Hartwig Anzt

2.1k total citations
109 papers, 973 citations indexed

About

Hartwig Anzt is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Hartwig Anzt has authored 109 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computational Theory and Mathematics, 64 papers in Hardware and Architecture and 35 papers in Computer Networks and Communications. Recurrent topics in Hartwig Anzt's work include Matrix Theory and Algorithms (72 papers), Parallel Computing and Optimization Techniques (63 papers) and Distributed and Parallel Computing Systems (23 papers). Hartwig Anzt is often cited by papers focused on Matrix Theory and Algorithms (72 papers), Parallel Computing and Optimization Techniques (63 papers) and Distributed and Parallel Computing Systems (23 papers). Hartwig Anzt collaborates with scholars based in United States, Germany and Spain. Hartwig Anzt's co-authors include Jack Dongarra, Enrique S. Quintana–Ort́ı, Stanimire Tomov, Goran Flegar, Mark Gates, Vincent Heuveline, Edmond Chow, Terry Cojean, Jakub Kurzak and Piotr Łuszczek and has published in prestigious journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, International Journal of Electrical Power & Energy Systems and Future Generation Computer Systems.

In The Last Decade

Hartwig Anzt

98 papers receiving 931 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hartwig Anzt United States 17 515 503 314 177 147 109 973
Mark Frederick Hoemmen United States 15 399 0.8× 438 0.9× 306 1.0× 244 1.4× 144 1.0× 28 954
Gregorio Quintana‐Ortí Spain 20 528 1.0× 376 0.7× 430 1.4× 138 0.8× 91 0.6× 63 1.1k
Laura Grigori France 14 314 0.6× 408 0.8× 239 0.8× 196 1.1× 115 0.8× 75 823
Marc Baboulin France 12 318 0.6× 301 0.6× 197 0.6× 104 0.6× 80 0.5× 31 736
Ichitaro Yamazaki United States 15 263 0.5× 329 0.7× 173 0.6× 147 0.8× 117 0.8× 76 666
Emmanuel Agullo France 14 481 0.9× 191 0.4× 403 1.3× 61 0.3× 90 0.6× 34 727
Greg Henry United States 13 591 1.1× 249 0.5× 472 1.5× 63 0.4× 59 0.4× 37 928
Masha Sosonkina United States 16 297 0.6× 174 0.3× 235 0.7× 100 0.6× 214 1.5× 107 975
Jaeyoung Choi South Korea 16 721 1.4× 239 0.5× 722 2.3× 53 0.3× 102 0.7× 111 1.3k
Andrew Cleary United States 8 262 0.5× 274 0.5× 243 0.8× 277 1.6× 82 0.6× 14 703

Countries citing papers authored by Hartwig Anzt

Since Specialization
Citations

This map shows the geographic impact of Hartwig Anzt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hartwig Anzt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hartwig Anzt more than expected).

Fields of papers citing papers by Hartwig Anzt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hartwig Anzt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hartwig Anzt. The network helps show where Hartwig Anzt may publish in the future.

Co-authorship network of co-authors of Hartwig Anzt

This figure shows the co-authorship network connecting the top 25 collaborators of Hartwig Anzt. A scholar is included among the top collaborators of Hartwig Anzt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hartwig Anzt. Hartwig Anzt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Anzt, Hartwig, Axel Huebl, & Xiaoye Sherry Li. (2024). Then and Now: Improving Software Portability, Productivity, and 100× Performance. Computing in Science & Engineering. 26(1). 61–70. 2 indexed citations
2.
Anzt, Hartwig, et al.. (2024). Towards a platform-portable linear algebra backend for OpenFOAM. Meccanica. 60(6). 1659–1672. 1 indexed citations
3.
Tsai, Yu‐Hsiang, et al.. (2023). Three-precision algebraic multigrid on GPUs. Future Generation Computer Systems. 149. 280–293. 4 indexed citations
4.
Abdelfattah, Ahmad, Stanimire Tomov, Piotr Łuszczek, Hartwig Anzt, & Jack Dongarra. (2023). GPU-based LU Factorization and Solve on Batches of Matrices with Band Structure. 1672–1679.
5.
Anzt, Hartwig, et al.. (2023). Parallel Symbolic Cholesky Factorization. 1721–1727.
6.
Tomás, Andrés E., Enrique S. Quintana–Ort́ı, & Hartwig Anzt. (2023). Fast truncated SVD of sparse and dense matrices on graphics processors. The International Journal of High Performance Computing Applications. 37(3-4). 380–393.
7.
Aliaga, José I., Hartwig Anzt, Enrique S. Quintana–Ort́ı, & Andrés E. Tomás. (2023). Sparse matrix‐vector and matrix‐multivector products for the truncated SVD on graphics processors. Concurrency and Computation Practice and Experience. 35(28). 1 indexed citations
8.
Hoefler, Torsten, Björn Stevens, Andreas F. Prein, et al.. (2023). Earth Virtualization Engines: A Technical Perspective. Computing in Science & Engineering. 25(3). 50–59. 6 indexed citations
9.
Scheinberg, Aaron, et al.. (2023). Integrating batched sparse iterative solvers for the collision operator in fusion plasma simulations on GPUs. Journal of Parallel and Distributed Computing. 178. 69–81. 2 indexed citations
10.
Anzt, Hartwig, et al.. (2022). High Performance Computing. ISC High Performance 2022 International Workshops. Lecture notes in computer science. 8 indexed citations
11.
Tsai, Yu‐Hsiang, Terry Cojean, & Hartwig Anzt. (2022). Providing performance portable numerics for Intel GPUs. Concurrency and Computation Practice and Experience. 35(20). 2 indexed citations
12.
Anzt, Hartwig, et al.. (2022). Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing. ACM Transactions on Mathematical Software. 48(1). 1–33. 39 indexed citations
13.
Aliaga, José I., et al.. (2022). Compressed basis GMRES on high-performance graphics processing units. The International Journal of High Performance Computing Applications. 37(2). 82–100. 7 indexed citations
14.
Aliaga, José I., et al.. (2021). Compression and load balancing for efficient sparse matrix‐vector product on multicore processors and graphics processing units. Concurrency and Computation Practice and Experience. 34(14). 11 indexed citations
15.
Anzt, Hartwig, et al.. (2020). Ginkgo: A high performance numerical linear algebra library. The Journal of Open Source Software. 5(52). 2260–2260. 17 indexed citations
16.
Cojean, Terry, et al.. (2019). A customized precision format based on mantissa segmentation for accelerating sparse linear algebra. Concurrency and Computation Practice and Experience. 32(15). 8 indexed citations
17.
Jagode, Heike, Anthony Danalis, Hartwig Anzt, & Jack Dongarra. (2019). PAPI software-defined events for in-depth performance analysis. The International Journal of High Performance Computing Applications. 33(6). 1113–1127. 12 indexed citations
18.
Anzt, Hartwig, et al.. (2019). Toward a modular precision ecosystem for high-performance computing. The International Journal of High Performance Computing Applications. 33(6). 1069–1078. 11 indexed citations
19.
Anzt, Hartwig, Jack Dongarra, Goran Flegar, Nicholas J. Higham, & Enrique S. Quintana–Ort́ı. (2018). Adaptive precision in block‐Jacobi preconditioning for iterative sparse linear system solvers. Concurrency and Computation Practice and Experience. 31(6). 39 indexed citations
20.
Anzt, Hartwig, Stanimire Tomov, & Jack Dongarra. (2015). Accelerating the LOBPCG method on GPUs using a blocked sparse matrix vector product. IEEE International Conference on High Performance Computing, Data, and Analytics. 75–82. 12 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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