Roadmap toward Accelerated Materials and Molecular Discovery.	Adv. Intell. Syst.	2023	DBLP DOI BibTeX RDF
9	Fernando Delgado-Licona, Milad Abolhasani	Research Acceleration in Self-Driving Labs: Technological Roadmap toward Accelerated Materials and Molecular Discovery.	Adv. Intell. Syst.	2023	DBLP DOI BibTeX RDF
9	Killian Herveau, Philip Pfaffe, Martin Peter Tillmann, Walter F. Tichy, Carsten Dachsbacher	Analysis of Acceleration Structure Parameters and Hybrid Autotuning for Ray Tracing.	IEEE Trans. Vis. Comput. Graph.	2023	DBLP DOI BibTeX RDF
9	Puning Zhang, Fengyi Huang, Dapeng Wu 0002, Boran Yang, Zhigang Yang, Lei Tan	Device-Edge-Cloud Collaborative Acceleration Method Towards Occluded Face Recognition in High-Traffic Areas.	IEEE Trans. Multim.	2023	DBLP DOI BibTeX RDF
9	Xiaodong Wang 0010, Zhedong Zheng, Yang He 0002, Fei Yan, Zhiqiang Zeng, Yi Yang 0001	Progressive Local Filter Pruning for Image Retrieval Acceleration.	IEEE Trans. Multim.	2023	DBLP DOI BibTeX RDF
9	Markus Hegland, Janosch Rieger	Generalized Gearhart-Koshy acceleration is a Krylov space method of a new type.	CoRR	2023	DBLP DOI BibTeX RDF
9	Chen Ju, Haicheng Wang, Zeqian Li, Xu Chen, Zhonghua Zhai, Weilin Huang, Shuai Xiao	Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Models.	CoRR	2023	DBLP DOI BibTeX RDF
9	Jason M. Altschuler, Pablo A. Parrilo	Acceleration by Stepsize Hedging I: Multi-Step Descent and the Silver Stepsize Schedule.	CoRR	2023	DBLP DOI BibTeX RDF
9	Eldar Kurtic, Denis Kuznedelev, Elias Frantar, Michael Goin, Dan Alistarh	Sparse Fine-tuning for Inference Acceleration of Large Language Models.	CoRR	2023	DBLP DOI BibTeX RDF
9	Margherita Guido, Daniel Kressner, Paolo Ricci	Subspace Acceleration for a Sequence of Linear Systems and Application to Plasma Simulation.	CoRR	2023	DBLP DOI BibTeX RDF
9	Tianyi Han, Jingya Li, Zhipeng Guo 0005, Yuan Jin	A Region-Shrinking-Based Acceleration for Classification-Based Derivative-Free Optimization.	CoRR	2023	DBLP DOI BibTeX RDF
9	Sarwan Ali, Prakash Chourasia, Murray Patterson	Anderson Acceleration For Bioinformatics-Based Machine Learning.	CoRR	2023	DBLP DOI BibTeX RDF
9	Lei Zhao, Luca Buonanno, Ron M. Roth, Sergey Serebryakov, Archit Gajjar, John Moon, Jim Ignowski, Giacomo Pedretti	RACE-IT: A Reconfigurable Analog CAM-Crossbar Engine for In-Memory Transformer Acceleration.	CoRR	2023	DBLP DOI BibTeX RDF
9	Xiaoping Zheng, Bert Otten, Michiel Felix Reneman, Claudine J. C. Lamoth	Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration.	CoRR	2023	DBLP DOI BibTeX RDF
9	Georgios Zacharopoulos, Ilias Bournias, Verner Vlacic, Lukas Cavigelli	ReDSEa: Automated Acceleration of Triangular Solver on Supercloud Heterogeneous Systems.	CoRR	2023	DBLP DOI BibTeX RDF
9	Mohamed Assem Ibrahim, Shaizeen Aga	Collaborative Acceleration for FFT on Commercial Processing-In-Memory Architectures.	CoRR	2023	DBLP DOI BibTeX RDF
9	Weicheng Xue, Hongyu Wang, Christopher J. Roy	CPU-GPU Heterogeneous Code Acceleration of a Finite Volume Computational Fluid Dynamics Solver.	CoRR	2023	DBLP DOI BibTeX RDF
9	Longlin Yu, Tianyu Xie 0001, Yu Zhu, Tong Yang, Xiangyu Zhang, Cheng Zhang	Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration.	CoRR	2023	DBLP DOI BibTeX RDF
9	Jongho Park 0002, Jinchao Xu	DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime.	CoRR	2023	DBLP DOI BibTeX RDF
9	Benjamin Kahl	Hardware Acceleration of Progressive Refinement Radiosity using Nvidia RTX.	CoRR	2023	DBLP DOI BibTeX RDF
