Search results for "GEMM"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
145	Bo Kågström, Per Ling, Charles Van Loan	GEMM-based level 3 BLAS: high-performance model implementations and performance evaluation benchmark.	ACM Trans. Math. Softw.	1998	DBLP DOI BibTeX RDF	GEMM-based level 3 BLAS, matrix-matrix kernels, parallelization, memory hierarchy, vectorization, FORTRAN 77, blocked algorithms
101	Yinan Li 0002, Jack J. Dongarra, Stanimire Tomov	A Note on Auto-tuning GEMM for GPUs.	ICCS (1)	2009	DBLP DOI BibTeX RDF	matrix multiply, GPUs, Auto-tuning, dense linear algebra
83	Isak Jonsson, Bo Kågström	Parallel Triangular Sylvester-Type Matrix Equation Solvers for SMP Systems Using Recursive Blocking.	PARA	2000	DBLP DOI BibTeX RDF	Sylvester-type matrix equations, recursion, superscalar, level 3 BLAS, GEMM-based, automatic blocking
78	Michel J. Daydé, Iain S. Duff, Antoine Petitet	A parallel block implementation of Level-3 BLAS for MIMD vector processors.	ACM Trans. Math. Softw.	1994	DBLP DOI BibTeX RDF	matrix-matrix kernels, parallelization, vectorization, Level-3 BLAS
66	Bo Kågström, Charles Van Loan	Algorithm 784: GEMM-based level 3 BLAS: portability and optimization issues.	ACM Trans. Math. Softw.	1998	DBLP DOI BibTeX RDF	GEMM-based level 3 BLAS, matrix-matrix kernels, parallelization, memory hierarchy, vectorization, FORTRAN 77, blocked algorithms
63	Michael J. Feeley, Norman C. Hutchinson, Suprio Ray	Realistic Mobility for Mobile Ad Hoc Network Simulation.	ADHOC-NOW	2004	DBLP DOI BibTeX RDF	GEMM, MANET, Mobility Model
59	Ahmed Sherif Zekri, Stanislav G. Sedukhin	The general matrix multiply-add operation on 2D torus.	IPDPS	2006	DBLP DOI BibTeX RDF
51	John S. McCaskill, Thomas Maeke, Udo Gemm, Ludger Schulte, Uwe Tangen	NGEN: A Massively Parallel Reconfigurable Computer for Biological Simulation: Towards a Self-Organizing Computer.	ICES	1996	DBLP DOI BibTeX RDF
45	Shixun Wu, Yujia Zhai, Jiajun Huang, Zizhe Jian, Zizhong Chen	FT-GEMM: A Fault Tolerant High Performance GEMM Implementation on x86 CPUs.	CoRR	2023	DBLP DOI BibTeX RDF
45	Shixun Wu, Yujia Zhai, Jiajun Huang, Zizhe Jian, Zizhong Chen	FT-GEMM: A Fault Tolerant High Performance GEMM Implementation on x86 CPUs.	HPDC	2023	DBLP DOI BibTeX RDF
44	Robert Granat, Bo Kågström	Evaluating Parallel Algorithms for Solving Sylvester-Type Matrix Equations: Direct Transformation-Based Versus Iterative Matrix-Sign-Function-Based Methods.	PARA	2004	DBLP DOI BibTeX RDF	Sylvester matrix equation, Bartels–Stewart method, explicit blocking, c-stable matrices, PSLICOT, level 3 BLAS, continuous-time, GEMM-based, ScaLAPACK, Newton iteration, matrix sign function
44	Bo Kågström	Management of Deep Memory Hierarchies - Recursive Blocked Algorithms and Hybrid Data Structures for Dense Matrix Computations.	PARA	2004	DBLP DOI BibTeX RDF	automatic variable blocking, hybrid data structures, superscalar kernels, SMP parallelization, library software, ESSL, RECSY, periodic systems, factorizations, recursion, superscalar, LAPACK, level 3 BLAS, dense linear algebra, GEMM-based, SLICOT, matrix equations
