On the public citation graph
Sparse Matrix-Vector Multiplication on GPGPUs
0 signed · 241 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpe.1658openalex-snapshot
A new approach for sparse matrix vector product on NVIDIA GPUs
inferredcites →https://doi.org/10.1002/cpe.1732openalex-snapshot
Generating optimal CUDA sparse matrix–vector product implementations for evolving GPU hardware
inferredcites →https://doi.org/10.1002/cpe.2978openalex-snapshot
A segment‐based sparse matrix–vector multiplication on CUDA
inferredcites →https://doi.org/10.1002/cpe.3217openalex-snapshot
Accurate cross‒architecture performance modeling for sparse matrix‒vector multiplication (SpMV) on GPUs
inferredcites →https://doi.org/10.1002/nme.4865openalex-snapshot
A new sparse matrix vector multiplication graphics processing unit algorithm designed for finite element problems
inferredcites →https://doi.org/10.1007/0-387-22750-4_4openalex-snapshot
Iterative Methods for Solving Linear Systems
inferredcites →https://doi.org/10.1007/3-540-60902-4_12openalex-snapshot
ScaLAPACK: A portable linear algebra library for distributed memory computers — Design issues and performance
inferredcites →https://doi.org/10.1007/978-3-540-85268-1openalex-snapshot
Numerical Approximation of Partial Differential Equations
inferredcites →https://doi.org/10.1007/978-3-642-01970-8_90openalex-snapshot
Fast Conjugate Gradients with Multiple GPUs
inferredcites →https://doi.org/10.1007/978-3-642-03138-0_32openalex-snapshot
Implementing Blocked Sparse Matrix-Vector Multiplication on NVIDIA GPUs
inferredcites →https://doi.org/10.1007/978-3-642-11515-8_10openalex-snapshot
Automatically Tuning Sparse Matrix-Vector Multiplication for GPU Architectures
inferredcites →https://doi.org/10.1007/978-3-642-21887-3_42openalex-snapshot
Optimization of Sparse Matrix-Vector Multiplication by Auto Selecting Storage Schemes on GPU
inferredcites →https://doi.org/10.1007/978-3-642-38750-0_12openalex-snapshot
Auto-tuning of Sparse Matrix-Vector Multiplication on Graphics Processors
inferredcites →https://doi.org/10.1007/978-3-642-39640-3_15openalex-snapshot
Optimization of Sparse Matrix-Vector Multiplication for CRS Format on NVIDIA Kepler Architecture GPUs
inferredcites →https://doi.org/10.1007/s101070100263openalex-snapshot
Benchmarking optimization software with performance profiles
inferredcites →https://doi.org/10.1007/s11227-012-0825-3openalex-snapshot
GPU-accelerated preconditioned iterative linear solvers
inferredcites →https://doi.org/10.1016/0378-4754(87)90091-7openalex-snapshot
Numerical approximation of partial differential equations
inferredcites →https://doi.org/10.1016/b978-0-444-88621-7.50001-3openalex-snapshot
Advances in Parallel Computing
inferredcites →https://doi.org/10.1016/c2010-0-65709-9openalex-snapshot
GPU Computing Gems Emerald Edition
inferredcites →https://doi.org/10.1016/j.cam.2015.04.035openalex-snapshot
A parallel generalized relaxation method for high-performance image segmentation on GPUs
inferredcites →https://doi.org/10.1016/j.jpdc.2014.03.002openalex-snapshot
BiELL: A bisection ELLPACK-based storage format for optimizing SpMV on GPUs
inferredcites →https://doi.org/10.1016/j.jpdc.2014.11.001openalex-snapshot
A model-driven blocking strategy for load balanced sparse matrix–vector multiplication on GPUs
inferredcites →https://doi.org/10.1016/j.jpdc.2016.03.011openalex-snapshot
Optimization techniques for sparse matrix–vector multiplication on GPUs
inferredcites →https://doi.org/10.1016/j.micpro.2011.05.005openalex-snapshot
Optimization of sparse matrix–vector multiplication using reordering techniques on GPUs
inferredcites →https://doi.org/10.1016/j.parco.2008.12.006openalex-snapshot
Optimization of sparse matrix-vector multiplication on emerging multicore platforms
inferredcites →https://doi.org/10.1016/j.parco.2011.08.003openalex-snapshot
Automatic tuning of the sparse matrix vector product on GPUs based on the ELLR-T approach
inferredcites →https://doi.org/10.1016/j.parco.2012.07.002openalex-snapshot
Analysis and performance estimation of the Conjugate Gradient method on multiple GPUs
inferredcites →https://doi.org/10.1016/j.parco.2013.09.005openalex-snapshot
