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Flexible Development of Dense Linear Algebra Algorithms on Massively Parallel Architectures with DPLASMA

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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/cpe.1301openalex-snapshot
Parallel tiled QR factorization for multicore architectures
inferredcites →https://doi.org/10.1002/cpe.v20:13openalex-snapshot
Parallel tiled QR factorization for multicore architectures
inferredcites →https://doi.org/10.1006/jpdc.1999.1566openalex-snapshot
Compact DAG Representation and Its Dynamic Scheduling
inferredcites →https://doi.org/10.1007/978-0-387-35407-1_13openalex-snapshot
New Generalized Matrix Data Structures Lead to a Variety of High-Performance Algorithms
inferredcites →https://doi.org/10.1007/978-3-540-75755-9_66openalex-snapshot
Minimal Data Copy for Dense Linear Algebra Factorization
inferredcites →https://doi.org/10.1007/b102376openalex-snapshot
Dependence Analysis
inferredcites →https://doi.org/10.1016/j.jpdc.2004.05.001openalex-snapshot
Compact DAG representation and its symbolic scheduling
inferredcites →https://doi.org/10.1016/j.parco.2003.05.014openalex-snapshot
Self-adapting software for numerical linear algebra and LAPACK for clusters
inferredcites →https://doi.org/10.1016/j.parco.2008.10.002openalex-snapshot
A class of parallel tiled linear algebra algorithms for multicore architectures
inferredcites →https://doi.org/10.1016/j.parco.2011.10.003openalex-snapshot
DAGuE: A generic distributed DAG engine for High Performance Computing
inferredcites →https://doi.org/10.1109/hicss.1995.375471openalex-snapshot
Automatic task graph generation techniques
inferredcites →https://doi.org/10.1109/ipdps.2011.281openalex-snapshot
DAGuE: A Generic Distributed DAG Engine for High Performance Computing
inferredcites →https://doi.org/10.1109/tpds.2007.70813openalex-snapshot
Solving Systems of Linear Equations on the CELL Processor Using Cholesky Factorization
inferredcites →https://doi.org/10.1137/1.9780898718058openalex-snapshot
Matrix Algorithms
inferredcites →https://doi.org/10.1137/1.9780898719642openalex-snapshot
ScaLAPACK Users' Guide
inferredcites →https://doi.org/10.1137/s0036144503428693openalex-snapshot
Recursive Blocked Algorithms and Hybrid Data Structures for Dense Matrix Library Software
inferredcites →https://doi.org/10.1145/1377612.1377615openalex-snapshot
Updating an LU Factorization with Pivoting
inferredcites →https://doi.org/10.1145/1499096.1499100openalex-snapshot
Distributed SBP Cholesky factorization algorithms with near-optimal scheduling
inferredcites →https://doi.org/10.1145/1654059.1654079openalex-snapshot
Dynamic task scheduling for linear algebra algorithms on distributed-memory multicore systems
inferredcites →https://doi.org/10.1147/rd.416.0737openalex-snapshot
Recursion leads to automatic variable blocking for dense linear-algebra algorithms
inferredcites →https://doi.org/10.1155/2009/239720openalex-snapshot
QR Factorization for the Cell Broadband Engine
inferredcites →https://doi.org/10.56021/9781421407944openalex-snapshot
Matrix Computations

What points at this work

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

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Memory-aware Algorithms and Scheduling Techniques for Matrix Computattions
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On the design of sparse hybrid linear solvers for modern parallel architectures
inferred← citeshttps://doi.org/10.70675/d72bf129z96c8z49b4zb955za47fdfd647d8openalex-snapshot
Contribution à la parallélisation et au passage à l'échelle du code FLUSEPA
inferred← citeshttps://doi.org/10.70675/f03dcd69za905z4dc5za2d4zd420c3f7370fopenalex-snapshot
Utilisation de la compression low-rank pour réduire la complexité des solveurs creux parallèles basés sur des techniques de factorisation directes.
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