9	Qingping Zhou, Jiayu Qian, Junqi Tang, Jinglai Li	Deep Unrolling Networks with Recurrent Momentum Acceleration for Nonlinear Inverse Problems.	CoRR	2023	DBLP DOI BibTeX RDF
9	Jannis Schönleber, Lukas Cavigelli, Renzo Andri, Matteo Perotti, Luca Benini	Stella Nera: Achieving 161 TOp/s/W with Multiplier-free DNN Acceleration based on Approximate Matrix Multiplication.	CoRR	2023	DBLP DOI BibTeX RDF
9	Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka	Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics.	CoRR	2023	DBLP DOI BibTeX RDF
9	Kai Yi, Laurent Condat, Peter Richtárik	Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning.	CoRR	2023	DBLP DOI BibTeX RDF
9	Tyler Maunu, Martin Molina-Fructuoso	Acceleration and Implicit Regularization in Gaussian Phase Retrieval.	CoRR	2023	DBLP DOI BibTeX RDF
9	Tao Ni 0009, Mirco Zaccariotto, Qizhi Zhu, Ugo Galvanetto	Matrix-based implementation and GPU acceleration of linearized ordinary state-based peridynamic models in MATLAB.	CoRR	2023	DBLP DOI BibTeX RDF
9	Thomas Geert de Jong, Nozomi Akashi, Tomohiro Taniguchi, Hirofumi Notsu, Kohei Nakajima	Virtual reservoir acceleration for CPU and GPU: Case study for coupled spin-torque oscillator reservoir.	CoRR	2023	DBLP DOI BibTeX RDF
9	Weijie Fang, Yanggeng Fu, Jiaquan Gao, Longkun Guo, Gregory Z. Gutin, Xiaoyan Zhang 0001	Acceleration for Timing-Aware Gate-Level Logic Simulation with One-Pass GPU Parallelism.	CoRR	2023	DBLP DOI BibTeX RDF
9	Durga Mandarapu, Vani Nagarajan, Milind Kulkarni 0001	Generalized Neighbor Search using Commodity Hardware Acceleration.	CoRR	2023	DBLP DOI BibTeX RDF
9	Weihong Xu, Junwei Chen, Po-Kai Hsu, Jaeyoung Kang 0001, Minxuan Zhou, Sumukh Pinge, Shimeng Yu, Tajana Rosing	Proxima: Near-storage Acceleration for Graph-based Approximate Nearest Neighbor Search in 3D NAND.	CoRR	2023	DBLP DOI BibTeX RDF
9	Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel S. Emer	HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity.	CoRR	2023	DBLP DOI BibTeX RDF
9	Florian Frohn, Jürgen Giesl	ADCL: Acceleration Driven Clause Learning for Constrained Horn Clauses.	CoRR	2023	DBLP DOI BibTeX RDF
9	Kanan Gupta, Jonathan W. Siegel, Stephan Wojtowytsch	Achieving acceleration despite very noisy gradients.	CoRR	2023	DBLP DOI BibTeX RDF
9	Febin Sunny, Mahdi Nikdast, Sudeep Pasricha	Cross-Layer Design for AI Acceleration with Non-Coherent Optical Computing.	CoRR	2023	DBLP DOI BibTeX RDF
9	Yao Zhao, Zhitian Xie, Chenyi Zhuang, Jinjie Gu	Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy.	CoRR	2023	DBLP DOI BibTeX RDF
9	Yanwei Gong, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic, Jianhua Wang, Haoran Zhu	Practical Solutions in Fully Homomorphic Encryption - A Survey Analyzing Existing Acceleration Methods.	CoRR	2023	DBLP DOI BibTeX RDF
9	Yuhao Chen, Yuxuan Yan, Qianqian Yang 0004, Yuanchao Shu, Shibo He, Zhiguo Shi 0001, Jiming Chen 0001	AccEPT: An Acceleration Scheme for Speeding Up Edge Pipeline-parallel Training.	CoRR	2023	DBLP DOI BibTeX RDF
9	Orzion Levy, Itzik Klein	INS/DVL Fusion with DVL Based Acceleration Measurements.	CoRR	2023	DBLP DOI BibTeX RDF
9	Lopamudra Kundu, Xingqin Lin, Elena Agostini, Vikrama Ditya	Hardware Acceleration for Open Radio Access Networks: A Contemporary Overview.	CoRR	2023	DBLP DOI BibTeX RDF
9	Hans De Sterck, Oliver A. Krzysik, Adam Smith	On the convergence of restarted Anderson acceleration for symmetric linear systems.	CoRR	2023	DBLP DOI BibTeX RDF