CUDA-enabled Sparse Matrix–Vector Multiplication on GPUs using atomic operations
inferredcites →https://doi.org/10.1080/17445760802337010openalex-snapshot
Concurrent number cruncher: a GPU implementation of a general sparse linear solver
inferredcites →https://doi.org/10.1109/asap.2015.7245713openalex-snapshot
LightSpMV: Faster CSR-based sparse matrix-vector multiplication on CUDA-enabled GPUs
inferredcites →https://doi.org/10.1109/hipc.2009.5433184openalex-snapshot
Acceleration of conjugate gradient method for circuit simulation using CUDA
inferredcites →https://doi.org/10.1109/hipc.2015.55openalex-snapshot
Structural Agnostic SpMV: Adapting CSR-Adaptive for Irregular Matrices
inferredcites →https://doi.org/10.1109/hpcc.2010.67openalex-snapshot
Optimizing Sparse Matrix Vector Multiplication Using Diagonal Storage Matrix Format
inferredcites →https://doi.org/10.1109/hpcc.2010.85openalex-snapshot
Sparse Matrix Formats Evaluation and Optimization on a GPU
inferredcites →https://doi.org/10.1109/hpcc.2012.192openalex-snapshot
An Efficient Sparse Matrix Multiplication for Skewed Matrix on GPU
inferredcites →https://doi.org/10.1109/hpcc.2012.193openalex-snapshot
Fast sparse matrix-vector multiplication on graphics processing unit for finite element analysis
inferredcites →https://doi.org/10.1109/hpcc.2012.68openalex-snapshot
An Effective Approach for Implementing Sparse Matrix-Vector Multiplication on Graphics Processing Units
inferredcites →https://doi.org/10.1109/iccasm.2010.5623237openalex-snapshot
Implementing Sparse Matrix-Vector multiplication using CUDA based on a hybrid sparse matrix format
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/iccse.2012.28openalex-snapshot
Automatic Tuning of Sparse Matrix-Vector Multiplication for CRS Format on GPUs
inferredcites →https://doi.org/10.1109/icetc.2010.5529724openalex-snapshot
Optimizing sparse matrix-vector multiplication on CUDA
inferredcites →https://doi.org/10.1109/icpads.2011.91openalex-snapshot
Optimization of Sparse Matrix-Vector Multiplication with Variant CSR on GPUs
inferredcites →https://doi.org/10.1109/icpp.2009.21openalex-snapshot
Perfomance Models for Blocked Sparse Matrix-Vector Multiplication Kernels
inferredcites →https://doi.org/10.1109/icpp.2011.53openalex-snapshot
Optimizing SpMV for Diagonal Sparse Matrices on GPU
inferredcites →https://doi.org/10.1109/icpp.2011.82openalex-snapshot
Accelerating Sparse Matrix Vector Multiplication in Iterative Methods Using GPU
inferredcites →https://doi.org/10.1109/icpp.2013.10openalex-snapshot
AdELL: An Adaptive Warp-Balancing ELL Format for Efficient Sparse Matrix-Vector Multiplication on GPUs
inferredcites →https://doi.org/10.1109/inpar.2012.6339602openalex-snapshot
Efficient sparse matrix-vector multiplication on cache-based GPUs
inferredcites →https://doi.org/10.1109/ipdpsw.2012.211openalex-snapshot
Sparse Matrix-vector Multiplication on GPGPU Clusters: A New Storage Format and a Scalable Implementation
inferredcites →https://doi.org/10.1109/ipdpsw.2013.271openalex-snapshot
GPU-Based Steady-State Solution of the Chemical Master Equation
inferredcites →https://doi.org/10.1109/ipdpsw.2014.106openalex-snapshot
CoAdELL: Adaptivity and Compression for Improving Sparse Matrix-Vector Multiplication on GPUs
inferredcites →https://doi.org/10.1109/ipemc.2012.6259153openalex-snapshot
An improved sparse matrix-vector multiplication kernel for solving modified equation in large scale power flow calculation on CUDA
inferredcites →https://doi.org/10.1109/sc.2008.5214359openalex-snapshot
Benchmarking GPUs to tune dense linear algebra
inferredcites →https://doi.org/10.1109/sc.2014.68openalex-snapshot
Efficient Sparse Matrix-Vector Multiplication on GPUs Using the CSR Storage Format
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/snpd.2012.20openalex-snapshot
Optimizing Sparse Matrix Vector Multiplication Using Cache Blocking Method on Fermi GPU
inferredcites →https://doi.org/10.1109/tc.2014.2366731openalex-snapshot
Performance Optimization Using Partitioned SpMV on GPUs and Multicore CPUs
inferredcites →https://doi.org/10.1109/tmag.2010.2043511openalex-snapshot
Finite-Element Sparse Matrix Vector Multiplication on Graphic Processing Units