44	Robert Granat, Isak Jonsson, Bo Kågström	Combining Explicit, Recursive Blocking for Solving Triangular Sylvester-Type Matrix Equations on Distributed Memory Platforms.	Euro-Par	2004	DBLP DOI BibTeX RDF	Sylvester matrix equation, Bartels–Stewart method, ScaLAPACK-style algorithms, RECSY, blocking, LAPACK, recursive algorithms, level 3 BLAS, continuous-time, GEMM-based, automatic blocking
44	Isak Jonsson, Bo Kågström	RECSY - A High Performance Library for Sylvester-Type Matrix Equations.	Euro-Par	2003	DBLP DOI BibTeX RDF	Sylvester-type matrix equations, RECSY, recursion, superscalar, LAPACK, level 3 BLAS, GEMM-based, SLICOT, automatic blocking
44	Robert Granat, Bo Kågström, Peter Poromaa	Parallel ScaLAPACK-Style Algorithms for Solving Continuous-Time Sylvester Matrix Equations.	Euro-Par	2003	DBLP DOI BibTeX RDF	Sylvester matrix equation, Bartels-Stewart method, ScaLAPACK-style algorithms, blocking, level 3 BLAS, continuous-time, GEMM-based, SLICOT
44	Isak Jonsson, Bo Kågström	Recursive blocked algorithms for solving triangular systems - Part I: one-sided and coupled Sylvester-type matrix equations.	ACM Trans. Math. Softw.	2002	DBLP DOI BibTeX RDF	SMP parallelization, generalized coupled Sylvester, standard Sylvester and Lyapunov, recursion, superscalar, LAPACK, level-3 BLAS, GEMM-based, SLICOT, Matrix equations, automatic blocking
44	Isak Jonsson, Bo Kågström	Recursive blocked algorithms for solving triangular systems - Part II: two-sided and generalized Sylvester and Lyapunov matrix equations.	ACM Trans. Math. Softw.	2002	DBLP DOI BibTeX RDF	SMP parallelization, generalized Sylvester and Lyapunov, standard discrete-time Sylvester and Lyapunov, recursion, superscalar, LAPACK, level-3 BLAS, GEMM-based, SLICOT, Matrix equations, automatic blocking
39	Vasily Volkov, James Demmel	Benchmarking GPUs to tune dense linear algebra.	SC	2008	DBLP DOI BibTeX RDF
39	Bjarne Stig Andersen, Jerzy Wasniewski, Fred G. Gustavson	A recursive formulation of Cholesky factorization of a matrix in packed storage.	ACM Trans. Math. Softw.	2001	DBLP DOI BibTeX RDF	Cholesky factorization and solution, complex Hermitian matrices, novel packed matrix data structures, real symmetric matrices, BLAS, recursive algorithms, positive definite matrices
39	Fred G. Gustavson, Isak Jonsson	High Performance Cholesky Factorization via Blocking and Recursion That Uses Minimal Storage.	PARA	2000	DBLP DOI BibTeX RDF	packed format, level 3 BLAS parallelism, recursive algorithm, Cholesky factorization, recursive data structure
39	Michel J. Daydé, Iain S. Duff	The RISC BLAS: a blocked implementation of level 3 BLAS for RISC processors.	ACM Trans. Math. Softw.	1999	DBLP DOI BibTeX RDF	matrix-matrix kernels, blocking, loop-unrolling, level 3 BLAS, RISC processors
