Search results for "SpMV"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
85	Michael A. Bender, Gerth Stølting Brodal, Rolf Fagerberg, Riko Jacob, Elias Vicari	Optimal sparse matrix dense vector multiplication in the I/O-model.	SPAA	2007	DBLP DOI BibTeX RDF	I/O-model, sparse matrix dense vector multiplication, lower bound, external memory algorithms
64	E. Yuan, Yunquan Zhang, Xiangzheng Sun	Memory Access Complexity Analysis of SpMV in RAM (h) Model.	HPCC	2008	DBLP DOI BibTeX RDF
64	Vasileios Karakasis, Georgios I. Goumas, Nectarios Koziris	Exploring the effect of block shapes on the performance of sparse kernels.	IPDPS	2009	DBLP DOI BibTeX RDF
64	Vasileios Karakasis, Georgios I. Goumas, Nectarios Koziris	A Comparative Study of Blocking Storage Methods for Sparse Matrices on Multicore Architectures.	CSE (1)	2009	DBLP DOI BibTeX RDF
64	Li Wang 0027, Xuejun Yang, Guibin Wang, Xiaobo Yan, Yu Deng 0001, Jing Du 0002, Ying Zhang 0032, Tao Tang 0001, Kun Zeng	Implementation and Optimization of Sparse Matrix-Vector Multiplication on Imagine Stream Processor.	ISPA	2007	DBLP DOI BibTeX RDF	stream processor, Imagine, Sparse Matrix-Vector Multiplication
64	Leonid Oliker, Xiaoye S. Li, Gerd Heber, Rupak Biswas	Ordering Unstructured Meshes for Sparse Matrix Computations on Leading Parallel Systems.	IPDPS Workshops	2000	DBLP DOI BibTeX RDF
43	Mina Ashoury, Mohammad Loni, Farshad Khunjush, Masoud Daneshtalab	Auto-SpMV: Automated Optimizing SpMV Kernels on GPU.	CoRR	2023	DBLP DOI BibTeX RDF
42	Lixia Liu, Zhiyuan Li 0001	A compiler-automated array compression scheme for optimizing memory intensive programs.	ICS	2010	DBLP DOI BibTeX RDF	adaptive code selection, bandwidth consumption reduction, compiler implementation, memory intensive programs, compression
42	JeeWhan Choi, Amik Singh, Richard W. Vuduc	Model-driven autotuning of sparse matrix-vector multiply on GPUs.	PPoPP	2010	DBLP DOI BibTeX RDF	performance modeling, gpu, sparse matrix-vector multiplication
42	Tilman Küstner, Josef Weidendorfer, Jasmine Schirmer, Tobias Klug, Carsten Trinitis, Sybille Ziegler	Parallel MLEM on Multicore Architectures.	ICCS (1)	2009	DBLP DOI BibTeX RDF
42	Nathan Bell, Michael Garland	Implementing sparse matrix-vector multiplication on throughput-oriented processors.	SC	2009	DBLP DOI BibTeX RDF
42	Seyong Lee, Rudolf Eigenmann	Adaptive runtime tuning of parallel sparse matrix-vector multiplication on distributed memory systems.	ICS	2008	DBLP DOI BibTeX RDF	runtime tuning, sparse matrix, process mapping
42	Samuel Williams 0001, Leonid Oliker, Richard W. Vuduc, John Shalf, Katherine A. Yelick, James Demmel	Optimization of sparse matrix-vector multiplication on emerging multicore platforms.	SC	2007	DBLP DOI BibTeX RDF
42	Benjamin C. Lee, Richard W. Vuduc, James Demmel, Katherine A. Yelick	Performance Models for Evaluation and Automatic Tuning of Symmetric Sparse Matrix-Vector Multiply.	ICPP	2004	DBLP DOI BibTeX RDF
31	Mehmet Belgin, Godmar Back, Calvin J. Ribbens	Pattern-based sparse matrix representation for memory-efficient SMVM kernels.	ICS	2009	DBLP DOI BibTeX RDF	bcoo, bcsr, matrix splitting, pbr, smvm, spmv, prefetching, vectorization, memory bandwidth, iterative solvers, sparse computations, csr
