Bin-VBSR: Variable Block Size Binned Block-Compressed Sparse Row for Efficient GPU-Accelerated Finite Element Analysis

dc.contributor.authorPfeil, Florianen_US
dc.contributor.authorFerreira, Stephanieen_US
dc.contributor.authorMueller-Roemer, Johannes Sebastianen_US
dc.contributor.editorEgger, Bernharden_US
dc.contributor.editorGünther, Tobiasen_US
dc.date.accessioned2025-09-24T10:38:28Z
dc.date.available2025-09-24T10:38:28Z
dc.date.issued2025
dc.description.abstractWe present Binned Variable Block Compressed Sparse Row (Bin-VBSR), a novel GPU-optimized sparse matrix data structure and associated sparse matrix-vector multiplication algorithm for matrices with variable-size dense blocks. This includes a novel approach to handling long rows in the Binned Compressed Sparse Row (Bin-CSR) family of GPU-optimized sparse matrix data structures. We demonstrate speedups of up to 9.9× over Bin-BCSR* and extend its data compression advantages over compressed sparse row (CSR) to variable block size, resulting in an improvement of up to 50%.en_US
dc.description.sectionheadersGeometry, Simulation, and Optimization
dc.description.seriesinformationVision, Modeling, and Visualization
dc.identifier.doi10.2312/vmv.20251245
dc.identifier.isbn978-3-03868-294-3
dc.identifier.pages8 pages
dc.identifier.urihttps://doi.org/10.2312/vmv.20251245
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/vmv20251245
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Massively parallel algorithms; Mathematics of computing → Computations on matrices; Mathematical software performance
dc.subjectComputing methodologies → Massively parallel algorithms
dc.subjectMathematics of computing → Computations on matrices
dc.subjectMathematical software performance
dc.titleBin-VBSR: Variable Block Size Binned Block-Compressed Sparse Row for Efficient GPU-Accelerated Finite Element Analysisen_US
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