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Kriemann, Ronald
21  results:
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1

High-Performance Spatial Data Compression for Scientific Ap..:

, In: Euro-Par 2022: Parallel Processing; Lecture Notes in Computer Science,
Kriemann, Ronald ; Ltaief, Hatem ; Luong, Minh Bau... - p. 403-418 , 2022
Link: https://doi.org/10.1007/..
 
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2

SemiAutomatic Task Graph Construction for $\mathcal{H}$-Mat..:

Börm, Steffen ; Christophersen, Sven ; Kriemann, Ronald
SIAM Journal on Scientific Computing.  44 (2022)  2 - p. C77-C98 , 2022
Link: https://doi.org/10.1137/..
 
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3

A Fast Iterative Algorithm for Near-Diagonal Eigenvalue Pro..:

Kenmoe, Maseim ; Kriemann, Ronald ; Smerlak, Matteo.
SIAM Journal on Matrix Analysis and Applications.  43 (2022)  4 - p. 1573-1598 , 2022
Link: https://doi.org/10.1137/..
 
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4

Prediction of missing values. Comparison of approaches:

Litvinenko, Alexander ; Kriemann, Ronald ; Berikov, Vladimir
PAMM.  21 (2021)  1 - p. , 2021
Link: https://doi.org/10.1002/..
 
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5

HLIBCov: Parallel hierarchical matrix approximation of larg..:

Litvinenko, Alexander ; Kriemann, Ronald ; Genton, Marc G...
MethodsX.  7 (2020)  - p. 100600 , 2020
Link: https://doi.org/10.1016/..
 
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6

Parallel tensor sampling in the hierarchical Tucker format:

Grasedyck, Lars ; Kriemann, Ronald ; Löbbert, Christian...
Computing and Visualization in Science.  17 (2015)  2 - p. 67-78 , 2015
Link: https://doi.org/10.1007/..
 
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7

$${{\fancyscript{H}}} $$ H -LU factorization on many-core s..:

Kriemann, Ronald
Computing and Visualization in Science.  16 (2013)  3 - p. 105-117 , 2013
Link: https://doi.org/10.1007/..
 
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8

Domain decomposition based $${\mathcal H}$$ -LU preconditio..:

Grasedyck, Lars ; Kriemann, Ronald ; Le Borne, Sabine
Numerische Mathematik.  112 (2009)  4 - p. 565-600 , 2009
Link: https://doi.org/10.1007/..
 
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9

Parallel black box $$\mathcal {H}$$ -LU preconditioning for..:

Grasedyck, Lars ; Kriemann, Ronald ; Le Borne, Sabine
Computing and Visualization in Science.  11 (2008)  4-6 - p. 273-291 , 2008
Link: https://doi.org/10.1007/..
 
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10

The nullspace method for the three‐dimensional Stokes probl..:

Le Borne, Sabine ; Kriemann, Ronald
PAMM.  7 (2007)  1 - p. 1101101-1101102 , 2007
Link: https://doi.org/10.1002/..
 
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11

Direct Schur complement method by domain decomposition base..:

Hackbusch, Wolfgang ; Khoromskij, Boris N. ; Kriemann, Ronald
Computing and Visualization in Science.  8 (2005)  3-4 - p. 179-188 , 2005
Link: https://doi.org/10.1007/..
 
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12

Hierarchical Lowrank Arithmetic with Binary Compression:

Kriemann, Ronald
http://arxiv.org/abs/2308.10960.  , 2023
Link: http://arxiv.org/abs/230..
 
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13

Identification of unknown parameters and prediction with hi..:

Litvinenko, Alexander ; Kriemann, Ronald ; Berikov, Vladimir
http://arxiv.org/abs/2104.07146.  , 2021
Link: http://arxiv.org/abs/210..
 
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14

Identification of unknown parameters and prediction with hi..:

Litvinenko, Alexander ; Kriemann, Ronald ; Berikov, Vladimir
info:eu-repo/semantics/altIdentifier/arxiv/arXiv:2104.07146.  , 2021
Link: https://publications.rwt..
 
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15

A fast iterative algorithm for near-diagonal eigenvalue pro..:

Kenmoe, Maseim ; Kriemann, Ronald ; Smerlak, Matteo.
http://arxiv.org/abs/2012.14702.  , 2020
Link: http://arxiv.org/abs/201..
 
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