31	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
31	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
21	Utpal Kiran, Deepak Sharma 0001, Sachin Singh Gautam	An efficient framework for matrix-free SpMV computation on GPU for elastoplastic problems.	Math. Comput. Simul.	2024	DBLP DOI BibTeX RDF
21	Evann Regnault, Bérenger Bramas	SPC5: An efficient SpMV framework vectorized using ARM SVE and x86 AVX-512.	Comput. Sci. Inf. Syst.	2024	DBLP DOI BibTeX RDF
21	Mayez Al-Mouhamed, Lutfi A. Firdaus, Ayaz H. Khan, Nazeeruddin Mohammad	SpMV and BiCG-Stab sparse solver on Multi-GPUs for reservoir simulation.	Multim. Tools Appl.	2024	DBLP DOI BibTeX RDF
21	Jianhua Gao, Weixing Ji, Jie Liu, Yizhuo Wang, Feng Shi 0009	Revisiting thread configuration of SpMV kernels on GPU: A machine learning based approach.	J. Parallel Distributed Comput.	2024	DBLP DOI BibTeX RDF
21	Manoj B. Rajashekar, Xingyu Tian, Zhenman Fang	HiSpMV: Hybrid Row Distribution and Vector Buffering for Imbalanced SpMV Acceleration on FPGAs.	FPGA	2024	DBLP DOI BibTeX RDF
21	Panagiotis Mpakos, Ioanna Tasou, Chloe Alverti, Panagiotis Miliadis, Pavlos Malakonakis, Dimitris Theodoropoulos, Georgios I. Goumas, Dionisios N. Pnevmatikatos, Nectarios Koziris	Open-Source SpMV Multiplication Hardware Accelerator for FPGA-Based HPC Systems.	ARC	2024	DBLP DOI BibTeX RDF
21	Whijin Kim, Hana Kim, Jihye Lee, Hyunji Kim, Ji-Hoon Kim	Multi-Mode SpMV Accelerator for Transprecision PageRank With Real-World Graphs.	IEEE Access	2023	DBLP DOI BibTeX RDF
21	Chi Zhang, Paul Scheffler, Thomas Benz, Matteo Perotti, Luca Benini	Near-Memory Parallel Indexing and Coalescing: Enabling Highly Efficient Indirect Access for SpMV.	CoRR	2023	DBLP DOI BibTeX RDF
21	Christodoulos Stylianou, Mark Klaisoongnoen, Ricardo Jesus, Nick Brown 0002, Michèle Weiland	Morpheus unleashed: Fast cross-platform SpMV on emerging architectures.	CoRR	2023	DBLP DOI BibTeX RDF
21	Evann Regnault, Bérenger Bramas	SPC5: an efficient SpMV framework vectorized using ARM SVE and x86 AVX-512.	CoRR	2023	DBLP DOI BibTeX RDF
21	Jens Saak, Jonas Schulze	Diagonally-Addressed Matrix Nicknack: How to improve SpMV performance.	CoRR	2023	DBLP DOI BibTeX RDF
21	Panagiotis Mpakos, Dimitrios Galanopoulos, Petros Anastasiadis, Nikela Papadopoulou, Nectarios Koziris, Georgios I. Goumas	Feature-based SpMV Performance Analysis on Contemporary Devices.	CoRR	2023	DBLP DOI BibTeX RDF
21	Sardar Usman, Rashid Mehmood, Iyad A. Katib, Aiiad Albeshri, Saleh M. Altowaijri	ZAKI: A Smart Method and Tool for Automatic Performance Optimization of Parallel SpMV Computations on Distributed Memory Machines.	Mob. Networks Appl.	2023	DBLP DOI BibTeX RDF
21	Siyi Hu, Makiko Ito, Takahide Yoshikawa, Yuan He 0002, Hiroshi Nakamura, Masaaki Kondo	Adaptive Lossy Data Compression Extended Architecture for Memory Bandwidth Conservation in SpMV.	IEICE Trans. Inf. Syst.	2023	DBLP DOI BibTeX RDF
21	Bowen Liu, Dajiang Liu	Towards High-Bandwidth-Utilization SpMV on FPGAs via Partial Vector Duplication.	ASP-DAC	2023	DBLP DOI BibTeX RDF