9	Shuaiqiang Liu, Graziana Colonna, Lech A. Grzelak, Cornelis W. Oosterlee	GPU acceleration of the Seven-League Scheme for large time step simulations of stochastic differential equations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Jingjie Wu, Lei Zhou	Transcending the Acceleration-Bandwidth Trade-off: Lightweight Precision Stages with Active Control of Flexible Dynamics.	CoRR	2023	DBLP DOI BibTeX RDF
9	Filippos N. Tzortzoglou, Dionysios Theodosis, Andreas A. Malikopoulos	An Approach for Optimizing Acceleration in Connected and Automated Vehicles.	CoRR	2023	DBLP DOI BibTeX RDF
9	Yu-Hui Chen, Raman Sarokin, Juhyun Lee, Jiuqiang Tang, Chuo-Ling Chang, Andrei Kulik, Matthias Grundmann	Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Kewang Chen, Ye Ji, Matthias Möller, Cornelis Vuik	A short report on preconditioned Anderson acceleration method.	CoRR	2023	DBLP DOI BibTeX RDF
9	Huan He, Ziyuan Tang, Shifan Zhao, Yousef Saad, Yuanzhe Xi	NLTGCR: A class of Nonlinear Acceleration Procedures based on Conjugate Residuals.	CoRR	2023	DBLP DOI BibTeX RDF
9	Manuel Le Gallo, Corey Lammie, Julian Büchel, Fabio Carta, Omobayode Fagbohungbe, Charles Mackin, Hsinyu Tsai, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui, Malte J. Rasch	Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference.	CoRR	2023	DBLP DOI BibTeX RDF
9	Jun Zhang, Jue Wang 0019, Huan Li 0003, Lidan Shou, Ke Chen 0005, Gang Chen 0001, Sharad Mehrotra	Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding.	CoRR	2023	DBLP DOI BibTeX RDF
9	Kejie Tang, Weidong Liu, Yichen Zhang	Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality.	CoRR	2023	DBLP DOI BibTeX RDF
9	Nian-Ci Wu, Yang Zhou, Zhaolu Tian	On the relaxed greedy randomized Kaczmarz methods with momentum acceleration for solving matrix equation AXB=C.	CoRR	2023	DBLP DOI BibTeX RDF
9	Shuo Chen, Bin Shi, Ya-Xiang Yuan	On Underdamped Nesterov's Acceleration.	CoRR	2023	DBLP DOI BibTeX RDF
9	Zhixin Pan, Prabhat Mishra 0001	Hardware Acceleration of Explainable Artificial Intelligence.	CoRR	2023	DBLP DOI BibTeX RDF
9	Vasileios Leon	From Circuits to SoC Processors: Arithmetic Approximation Techniques & Embedded Computing Methodologies for DSP Acceleration.	CoRR	2023	DBLP DOI BibTeX RDF
9	Philippe Heim, Rayna Dimitrova	Solving Infinite-State Games via Acceleration.	CoRR	2023	DBLP DOI BibTeX RDF
9	Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang	Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference.	CoRR	2023	DBLP DOI BibTeX RDF
9	Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky	ConvPIM: Evaluating Digital Processing-in-Memory through Convolutional Neural Network Acceleration.	CoRR	2023	DBLP DOI BibTeX RDF
9	Zhiqiang Que, Shuo Liu, Markus Rognlien, Ce Guo, José Gabriel F. Coutinho, Wayne Luk	MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration.	CoRR	2023	DBLP DOI BibTeX RDF
9	Dinesh Kumar, Dilworth Y. Parkinson, Jeffrey J. Donatelli	tomoCAM: Fast Model-based Iterative Reconstruction via GPU Acceleration and Non-Uniform Fast Fourier Transforms.	CoRR	2023	DBLP DOI BibTeX RDF
9	Ronald M. Caplan, Miko M. Stulajter, Jon A. Linker	Acceleration of a production Solar MHD code with Fortran standard parallelism: From OpenACC to 'do concurrent'.	CoRR	2023	DBLP DOI BibTeX RDF
9	Sajjad Mohammadi, Jeffrey H. Lang, James L. Kirtley, David L. Trumper	Modeling and Design of a Double-Sided Linear Motor with Halbach Array for Low-Vibration and High-Acceleration Applications.	CoRR	2023	DBLP DOI BibTeX RDF
