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Matthias Bollhöfer
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2020 – today
- 2024
- [j20]Aryan Eftekhari
, Lisa Gaedke-Merzhäuser
Algorithm 1042: Sparse Precision Matrix Estimation with SQUIC. ACM Trans. Math. Softw. 50(2): 13:1-13:18 (2024) - [i4]Lucas Hermann, Matthias Bollhöfer, Ulrich Römer:
Statistical reduced order modelling for the parametric Helmholtz equation. CoRR abs/2407.04438 (2024) - [i3]Yannik Hüpel, Ulrich Römer, Matthias Bollhöfer, Sabine C. Langer:
Efficient low rank model order reduction of vibroacoustic problems under stochastic loads. CoRR abs/2408.08402 (2024) - 2023
- [j19]Dimosthenis Pasadakis
Sparse Quadratic Approximation for Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11256-11269 (2023) - 2021
- [j18]Aryan Eftekhari
Block-enhanced precision matrix estimation for large-scale datasets. J. Comput. Sci. 53: 101389 (2021)
2010 – 2019
- 2019
- [j17]Amin Rafiei, Matthias Bollhöfer
A block version of left-looking AINV preconditioner with one by one or two by two block pivots. Appl. Math. Comput. 350: 366-385 (2019) - [j16]Matthias Bollhöfer
Large-scale Sparse Inverse Covariance Matrix Estimation. SIAM J. Sci. Comput. 41(1): A380-A401 (2019) - [i2]Matthias Bollhöfer
State-of-The-Art Sparse Direct Solvers. CoRR abs/1907.05309 (2019) - [i1]Matthias Bollhöfer
High Performance Block Incomplete LU Factorization. CoRR abs/1908.10169 (2019) - 2018
- [c12]José Ignacio Aliaga
Extending ILUPACK with a Task-Parallel Version of BiCG for Dual-GPU Servers. PMAM@PPoPP 2018: 71-78 - [c11]Aryan Eftekhari, Matthias Bollhöfer, Olaf Schenk:
Distributed memory sparse inverse covariance matrix estimation on high-performance computing architectures. SC 2018: 20:1-20:12 - 2017
- [j15]José Ignacio Aliaga
Communication in task-parallel ILU-preconditioned CG solvers using MPI + OmpSs. Concurr. Comput. Pract. Exp. 29(21) (2017) - 2016
- [j14]Mario Bebendorf, Matthias Bollhöfer
On the spectral equivalence of hierarchical matrix preconditioners for elliptic problems. Math. Comput. 85(302): 2839-2861 (2016) - [j13]José Ignacio Aliaga
Exploiting task and data parallelism in ILUPACK's preconditioned CG solver on NUMA architectures and many-core accelerators. Parallel Comput. 54: 97-107 (2016) - [c10]José Ignacio Aliaga
A Data-Parallel ILUPACK for Sparse General and Symmetric Indefinite Linear Systems. Euro-Par Workshops 2016: 121-133 - [c9]José Ignacio Aliaga
Exploiting Task-Parallelism in Message-Passing Sparse Linear System Solvers Using OmpSs. Euro-Par 2016: 631-643 - 2014
- [j12]Amin Rafiei, Behnaz Tolue, Matthias Bollhöfer
Complete pivoting strategy for the left-looking Robust Incomplete Factorization preconditioner. Comput. Math. Appl. 67(11): 2055-2070 (2014) - [c8]José Ignacio Aliaga
Leveraging Data-Parallelism in ILUPACK using Graphics Processors. ISPDC 2014: 119-126 - [c7]José Ignacio Aliaga
Leveraging Task-Parallelism with OmpSs in ILUPACK's Preconditioned CG Method. SBAC-PAD 2014: 262-269 - 2011
- [j11]Amin Rafiei, Matthias Bollhöfer
Robust incomplete factorization for nonsymmetric matrices. Numerische Mathematik 118(2): 247-269 (2011) - [j10]José Ignacio Aliaga
Exploiting thread-level parallelism in the iterative solution of sparse linear systems. Parallel Comput. 37(3): 183-202 (2011) - [c6]Aldo Bonfiglioli
A Parallel 3D Unstructured Implicit RANS Solver for Compressible and Incompressible CFD Simulations. PPAM (2) 2011: 313-322 - [r1]Matthias Bollhöfer
ILUPACK. Encyclopedia of Parallel Computing 2011: 917-926 - 2010
- [c5]José Ignacio Aliaga
Parallelization of Multilevel ILU Preconditioners on Distributed-Memory Multiprocessors. PARA (1) 2010: 162-172
2000 – 2009
- 2009
- [j9]Matthias Bollhöfer
Algebraic Multilevel Preconditioner for the Helmholtz Equation in Heterogeneous Media. SIAM J. Sci. Comput. 31(5): 3781-3805 (2009) - [c4]José Ignacio Aliaga
Evaluation of Parallel Sparse Matrix Partitioning Software for Parallel Multilevel ILU Preconditioning on Shared-Memory Multiprocessors. PARCO 2009: 125-132 - 2008
- [j8]Olaf Schenk
On Large-Scale Diagonalization Techniques for the Anderson Model of Localization. SIAM Rev. 50(1): 91-112 (2008) - [c3]José Ignacio Aliaga
Design, Tuning and Evaluation of Parallel Multilevel ILU Preconditioners. VECPAR 2008: 314-327 - 2007
- [j7]Matthias Bollhöfer
JADAMILU: a software code for computing selected eigenvalues of large sparse symmetric matrices. Comput. Phys. Commun. 177(12): 951-964 (2007) - [c2]Iain S. Duff, Michel J. Daydé, Matthias Bollhöfer
Topic 10 Parallel Numerical Algorithms. Euro-Par 2007: 715-716 - [c1]José Ignacio Aliaga, Matthias Bollhöfer, Alberto F. Martín, Enrique S. Quintana-Ortí:
Parallelization of Multilevel Preconditioners Constructed from Inverse-Based ILUs on Shared-Memory Multiprocessors. PARCO 2007: 287-294 - 2006
- [j6]Matthias Bollhöfer
Multilevel Preconditioners Constructed From Inverse-Based ILUs. SIAM J. Sci. Comput. 27(5): 1627-1650 (2006) - [j5]Olaf Schenk
On Large-Scale Diagonalization Techniques for the Anderson Model of Localization. SIAM J. Sci. Comput. 28(3): 963-983 (2006) - 2003
- [j4]Matthias Bollhöfer
A Robust and Efficient ILU that Incorporates the Growth of the Inverse Triangular Factors. SIAM J. Sci. Comput. 25(1): 86-103 (2003) - 2002
- [j3]Matthias Bollhöfer
A Factored Approximate Inverse Preconditioner with Pivoting. SIAM J. Matrix Anal. Appl. 23(3): 692-705 (2002) - [j2]Matthias Bollhöfer
Algebraic Multilevel Methods and Sparse Approximate Inverses. SIAM J. Matrix Anal. Appl. 24(1): 191-218 (2002) - [j1]Matthias Bollhöfer
On the Relations between ILUs and Factored Approximate Inverses. SIAM J. Matrix Anal. Appl. 24(1): 219-237 (2002)
1990 – 1999
- 1998
- [b1]Matthias Bollhöfer:
Algebraic domain decomposition. TU Chemnitz, Germany, Preprint SFB 393 / Technische Universität Chemnitz - Zwickau 98-31, 1998, pp. I-VIII, 1-190
Coauthor Index
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