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Solution of sparse positive definite systems on a shared-memory multiprocessor
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/nme.1620180804openalex-snapshot
Yale sparse matrix package I: The symmetric codes
inferredcites →https://doi.org/10.1016/0024-3795(86)90167-9openalex-snapshot
Parallel Cholesky factorization on a shared-memory multiprocessor
inferredcites →https://doi.org/10.1016/0167-8191(86)90014-1openalex-snapshot
Computational models and task scheduling for parallel sparse Cholesky factorization
inferredcites →https://doi.org/10.1016/0167-8191(86)90019-0openalex-snapshot
Parallel implementation of multifrontal schemes
inferredcites →https://doi.org/10.1109/proc.1984.12823openalex-snapshot
Experience with pipelined multiple instruction streams
inferredcites →https://doi.org/10.1137/0909021openalex-snapshot
Sparse Cholesky Factorization on a Local-Memory Multiprocessor
inferredcites →https://doi.org/10.1145/214392.214398openalex-snapshot
Modification of the minimum-degree algorithm by multiple elimination
inferredcites →https://doi.org/10.1145/355826.355829openalex-snapshot
The Design of a User Interface for a Sparse Matrix Package
inferredcites →https://doi.org/10.1177/109434208700100207openalex-snapshot
Supercomputers: Value and Trends Bill Buzbee, Computer Research and Applications Group, Computing and Communications Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545
inferredcites →https://doi.org/10.2172/5868908openalex-snapshot
Sparse Cholesky factorization on a local-memory multiprocessor
inferredcites →https://doi.org/10.2307/2007640openalex-snapshot
Computer Solution of Large Sparse Positive Definite Systems.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Using domain decomposition to solve symmetric, positive‐definite systems on the hypercube computer
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Methods for Automated Problem Mapping
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Direct Methods for Linear Equations
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Solution of Sparse Systems of Equations on Multiprocessor Architectures
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Parallel Direct Methods for Sparse Linear Systems
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Task scheduling for parallel sparse Cholesky factorization
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Parallel sparse Gaussian elimination with partial pivoting
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Solution of sparse systems of equations on multiprocessor architectures
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Toward efficient structured-grid triangular solver on sunway many-core processors
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Independent set orderings for parallel matrix factorization by Gaussian elimination
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Parallel nested dissection
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Parallel sparse Cholesky factorization on a shared memory multiprocessor
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Parallel finite element analysis of seismic soil structure interaction using a PC cluster
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A review of self-scheduled strategies for numerical linear algebra on GPU
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Machine learning for optimal selection of sparse triangular system solvers on GPUs
inferred← citeshttps://doi.org/10.1016/j.parco.2021.102840openalex-snapshot
Porting hypre to heterogeneous computer architectures: Strategies and experiences
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Developments and trends in the parallel solution of linear systems
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A survey of direct methods for sparse linear systems
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A LINEAR ARRAY FOR LARGE SPARSE MATRIX OPERATIONS - I CHOLESKY FACTORIZATION
inferred← citeshttps://doi.org/10.1080/10637199808947368openalex-snapshot
A LINEAR ARRAY FOR LARGE SPARSE MATRIX OPERATIONS – II TRIANGULAR SYSTEM SOLVERS AND MATRIX MULTIPLICATION
inferred← citeshttps://doi.org/10.1109/12.9742openalex-snapshot
Pairwise reduction for the direct, parallel solution of sparse, unsymmetric sets of linear equations
inferred← citeshttps://doi.org/10.1109/dmcc.1991.633214openalex-snapshot
Using Domain Decomposition to Solve Positive-Definite Systems on the Hypercube Computer
inferred← citeshttps://doi.org/10.1109/icpp.1994.177openalex-snapshot
Scheduling Strategies for Sparse Cholesky Factorization on a Shared Virtual Memory Parallel Computer
inferred← citeshttps://doi.org/10.1109/ipdps.2018.00101openalex-snapshot
A New GPU Algorithm to Compute a Level Set-Based Analysis for the Parallel Solution of Sparse Triangular Systems
inferred← citeshttps://doi.org/10.1109/ipdps49936.2021.00080openalex-snapshot
Speculative Parallel Reverse Cuthill-McKee Reordering on Multi- and Many-core Architectures
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NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing
inferred← citeshttps://doi.org/10.1109/pdp2018.2018.00034openalex-snapshot
Solving Sparse Triangular Linear Systems in Modern GPUs: A Synchronization-Free Algorithm
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A synchronization-free incomplete LU factorization for GPUs with level-set analysis
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Automatic Selection of Sparse Triangular Linear System Solvers on GPUs through Machine Learning Techniques
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A new level-set analysis and sparse storage format for the SPTRSV in GPUs
inferred← citeshttps://doi.org/10.1109/sbac-padw.2017.15openalex-snapshot
Assessing Sparse Triangular Linear System Solvers on GPUs
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A Split Execution Model for SpTRSV
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Design of a Multicore Sparse Cholesky Factorization Using DAGs
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Aggregation Methods for Solving Sparse Triangular Systems on Multiprocessors
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A Supernodal Cholesky Factorization Algorithm for Shared-Memory Multiprocessors
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Block Sparse Cholesky Algorithms on Advanced Uniprocessor Computers
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Parallel Algorithms for Sparse Linear Systems
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An Efficient Algorithm to Compute Row and Column Counts for Sparse Cholesky Factorization
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An Asynchronous Parallel Supernodal Algorithm for Sparse Gaussian Elimination
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Data traffic reduction schemes for Cholesky factorization on asynchronous multiprocessor systems
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A multi-level load balancing scheme for OR-parallel exhaustive search programs on the multi-PSI
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A multi-level load balancing scheme for OR-parallel exhaustive search programs on the multi-PSI
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