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Performance Analysis of Sparse Matrix-Vector Multiplication (SpMV) on Graphics Processing Units (GPUs)

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Experiments with quadtree representation of matrices
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Parallel Iterative Solution of Large Sparse Linear Equation Systems on the Intel MIC Architecture
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Performance Characteristics for Sparse Matrix-Vector Multiplication on GPUs
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Smart Societies, Infrastructure, Technologies and Applications
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Performance Evaluation of Jacobi Iterative Solution for Sparse Linear Equation System on Multicore and Manycore Architectures
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Parallel Sparse Matrix Vector Multiplication on Intel MIC: Performance Analysis
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A Markovian Model of a Network of Two Wireless Devices
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Parallel Processing and Applied Mathematics
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Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi
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An Efficient Representation on GPU for Transition Rate Matrices for Markov Chains
inferredcites →https://doi.org/10.1007/s11036-019-01318-3openalex-snapshot
ZAKI: A Smart Method and Tool for Automatic Performance Optimization of Parallel SpMV Computations on Distributed Memory Machines
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Efficient implementation of Jacobi iterative method for large sparse linear systems on graphic processing units
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Accelerating genetic algorithms with GPU computing: A selective overview
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Efficient sparse matrix–vector multiplication using cache oblivious extension quadtree storage format
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Multimedia applications over metropolitan area networks (MANs)
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A hybrid computing method of SpMV on CPU–GPU heterogeneous computing systems
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Efficient multithreaded untransposed, transposed or symmetric sparse matrix–vector multiplication with the Recursive Sparse Blocks format
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Big Data Logistics: A health-care Transport Capacity Sharing Model
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A Symbolic Out-of-Core Solution Method for Markov Models
inferredcites →https://doi.org/10.1108/17410381111149657openalex-snapshot
Computational Markovian analysis of large systems
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UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities
inferredcites →https://doi.org/10.1109/access.2019.2923565openalex-snapshot
ZAKI+: A Machine Learning Based Process Mapping Tool for SpMV Computations on Distributed Memory Architectures
inferredcites →https://doi.org/10.1109/fccm.2009.44openalex-snapshot
Exploiting Matrix Symmetry to Improve FPGA-Accelerated Conjugate Gradient
inferredcites →https://doi.org/10.1109/fccm.2012.12openalex-snapshot
Towards a Universal FPGA Matrix-Vector Multiplication Architecture
inferredcites →https://doi.org/10.1109/fccm.2015.30openalex-snapshot
Accelerating SpMV on FPGAs by Compressing Nonzero Values
inferredcites →https://doi.org/10.1109/fpl.2016.7577352openalex-snapshot
Optimising Sparse Matrix Vector multiplication for large scale FEM problems on FPGA
inferredcites →https://doi.org/10.1109/fpt.2009.5377625openalex-snapshot
Reconfigurable sparse/dense matrix-vector multiplier
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Fast sparse matrix-vector multiplication on graphics processing unit for finite element analysis
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An Effective Approach for Implementing Sparse Matrix-Vector Multiplication on Graphics Processing Units
inferredcites →https://doi.org/10.1109/hpcsim.2015.7237032openalex-snapshot