24	Samuel Williams 0001, John Shalf, Leonid Oliker, Shoaib Kamil 0001, Parry Husbands, Katherine A. Yelick	Scientific Computing Kernels on the Cell Processor.	Int. J. Parallel Program.	2007	DBLP DOI BibTeX RDF	GEMM, SpMV, three level memory, FFT, sparse matrix, Cell processor, Stencil
24	Samuel Williams 0001, John Shalf, Leonid Oliker, Shoaib Kamil 0001, Parry Husbands, Katherine A. Yelick	The potential of the cell processor for scientific computing.	Conf. Computing Frontiers	2006	DBLP DOI BibTeX RDF	GEMM, SpMV, three level memory, FFT, sparse matrix, cell processor, stencil
23	Susana Ortega-Cisneros	Design and Implementation of an NoC-Based Convolution Architecture With GEMM and Systolic Arrays.	IEEE Embed. Syst. Lett.	2024	DBLP DOI BibTeX RDF
23	Cong Guo 0003, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen 0002, Minyi Guo	Accelerating Sparse DNNs Based on Tiled GEMM.	IEEE Trans. Computers	2024	DBLP DOI BibTeX RDF
23	Bo Wang, Sheng Ma, Shengbai Luo, Lizhou Wu, Jianmin Zhang, Chunyuan Zhang, Tiejun Li	SparGD: A Sparse GEMM Accelerator with Dynamic Dataflow.	ACM Trans. Design Autom. Electr. Syst.	2024	DBLP DOI BibTeX RDF
23	Venkata Sai Praneeth Karempudi, Sairam Sri Vatsavai, Ishan G. Thakkar, Oluwaseun Adewunmi Alo, Jeffrey Todd Hastings, Justin Scott Woods	A Low-Dissipation and Scalable GEMM Accelerator with Silicon Nitride Photonics.	CoRR	2024	DBLP DOI BibTeX RDF
23	Sairam Sri Vatsavai, Venkata Sai Praneeth Karempudi, Oluwaseun Adewunmi Alo, Ishan G. Thakkar	A Comparative Analysis of Microrings Based Incoherent Photonic GEMM Accelerators.	CoRR	2024	DBLP DOI BibTeX RDF
23	Cong Guo 0003, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen 0002, Minyi Guo	Accelerating Sparse DNNs Based on Tiled GEMM.	CoRR	2024	DBLP DOI BibTeX RDF
23	Jaeyong Jang, Yulhwa Kim, Juheun Lee, Jae-Joon Kim	FIGNA: Integer Unit-Based Accelerator Design for FP-INT GEMM Preserving Numerical Accuracy.	HPCA	2024	DBLP DOI BibTeX RDF
23	Seonghun Jeong, Jooyeon Lee, Jaeha Kung	A Full SW-HW Demonstration of GEMM Accelerators with RISC-V Instruction Extensions.	ICEIC	2024	DBLP DOI BibTeX RDF
23	Lili Xu, Binjie Chen, Chenhao Huang, Mengmeng Zhou, Shucheng You, Fangming Jiang, Weirong Chen, Jinsong Deng	Identifying PM2.5-Related Health Burden in the Context of the Integrated Development of Urban Agglomeration Using Remote Sensing and GEMM Model.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
23	Sandeep Kumar Sharma, Amit Chaurasia, Vijay Shankar Sharma, Chiranji Lal Chowdhary, Shakila Basheer	GEMM, a Genetic Engineering-Based Mutual Model for Resource Allocation of Grid Computing.	IEEE Access	2023	DBLP DOI BibTeX RDF
23	Jordi Fornt, Pau Fontova-Musté, Martí Caro, Jaume Abella 0001, Francesc Moll, Josep Altet, Christoph Studer	An Energy-Efficient GeMM-Based Convolution Accelerator With On-the-Fly im2col.	IEEE Trans. Very Large Scale Integr. Syst.	2023	DBLP DOI BibTeX RDF
