Solving sequences of generalized least-squares problems on multi-threaded architectures

DOI10.1016/j.amc.2014.02.056zbMath1298.65203arXiv1210.7325OpenAlexW2964115719WikidataQ57309006 ScholiaQ57309006MaRDI QIDQ470838

Paolo Bientinesi, Yurii S. Aulchenko, Diego Fabregat-Traver

Publication date: 13 November 2014

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1210.7325

zbMATH Keywords

numerical linear algebrageneralized least-squaresout-of-coresequences of problemsshared-memory

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Protein sequences, DNA sequences (92D20) Numerical linear algebra (65F99) Numerical algorithms for specific classes of architectures (65Y10)

Related Items (3)

Large-scale linear regression: development of high-performance routines ⋮ Kalman-Based Stochastic Gradient Method with Stop Condition and Insensitivity to Conditioning ⋮ Computing Petaflops over Terabytes of Data

Uses Software

• LAPACK
• ScaLAPACK
• BLAS
• Elemental
• GenABEL
• ProbABEL

Cites Work

• Actuarial statistics with generalized linear mixed models
• Programming matrix algorithms-by-blocks for thread-level parallelism
• A Runtime System for Programming Out-of-Core Matrix Algorithms-by-Tiles on Multithreaded Architectures
• Elemental
• LAPACK Users' Guide
• ScaLAPACK Users' Guide
• A set of level 3 basic linear algebra subprograms
• Unnamed Item
• Unnamed Item
• Unnamed Item

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