21	Alexandre Rodrigues 0006, Leonel Sousa, Aleksandar Ilic	Performance Modelling-Driven Optimization of RISC-V Hardware for Efficient SpMV.	ISC Workshops	2023	DBLP DOI BibTeX RDF
21	José Oliver 0002, Carlos Álvarez 0001, Teresa Cervero, Xavier Martorell, John D. Davis, Eduard Ayguadé	Accelerating SpMV on FPGAs Through Block-Row Compress: A Task-Based Approach.	FPL	2023	DBLP DOI BibTeX RDF
21	Dimitrios Galanopoulos, Panagiotis Mpakos, Petros Anastasiadis, Nectarios Koziris, Georgios I. Goumas	Invited paper: An Artificial Matrix Generator for Multi-platform SpMV Performance Analysis.	IPDPS Workshops	2023	DBLP DOI BibTeX RDF
21	Panagiotis Mpakos, Dimitrios Galanopoulos, Petros Anastasiadis, Nikela Papadopoulou, Nectarios Koziris, Georgios I. Goumas	Feature-based SpMV Performance Analysis on Contemporary Devices.	IPDPS	2023	DBLP DOI BibTeX RDF
21	José Oliver 0002, Carlos Álvarez 0001, Teresa Cervero, Xavier Martorell, John D. Davis, Eduard Ayguadé	b8c: SpMV accelerator implementation leveraging high memory bandwidth.	FCCM	2023	DBLP DOI BibTeX RDF
21	Deshun Bi, Xiaowen Tian, Shengguo Li, Dezun Dong	Efficiently Running SpMV on Multi-Core DSPs for Block Sparse Matrix.	ICPADS	2023	DBLP DOI BibTeX RDF
21	Jingshan Pan, Lei Xiao, Min Tian, Li Wang, Chaochao Yang, Renjiang Chen, Zenghui Ren, Anjun Liu, Guanghui Zhu	hsSpMV: A Heterogeneous and SPM-aggregated SpMV for SW26010-Pro many-core processor.	CCGrid	2023	DBLP DOI BibTeX RDF
21	Dheeraj Ramchandani, Bahar Asgari, Hyesoon Kim	Spica: Exploring FPGA Optimizations to Enable an Efficient SpMV Implementation for Computations at Edge.	EDGE	2023	DBLP DOI BibTeX RDF
21	Jiafan Jiang, Jianqiang Huang, Haodong Bian	GTLB: A Load-Balanced SpMV Computation Method on GPU.	HP3C	2023	DBLP DOI BibTeX RDF
21	Gelin Fu, Tian Xia 0008, Shaoru Qu, Zhongpei Luo, Shuyu Li, Pengyu Cheng, Runfan Guo, Yitong Ding, Pengju Ren	PrSpMV: An Efficient Predictable Kernel for SpMV.	ICCD	2023	DBLP DOI BibTeX RDF
21	Jihu Guo, Jie Liu 0002, Qinglin Wang, Xiaoxiong Zhu	Optimizing CSR-Based SpMV on a New MIMD Architecture Pezy-SC3s.	ICA3PP (2)	2023	DBLP DOI BibTeX RDF
21	Deshun Bi, Shengguo Li, Yichen Zhang, Xiaojian Yang, Dezun Dong	Efficiently Running SpMV on Multi-core DSPs for Banded Matrix.	ICA3PP (5)	2023	DBLP DOI BibTeX RDF
21	Genshen Chu, Yuanjie He, Lingyu Dong, Zhezhao Ding, Dandan Chen, He Bai 0005, Xuesong Wang, Changjun Hu	Efficient Algorithm Design of Optimizing SpMV on GPU.	HPDC	2023	DBLP DOI BibTeX RDF
21	Huanyu Cui, Nianbin Wang, Yuhua Wang, Qilong Han, Yuezhu Xu	An effective SPMV based on block strategy and hybrid compression on GPU.	J. Supercomput.	2022	DBLP DOI BibTeX RDF
21	Huachen Tan	An asynchronous and parallel row-wise compressed SpMV kernel on heterogeneous CPU-GPU architectures.	Int. J. Embed. Syst.	2022	DBLP DOI BibTeX RDF
21	Zhen Du, Jiajia Li 0001, Yinshan Wang, Xueqi Li 0001, Guangming Tan, Ninghui Sun	AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices.	CoRR	2022	DBLP DOI BibTeX RDF
21	Thaha Mohammed 0001, Rashid Mehmood	Performance Enhancement Strategies for Sparse Matrix-Vector Multiplication (SpMV) and Iterative Linear Solvers.	CoRR	2022	DBLP DOI BibTeX RDF
21	Chong Chen	Explicit caching HYB: a new high-performance SpMV framework on GPGPU.	CoRR	2022	DBLP DOI BibTeX RDF