Efficient storage scheme for n-dimensional sparse array: GCRS/GCCS
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Performance Evaluation of a Metro WDM Multi-channel Ring Network with Variable-length Packets
inferredcites →https://doi.org/10.1109/iccis.2010.285openalex-snapshot
Auto-Tuning CUDA Parameters for Sparse Matrix-Vector Multiplication on GPUs
inferredcites →https://doi.org/10.1109/iccsnt.2012.6526085openalex-snapshot
A new method of Sparse Matrix-Vector Multiplication on GPU
inferredcites →https://doi.org/10.1109/icpp.2016.64openalex-snapshot
Sparse Matrix Format Selection with Multiclass SVM for SpMV on GPU
inferredcites →https://doi.org/10.1109/iisa.2015.7388040openalex-snapshot
Efficient solution of large sparse linear systems in modern hardware
inferredcites →https://doi.org/10.1109/infocom41043.2020.9155237openalex-snapshot
Distributed Inference Acceleration with Adaptive DNN Partitioning and Offloading
inferredcites →https://doi.org/10.1109/ipdpsw.2013.219openalex-snapshot
Energy-Efficient Sparse Matrix Autotuning with CSX -- A Trade-off Study
inferredcites →https://doi.org/10.1109/ipdpsw.2017.155openalex-snapshot
Auto-Tuning Strategies for Parallelizing Sparse Matrix-Vector (SpMV) Multiplication on Multi- and Many-Core Processors
inferredcites →https://doi.org/10.1109/ipdpsw.2018.00164openalex-snapshot
Effective Machine Learning Based Format Selection and Performance Modeling for SpMV on GPUs
inferredcites →https://doi.org/10.1109/isca.2002.1003556openalex-snapshot
Proceedings 29th Annual International Symposium on Computer Architecture
inferredcites →https://doi.org/10.1109/isms.2010.84openalex-snapshot
A Quantitative Model of Grid Systems Performance in Healthcare Organisations
inferredcites →https://doi.org/10.1109/jproc.2008.917757openalex-snapshot
GPU Computing
inferredcites →https://doi.org/10.1109/jsac.1986.1146393openalex-snapshot
A Markov Modulated Characterization of Packetized Voice and Data Traffic and Related Statistical Multiplexer Performance
inferredcites →https://doi.org/10.1109/mascot.2004.1348189openalex-snapshot
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inferredcites →https://doi.org/10.1109/mascots.2006.8openalex-snapshot
A Parallel Implicit Method for the Steady-State Solution of CTMCs
inferredcites →https://doi.org/10.1109/nas.2013.41openalex-snapshot
Analysis of Sparse Matrix-Vector Multiplication Using Iterative Method in CUDA
inferredcites →https://doi.org/10.1109/ondm.2008.4578420openalex-snapshot
A data Mirroring technique for SANs in a Metro WDM sectioned ring
inferredcites →https://doi.org/10.1109/sc.2014.69openalex-snapshot
Fast Sparse Matrix-Vector Multiplication on GPUs for Graph Applications
inferredcites →https://doi.org/10.1109/sc.2016.57openalex-snapshot
Merge-Based Parallel Sparse Matrix-Vector Multiplication
inferredcites →https://doi.org/10.1109/synasc.2013.52openalex-snapshot
Space Efficient Formats for Structure of Sparse Matrices Based on Tree Structures
inferredcites →https://doi.org/10.1109/tpds.2013.123openalex-snapshot
A Performance Modeling and Optimization Analysis Tool for Sparse Matrix-Vector Multiplication on GPUs
inferredcites →https://doi.org/10.1109/tpds.2014.2308221openalex-snapshot
Performance Analysis and Optimization for SpMV on GPU Using Probabilistic Modeling
inferredcites →https://doi.org/10.1109/tpds.2015.2401575openalex-snapshot
Evaluation Criteria for Sparse Matrix Storage Formats
inferredcites →https://doi.org/10.1137/130930352openalex-snapshot
A Unified Sparse Matrix Data Format for Efficient General Sparse Matrix-Vector Multiplication on Modern Processors with Wide SIMD Units
inferredcites →https://doi.org/10.1137/s0036144503424786openalex-snapshot
A Survey of Eigenvector Methods for Web Information Retrieval
inferredcites →https://doi.org/10.1145/1046192.1046203openalex-snapshot
Floating-point sparse matrix-vector multiply for FPGAs
inferredcites →https://doi.org/10.1145/1693453.1693471openalex-snapshot
Model-driven autotuning of sparse matrix-vector multiply on GPUs
inferredcites →https://doi.org/10.1145/1837853.1693471openalex-snapshot
Model-driven autotuning of sparse matrix-vector multiply on GPUs