9	Junhyuk So, Jungwon Lee, Eunhyeok Park	FRDiff: Feature Reuse for Exquisite Zero-shot Acceleration of Diffusion Models.	CoRR	2023	DBLP DOI BibTeX RDF
9	Mengfei Xia, Yujun Shen, Changsong Lei, Yu Zhou, Ran Yi, Deli Zhao, Wenping Wang, Yong-Jin Liu	Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner.	CoRR	2023	DBLP DOI BibTeX RDF
9	Yiqun Liu 0013, Mohsen Abdoli, Thomas Guionnet, Christine Guillemot, Aline Roumy	Light-weight CNN-based VVC Inter Partitioning Acceleration.	CoRR	2023	DBLP DOI BibTeX RDF
9	Taiga Utsugiri, Tomonori Kouya	Acceleration of Multiple Precision Matrix Multiplication using Ozaki scheme.	CoRR	2023	DBLP DOI BibTeX RDF
9	Taher Anjary	The Floyd-Warshall Algorithm Re-implemented Using 3D-Tensors and Hardware Acceleration.	CoRR	2023	DBLP DOI BibTeX RDF
9	Kuan-Cheng Chen, Xiaotian Xu, Henry Makhanov, Hui-Hsuan Chung, Chen-Yu Liu	Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration.	CoRR	2023	DBLP DOI BibTeX RDF
9	José L. Núñez-Yáñez, Andrés Otero, Eduardo de la Torre	Dynamically Reconfigurable Variable-precision Sparse-Dense Matrix Acceleration in Tensorflow Lite.	CoRR	2023	DBLP DOI BibTeX RDF
9	Ivan Miro-Panades, Benoît Tain, Jean-Frédéric Christmann, David Coriat, Romain Lemaire, Clement Jany, Baudouin Martineau, Fabrice Chaix, Guillaume Waltener, Emmanuel Pluchart, Jean-Philippe Noel, Adam Makosiej, Maxime Montoya, Simone Bacles-Min, David Briand, Jean-Marc Philippe, Yvain Thonnart, Alexandre Valentian, Frédéric Heitzmann, Fabien Clermidy	SamurAI: A Versatile IoT Node With Event-Driven Wake-Up and Embedded ML Acceleration.	CoRR	2023	DBLP DOI BibTeX RDF
9	Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin 0001, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna	VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs.	CoRR	2023	DBLP DOI BibTeX RDF
9	Anuj Kumar, Tarek Echekki	A Framework for Combustion Chemistry Acceleration with DeepONets.	CoRR	2023	DBLP DOI BibTeX RDF
9	Moumena Chaqfeh, Rashid Tahir, Ayaz Rehman, Jesutofunmi Kupoluyi, Saad Ullah, Russell Coke, Muhammad Junaid, Muhammad Arham, Marc Wiggerman, Abijith Radhakrishnan, Ivano Malavolta, Fareed Zaffar, Yasir Zaki	WASEF: Web Acceleration Solutions Evaluation Framework.	CoRR	2023	DBLP DOI BibTeX RDF
9	Juan Zhong, Zheng Liu, Xi Chen	Transformer-based models and hardware acceleration analysis in autonomous driving: A survey.	CoRR	2023	DBLP DOI BibTeX RDF
9	Gagandeep Singh 0002, Alireza Khodamoradi, Kristof Denolf, Jack Lo, Juan Gómez-Luna, Joseph Melber, Andra Bisca, Henk Corporaal, Onur Mutlu	SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation.	CoRR	2023	DBLP DOI BibTeX RDF
9	Habib Hajimolahoseini, Walid Ahmed, Yang Liu	Training Acceleration of Low-Rank Decomposed Networks using Sequential Freezing and Rank Quantization.	CoRR	2023	DBLP DOI BibTeX RDF
9	Zahra Azad, Guowei Yang, Rashmi Agrawal, Daniel Petrisko, Michael B. Taylor, Ajay Joshi	RISE: RISC-V SoC for En/decryption Acceleration on the Edge for Homomorphic Encryption.	CoRR	2023	DBLP DOI BibTeX RDF
9	Yitu Wang, Shiyu Li, Qilin Zheng, Linghao Song, Zongwang Li, Andrew Chang, Hai (Helen) Li, Yiran Chen 0001	In-Storage Acceleration of Graph-Traversal-Based Approximate Nearest Neighbor Search.	CoRR	2023	DBLP DOI BibTeX RDF
9	Junhyeok Jang, Miryeong Kwon, Donghyun Gouk, Hanyeoreum Bae, Myoungsoo Jung	GraphTensor: Comprehensive GNN-Acceleration Framework for Efficient Parallel Processing of Massive Datasets.	CoRR	2023	DBLP DOI BibTeX RDF