21	Yixiao Du, Yuwei Hu, Zhongchun Zhou, Zhiru Zhang	High-Performance Sparse Linear Algebra on HBM-Equipped FPGAs Using HLS: A Case Study on SpMV.	FPGA	2022	DBLP DOI BibTeX RDF
21	Tao Li, Li Shen 0007, Shangshang Yao	A High-performance SpMV Accelerator on HBM-equipped FPGAs.	HPCC/DSS/SmartCity/DependSys	2022	DBLP DOI BibTeX RDF
21	Guoqing Xiao 0001, Tao Zhou, Yuedan Chen, Yikun Hu, Kenli Li 0001	DTSpMV: An Adaptive SpMV Framework for Graph Analysis on GPUs.	HPCC/DSS/SmartCity/DependSys	2022	DBLP DOI BibTeX RDF
21	Weicai Ye, Chenghuan Huang, Jiasheng Huang, Jiajun Li, Yao Lu 0007, Ying Jiang	An Integral-equation-oriented Vectorized SpMV Algorithm and its Application on CT Imaging Reconstruction.	IPDPS	2022	DBLP DOI BibTeX RDF
21	Han D. Tran, Milinda Fernando, Kumar Saurabh, Baskar Ganapathysubramanian, Robert M. Kirby, Hari Sundar	A scalable adaptive-matrix SPMV for heterogeneous architectures.	IPDPS	2022	DBLP DOI BibTeX RDF
21	Erhan Tezcan, Tugba Torun, Fahrican Kosar, Kamer Kaya, Didem Unat	Mixed and Multi-Precision SpMV for GPUs with Row-wise Precision Selection.	SBAC-PAD	2022	DBLP DOI BibTeX RDF
21	Xin You, Changxi Liu, Hailong Yang, Pengbo Wang, Zhongzhi Luan, Depei Qian	Vectorizing SpMV by Exploiting Dynamic Regular Patterns.	ICPP	2022	DBLP DOI BibTeX RDF
21	Zhen Du, Jiajia Li 0001, Yinshan Wang, Xueqi Li 0001, Guangming Tan, Ninghui Sun	AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices.	SC	2022	DBLP DOI BibTeX RDF
21	Siyi Hu, Makiko Ito, Takahide Yoshikawa, Yuan He 0002, Masaaki Kondo	Memory Bandwidth Conservation for SpMV Kernels Through Adaptive Lossy Data Compression.	PDCAT	2022	DBLP DOI BibTeX RDF
21	Edoardo Coronado-Barrientos, Mario Antonioletti, Antonio J. García-Loureiro	A new AXT format for an efficient SpMV product using AVX-512 instructions and CUDA.	Adv. Eng. Softw.	2021	DBLP DOI BibTeX RDF
21	Thaha Mohammed 0001, Aiiad Albeshri, Iyad A. Katib, Rashid Mehmood	DIESEL: A novel deep learning-based tool for SpMV computations and solving sparse linear equation systems.	J. Supercomput.	2021	DBLP DOI BibTeX RDF
21	Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí	Selecting optimal SpMV realizations for GPUs via machine learning.	Int. J. High Perform. Comput. Appl.	2021	DBLP DOI BibTeX RDF
21	Guoqing Xiao 0001, Kenli Li 0001, Yuedan Chen, Wangquan He, Albert Y. Zomaya, Tao Li 0006	CASpMV: A Customized and Accelerative SpMV Framework for the Sunway TaihuLight.	IEEE Trans. Parallel Distributed Syst.	2021	DBLP DOI BibTeX RDF
21	Min Li, Yulong Ao, Chao Yang 0002	Adaptive SpMV/SpMSpV on GPUs for Input Vectors of Varied Sparsity.	IEEE Trans. Parallel Distributed Syst.	2021	DBLP DOI BibTeX RDF
21	Yufeng Zhang 0001, Wangdong Yang, Kenli Li 0001, Dahai Tang, Keqin Li 0001	Performance analysis and optimization for SpMV based on aligned storage formats on an ARM processor.	J. Parallel Distributed Comput.	2021	DBLP DOI BibTeX RDF
21	Alberto Parravicini, Luca Giuseppe Cellamare, Marco Siracusa, Marco Domenico Santambrogio	Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAs.	CoRR	2021	DBLP BibTeX RDF
