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Optimizing Sparse Matrix Operations on GPUs Using Merge Path

https://doi.org/10.1109/ipdps.2015.98
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What this work says

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

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/10.1016/j.parco.2008.12.006openalex-snapshot
Optimization of sparse matrix-vector multiplication on emerging multicore platforms
inferredcites →https://doi.org/10.1109/inpar.2012.6339592openalex-snapshot
Efficient parallel merge sort for fixed and variable length keys
inferredcites →https://doi.org/10.1109/ipdps.2014.47openalex-snapshot
An Efficient GPU General Sparse Matrix-Matrix Multiplication for Irregular Data
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/10.1137/110838844openalex-snapshot
Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods
inferredcites →https://doi.org/10.1137/110848244openalex-snapshot
Parallel Sparse Matrix-Matrix Multiplication and Indexing: Implementation and Experiments
inferredcites →https://doi.org/10.1142/s0129626411000187openalex-snapshot
HIGH PERFORMANCE AND SCALABLE RADIX SORTING: A CASE STUDY OF IMPLEMENTING DYNAMIC PARALLELISM FOR GPU COMPUTING
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/10.1145/1839676.1839694openalex-snapshot
Understanding throughput-oriented architectures
inferredcites →https://doi.org/10.1145/2304576.2304621openalex-snapshot
GPU merge path
inferredcites →https://doi.org/10.1145/2699470openalex-snapshot
Optimizing Sparse Matrix—Matrix Multiplication for the GPU
inferredcites →https://doi.org/10.1145/355791.355796openalex-snapshot
Two Fast Algorithms for Sparse Matrices: Multiplication and Permuted Transposition

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-50743-5_16openalex-snapshot
Sparse Linear Algebra on AMD and NVIDIA GPUs – The Race Is On
inferred← citeshttps://doi.org/10.1007/s10766-018-0604-8openalex-snapshot
Register-Aware Optimizations for Parallel Sparse Matrix–Matrix Multiplication
inferred← citeshttps://doi.org/10.1016/j.cad.2025.103948openalex-snapshot
Matrix representation and GPU-optimized parallel B-spline computing
inferred← citeshttps://doi.org/10.1109/cgo57630.2024.10444812openalex-snapshot
Seer: Predictive Runtime Kernel Selection for Irregular Problems
inferred← citeshttps://doi.org/10.1109/cgo57630.2024.10444827openalex-snapshot
JITSPMM: Just-in-Time Instruction Generation for Accelerated Sparse Matrix-Matrix Multiplication
inferred← citeshttps://doi.org/10.1109/hipc58850.2023.00037openalex-snapshot
DeltaSPARSE: High-Performance Sparse General Matrix-Matrix Multiplication on Multi-GPU Systems
inferred← citeshttps://doi.org/10.1109/hpec.2018.8547541openalex-snapshot
Hornet: An Efficient Data Structure for Dynamic Sparse Graphs and Matrices on GPUs
inferred← citeshttps://doi.org/10.1109/hpec43674.2020.9286216openalex-snapshot
Computing PageRank Scores of Web Crawl Data Using DGX A100 Clusters
inferred← citeshttps://doi.org/10.1109/hpec43674.2020.9286245openalex-snapshot
Efficient Sparse Matrix-Vector Multiplication on Intel PIUMA Architecture
inferred← citeshttps://doi.org/10.1109/ipdpsw.2017.93openalex-snapshot
Architecting the Discontinuous Deformation Analysis Method Pipeline on the GPU
inferred← citeshttps://doi.org/10.1109/la-cci54402.2022.9981269openalex-snapshot
Kaizen Programming for predicting numerical linear algebra operations performance
inferred← citeshttps://doi.org/10.1109/pmbs51919.2020.00009openalex-snapshot
Evaluating the Performance of NVIDIA’s A100 Ampere GPU for Sparse and Batched Computations
inferred← citeshttps://doi.org/10.1109/sc.2016.57openalex-snapshot
Merge-Based Parallel Sparse Matrix-Vector Multiplication
inferred← citeshttps://doi.org/10.1109/tencon66050.2025.11375093openalex-snapshot
Efficient SpMV for GPUs Using Variable-Sized Vectors and CSR Restructuring
inferred← citeshttps://doi.org/10.1145/3210259.3210263openalex-snapshot
Regularizing irregularity
inferred← citeshttps://doi.org/10.1145/3293883.3295701openalex-snapshot
Adaptive sparse matrix-matrix multiplication on the GPU
inferred← citeshttps://doi.org/10.1145/3332466.3374521openalex-snapshot
spECK
inferred← citeshttps://doi.org/10.1145/3380930openalex-snapshot
Load-balancing Sparse Matrix Vector Product Kernels on GPUs
inferred← citeshttps://doi.org/10.1145/3503221.3508431openalex-snapshot
TileSpGEMM
inferred← citeshttps://doi.org/10.1145/3511808.3557095openalex-snapshot
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences
inferred← citeshttps://doi.org/10.1145/3570638openalex-snapshot
Optimization Techniques for GPU Programming
inferred← citeshttps://doi.org/10.1145/3572848.3577434openalex-snapshot
A Programming Model for GPU Load Balancing
inferred← citeshttps://doi.org/10.1145/3588195.3593000openalex-snapshot
Efficient Execution of SpGEMM on Long Vector Architectures
inferred← citeshttps://doi.org/10.1145/3588195.3593002openalex-snapshot
Efficient Algorithm Design of Optimizing SpMV on GPU
inferred← citeshttps://doi.org/10.1145/3605573.3605611openalex-snapshot
HASpGEMM: Heterogeneity-Aware Sparse General Matrix-Matrix Multiplication on Modern Asymmetric Multicore Processors
inferred← citeshttps://doi.org/10.1145/3625549.3658655openalex-snapshot
GNNOne: A Unified System Optimizations for GNN Kernels
inferred← citeshttps://doi.org/10.1145/3685277openalex-snapshot
LO-SpMM: Low-cost Search for High-performance SpMM Kernels on GPUs
inferred← citeshttps://doi.org/10.1145/3716874openalex-snapshot
Exploiting Dynamic Regular Patterns in Irregular Programs for Efficient Vectorization
inferred← citeshttps://doi.org/10.1145/3774654openalex-snapshot
Optimizing General Sparse Matrix-Matrix Multiplication on the GPU
inferred← citeshttps://doi.org/10.1177/1094342021990738openalex-snapshot
Selecting optimal SpMV realizations for GPUs via machine learning
inferred← citeshttps://doi.org/10.48550/arxiv.2008.08478openalex-snapshot
Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse Linear Algebra Computations
inferred← citeshttps://doi.org/10.5555/3014904.3014982openalex-snapshot
Merge-based parallel sparse matrix-vector multiplication
inferred← citeshttps://doi.org/10.70675/b192e786z389az47a7zb680z74aec9f80c67openalex-snapshot
Feature Extraction and Pattern Recognition with Neuromorphic Vision Sensors
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