23	Iryna De Albuquerque Silva, Thomas Carle, Adrien Gauffriau, Claire Pagetti	Extending a predictable machine learning framework with efficient gemm-based convolution routines.	Real Time Syst.	2023	DBLP DOI BibTeX RDF
23	Hyeonjin Kim, William J. Song	LAS: Locality-Aware Scheduling for GEMM-Accelerated Convolutions in GPUs.	IEEE Trans. Parallel Distributed Syst.	2023	DBLP DOI BibTeX RDF
23	Louis Ledoux, Marc Casas	Open-Source GEMM Hardware Kernels Generator: Toward Numerically-Tailored Computations.	CoRR	2023	DBLP DOI BibTeX RDF
23	Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Bryan M. Wong, Zizhong Chen	Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs.	CoRR	2023	DBLP DOI BibTeX RDF
23	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
23	Saeed Maleki	Look-Up mAI GeMM: Increasing AI GeMMs Performance by Nearly 2.5x via msGeMM.	CoRR	2023	DBLP DOI BibTeX RDF
23	Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan 0002, Siva Kumar Sastry Hari, Timothy Tsai 0002, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li 0006	MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications.	CoRR	2023	DBLP DOI BibTeX RDF
23	Ruqing G. Xu, Field G. Van Zee, Robert A. van de Geijn	GEMMFIP: Unifying GEMM in BLIS.	CoRR	2023	DBLP DOI BibTeX RDF
23	Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré	Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture.	CoRR	2023	DBLP DOI BibTeX RDF
23	Devangi N. Parikh, Robert A. van de Geijn, Greg M. Henry	Cascading GEMM: High Precision from Low Precision.	CoRR	2023	DBLP DOI BibTeX RDF
23	Enrico Reggiani, Alessandro Pappalardo, Max Doblas, Miquel Moretó, Mauro Olivieri, Osman Sabri Unsal, Adrián Cristal	Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices.	HPCA	2023	DBLP DOI BibTeX RDF
23	Ranggi Hwang, Minhoo Kang, Jiwon Lee, Dongyun Kam, Youngjoo Lee, Minsoo Rhu	GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks.	HPCA	2023	DBLP DOI BibTeX RDF
23	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.	HPCA	2023	DBLP DOI BibTeX RDF
23	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
23	Jie Lei, Héctor Martínez, José Flich, Enrique S. Quintana-Ortí	GEMM-Like Convolution for Deep Learning Inference on the Xilinx Versal.	ISC Workshops	2023	DBLP DOI BibTeX RDF
23	Guosheng Yu, Zhihong Lv, Haijiang Wang, Zilong Huang, Jicheng Chen	Task-aware Scheduling and Performance Optimization on Yitian710 SoC for GEMM-based Workloads on the Cloud.	AICAS	2023	DBLP DOI BibTeX RDF
23	RuQing G. Xu, Field G. Van Zee, Robert A. van de Geijn	Towards a Unified Implementation of GEMM in BLIS.	ICS	2023	DBLP DOI BibTeX RDF
23	Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Bryan M. Wong, Zizhong Chen	Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs.	ICS	2023	DBLP DOI BibTeX RDF
23	Alexey Romanov, Andrei Turkin, Oleg Myakinin, Fiodar Tsupko, Jiexing Gao	Parameter Estimation via Time Modeling for MLIR Implementation of GEMM.	OPTIMA	2023	DBLP DOI BibTeX RDF