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.2014.2357437openalex-snapshot
A Family of Bit-Representation-Optimized Formats for Fast Sparse Matrix-Vector Multiplication on the GPU
inferredcites →https://doi.org/10.1109/tpds.2015.2401575openalex-snapshot
Evaluation Criteria for Sparse Matrix Storage Formats
inferredcites →https://doi.org/10.1111/j.1467-8659.2012.03227.xopenalex-snapshot
Efficient GPU Data Structures and Methods to Solve Sparse Linear Systems in Dynamics Applications
inferredcites →https://doi.org/10.1137/1.9780898717839openalex-snapshot
Finite Difference Methods for Ordinary and Partial Differential Equations
inferredcites →https://doi.org/10.1137/1.9780898718003openalex-snapshot
Iterative Methods for Sparse Linear Systems
inferredcites →https://doi.org/10.1137/1.9781611970937openalex-snapshot
Iterative Methods for Solving Linear Systems
inferredcites →https://doi.org/10.1137/1.9781611970944openalex-snapshot
Iterative Methods for Linear and Nonlinear Equations
inferredcites →https://doi.org/10.1137/12088313xopenalex-snapshot
Improving the Communication Pattern in Matrix-Vector Operations for Large Scale-Free Graphs by Disaggregation
inferredcites →https://doi.org/10.1137/120900216openalex-snapshot
Compressed Multirow Storage Format for Sparse Matrices on Graphics Processing Units
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/10.1145/1198555.1198781openalex-snapshot
Sparse matrix solvers on the GPU
inferredcites →https://doi.org/10.1145/1365490.1365500openalex-snapshot
Scalable Parallel Programming with CUDA
inferredcites →https://doi.org/10.1145/1654059.1654078openalex-snapshot
Implementing sparse matrix-vector multiplication on throughput-oriented processors
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/10.1145/1964179.1964196openalex-snapshot
Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation
inferredcites →https://doi.org/10.1145/2049662.2049663openalex-snapshot
The university of Florida sparse matrix collection
inferredcites →https://doi.org/10.1145/2159430.2159436openalex-snapshot
High-performance sparse matrix-vector multiplication on GPUs for structured grid computations
inferredcites →https://doi.org/10.1145/2331130.2331131openalex-snapshot
Object-Oriented Techniques for Sparse Matrix Computations in Fortran 2003
inferredcites →https://doi.org/10.1145/2503210.2503234openalex-snapshot
Accelerating sparse matrix-vector multiplication on GPUs using bit-representation-optimized schemes
inferredcites →https://doi.org/10.1145/2751205.2751244openalex-snapshot
Automatic Selection of Sparse Matrix Representation on GPUs
inferredcites →https://doi.org/10.1145/275323.275327openalex-snapshot
Level 3 basic linear algebra subprograms for sparse matrices
inferredcites →https://doi.org/10.1145/882262.882364openalex-snapshot
Sparse matrix solvers on the GPU
inferredcites →https://doi.org/10.1155/2014/469753openalex-snapshot
Design Patterns for Sparse-Matrix Computations on Hybrid CPU/GPU Platforms
inferredcites →https://doi.org/10.1177/1094342013501126openalex-snapshot
Optimization of quasi-diagonal matrix–vector multiplication on GPU
inferredcites →https://doi.org/10.1177/1094342016646844openalex-snapshot
Optimization and performance evaluation of the IDR iterative Krylov solver on GPUs
inferredcites →https://doi.org/10.1201/9781482234213openalex-snapshot
Numerical Heat Transfer and Fluid Flow
inferredcites →https://doi.org/10.1201/b10376-15openalex-snapshot
Sparse Matrix-Vector Multiplication on Multicore and Accelerators
inferredcites →https://doi.org/10.1201/b10376-8openalex-snapshot
Sparse Matrix-Vector Multiplication on Multicore and Accelerators
inferredcites →https://doi.org/10.12694/scpe.v13i2.777openalex-snapshot
New Sparse Matrix Storage Format to Improve The Performance of Total SPMV Time
inferredcites →https://doi.org/10.13182/nse81-a20112openalex-snapshot
Numerical Heat Transfer and Fluid Flow
inferredcites →https://doi.org/10.14778/1938545.1938548openalex-snapshot
Fast sparse matrix-vector multiplication on GPUs
inferredcites →https://doi.org/10.2528/pier11031607openalex-snapshot
A MEMORY EFFICIENT AND FAST SPARSE MATRIX VECTOR PRODUCT ON A GPU
inferredcites →https://doi.org/10.3233/978-1-60750-530-3-307openalex-snapshot
