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Computer Science

D-Index
42
Citations
8676
World Ranking
8297
National Ranking
3558

Overview

Piotr Luszczek is affiliated with the University of Tennessee at Knoxville in the United States. Their research contributions primarily focus on areas within computer science, particularly in computational theory, mathematics, and the broader fields of high-performance and parallel computing.

Their main fields of study include:

  • Computer Science

Subfields of study cover a range of topics including:

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Hardware and Architecture
  • Artificial Intelligence
  • Information Systems and Management

The main topics addressed in their work involve:

  • Matrix Theory and Algorithms
  • Parallel Computing and Optimization Techniques
  • Numerical Methods and Algorithms
  • Distributed and Parallel Computing Systems
  • Advanced Data Storage Technologies
  • Scientific Computing and Data Management
  • Polynomial and algebraic computation

Piotr Luszczek has been actively involved in multiple publication venues, with frequent contributions to:

  • arXiv (Cornell University)
  • The International Journal of High Performance Computing Applications
  • ACM Transactions on Mathematical Software
  • Parallel Computing
  • IEEE Transactions on Parallel and Distributed Systems

Their recent papers include:

  • "A survey of numerical linear algebra methods utilizing mixed-precision arithmetic," 2021, The International Journal of High Performance Computing Applications
  • "OpenMP application experiences: Porting to accelerated nodes," 2021, Parallel Computing
  • "A Set of Batched Basic Linear Algebra Subprograms and LAPACK Routines," 2021, ACM Transactions on Mathematical Software
  • "A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic," 2020, arXiv (Cornell University)
  • "Accelerating Restarted GMRES With Mixed Precision Arithmetic," 2021, IEEE Transactions on Parallel and Distributed Systems

Piotr Luszczek has collaborated frequently with several co-authors, including:

  • Jack Dongarra
  • Mark Gates
  • Jeremy Kepner
  • Hayden Jananthan
  • William Arcand

The scientist has also contributed to multiple book publications with Springer Science+Business Media, including:

  • High Performance Computing, 2021
  • High Performance Computing, 2021
  • High Performance Computing. ISC High Performance 2022 International Workshops, 2022
  • Supercomputing Frontiers, 2022

Best Publications

  • The LINPACK Benchmark: past, present and future

    Jack J. Dongarra;Piotr Luszczek;Antoine Petitet

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

    Emmanuel Agullo;Jim Demmel;Jack Dongarra;Bilel Hadri

  • From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming

    Peng Du;Rick Weber;Piotr Luszczek;Stanimire Tomov

  • The HPC Challenge (HPCC) benchmark suite

    Piotr R Luszczek;David H Bailey;Jack J Dongarra;Jeremy Kepner

  • Accelerating Scientific Computations with Mixed Precision Algorithms

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

  • Measuring Energy and Power with PAPI

    Vincent M. Weaver;Matt Johnson;Kiran Kasichayanula;James Ralph

  • Introduction to the HPC Challenge Benchmark Suite

    Piotr Luszczek;Jack J. Dongarra;David Koester;Rolf Rabenseifner

  • High-performance conjugate-gradient benchmark

    Jack Dongarra;Michael A Heroux;Piotr Luszczek

  • 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

  • Introduction to the HPCChallenge Benchmark Suite

    Jack J. Dongarra;Piotr Luszczek

  • HPCG Benchmark: a New Metric for Ranking High Performance Computing Systems

    Jack Dongarra;Michael A. Heroux;Piotr Luszczek

  • 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

  • A survey of numerical linear algebra methods utilizing mixed-precision arithmetic:

    Ahmad Abdelfattah;Hartwig Anzt;Hartwig Anzt;Erik G. Boman;Erin C. Carson

  • Power Aware Computing on GPUs

    Kiran Kasichayanula;Dan Terpstra;Piotr Luszczek;Stan Tomov

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

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

  • Self-adapting software for numerical linear algebra and LAPACK for clusters

    Zizhong Chen;Jack Dongarra;Piotr Luszczek;Kenneth Roche

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

    Julie Langou;Julien Langou;Piotr Luszczek;Jakub Kurzak

  • 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
Jakub Kurzak
Jakub Kurzak Advanced Micro Devices (Canada)
Stanimire Tomov
Stanimire Tomov University of Tennessee at Knoxville
George Bosilca
George Bosilca University of Tennessee at Knoxville
Thomas Herault
Thomas Herault University of Tennessee at Knoxville
Michael A. Heroux
Michael A. Heroux Sandia National Laboratories
Jeffrey S. Vetter
Jeffrey S. Vetter Oak Ridge National Laboratory
James Demmel
James Demmel University of California, Berkeley
Barry Smith
Barry Smith Argonne National Laboratory
Nicholas J. Higham
Nicholas J. Higham University of Manchester

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