21	Guillermo Oyarzun, Daniel Peyrolon, Carlos Álvarez 0001, Xavier Martorell	An FPGA cached sparse matrix vector product (SpMV) for unstructured computational fluid dynamics simulations.	CoRR	2021	DBLP BibTeX RDF
21	Takeshi Fukaya, Koki Ishida, Akie Miura, Takeshi Iwashita, Hiroshi Nakashima	Accelerating the SpMV kernel on standard CPUs by exploiting the partially diagonal structures.	CoRR	2021	DBLP BibTeX RDF
21	Christie L. Alappat, Nils Meyer, Jan Laukemann, Thomas Gruber, Georg Hager, Gerhard Wellein, Tilo Wettig	ECM modeling and performance tuning of SpMV and Lattice QCD on A64FX.	CoRR	2021	DBLP BibTeX RDF
21	Haodong Bian, Jianqiang Huang, Lingbin Liu, Dongqiang Huang, Xiaoying Wang 0002	ALBUS: A method for efficiently processing SpMV using SIMD and Load balancing.	Future Gener. Comput. Syst.	2021	DBLP DOI BibTeX RDF
21	Haodong Bian, Jianqiang Huang, Runting Dong, Yuluo Guo, Lingbin Liu, Dongqiang Huang, Xiaoying Wang 0002	A simple and efficient storage format for SIMD-accelerated SpMV.	Clust. Comput.	2021	DBLP DOI BibTeX RDF
21	Muhammad Hannan Khan, Osman Hassan, Shahid Khan 0002	Accelerating SpMV Multiplication in Probabilistic Model Checkers Using GPUs.	ICTAC	2021	DBLP DOI BibTeX RDF
21	Naveen Namashivavam, Sanyam Mehta, Pen-Chung Yew	Variable-Sized Blocks for Locality-Aware SpMV.	CGO	2021	DBLP DOI BibTeX RDF
21	Alberto Parravicini, Francesco Sgherzi, Marco D. Santambrogio	A reduced-precision streaming SpMV architecture for Personalized PageRank on FPGA.	ASP-DAC	2021	DBLP DOI BibTeX RDF
21	Jianhua Gao, Weixing Ji, Jie Liu, Senhao Shao, Yizhuo Wang, Feng Shi 0009	AMF-CSR: Adaptive Multi-Row Folding of CSR for SpMV on GPU.	ICPADS	2021	DBLP DOI BibTeX RDF
21	Mohsen Koohi Esfahani, Peter Kilpatrick, Hans Vandierendonck	Exploiting in-Hub Temporal Locality in SpMV-based Graph Processing.	ICPP	2021	DBLP DOI BibTeX RDF
21	Xiang Fei, Youhui Zhang	Regu2D: Accelerating Vectorization of SpMV on Intel Processors through 2D-partitioning and Regular Arrangement.	ICPP	2021	DBLP DOI BibTeX RDF
21	Constantino Gómez, Filippo Mantovani, Erich Focht, Marc Casas	Efficiently running SpMV on long vector architectures.	PPoPP	2021	DBLP DOI BibTeX RDF
21	Stephen L. Olivier, Nathan D. Ellingwood, Jonathan W. Berry, Daniel M. Dunlavy	Performance Portability of an SpMV Kernel Across Scientific Computing and Data Science Applications.	HPEC	2021	DBLP DOI BibTeX RDF
21	Mahesh Mahadurkar, Nalesh Sivanandan, S. Kala	Hardware Acceleration of SpMV Multiplier for Deep Learning.	VDAT	2021	DBLP DOI BibTeX RDF
21	Federico Favaro, Juan P. Oliver, Pablo Ezzatti	Unleashing the computational power of FPGAs to efficiently perform SPMV operation.	SCCC	2021	DBLP DOI BibTeX RDF
21	Siying Feng, Jiawen Sun, Subhankar Pal, Xin He, Kuba Kaszyk, Dong-Hyeon Park, John Magnus Morton, Trevor N. Mudge, Murray Cole, Michael F. P. O'Boyle, Chaitali Chakrabarti, Ronald G. Dreslinski	CoSPARSE: A Software and Hardware Reconfigurable SpMV Framework for Graph Analytics.	DAC	2021	DBLP DOI BibTeX RDF
21	Chenyang Li, Tian Xia 0008, Wenzhe Zhao, Nanning Zheng 0001, Pengju Ren	SpV8: Pursuing Optimal Vectorization and Regular Computation Pattern in SpMV.	DAC	2021	DBLP DOI BibTeX RDF