Generalized GEMM Kernels on GPGPUs: Experiments and Applications
inferredcites →https://doi.org/10.3233/978-1-61499-381-0-203openalex-snapshot
Heterogeneous Sparse Matrix Computations on Hybrid GPU/CPU Platforms
inferredcites →https://doi.org/10.48550/arxiv.1012.2270openalex-snapshot
New Row-grouped CSR format for storing the sparse matrices on GPU with implementation in CUDA
inferredcites →https://doi.org/10.5555/1413370.1413402openalex-snapshot
Benchmarking GPUs to tune dense linear algebra
inferredcites →https://doi.org/10.5860/choice.33-4556openalex-snapshot
Iterative methods for linear and nonlinear equations
inferredcites →https://doi.org/10.5860/choice.45-4438openalex-snapshot
Finite difference methods for ordinary and partial differential equations: steady-state and time-dependent problems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/acm2.12835openalex-snapshot
A fast robust optimizer for intensity modulated proton therapy using GPU
inferred← citeshttps://doi.org/10.1002/cpe.4701openalex-snapshot
A sparse matrix‐vector multiplication method with low preprocessing cost
inferred← citeshttps://doi.org/10.1002/cpe.5207openalex-snapshot
Accelerating the finite element analysis of functionally graded materials using fixed‐grid strategy on CUDA‐enabled GPUs
inferred← citeshttps://doi.org/10.1002/cpe.6230openalex-snapshot
A new diagonal storage for efficient implementation of sparse matrix–vector multiplication on graphics processing unit
inferred← citeshttps://doi.org/10.1002/cpe.6515openalex-snapshot
Compression and load balancing for efficient sparse matrix‐vector product on multicore processors and graphics processing units
inferred← citeshttps://doi.org/10.1002/cpe.7871openalex-snapshot
Sparse matrix‐vector and matrix‐multivector products for the truncated SVD on graphics processors
inferred← citeshttps://doi.org/10.1002/cpe.8366openalex-snapshot
Recursive Hybrid Compression for Sparse Matrix‐Vector Multiplication on GPU
inferred← citeshttps://doi.org/10.1002/nme.7421openalex-snapshot
Development of GPU‐based matrix‐free strategies for large‐scale elastoplasticity analysis using conjugate gradient solver
inferred← citeshttps://doi.org/10.1007/978-3-030-13705-2_17openalex-snapshot
Performance Characteristics for Sparse Matrix-Vector Multiplication on GPUs
inferred← citeshttps://doi.org/10.1007/978-3-030-43229-4_19openalex-snapshot
Improving Locality-Aware Scheduling with Acyclic Directed Graph Partitioning
inferred← citeshttps://doi.org/10.1007/978-3-030-71593-9_7openalex-snapshot
Balanced and Compressed Coordinate Layout for the Sparse Matrix-Vector Product on GPUs
inferred← citeshttps://doi.org/10.1007/978-3-030-78759-2_28openalex-snapshot
Computing the Sparse Matrix-Vector Product in High-Precision Arithmetic for GPU Architectures
inferred← citeshttps://doi.org/10.1007/978-3-030-79478-1_20openalex-snapshot
NUMA-Aware Optimization of Sparse Matrix-Vector Multiplication on ARMv8-Based Many-Core Architectures
inferred← citeshttps://doi.org/10.1007/978-3-031-43085-5_12openalex-snapshot
Observe Locally, Classify Globally: Using GNNs to Identify Sparse Matrix Structure
inferred← citeshttps://doi.org/10.1007/978-3-031-95709-3_17openalex-snapshot
PSCToolkit: Solving Sparse Linear Systems with a Large Number of GPUs
inferred← citeshttps://doi.org/10.1007/978-3-319-96983-1_48openalex-snapshot
Design Principles for Sparse Matrix Multiplication on the GPU
inferred← citeshttps://doi.org/10.1007/978-981-13-5910-1_7openalex-snapshot
A Parallel Solving Algorithm on GPU for the Time-Domain Linear System with Diagonal Sparse Matrices
inferred← citeshttps://doi.org/10.1007/978-981-92-4805-6_26openalex-snapshot
ARROW: Adaptive Row Reorganization for Warp-Balanced SpMV
inferred← citeshttps://doi.org/10.1007/978-981-99-3033-3_4openalex-snapshot
Accelerating Finite Element Assembly on a GPU
inferred← citeshttps://doi.org/10.1007/s00466-018-1623-4openalex-snapshot
The spectral cell method for wave propagation in heterogeneous materials simulated on multiple GPUs and CPUs
inferred← citeshttps://doi.org/10.1007/s00500-023-08125-9openalex-snapshot
GPU implementation of an incomplete Cholesky conjugate gradient solver for a FEM-generated system using full kernel consolidation