23	Yongseung Yu, Donghyun Son, Younghyun Lee, Sunghyun Park 0004, Giha Ryu, Myeongjin Cho, Jiwon Seo 0002, Yongjun Park 0001	Tailoring CUTLASS GEMM using Supervised Learning.	ICCD	2023	DBLP DOI BibTeX RDF
23	Harideep Nair, Prabhu Vellaisamy, Albert Chen, Joseph Finn, Anna Li, Manav Trivedi, John Paul Shen	tuGEMM: Area-Power-Efficient Temporal Unary GEMM Architecture for Low-Precision Edge AI.	ISCAS	2023	DBLP DOI BibTeX RDF
23	Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Evan Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré	Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture.	NeurIPS	2023	DBLP BibTeX RDF
23	Tahsin Tariq Banna, Swakshar Deb, Sejuti Rahman, Shafin Rahman	GEMM: A Graph Embedded Model for Memorability Prediction.	IJCNN	2023	DBLP DOI BibTeX RDF
23	Zhiwei Yang, Lu Lu, Ruimin Wang	A batched GEMM optimization framework for deep learning.	J. Supercomput.	2022	DBLP DOI BibTeX RDF
23	Thomas Faingnaert, Tim Besard, Bjorn De Sutter	Flexible Performant GEMM Kernels on GPUs.	IEEE Trans. Parallel Distributed Syst.	2022	DBLP DOI BibTeX RDF
23	Sergio Barrachina 0001, Manuel F. Dolz, Pablo San Juan, Enrique S. Quintana-Ortí	Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors.	J. Parallel Distributed Comput.	2022	DBLP DOI BibTeX RDF
23	Nihat Mert Cicek, Xipeng Shen, Ozcan Ozturk 0001	Energy Efficient Boosting of GEMM Accelerators for DNN via Reuse.	ACM Trans. Design Autom. Electr. Syst.	2022	DBLP DOI BibTeX RDF
23	Yunan Zhang, Po-An Tsai, Hung-Wei Tseng 0001	SIMD2: A Generalized Matrix Instruction Set for Accelerating Tensor Computation beyond GEMM.	CoRR	2022	DBLP DOI BibTeX RDF
23	Jianyu Yao, Boqian Shi, Chunyang Xiang, Haipeng Jia, Chendi Li, Hang Cao, Yunquan Zhang	IAAT: A Input-Aware Adaptive Tuning framework for Small GEMM.	CoRR	2022	DBLP DOI BibTeX RDF
23	Minhoo Kang, Ranggi Hwang, Jiwon Lee, Dongyun Kam, Youngjoo Lee, Minsoo Rhu	GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks.	CoRR	2022	DBLP DOI BibTeX RDF
23	Mark Gates, Asim YarKhan, Dalal Sukkari, Kadir Akbudak, Sébastien Cayrols, Daniel Bielich, Mohammed A. Al Farhan, Jack J. Dongarra	Reproducability Artifact for Running SLATE's GEMM and POTRF Operations on Summit and Crusher.		2022	DOI RDF
23	Mark Gates, Asim YarKhan, Dalal Sukkari, Kadir Akbudak, Sébastien Cayrols, Daniel Bielich, Ahmad Abdelfattah, Mohammed A. Al Farhan, Jack J. Dongarra	Reproducability Artifact for Running SLATE's GEMM and POTRF Operations on Summit and Crusher.		2022	DOI RDF
23	Bo Wang, Sheng Ma, Zhong Liu, Libo Huang, Yuan Yuan 0034, Yi Dai	SADD: A Novel Systolic Array Accelerator with Dynamic Dataflow for Sparse GEMM in Deep Learning.	NPC	2022	DBLP DOI BibTeX RDF
23	Cunyang Wei, Haipeng Jia, Yunquan Zhang, Kun Li, Luhan Wang	LBBGEMM: A Load-balanced Batch GEMM Framework on ARM CPU s.	HPCC/DSS/SmartCity/DependSys	2022	DBLP DOI BibTeX RDF
23	Arthur Francisco Lorenzon, Sandro Matheus V. N. Marques, Antoni C. Navarro, Vicenç Beltran 0001	Seamless optimization of the GEMM kernel for task-based programming models.	ICS	2022	DBLP DOI BibTeX RDF
