Iterative sparse triangular solves for preconditioning H Anzt, E Chow, J Dongarra Euro-Par 2015: Parallel Processing: 21st International Conference on …, 2015 | 101 | 2015 |

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 | 92 | 2021 |

FAIR principles for research software (FAIR4RS principles) NPC Hong, DS Katz, M Barker, AL Lamprecht, C Martinez, ... | 75 | 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 | 74 | 2019 |

Incomplete sparse approximate inverses for parallel preconditioning H Anzt, TK Huckle, J Bräckle, J Dongarra Parallel Computing 71, 1-22, 2018 | 65 | 2018 |

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 | 62 | 2014 |

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 | 54 | 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 | 53 | 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 | 50 | 2022 |

Asynchronous iterative algorithm for computing incomplete factorizations on GPUs E Chow, H Anzt, J Dongarra High Performance Computing: 30th International Conference, ISC High …, 2015 | 49 | 2015 |

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 | 48 | 2020 |

HiFlow^{3} a flexible and hardware-aware parallel finite element packageV Heuveline Proceedings of the 9th Workshop on Parallel/High-Performance Object-Oriented …, 2010 | 48 | 2010 |

Preconditioned krylov solvers on GPUs H Anzt, M Gates, J Dongarra, M Kreutzer, G Wellein, M Köhler Parallel Computing 68, 32-44, 2017 | 47 | 2017 |

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 | 47 | 2015 |

A survey of numerical methods utilizing mixed precision arithmetic A Abdelfattah, H Anzt, EG Boman, E Carson, T Cojean, J Dongarra, ... arXiv preprint arXiv:2007.06674, 2020 | 46 | 2020 |

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 | 44 | 2017 |

Accelerating the LOBPCG method on GPUs using a blocked sparse matrix vector product. H Anzt, S Tomov, JJ Dongarra SpringSim (HPS), 75-82, 2015 | 42 | 2015 |

A block-asynchronous relaxation method for graphics processing units H Anzt, S Tomov, J Dongarra, V Heuveline Journal of Parallel and Distributed Computing 73 (12), 1613-1626, 2013 | 42 | 2013 |

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 | 41 | 2020 |

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 | 41 | 2015 |