21	Alberto Parravicini, Luca Giuseppe Cellamare, Marco Siracusa, Marco D. Santambrogio	Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAs.	DAC	2021	DBLP DOI BibTeX RDF
21	Guoqing Xiao 0001, Yuedan Chen, Chubo Liu, Xu Zhou	ahSpMV: An Autotuning Hybrid Computing Scheme for SpMV on the Sunway Architecture.	IEEE Internet Things J.	2020	DBLP DOI BibTeX RDF
21	Akrem Benatia, Weixing Ji, Yizhuo Wang, Feng Shi 0009	Sparse matrix partitioning for optimizing SpMV on CPU-GPU heterogeneous platforms.	Int. J. High Perform. Comput. Appl.	2020	DBLP DOI BibTeX RDF
21	Weijie Zhou, Yue Zhao 0011, Xipeng Shen, Wang Chen	Enabling Runtime SpMV Format Selection through an Overhead Conscious Method.	IEEE Trans. Parallel Distributed Syst.	2020	DBLP DOI BibTeX RDF
21	Mohammad Almasri, Walid A. Abu-Sufah	CCF: An efficient SpMV storage format for AVX512 platforms.	Parallel Comput.	2020	DBLP DOI BibTeX RDF
21	Alberto Parravicini, Francesco Sgherzi, Marco D. Santambrogio	A reduced-precision streaming SpMV architecture for Personalized PageRank on FPGA.	CoRR	2020	DBLP BibTeX RDF
21	Min Li, Yulong Ao, Chao Yang 0002	Adaptive SpMV/SpMSpV on GPUs for Input Vectors of Varied Sparsity.	CoRR	2020	DBLP BibTeX RDF
21	Sandra Catalán, Tetsuzo Usui, Leonel Toledo, Xavier Martorell, Jesús Labarta, Pedro Valero-Lara	Towards an Auto-Tuned and Task-Based SpMV (LASs Library).	IWOMP	2020	DBLP DOI BibTeX RDF
21	Brian A. Page, Peter M. Kogge	Scalability of Sparse Matrix Dense Vector Multiply (SpMV) on a Migrating Thread Architecture.	IPDPS Workshops	2020	DBLP DOI BibTeX RDF
21	Haodong Bian, Jianqiang Huang, Runting Dong, Lingbin Liu, Xiaoying Wang 0002	CSR2: A New Format for SIMD-accelerated SpMV.	CCGRID	2020	DBLP DOI BibTeX RDF
21	Reo Furuhata, Minglu Zhao, Mulya Agung, Ryusuke Egawa, Hiroyuki Takizawa	Improving the Accuracy in SpMV Implementation Selection with Machine Learning.	CANDAR (Workshops)	2020	DBLP DOI BibTeX RDF
21	Serif Yesil, Azin Heidarshenas, Adam Morrison 0001, Josep Torrellas	Speeding up SpMV for power-law graph analytics by enhancing locality & vectorization.	SC	2020	DBLP DOI BibTeX RDF
21	Haodong Bian, Gangsheng Li, Linbing Liu, Dongqiang Huang, Runting Dong, Jianqiang Huang	Research on Accelerating the Performance of SpMV Based on AVX2 Instruction Set.	HPCCT/BDAI	2020	DBLP DOI BibTeX RDF
21	Edoardo Coronado-Barrientos, Guillermo Indalecio Fernández, Antonio J. García-Loureiro	AXC: A new format to perform the SpMV oriented to Intel Xeon Phi architecture in OpenCL.	Concurr. Comput. Pract. Exp.	2019	DBLP DOI BibTeX RDF
21	Sardar Usman, Rashid Mehmood, Iyad A. Katib, Aiiad Albeshri	ZAKI+: A Machine Learning Based Process Mapping Tool for SpMV Computations on Distributed Memory Architectures.	IEEE Access	2019	DBLP DOI BibTeX RDF
21	Fazle Sadi, Joe Sweeney, Tze Meng Low, James C. Hoe, Larry T. Pileggi, Franz Franchetti	Efficient SpMV Operation for Large and Highly Sparse Matrices using Scalable Multi-way Merge Parallelization.	MICRO	2019	DBLP DOI BibTeX RDF
21	Yuedan Chen, Guoqing Xiao 0001, Zheng Xiao, Wangdong Yang	hpSpMV: A Heterogeneous Parallel Computing Scheme for SpMV on the Sunway TaihuLight Supercomputer.	HPCC/SmartCity/DSS	2019	DBLP DOI BibTeX RDF