inferredcites →https://doi.org/10.1145/2000832.2000834openalex-snapshot
Optimizing memory bandwidth use and performance for matrix-vector multiplication in iterative methods
inferredcites →https://doi.org/10.1145/2049662.2049663openalex-snapshot
The university of Florida sparse matrix collection
inferredcites →https://doi.org/10.1145/2304576.2304624openalex-snapshot
clSpMV
inferredcites →https://doi.org/10.1145/2464996.2465013openalex-snapshot
Efficient sparse matrix-vector multiplication on x86-based many-core processors
inferredcites →https://doi.org/10.1145/2491956.2462181openalex-snapshot
SMAT
inferredcites →https://doi.org/10.1145/2499370.2462181openalex-snapshot
SMAT
inferredcites →https://doi.org/10.1145/2554688.2554785openalex-snapshot
A scalable sparse matrix-vector multiplication kernel for energy-efficient sparse-blas on FPGAs
inferredcites →https://doi.org/10.1145/2555243.2555255openalex-snapshot
yaSpMV
inferredcites →https://doi.org/10.1145/2751205.2751209openalex-snapshot
CSR5
inferredcites →https://doi.org/10.1145/2751205.2751244openalex-snapshot
Automatic Selection of Sparse Matrix Representation on GPUs
inferredcites →https://doi.org/10.1145/2788396openalex-snapshot
A Survey of CPU-GPU Heterogeneous Computing Techniques
inferredcites →https://doi.org/10.1145/2833179openalex-snapshot
Proceedings of the 5th Workshop on Irregular Applications: Architectures and Algorithms
inferredcites →https://doi.org/10.1145/2833179.2833185openalex-snapshot
Generalised vectorisation for sparse matrix
inferredcites →https://doi.org/10.1145/3017994openalex-snapshot
Sparse Matrix-Vector Multiplication on GPGPUs
inferredcites →https://doi.org/10.1145/3079856.3080215openalex-snapshot
Scalpel
inferredcites →https://doi.org/10.1145/3149704.3149767openalex-snapshot
Overcoming Load Imbalance for Irregular Sparse Matrices
inferredcites →https://doi.org/10.1145/3226228openalex-snapshot
BestSF
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Extrapolation methods for accelerating PageRank computations
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Extrapolation methods for accelerating PageRank computations
inferredcites →https://doi.org/10.1177/1094342012470469openalex-snapshot
Applications of the streamed storage format for sparse matrix operations
inferredcites →https://doi.org/10.1177/1094342015576774openalex-snapshot
Alinea: An Advanced Linear Algebra Library for Massively Parallel Computations on Graphics Processing Units
inferredcites →https://doi.org/10.1177/1094342019886628openalex-snapshot
Sparse matrix partitioning for optimizing SpMV on CPU-GPU heterogeneous platforms
inferredcites →https://doi.org/10.12694/scpe.v15i1.962openalex-snapshot
Tree-based Space Efficient Formats for Storing the Structure of Sparse Matrices
inferredcites →https://doi.org/10.1515/joc.2008.29.2.89openalex-snapshot
A Mirroring Strategy for SANs in a Metro WDM Sectioned Ring Architecture under Different Traffic Scenarios
inferredcites →https://doi.org/10.3390/app9050947openalex-snapshot
SURAA: A Novel Method and Tool for Loadbalanced and Coalesced SpMV Computations on GPUs
inferredcites →https://doi.org/10.3390/s19092206openalex-snapshot
Smarter Traffic Prediction Using Big Data, In-Memory Computing, Deep Learning and GPUs
inferredcites →https://doi.org/10.3390/su11102736openalex-snapshot
Rapid Transit Systems: Smarter Urban Planning Using Big Data, In-Memory Computing, Deep Learning, and GPUs
inferredcites →https://doi.org/10.48456/tr-650openalex-snapshot
Parallel iterative solution method for large sparse linear equation systems
inferredcites →https://doi.org/10.48550/arxiv.1511.02494openalex-snapshot
A lightweight optimization selection method for Sparse Matrix-Vector Multiplication
inferredcites →https://doi.org/10.48550/arxiv.1901.05758openalex-snapshot
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads
inferredcites →https://doi.org/10.5555/2738600.2738618openalex-snapshot
Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi
inferredcites →https://doi.org/10.5555/3014904.3014982openalex-snapshot
Merge-based parallel sparse matrix-vector multiplication

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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