inferred← citeshttps://doi.org/10.1007/s00607-020-00827-4openalex-snapshot
GPU-based matrix-free finite element solver exploiting symmetry of elemental matrices
inferred← citeshttps://doi.org/10.1007/s00607-026-01658-5openalex-snapshot
Sparse matrix–vector product on RISC-V processors with SIMD units
inferred← citeshttps://doi.org/10.1007/s10586-024-04966-7openalex-snapshot
Block strategy and adaptive storage for sparse matrix–vector multiplication on GPU
inferred← citeshttps://doi.org/10.1007/s11227-020-03489-3openalex-snapshot
DIESEL: A novel deep learning-based tool for SpMV computations and solving sparse linear equation systems
inferred← citeshttps://doi.org/10.1007/s11227-024-05949-6openalex-snapshot
Block-wise dynamic mixed-precision for sparse matrix-vector multiplication on GPUs
inferred← citeshttps://doi.org/10.1007/s11227-024-06394-1openalex-snapshot
A high-performance dynamic scheduling for sparse matrix-based applications on heterogeneous CPU–GPU environment
inferred← citeshttps://doi.org/10.1007/s11227-025-08022-yopenalex-snapshot
CPU and GPU performance of a restarted GMRES with randomized-SVD-based preconditioning
inferred← citeshttps://doi.org/10.1007/s12046-018-0892-0openalex-snapshot
GPGPU-based parallel computing applied in the FEM using the conjugate gradient algorithm: a review
inferred← citeshttps://doi.org/10.1016/j.cam.2015.04.035openalex-snapshot
A parallel generalized relaxation method for high-performance image segmentation on GPUs
inferred← citeshttps://doi.org/10.1016/j.cirpj.2022.12.012openalex-snapshot
Hybrid SPH-FEM solver for metal cutting simulations on the GPU including thermal contact modeling
inferred← citeshttps://doi.org/10.1016/j.cma.2022.115598openalex-snapshot
Dynamic non-local damage analysis using an octree pattern-based massively parallel explicit solver
inferred← citeshttps://doi.org/10.1016/j.compfluid.2024.106247openalex-snapshot
Lighter and faster simulations on domains with symmetries
inferred← citeshttps://doi.org/10.1016/j.future.2020.02.076openalex-snapshot
MMSparse: 2D partitioning of sparse matrix based on mathematical morphology
inferred← citeshttps://doi.org/10.1016/j.future.2026.108758openalex-snapshot
Efficient conversion of sparse matrix storage format
inferred← citeshttps://doi.org/10.1016/j.future.2026.108862openalex-snapshot
GPA-SpMV: A GPU-based general-purpose adaptive SpMV framework
inferred← citeshttps://doi.org/10.1016/j.jcde.2018.11.001openalex-snapshot
GPU-warp based finite element matrices generation and assembly using coloring method
inferred← citeshttps://doi.org/10.1016/j.jcp.2023.112133openalex-snapshot
Exploiting spatial symmetries for solving Poisson's equation
inferred← citeshttps://doi.org/10.1016/j.jocs.2022.101609openalex-snapshot
Multiple-precision sparse matrix–vector multiplication on GPUs
inferred← citeshttps://doi.org/10.1016/j.jpdc.2017.10.013openalex-snapshot
Performance considerations for scalable parallel tensor decomposition
inferred← citeshttps://doi.org/10.1016/j.jpdc.2020.05.020openalex-snapshot
Cache simulation for irregular memory traffic on multi-core CPUs: Case study on performance models for sparse matrix–vector multiplication
inferred← citeshttps://doi.org/10.1016/j.jpdc.2021.07.007openalex-snapshot
Adaptive diagonal sparse matrix-vector multiplication on GPU
inferred← citeshttps://doi.org/10.1016/j.matcom.2023.09.016openalex-snapshot
An efficient framework for matrix-free SpMV computation on GPU for elastoplastic problems
inferred← citeshttps://doi.org/10.1016/j.parco.2021.102831openalex-snapshot
Toward performance-portable PETSc for GPU-based exascale systems
inferred← citeshttps://doi.org/10.1016/j.softx.2024.101775openalex-snapshot
Morpheus: A library for efficient runtime switching of sparse matrix storage formats
inferred← citeshttps://doi.org/10.1088/1742-6596/1828/1/012013openalex-snapshot
Implementation of Multiple Precision Sparse Matrix-vector Multiplication on CUDA using ELLPACK Format
inferred← citeshttps://doi.org/10.1089/3dp.2024.0165openalex-snapshot
Fast Prediction of 3D Printing Optimal Orientation Using General-Purpose Graphic Processor Unit Calculation
inferred← citeshttps://doi.org/10.1093/jcde/qwae024openalex-snapshot
