World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5471
World Ranking
12562
National Ranking
485

Overview

Jakub Kurzak is affiliated with Advanced Micro Devices (Canada) in Canada, specializing in research within the field of Computer Science. Their work predominantly focuses on areas related to Parallel Computing and Optimization Techniques, Distributed and Parallel Computing Systems, Scientific Computing and Data Management, Numerical Methods and Algorithms, Matrix Theory and Algorithms, ATP Synthase and ATPases Research, and Interconnection Networks and Systems.

The scientist has contributed to research published in various venues, with a notable emphasis on the following:

  • arXiv (Cornell University)
  • ACM Transactions on Mathematical Software
  • Procedia Computer Science

Among the recent papers published or co-authored by Jakub Kurzak are:

  • "A Set of Batched Basic Linear Algebra Subprograms and LAPACK Routines," 2021, ACM Transactions on Mathematical Software
  • "Quantum ESPRESSO towards performance portability: GPU offload with OpenMP," 2024, Procedia Computer Science
  • "Breaking the Million-Electron and 1 EFLOP/s Barriers: Biomolecular-Scale Ab Initio Molecular Dynamics Using MP2 Potentials," 2024, arXiv (Cornell University)
  • "Optimizing High-Performance Linpack for Exascale Accelerated Architectures," 2023, arXiv (Cornell University)
  • "Experiences Readying Applications for Exascale," 2023, arXiv (Cornell University)

Jakub Kurzak often collaborates with other researchers. Frequent co-authors include:

  • Dmytro Bykov
  • Noel Chalmers
  • Damon McDougall
  • Paul T. Bauman
  • Ahmad Abdelfattah

The scientist's research intersects several subfields of Computer Science, such as Computer Networks and Communications, Hardware and Architecture, Computational Theory and Mathematics, Information Systems and Management, and Molecular Biology. These subfields reflect the multidisciplinary nature of their work, linking computational methods with applications potentially extending into molecular biology.

Best Publications

  • A class of parallel tiled linear algebra algorithms for multicore architectures

    Alfredo Buttari;Julien Langou;Jakub Kurzak;Jack Dongarra

  • Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects

    Emmanuel Agullo;Jim Demmel;Jack Dongarra;Bilel Hadri

  • Accelerating Scientific Computations with Mixed Precision Algorithms

    Marc Baboulin;Alfredo Buttari;Jack J. Dongarra;Jack J. Dongarra;Jack J. Dongarra;Jakub Kurzak

  • Parallel tiled QR factorization for multicore architectures

    Alfredo Buttari;Julien Langou;Jakub Kurzak;Jack Dongarra

  • Flexible Development of Dense Linear Algebra Algorithms on Massively Parallel Architectures with DPLASMA

    George Bosilca;Aurelien Bouteiller;Anthony Danalis;Mathieu Faverge

  • Exploiting the performance of 32 bit floating point arithmetic in obtaining 64 bit accuracy (revisiting iterative refinement for linear systems)

    Julie Langou;Julien Langou;Piotr Luszczek;Jakub Kurzak

  • Mixed Precision Iterative Refinement Techniques for the Solution of Dense Linear Systems

    Alfredo Buttari;Jack Dongarra;Julie Langou;Julien Langou

  • The impact of multicore on math software

    Alfredo Buttari;Jack Dongarra;Jakub Kurzak;Julien Langou

  • Autotuning GEMM Kernels for the Fermi GPU

    J. Kurzak;S. Tomov;J. Dongarra

  • QUARK Users' Guide: QUeueing And Runtime for Kernels

    Asim YarKhan;Jakub Kurzak;Jack Dongarra

  • Solving Systems of Linear Equations on the CELL Processor Using Cholesky Factorization

    J. Kurzak;A. Buttari;J. Dongarra

  • Scheduling dense linear algebra operations on multicore processors

    Jakub Kurzak;Hatem Ltaief;Jack Dongarra;Rosa M. Badia

  • Accelerating Numerical Dense Linear Algebra Calculations with GPUs

    Jack J. Dongarra;Jack J. Dongarra;Jack J. Dongarra;Mark Gates;Azzam Haidar;Jakub Kurzak

  • Using Mixed Precision for Sparse Matrix Computations to Enhance the Performance while Achieving 64-bit Accuracy

    Alfredo Buttari;Jack Dongarra;Jakub Kurzak;Piotr Luszczek

  • Scheduling dense linear algebra operations on multicore processors

    Unknown

  • Implementation of Mixed Precision in Solving Systems of Linear Equations on the Cell Processor

    Jakub Kurzak;Jack J. Dongarra;Jack J. Dongarra

  • The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale

    Jack J. Dongarra;Mark Gates;Azzam Haidar;Jakub Kurzak

  • Implementing linear algebra routines on multi-core processors with pipelining and a look ahead

    Jakub Kurzak;Jack Dongarra

  • Scientific Computing with Multicore and Accelerators

    Jakub Kurzak;Jakub Kurzak;David A. Bader;Jack Dongarra

  • QR factorization for the Cell Broadband Engine

    Jakub Kurzak;Jack Dongarra

  • Optimizing matrix multiplication for a short-vector SIMD architecture - CELL processor

    Jakub Kurzak;Wesley Alvaro;Jack Dongarra

  • Exploiting the Performance of 32 bit Floating Point Arithmetic in Obtaining 64 bit Accuracy

    Julie Langou;Julien Langou;Piotr Luszczek;Jakub Kurzak

  • Parallel Tiled QR Factorization for Multicore Architectures

    Alfredo Buttari;Julien Langou;Jakub Kurzak;Jack Dongarra

  • PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP

    Jack Dongarra;Mark Gates;Azzam Haidar;Jakub Kurzak

Frequent Co-Authors

Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Piotr Luszczek
Piotr Luszczek University of Tennessee at Knoxville
Stanimire Tomov
Stanimire Tomov University of Tennessee at Knoxville
George Bosilca
George Bosilca University of Tennessee at Knoxville
Rosa M. Badia
Rosa M. Badia Barcelona Supercomputing Center
Thomas Herault
Thomas Herault University of Tennessee at Knoxville
James Demmel
James Demmel University of California, Berkeley
Yves Robert
Yves Robert École Normale Supérieure de Lyon
Katherine Yelick
Katherine Yelick University of California, Berkeley
David A. Bader
David A. Bader New Jersey Institute of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re considering studying Computer Science in the USA, there are a variety of related online degrees and flexible education options to enhance your career prospects. For those interested in leveraging the power of big data, exploring data science programs can be a smart move. These programs typically combine technical skills and analytical thinking to help you stay competitive in today’s job market.

Students seeking a more technically focused path might consider accredited online electrical engineering programs. These allow you to gain specialized knowledge while maintaining the flexibility of online study. Plus, online programs can often be more affordable and adaptable to your schedule.

If you want to enter the workforce quickly, check out easy licenses and certifications to get that lead to well-paying roles. Complementing your degree with industry-recognized certifications can open doors to new opportunities.

For those looking to advance quickly, exploring the shortest online masters degree options can help you move up in your career in less time. Accelerated master’s programs offer advanced learning with a streamlined timeline.

Best Scientists Citing Jakub Kurzak

Trending Scientists

Recently Published Articles