23	Chunhua Xiao, Chen Shi, Dandan Xu, Fangzhu Lin, Kun Ning	SDST-Accelerating GEMM-based Convolution through Smart Data Stream Transformation.	CCGRID	2022	DBLP DOI BibTeX RDF
23	Bo Wang, Sheng Ma, Yuan Yuan 0034, Yi Dai, Wei Jiang, Xiang Hou, Xiao Yi, Rui Xu	SparG: A Sparse GEMM Accelerator for Deep Learning Applications.	ICA3PP	2022	DBLP DOI BibTeX RDF
23	Dennis Agyemanh Nana Gookyi, Eunchong Lee, Kyungho Kim, Sung-Joon Jang, Sang-Seol Lee	Exploring GEMM Operations on Different Configurations of the Gemmini Accelerator.	ISOCC	2022	DBLP DOI BibTeX RDF
23	Bingyi Zhang, Akhilesh R. Jaiswal, Clynn Mathew, Ravi Teja Lakkireddy, Ajey P. Jacob, Sasindu Wijeratne, Viktor K. Prasanna	Modeling the Energy Efficiency of GEMM using Optical Random Access Memory.	HPEC	2022	DBLP DOI BibTeX RDF
23	Yunan Zhang, Po-An Tsai, Hung-Wei Tseng 0001	SIMD2: a generalized matrix instruction set for accelerating tensor computation beyond GEMM.	ISCA	2022	DBLP DOI BibTeX RDF
23	Ananda Samajdar, Eric Qin 0001, Michael Pellauer, Tushar Krishna	Self adaptive reconfigurable arrays (SARA): learning flexible GEMM accelerator configuration and mapping-space using ML.	DAC	2022	DBLP DOI BibTeX RDF
23	Di Wu 0016, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim 0001, Joshua San Miguel	uGEMM: Unary Computing for GEMM Applications.	IEEE Micro	2021	DBLP DOI BibTeX RDF
23	Qingchang Han, Hailong Yang, Ming Dun, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian	Towards efficient tile low-rank GEMM computation on sunway many-core processors.	J. Supercomput.	2021	DBLP DOI BibTeX RDF
23	Mochamad Asri, Dhairya Malhotra, Jiajun Wang, George Biros, Lizy K. John, Andreas Gerstlauer	Hardware Accelerator Integration Tradeoffs for High-Performance Computing: A Case Study of GEMM Acceleration in N-Body Methods.	IEEE Trans. Parallel Distributed Syst.	2021	DBLP DOI BibTeX RDF
23	Ananda Samajdar, Michael Pellauer, Tushar Krishna	Self-Adaptive Reconfigurable Arrays (SARA): Using ML to Assist Scaling GEMM Acceleration.	CoRR	2021	DBLP BibTeX RDF
23	Ratko Pilipovic, Vladimir Risojevic, Janko Bozic, Patricio Bulic, Uros Lotric	An Approximate GEMM Unit for Energy-Efficient Object Detection.	Sensors	2021	DBLP DOI BibTeX RDF
23	Reza Hojabr, Ali Sedaghati, Amirali Sharifian, Ahmad Khonsari, Arrvindh Shriraman	SPAGHETTI: Streaming Accelerators for Highly Sparse GEMM on FPGAs.	HPCA	2021	DBLP DOI BibTeX RDF
23	Jianyu Yao, Boqian Shi, Chunyang Xiang, Haipeng Jia, Chendi Li, Hang Cao, Yunquan Zhang	IAAT: A Input-Aware Adaptive Tuning framework for Small GEMM.	ICPADS	2021	DBLP DOI BibTeX RDF
23	Malith Jayaweera, Kaustubh Shivdikar, Yanzhi Wang, David R. Kaeli	JAXED: Reverse Engineering DNN Architectures Leveraging JIT GEMM Libraries.	SEED	2021	DBLP DOI BibTeX RDF
23	Zhi Gang Liu, Paul N. Whatmough, Matthew Mattina	Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference.	IEEE Comput. Archit. Lett.	2020	DBLP DOI BibTeX RDF
