Hartwig Anzt
Hartwig Anzt
TU Munich / University of Tennessee
Verified email at - Homepage
Cited by
Cited by
A survey of numerical linear algebra methods utilizing mixed-precision arithmetic
A Abdelfattah, H Anzt, EG Boman, E Carson, T Cojean, J Dongarra, A Fox, ...
The International Journal of High Performance Computing Applications 35 (4 …, 2021
Iterative sparse triangular solves for preconditioning
H Anzt, E Chow, J Dongarra
Euro-Par 2015: Parallel Processing: 21st International Conference on …, 2015
FAIR principles for research software (FAIR4RS principles)
NP Chue Hong, DS Katz, M Barker, AL Lamprecht, C Martinez, ...
Zenodo, 2022
Adaptive precision in block‐Jacobi preconditioning for iterative sparse linear system solvers
H Anzt, J Dongarra, G Flegar, NJ Higham, ES Quintana‐Ortí
Concurrency and Computation: Practice and Experience 31 (6), e4460, 2019
Incomplete sparse approximate inverses for parallel preconditioning
H Anzt, TK Huckle, J Bräckle, J Dongarra
Parallel Computing 71, 1-22, 2018
Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing
H Anzt, T Cojean, G Flegar, F Göbel, T Grützmacher, P Nayak, T Ribizel, ...
ACM Transactions on Mathematical Software (TOMS) 48 (1), 1-33, 2022
Improving the performance of CA-GMRES on multicores with multiple GPUs
I Yamazaki, H Anzt, S Tomov, M Hoemmen, J Dongarra
2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014
An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action
H Anzt, F Bach, S Druskat, F Löffler, A Loewe, BY Renard, G Seemann, ...
F1000Research 9, 2020
Implementing a Sparse Matrix Vector Product for the SELL-C/SELL-C-σ formats on NVIDIA GPUs
H Anzt, S Tomov, J Dongarra
University of Tennessee, Tech. Rep. ut-eecs-14-727, 2014
Using Jacobi iterations and blocking for solving sparse triangular systems in incomplete factorization preconditioning
E Chow, H Anzt, J Scott, J Dongarra
Journal of Parallel and Distributed Computing 119, 219-230, 2018
Preconditioned krylov solvers on GPUs
H Anzt, M Gates, J Dongarra, M Kreutzer, G Wellein, M Köhler
Parallel Computing 68, 32-44, 2017
Asynchronous iterative algorithm for computing incomplete factorizations on GPUs
E Chow, H Anzt, J Dongarra
High Performance Computing: 30th International Conference, ISC High …, 2015
HiFlow3 a flexible and hardware-aware parallel finite element package
V Heuveline
Proceedings of the 9th Workshop on Parallel/High-Performance Object-Oriented …, 2010
Implementation and tuning of batched Cholesky factorization and solve for NVIDIA GPUs
J Kurzak, H Anzt, M Gates, J Dongarra
IEEE Transactions on Parallel and Distributed Systems 27 (7), 2036-2048, 2015
Load-balancing sparse matrix vector product kernels on gpus
H Anzt, T Cojean, C Yen-Chen, J Dongarra, G Flegar, P Nayak, S Tomov, ...
ACM Transactions on Parallel Computing (TOPC) 7 (1), 1-26, 2020
Accelerating the LOBPCG method on GPUs using a blocked sparse matrix vector product.
H Anzt, S Tomov, JJ Dongarra
SpringSim (HPS), 75-82, 2015
With extreme computing, the rules have changed
J Dongarra, S Tomov, P Luszczek, J Kurzak, M Gates, I Yamazaki, H Anzt, ...
Computing in Science & Engineering 19 (3), 52-62, 2017
ParILUT---a new parallel threshold ILU factorization
H Anzt, E Chow, J Dongarra
SIAM Journal on Scientific Computing 40 (4), C503-C519, 2018
Accelerating collaborative filtering using concepts from high performance computing
M Gates, H Anzt, J Kurzak, J Dongarra
2015 IEEE International Conference on Big Data (Big Data), 667-676, 2015
Acceleration of GPU-based Krylov solvers via data transfer reduction
H Anzt, S Tomov, P Luszczek, W Sawyer, J Dongarra
The International Journal of High Performance Computing Applications 29 (3 …, 2015
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