Jakub Kurzak

4.3k total citations · 1 hit paper
85 papers, 2.2k citations indexed

About

Jakub Kurzak is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Jakub Kurzak has authored 85 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Hardware and Architecture, 41 papers in Computer Networks and Communications and 34 papers in Computational Theory and Mathematics. Recurrent topics in Jakub Kurzak's work include Parallel Computing and Optimization Techniques (58 papers), Distributed and Parallel Computing Systems (25 papers) and Matrix Theory and Algorithms (25 papers). Jakub Kurzak is often cited by papers focused on Parallel Computing and Optimization Techniques (58 papers), Distributed and Parallel Computing Systems (25 papers) and Matrix Theory and Algorithms (25 papers). Jakub Kurzak collaborates with scholars based in United States, United Kingdom and France. Jakub Kurzak's co-authors include Jack Dongarra, Alfredo Buttari, Julien Langou, Piotr Łuszczek, Stanimire Tomov, Julie Langou, Hatem Ltaief, Mark Gates, Asim YarKhan and B. Montgomery Pettitt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Journal of Computational Physics.

In The Last Decade

Jakub Kurzak

81 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A class of parallel tiled linear algebra algorithms for multicore architectures

2008 283 citations Alfredo Buttari, Julien Langou et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jakub Kurzak United States	25	1.4k	967	790	260	245	85	2.2k
Julien Langou United States	20	1.0k 0.7×	813 0.8×	809 1.0×	249 1.0×	304 1.2×	55	2.1k
Hatem Ltaief Saudi Arabia	20	904 0.6×	708 0.7×	439 0.6×	208 0.8×	182 0.7×	104	1.6k
Piotr Łuszczek United States	26	2.0k 1.4×	1.6k 1.7×	798 1.0×	331 1.3×	411 1.7×	137	3.1k
Antoine Petitet United States	17	1.7k 1.2×	1.6k 1.6×	452 0.6×	407 1.6×	260 1.1×	28	2.6k
Fred G. Gustavson United States	24	1.2k 0.9×	992 1.0×	950 1.2×	427 1.6×	523 2.1×	63	2.8k
В. М. Волков Belarus	14	1.2k 0.9×	1.0k 1.0×	292 0.4×	339 1.3×	278 1.1×	46	2.2k
John L. Gustafson United States	18	1.1k 0.8×	930 1.0×	479 0.6×	298 1.1×	435 1.8×	79	2.2k
Mikhail Smelyanskiy United States	22	1.3k 0.9×	1.1k 1.1×	221 0.3×	381 1.5×	340 1.4×	56	2.3k
Azzam Haidar United States	19	692 0.5×	469 0.5×	401 0.5×	173 0.7×	98 0.4×	79	1.2k
Sivasankaran Rajamanickam United States	21	547 0.4×	548 0.6×	434 0.5×	306 1.2×	286 1.2×	90	2.0k

Countries citing papers authored by Jakub Kurzak

Since Specialization

Citations

This map shows the geographic impact of Jakub Kurzak'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 Jakub Kurzak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakub Kurzak more than expected).

Fields of papers citing papers by Jakub Kurzak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jakub Kurzak. 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 Jakub Kurzak. The network helps show where Jakub Kurzak may publish in the future.

Co-authorship network of co-authors of Jakub Kurzak

This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Kurzak. A scholar is included among the top collaborators of Jakub Kurzak 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 Jakub Kurzak. Jakub Kurzak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kurzak, Jakub, Mark Gates, Ali Charara, Asim YarKhan, & Jack Dongarra. (2019). SLATE Working Note 12: Implementing Matrix Inversions. 1 indexed citations

Kurzak, Jakub, Piotr Łuszczek, Ichitaro Yamazaki, Yves Robert, & Jack Dongarra. (2017). Design and Implementation of the PULSAR Programming System for Large Scale Computing. Supercomputing Frontiers and Innovations. 4(1). 2 indexed citations

Łuszczek, Piotr, Jakub Kurzak, Ichitaro Yamazaki, David J. Keffer, & Jack Dongarra. (2017). Scaling point set registration in 3D across thread counts on multicore and hardware accelerator platforms through autotuning for large scale analysis of scientific point clouds. 7. 2893–2902.