23	Uday Bondhugula	High Performance Code Generation in MLIR: An Early Case Study with GEMM.	CoRR	2020	DBLP BibTeX RDF
23	Zhi Gang Liu, Paul N. Whatmough, Matthew Mattina	Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference.	CoRR	2020	DBLP BibTeX RDF
23	Thomas Faingnaert, Tim Besard, Bjorn De Sutter	Flexible Performant GEMM Kernels on GPUs.	CoRR	2020	DBLP BibTeX RDF
23	Natalie Beams, Ahmad Abdelfattah, Stan Tomov, Jack J. Dongarra, Tzanio V. Kolev, Yohann Dudouit	High-Order Finite Element Method using Standard and Device-Level Batch GEMM on GPUs.	ScalA@SC	2020	DBLP DOI BibTeX RDF
23	Eric Qin 0001, Ananda Samajdar, Hyoukjun Kwon, Vineet Nadella, Sudarshan Srinivasan, Dipankar Das 0002, Bharat Kaul, Tushar Krishna	SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training.	HPCA	2020	DBLP DOI BibTeX RDF
23	Ioannis Oroutzoglou, Dimosthenis Masouros, Konstantina Koliogeorgi, Sotirios Xydis, Dimitrios Soudris	Exploration of GPU sharing policies under GEMM workloads.	SCOPES	2020	DBLP DOI BibTeX RDF
23	Guoning Lu, Dong Xu 0015, Ning Wang, Xiao Zhang, Degen Zhen, Hong Lei, Yunlong Bai, Dehui Kong, Hang Ruan, Zhifeng Chi, Xiankui Xiong, Ke Xu 0014	A Design of 16TOPS Efficient GEMM Module in Deep Learning Accelerator.	ICTA	2020	DBLP DOI BibTeX RDF
23	Yunping Zhao, Jianzhuang Lu, Xiaowen Chen	A Design of GEMM Parallel Computing Accelerator Based on Vector SIMD Technology.	ICCTA	2020	DBLP DOI BibTeX RDF
23	Philip Colangelo, Shayan Sengupta, Martin Margala	Sparse Persistent GEMM Accelerator using OpenCL for Intel FPGAs.	ISCAS	2020	DBLP DOI BibTeX RDF
23	Andrew Anderson 0001, Aravind Vasudevan, Cormac Keane, David Gregg	High-Performance Low-Memory Lowering: GEMM-based Algorithms for DNN Convolution.	SBAC-PAD	2020	DBLP DOI BibTeX RDF
23	Sheng Wei Pang, Chai Quek, Dilip K. Prasad	GEMM-eMFIS (FRI/E): A Novel General Episodic Memory Mechanism For Fuzzy Neural Networks.	IJCNN	2020	DBLP DOI BibTeX RDF
23	Di Wu 0016, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim 0001, Joshua San Miguel	UGEMM: Unary Computing Architecture for GEMM Applications.	ISCA	2020	DBLP DOI BibTeX RDF
23	S. Kala, Babita R. Jose, Jimson Mathew, Nalesh Sivanandan	High-Performance CNN Accelerator on FPGA Using Unified Winograd-GEMM Architecture.	IEEE Trans. Very Large Scale Integr. Syst.	2019	DBLP DOI BibTeX RDF
23	Roktaek Lim, Yeongha Lee, Raehyun Kim, Jaeyoung Choi, Myungho Lee	Auto-tuning GEMM kernels on the Intel KNL and Intel Skylake-SP processors.	J. Supercomput.	2019	DBLP DOI BibTeX RDF
23	Xing Su, Xiangke Liao, Hao Jiang 0001, Canqun Yang, Jingling Xue	SCP: Shared Cache Partitioning for High-Performance GEMM.	ACM Trans. Archit. Code Optim.	2019	DBLP DOI BibTeX RDF
23	Wenlei Bao, Li-Wen Chang, Yang Chen, Ke Deng, Amit Agarwal, Emad Barsoum, Abe Taha	NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques.	CoRR	2019	DBLP BibTeX RDF