GPU parallel computation strategy for electrothermal coupling problems using improved assembly-free FEM
inferred← citeshttps://doi.org/10.1109/access.2018.2871219openalex-snapshot
A GPU Solver for Sparse Generalized Eigenvalue Problems With Symmetric Complex-Valued Matrices Obtained Using Higher-Order FEM
inferred← citeshttps://doi.org/10.1109/access.2023.3317293openalex-snapshot
Efficient and Compact Representations of Deep Neural Networks via Entropy Coding
inferred← citeshttps://doi.org/10.1109/access.2024.3425638openalex-snapshot
Exploring Attention Sparsity to Accelerate Transformer Training on GPUs
inferred← citeshttps://doi.org/10.1109/access.2024.3449914openalex-snapshot
Accelerated Finite Element Method Solver for RCS Analysis Using CUDA-Based Parallel Computing
inferred← citeshttps://doi.org/10.1109/asap65064.2025.00011openalex-snapshot
AIRES: Accelerating Out-of-Core GCNs via Algorithm-System Co-Design
inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9006323openalex-snapshot
Performance Optimization of SpMV on Spark
inferred← citeshttps://doi.org/10.1109/cgo57630.2024.10444812openalex-snapshot
Seer: Predictive Runtime Kernel Selection for Irregular Problems
inferred← citeshttps://doi.org/10.1109/dac63849.2025.11133082openalex-snapshot
Me-MPK: Accelerating Krylov Subspace Solvers via Memory-efficient Matrix-Power Kernel
inferred← citeshttps://doi.org/10.1109/dasip.2018.8596969openalex-snapshot
Efficient Solving of Markov Decision Processes on GPUs Using Parallelized Sparse Matrices
inferred← citeshttps://doi.org/10.1109/fpl60245.2023.00029openalex-snapshot
Accelerating SpMV on FPGAs Through Block-Row Compress: A Task-Based Approach
inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2019.00203openalex-snapshot
Towards Large-Scale Sparse Matrix-Vector Multiplication on the SW26010 Manycore Architecture
inferred← citeshttps://doi.org/10.1109/hpec49654.2021.9622869openalex-snapshot
Performance Portability of an SpMV Kernel Across Scientific Computing and Data Science Applications
inferred← citeshttps://doi.org/10.1109/hpec67600.2025.11196568openalex-snapshot
Optimizing Sparse Matrix-Vector Multiplication on GPUs using the Mathematics of Arrays
inferred← citeshttps://doi.org/10.1109/ia356718.2022.00009openalex-snapshot
Blocking Sparse Matrices to Leverage Dense-Specific Multiplication
inferred← citeshttps://doi.org/10.1109/iciea49774.2020.9101920openalex-snapshot
Notice of Removal: Evaluating Reconfigurable Hardware for Accelerating Industrial CT
inferred← citeshttps://doi.org/10.1109/icpads67057.2025.11323132openalex-snapshot
GCP-LP: A GPU-CPU Collaborative Framework for Accelerating Large-Scale Sparse Linear Programming
inferred← citeshttps://doi.org/10.1109/iiswc66894.2025.00030openalex-snapshot
ALPHA-PIM: Analysis of Linear Algebraic Processing for High-Performance Graph Applications on a Real Processing-In-Memory System
inferred← citeshttps://doi.org/10.1109/ipdps49936.2021.00016openalex-snapshot
TileSpMV: A Tiled Algorithm for Sparse Matrix-Vector Multiplication on GPUs
inferred← citeshttps://doi.org/10.1109/ipdps54959.2023.00072openalex-snapshot
Feature-based SpMV Performance Analysis on Contemporary Devices
inferred← citeshttps://doi.org/10.1109/ipdps57955.2024.00011openalex-snapshot
VNEC: A Vectorized Non-Empty Column Format for SpMV on CPUs
inferred← citeshttps://doi.org/10.1109/ipdpsw59300.2023.00125openalex-snapshot
Optimizing Sparse Linear Algebra Through Automatic Format Selection and Machine Learning
inferred← citeshttps://doi.org/10.1109/iscc50000.2020.9219668openalex-snapshot
Efficient Model Solving for Markov Decision Processes
inferred← citeshttps://doi.org/10.1109/itca52113.2020.00081openalex-snapshot
Research on Performance Optimization for Sparse Matrix-Vector Multiplication in Multi/Many-core Architecture
inferred← citeshttps://doi.org/10.1109/nemo.2017.7964259openalex-snapshot
GPU acceleration of block Krylov methods for FEM problems in electromagnetics
inferred← citeshttps://doi.org/10.1109/p3hpc56579.2022.00010openalex-snapshot
Exploiting dynamic sparse matrices for performance portable linear algebra operations
inferred← citeshttps://doi.org/10.1109/p3hpc56579.2022.00011openalex-snapshot