Łuszczek, Piotr, et al.. (2016). Performance-portable autotuning of OpenCL kernels for convolutional layers of deep neural networks. IEEE International Conference on High Performance Computing, Data, and Analytics. 9–18. 7 indexed citations

Gates, Mark, Hartwig Anzt, Jakub Kurzak, & Jack Dongarra. (2015). Accelerating collaborative filtering using concepts from high performance computing. 667–676. 21 indexed citations

Yamazaki, Ichitaro, Théo Mary, Jakub Kurzak, Stanimire Tomov, & Jack Dongarra. (2014). Access-averse framework for computing low-rank matrix approximations. HAL (Le Centre pour la Communication Scientifique Directe). 70–77. 2 indexed citations

Yamazaki, Ichitaro, Jakub Kurzak, Piotr Łuszczek, & Jack Dongarra. (2014). Design and Implementation of a Large Scale Tree-Based QR Decomposition Using a 3D Virtual Systolic Array and a Lightweight Runtime. 1495–1504. 1 indexed citations

Kurzak, Jakub, et al.. (2014). Search Space Pruning Constraints Visualization. 27. 30–39. 3 indexed citations

YarKhan, Asim, Jakub Kurzak, & Jack Dongarra. (2011). QUARK Users' Guide: QUeueing And Runtime for Kernels. 61 indexed citations

10.

Kurzak, Jakub, et al.. (2010). Scheduling Two-sided Transformations using Tile Algorithms on Multicore Architectures. Journal of Scientific Computing. 18. 1 indexed citations

11.

Kurzak, Jakub & Jack Dongarra. (2009). QR Factorization for the Cell Broadband Engine. SHILAP Revista de lepidopterología. 1 indexed citations

12.

Ltaief, Hatem, Jakub Kurzak, & Jack Dongarra. (2009). Parallel Two-Sided Matrix Reduction to Band Bidiagonal Form on Multicore Architectures. IEEE Transactions on Parallel and Distributed Systems. 21(4). 417–423. 19 indexed citations

13.

Kurzak, Jakub & Jack Dongarra. (2008). QR Factorization for the CELL Processor. Scientific Programming. 17. 9 indexed citations

14.

Kurzak, Jakub, Hatem Ltaief, Jack Dongarra, & Rosa M. Badía. (2008). Scheduling for Numerical Linear Algebra Library at Scale. IEEE International Conference on High Performance Computing, Data, and Analytics. 18. 3–26. 2 indexed citations

15.

Kurzak, Jakub, Dragan Mirković, B. Montgomery Pettitt, & S. Lennart Johnsson. (2008). Automatic Generation of FFT for Translations of Multipole Expansions in Spherical Harmonics. The International Journal of High Performance Computing Applications. 22(2). 219–230. 3 indexed citations

16.

Kurzak, Jakub, et al.. (2008). Parallel Block Hessenberg Reduction using Algorithms-By-Tiles for Multicore Architectures Revisited. 6 indexed citations

17.

Kurzak, Jakub & Jack Dongarra. (2007). Implementation of mixed precision in solving systems of linear equations on the Cell processor. Concurrency and Computation Practice and Experience. 19(10). 1371–1385. 44 indexed citations

18.

Buttari, Alfredo, Jack Dongarra, Jakub Kurzak, et al.. (2006). Exploiting Mixed Precision Floating Point Hardware in Scientific Computations. IEEE International Conference on High Performance Computing, Data, and Analytics. 19–36. 10 indexed citations

19.

Langou, Julie, Julien Langou, Piotr Łuszczek, et al.. (2006). Exploiting the Performance of 32 bit Floating Point Arithmetic in Obtaining 64 bit Accuracy (Revisiting Iterative Refinement for Linear Systems). 50–50. 54 indexed citations

20.

Kurzak, Jakub & B. Montgomery Pettitt. (2006). Fast multipole methods for particle dynamics. Molecular Simulation. 32(10-11). 775–790. 29 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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