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A GPU Framework for Sparse Matrix Vector Multiplication
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpe.3194openalex-snapshot
Communication and computation optimization of concurrent kernels using kernel coalesce on a GPU
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/10.1007/978-3-642-24037-9_58openalex-snapshot
CSPR: Column Only SPARSE Matrix Representation for Performance Improvement on GPU Architecture
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/10.1109/cit.2010.208openalex-snapshot
Improving the Performance of the Sparse Matrix Vector Product with 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/iciinfs.2010.5578685openalex-snapshot
Recent trends in software and hardware for GPGPU computing: A comprehensive survey
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/ispass.2011.5762730openalex-snapshot
Where is the data? Why you cannot debate CPU vs. GPU performance without the answer
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/10.1145/1654059.1654078openalex-snapshot
Implementing sparse matrix-vector multiplication on throughput-oriented processors
inferredcites →https://doi.org/10.1145/1815961.1816021openalex-snapshot
Debunking the 100X GPU vs. CPU myth
inferredcites →https://doi.org/10.1145/1993316.1993516openalex-snapshot
Automatic CPU-GPU communication management and optimization
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/10.2528/pier11031607openalex-snapshot
A MEMORY EFFICIENT AND FAST SPARSE MATRIX VECTOR PRODUCT ON A GPU
inferredcites →https://doi.org/10.5121/ijcsea.2012.2213openalex-snapshot
Effective Sparse Matrix Representation For The GPU Architectures
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.3865openalex-snapshot
Kepler GPU accelerated recursive sorting using dynamic parallelism
inferred← citeshttps://doi.org/10.1007/978-3-319-46759-7_25openalex-snapshot
Similarity Search of Sparse Histograms on GPU Architecture
inferred← citeshttps://doi.org/10.1109/cbd.2016.034openalex-snapshot
GPU Parallel Optimization of Hyperspectral Image Kernel Sparse Representation Classification Based on Spatial-Spectral Graph Regularization
inferred← citeshttps://doi.org/10.1109/dsd.2015.89openalex-snapshot
Sparse Matrix Multiplication on a Reconfigurable Many-Core Architecture
inferred← citeshttps://doi.org/10.1109/ichpca.2014.7045310openalex-snapshot
Yet another proposal for all pair shortest path on GPU
inferred← citeshttps://doi.org/10.1109/ichpca.2014.7045312openalex-snapshot
String sorting on multi and many-threaded architectures: A comparative study
inferred← citeshttps://doi.org/10.1109/icpads.2015.97openalex-snapshot
LSRB-CSR: A Low Overhead Storage Format for SpMV on the GPU Systems
inferred← citeshttps://doi.org/10.1109/ispdc.2016.19openalex-snapshot
SWIFT-A Performance Accelerated Optimized String Matching Algorithm for Nvidia GPUs
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4415420/v1openalex-snapshot
Accelerating the Fast Hadamard Single-Pixel Imaging (FHSI) on GPUs: Techniques and Optimizations
inferred← citeshttps://doi.org/10.3390/electronics11223699openalex-snapshot
Mapping and Optimization Method of SpMV on Multi-DSP Accelerator
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