Performance Portability of Sparse Block Diagonal Matrix Multiple Vector Multiplications on GPUs
inferred← citeshttps://doi.org/10.1109/qce57702.2023.00055openalex-snapshot
Hiperwalk: Simulation of Quantum Walks with Heterogeneous High-Performance Computing
inferred← citeshttps://doi.org/10.1109/ri2c67120.2025.11282686openalex-snapshot
Revisiting the Impact of Matrix Structure on Storage Format SpMV Performance
inferred← citeshttps://doi.org/10.1109/sc.2016.57openalex-snapshot
Merge-Based Parallel Sparse Matrix-Vector Multiplication
inferred← citeshttps://doi.org/10.1109/sc41404.2022.00071openalex-snapshot
AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices
inferred← citeshttps://doi.org/10.1109/sc41406.2024.00060openalex-snapshot
High Performance Unstructured SpMM Computation Using Tensor Cores
inferred← citeshttps://doi.org/10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00074openalex-snapshot
Row-Segmented Sparse-Dense Matrix Matrix Multiplication on GPUs
inferred← citeshttps://doi.org/10.1109/smc58881.2025.11343539openalex-snapshot
A Jacobi-based Conjugate Gradient Solver for Sparse Linear Systems on Multi-GPUs
inferred← citeshttps://doi.org/10.1109/tpds.2019.2907537openalex-snapshot
CASpMV: A Customized and Accelerative SpMV Framework for the Sunway TaihuLight
inferred← citeshttps://doi.org/10.1109/tpds.2022.3177291openalex-snapshot
VCSR: An Efficient GPU Memory-Aware Sparse Format
inferred← citeshttps://doi.org/10.1109/tpds.2022.3223512openalex-snapshot
Level-Based Blocking for Sparse Matrices: Sparse Matrix-Power-Vector Multiplication
inferred← citeshttps://doi.org/10.1109/tpds.2023.3287238openalex-snapshot
A Multi-GPU Aggregation-Based AMG Preconditioner for Iterative Linear Solvers
inferred← citeshttps://doi.org/10.1109/tpds.2024.3477431openalex-snapshot
FastLoad: Speeding Up Data Loading of Both Sparse Matrix and Vector for SpMV on GPUs
inferred← citeshttps://doi.org/10.1109/tpds.2025.3575106openalex-snapshot
GraFetch: Accelerating Graph Applications Through Domain Specific Hierarchical Hybrid Prefetching
inferred← citeshttps://doi.org/10.1134/s1064230718010033openalex-snapshot
Decomposition in Multidimensional Boolean-Optimization Problems with Sparse Matrices
inferred← citeshttps://doi.org/10.1137/20m134914xopenalex-snapshot
AMG Preconditioners for Linear Solvers towards Extreme Scale
inferred← citeshttps://doi.org/10.1142/s0129626419500014openalex-snapshot
Efficient Algebraic Multigrid Preconditioners on Clusters of GPUs
inferred← citeshttps://doi.org/10.1145/3079079.3079086openalex-snapshot
Globally homogeneous, locally adaptive sparse matrix-vector multiplication on the GPU
inferred← citeshttps://doi.org/10.1145/3218823openalex-snapshot
Design and Implementation of Adaptive SpMV Library for Multicore and Many-Core Architecture
inferred← citeshttps://doi.org/10.1145/3232850openalex-snapshot
Hierarchical Matrix Operations on GPUs
inferred← citeshttps://doi.org/10.1145/3372153openalex-snapshot
Runtime Adaptation in Wireless Sensor Nodes Using Structured Learning
inferred← citeshttps://doi.org/10.1145/3380930openalex-snapshot
Load-balancing Sparse Matrix Vector Product Kernels on GPUs
inferred← citeshttps://doi.org/10.1145/3458744.3474049openalex-snapshot
Explaining the Performance of Supervised and Semi-Supervised Methods for Automated Sparse Matrix Format Selection
inferred← citeshttps://doi.org/10.1145/3466795openalex-snapshot
GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU
inferred← citeshttps://doi.org/10.1145/3571157openalex-snapshot
A Systematic Survey of General Sparse Matrix-matrix Multiplication
inferred← citeshttps://doi.org/10.1145/3572774openalex-snapshot
Retracted March 9, 2026: Parallel Finite Field Algorithms for Communications and Sensor Networks
inferred← citeshttps://doi.org/10.1145/3572848.3577434openalex-snapshot
A Programming Model for GPU Load Balancing
inferred← citeshttps://doi.org/10.1145/3588195.3593002openalex-snapshot
Efficient Algorithm Design of Optimizing SpMV on GPU
inferred← citeshttps://doi.org/10.1145/3613424.3623790openalex-snapshot
HARP: Hardware-Based Pseudo-Tiling for Sparse Matrix Multiplication Accelerator
inferred← citeshttps://doi.org/10.1145/3673038.3673042openalex-snapshot
