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ITPACKV 2D user's guide
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inferred← citeshttps://doi.org/10.1002/(sici)1096-9128(200002/03)12:2/3<53::aid-cpe473>3.0.co;2-bopenalex-snapshot
Towards a scalable hybrid sparse solver
inferred← citeshttps://doi.org/10.1002/cpe.1658openalex-snapshot
A new approach for sparse matrix vector product on NVIDIA GPUs
inferred← citeshttps://doi.org/10.1002/cpe.3874openalex-snapshot
Performance optimization of Sparse Matrix‐Vector Multiplication for multi‐component PDE‐based applications using GPUs
inferred← citeshttps://doi.org/10.1002/cpe.4864openalex-snapshot
AXC: A new format to perform the SpMV oriented to Intel Xeon Phi architecture in OpenCL
inferred← citeshttps://doi.org/10.1002/nme.5346openalex-snapshot
An efficient sparse matrix‐vector multiplication on CUDA‐enabled graphic processing units for finite element method simulations
inferred← citeshttps://doi.org/10.1002/num.1690100409openalex-snapshot
Parallel evaluation of leftmost eigenpairs of large unsymmetric matrices
inferred← citeshttps://doi.org/10.1007/978-3-030-74224-9_4openalex-snapshot
Performance and Portability of a Linear Solver Across Emerging Architectures
inferred← citeshttps://doi.org/10.1007/978-3-540-74742-0_7openalex-snapshot
Implementation and Optimization of Sparse Matrix-Vector Multiplication on Imagine Stream Processor
inferred← citeshttps://doi.org/10.1007/978-3-662-48096-0_46openalex-snapshot
High Performance Multi-GPU SpMV for Multi-component PDE-Based Applications
inferred← citeshttps://doi.org/10.1007/978-981-97-0808-6_12openalex-snapshot
Efficiently Running SpMV on Multi-core DSPs for Banded Matrix
inferred← citeshttps://doi.org/10.1007/bfb0090902openalex-snapshot
Recent vectorization and parallelization of ITPACKV
inferred← citeshttps://doi.org/10.1007/s10766-018-00625-8openalex-snapshot
Optimizing Sparse Matrix–Vector Multiplications on an ARMv8-based Many-Core Architecture
inferred← citeshttps://doi.org/10.1007/s10766-019-00646-xopenalex-snapshot
Characterizing Scalability of Sparse Matrix–Vector Multiplications on Phytium FT-2000+
inferred← citeshttps://doi.org/10.1007/s11767-012-0766-2openalex-snapshot
GPU-accelerated fem solver for three dimensional electromagnetic analysis
inferred← citeshttps://doi.org/10.1007/s11767-013-3041-2openalex-snapshot
An efficient GPU acceleration format for finite element analysis
inferred← citeshttps://doi.org/10.1016/j.cpc.2021.108230openalex-snapshot
On the implementation of flux limiters in algebraic frameworks
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1016/s0045-7825(97)00050-9openalex-snapshot
A domain-decomposition message-passing approach to transient viscous incompressible flow using explicit time integration
inferred← citeshttps://doi.org/10.1080/00207160.2014.930137openalex-snapshot
Auto-tuned Krylov methods on cluster of graphics processing unit
inferred← citeshttps://doi.org/10.1109/asap.2019.00-28openalex-snapshot
Sparse Matrix to Matrix Multiplication: A Representation and Architecture for Acceleration
inferred← citeshttps://doi.org/10.1109/ase.2017.8115709openalex-snapshot
Taco: A tool to generate tensor algebra kernels
inferred← citeshttps://doi.org/10.1109/cit.2010.208openalex-snapshot
Improving the Performance of the Sparse Matrix Vector Product with GPUs
inferred← citeshttps://doi.org/10.1109/cso.2014.110openalex-snapshot
An Efficient Column-Major Ordering Format for Finite Element Analysis
inferred← citeshttps://doi.org/10.1109/dac63849.2025.11132628openalex-snapshot
Pipirima: Predicting Patterns in Sparsity to Accelerate Matrix Algebra
inferred← citeshttps://doi.org/10.1109/hpca47549.2020.00029openalex-snapshot
ALRESCHA: A Lightweight Reconfigurable Sparse-Computation Accelerator
inferred← citeshttps://doi.org/10.1109/hpcc.2012.118openalex-snapshot
Iterative Methods for Sparse Linear Systems on Graphics Processing Unit
inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2018.00116openalex-snapshot
Adaptive Optimization of Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures
inferred← citeshttps://doi.org/10.1109/iccad51958.2021.9643582openalex-snapshot
GraphLily: Accelerating Graph Linear Algebra on HBM-Equipped FPGAs
inferred← citeshttps://doi.org/10.1109/icpads60453.2023.00262openalex-snapshot
Efficiently Running SpMV on Multi-Core DSPs for Block Sparse Matrix
inferred← citeshttps://doi.org/10.1109/icpp.2010.17openalex-snapshot
Efficient PageRank and SpMV Computation on AMD GPUs
inferred← citeshttps://doi.org/10.1109/iiswc53511.2021.00012openalex-snapshot
Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads
inferred← citeshttps://doi.org/10.1109/ipdps.2002.1015506openalex-snapshot
Memory-intensive benchmarks: IRAM vs. cache-based machines
inferred← citeshttps://doi.org/10.1109/ipdps64566.2025.00095openalex-snapshot
Accelerating Sparse Linear Solvers on Intelligence Processing Units
inferred← citeshttps://doi.org/10.1109/ipdpsw.2017.174openalex-snapshot
A Compression Method for Storage Formats of a Sparse Matrix in Solving the Large-Scale Linear Systems
inferred← citeshttps://doi.org/10.1109/ispa.2012.99openalex-snapshot
Fast Sparse Matrix Matrix Product Based on ELLR-T and GPU Computing
inferred← citeshttps://doi.org/10.1109/llvmhpc54804.2021.00009openalex-snapshot
A High Performance Sparse Tensor Algebra Compiler in MLIR
inferred← citeshttps://doi.org/10.1109/sasp.2010.5521144openalex-snapshot
FPGA and GPU implementation of large scale SpMV
inferred← citeshttps://doi.org/10.1109/sc41406.2024.00054openalex-snapshot
A Conflict-aware Divide-and-Conquer Algorithm for Symmetric Sparse Matrix-Vector Multiplication
inferred← citeshttps://doi.org/10.1109/tc.2025.3547162openalex-snapshot
Eliminate Data Divergence in SpMV via Processor and Memory Co-Computing Framework
inferred← citeshttps://doi.org/10.1134/s1995080223080346openalex-snapshot
Estimating the Effect of Indices Compression in the CSR-like Data Storage Formats for Matrix-Vector Multiplications and Solving Linear Systems
inferred← citeshttps://doi.org/10.1134/s1995080225615267openalex-snapshot
Evaluating Efficiency of Using Graphics Processing Units for Solving Systems of Linear Algebraic Equations
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1145/3017994openalex-snapshot
Sparse Matrix-Vector Multiplication on GPGPUs
inferred← citeshttps://doi.org/10.1145/3276493openalex-snapshot
Format abstraction for sparse tensor algebra compilers
inferred← citeshttps://doi.org/10.1145/3437801.3441592openalex-snapshot
Efficiently running SpMV on long vector architectures
inferred← citeshttps://doi.org/10.1145/3530775openalex-snapshot
FPGA HLS Today: Successes, Challenges, and Opportunities
inferred← citeshttps://doi.org/10.1145/3640542openalex-snapshot
Dedicated Hardware Accelerators for Processing of Sparse Matrices and Vectors: A Survey
inferred← citeshttps://doi.org/10.1145/3656426openalex-snapshot
Compilation of Modular and General Sparse Workspaces
inferred← citeshttps://doi.org/10.1145/3662002openalex-snapshot
Dynamic-ACTS - A Dynamic Graph Analytics Accelerator For HBM-Enabled FPGAs
inferred← citeshttps://doi.org/10.1145/3721146.3721948openalex-snapshot
Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs
inferred← citeshttps://doi.org/10.1145/3725843.3756086openalex-snapshot
Chasoň: Supporting Cross HBM Channel Data Migration to Enable Efficient Sparse Algebraic Acceleration
inferred← citeshttps://doi.org/10.1145/3803015openalex-snapshot
Towards Efficient Symmetric Sparse Matrix-Vector Multiplication on Multi-Cores
inferred← citeshttps://doi.org/10.1155/2013/398438openalex-snapshot
Efficient CUDA Polynomial Preconditioned Conjugate Gradient Solver for Finite Element Computation of Elasticity Problems
inferred← citeshttps://doi.org/10.12794/metadc2415970openalex-snapshot
Enhancing Sparse Data Processing through Energy-Efficient Heterogeneous Architectures
inferred← citeshttps://doi.org/10.18122/td/1534/boisestateopenalex-snapshot
Application-Specific Memory Subsystem Benchmarking
inferred← citeshttps://doi.org/10.2172/860302openalex-snapshot
Evaluation of architectural paradigms for addressing theprocessor-memory gap
inferred← citeshttps://doi.org/10.2172/860303openalex-snapshot
Scientific kernels on VIRAM and imagine media processors
inferred← citeshttps://doi.org/10.23919/date48585.2020.9116501openalex-snapshot
ASCELLA: Accelerating Sparse Computation by Enabling Stream Accesses to Memory
inferred← citeshttps://doi.org/10.23919/date58400.2024.10546782openalex-snapshot
CRISP: Hybrid Structured Sparsity for Class-Aware Model Pruning
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/electronics14091768openalex-snapshot
Asynchronized Jacobi Solver on Heterogeneous Mobile Devices
inferred← citeshttps://doi.org/10.48550/arxiv.1805.11938openalex-snapshot
Optimizing Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures
inferred← citeshttps://doi.org/10.48550/arxiv.1906.00327openalex-snapshot
Sparse Matrix to Matrix Multiplication: A Representation and Architecture for Acceleration (long version)
inferred← citeshttps://doi.org/10.48550/arxiv.2102.05187openalex-snapshot
A High-Performance Sparse Tensor Algebra Compiler in Multi-Level IR
inferred← citeshttps://doi.org/10.48550/arxiv.2105.04937openalex-snapshot
Accelerating the SpMV kernel on standard CPUs by exploiting the partially diagonal structures
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