CAMLB-SpMV: An Efficient Cache-Aware Memory Load-Balancing SpMV on CPU
inferred← citeshttps://doi.org/10.1145/3673038.3673055openalex-snapshot
Bitmap-Based Sparse Matrix-Vector Multiplication with Tensor Cores
inferred← citeshttps://doi.org/10.1145/3721145.3725746openalex-snapshot
CB-SpMV:A Data Aggregating and Balance Algorithm for for Cache-Friendly Block-Based SpMV on GPUs
inferred← citeshttps://doi.org/10.1145/3721145.3725767openalex-snapshot
DIV: An Index & Value compression method for SpMV on large matrices
inferred← citeshttps://doi.org/10.1145/3722114openalex-snapshot
SRSparse: Generating Codes for High-Performance Sparse Matrix-Vector Semiring Computations
inferred← citeshttps://doi.org/10.1145/3774934.3786459openalex-snapshot
PANA: A Fine-Grained Runtime-Adaptive Load Balancing for Parallel SpMV on Multicore CPUs
inferred← citeshttps://doi.org/10.1145/3808313openalex-snapshot
SparseZETA: Intelligent Auto-tuner for Designing High-Performance SpMV Programs
inferred← citeshttps://doi.org/10.1145/3848124openalex-snapshot
CB-Sparse:A Cache-Friendly Data Aggregating Algorithm for Block-Based Sparse Matrix Multiplication on GPUs
inferred← citeshttps://doi.org/10.1145/3856990openalex-snapshot
Demystifying SpMV Performance: Bottleneck Characterization and Open Challenges
inferred← citeshttps://doi.org/10.1177/1094342019879985openalex-snapshot
Hybrid OpenMP-CUDA parallel implementation of a deterministic solver for ultrashort DG-MOSFETs
inferred← citeshttps://doi.org/10.1177/1094342019886628openalex-snapshot
Sparse matrix partitioning for optimizing SpMV on CPU-GPU heterogeneous platforms
inferred← citeshttps://doi.org/10.12681/eadd/52494openalex-snapshot
Accelerating irregular applications via efficient synchronization and data access techniques
inferred← citeshttps://doi.org/10.17760/d20471051openalex-snapshot
Exploring high performance sparse operations on GPUs
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3542794/v1openalex-snapshot
Enabling Energy-Efficient and Low-Latency of Sparse Matrix-Vector Multiplication on GPUs
inferred← citeshttps://doi.org/10.21205/deufmd.2020226501openalex-snapshot
Duff Aygıtı Tabanlı Seyrek Matris-Vektör Çarpımı
inferred← citeshttps://doi.org/10.23919/splitech52315.2021.9566330openalex-snapshot
Parallelism and Iterative bi-Lanczos Solvers
inferred← citeshttps://doi.org/10.23967/wccm-eccomas.2020.223openalex-snapshot
NUMA-Aware Strategies for the Heterogeneous Execution of SPMV on Modern Supercomputers
inferred← citeshttps://doi.org/10.3389/fninf.2022.877945openalex-snapshot
Auto-Selection of an Optimal Sparse Matrix Format in the Neuro-Simulator ANNarchy
inferred← citeshttps://doi.org/10.3390/electronics12173687openalex-snapshot
Leveraging Memory Copy Overlap for Efficient Sparse Matrix-Vector Multiplication on GPUs
inferred← citeshttps://doi.org/10.3390/electronics13203981openalex-snapshot
Tensor Core-Adapted Sparse Matrix Multiplication for Accelerating Sparse Deep Neural Networks
inferred← citeshttps://doi.org/10.3390/electronics9101675openalex-snapshot
Performance Analysis of Sparse Matrix-Vector Multiplication (SpMV) on Graphics Processing Units (GPUs)
inferred← citeshttps://doi.org/10.48550/arxiv.1902.01829openalex-snapshot
Hierarchical Matrix Operations on GPUs: Matrix-Vector Multiplication and Compression
inferred← citeshttps://doi.org/10.48550/arxiv.2004.11946openalex-snapshot
Computation on Sparse Neural Networks: an Inspiration for Future Hardware
inferred← citeshttps://doi.org/10.48550/arxiv.2008.00409openalex-snapshot
P-Cloth: Interactive Complex Cloth Simulation on Multi-GPU Systems using Dynamic Matrix Assembly and Pipelined Implicit Integrators
inferred← citeshttps://doi.org/10.48550/arxiv.2105.04937openalex-snapshot
Accelerating the SpMV kernel on standard CPUs by exploiting the partially diagonal structures
inferred← citeshttps://doi.org/10.5555/3014904.3014982openalex-snapshot
Merge-based parallel sparse matrix-vector multiplication
inferred← citeshttps://doi.org/10.5821/dissertation-2117-384828openalex-snapshot
A hierarchical parallel implementation model for algebra-based CFD simulations on hybrid supercomputers
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.