Porting CHAOS Library to MPI. - Marian Bubak; Piotr Luszczek; Agnieszka Wierzbowska (PVM/MPI, 1998)

Towards Portable Runtime Support for Irregular and Out-of-Core Computations. - Marian Bubak; Piotr Luszczek (PVM/MPI, 1999)

A Versatile Support for Binding Native Code to Java. - Marian Bubak; Dawid Kurzyniec; Piotr Luszczek (HPCN Europe, 2000)

Convenient use of legacy software in Java with Janet package. - Marian Bubak; Dawid Kurzyniec; Piotr Luszczek (Future Gener. Comput. Syst., 2001)

Creating Java to Native Code Interfaces with Janet. - Marian Bubak; Dawid Kurzyniec; Piotr Luszczek; Vaidy S. Sunderam (Sci. Program., 2001)

Recursive approach in sparse matrix LU factorization. - Jack J. Dongarra; Victor Eijkhout; Piotr Luszczek (Sci. Program., 2001)

Self-Adapting Software for Numerical Linear Algebra Library Routines on Clusters. - Zizhong Chen; Jack J. Dongarra; Piotr Luszczek; Kenneth Roche (International Conference on Computational Science, 2003)

The LINPACK Benchmark: past, present and future. - Jack J. Dongarra; Piotr Luszczek; Antoine Petitet (Concurr. Comput. Pract. Exp., 2003)

Self-adapting software for numerical linear algebra and LAPACK for clusters. - Zizhong Chen; Jack J. Dongarra; Piotr Luszczek; Kenneth Roche (Parallel Comput., 2003)

The LAPACK for Clusters Project: An Example of Self Adapting Numerical Software. - Zizhong Chen; Jack J. Dongarra; Piotr Luszczek; Kenneth Roche (HICSS, 2004)

Design of Interactive Environment for Numerically Intensive Parallel Linear Algebra Calculations. - Piotr Luszczek; Jack J. Dongarra (International Conference on Computational Science, 2004)

Exploiting Mixed Precision Floating Point Hardware in Scientific Computations. - Alfredo Buttari; Jack J. Dongarra; Jakub Kurzak; Julie Langou; Julien Langou; Piotr Luszczek; Stanimire Tomov (High Performance Computing Workshop, 2006)

The Impact of Multicore on Math Software. - Alfredo Buttari; Jack J. Dongarra; Jakub Kurzak; Julien Langou; Piotr Luszczek; Stanimire Tomov (PARA, 2006)

Prospectus for the Next LAPACK and ScaLAPACK Libraries. - James Demmel; Jack J. Dongarra; Beresford N. Parlett; William Kahan; Ming Gu 002; David Bindel; Yozo Hida; Xiaoye S. Li; Osni Marques; E. Jason Riedy; Christof Vömel; Julien Langou; et al. (PARA, 2006)

Tools and techniques for performance - 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; Alfredo Buttari; Jack J. Dongarra (SC, 2006)

S12 - The HPC Challenge (HPCC) benchmark suite. - Piotr Luszczek; David H. Bailey; Jack J. Dongarra; Jeremy Kepner; Robert F. Lucas; Rolf Rabenseifner; Daisuke Takahashi (SC, 2006)

Self-adapting numerical software (SANS) effort. - Jack J. Dongarra; George Bosilca; Zizhong Chen; Victor Eijkhout; Graham E. Fagg; Erika Fuentes; Julien Langou; Piotr Luszczek; Jelena Pjesivac-Grbovic; Keith Seymour; Haihang You; Sathish S. Vadhiyar (IBM J. Res. Dev., 2006)

Mixed Precision Iterative Refinement Techniques for the Solution of Dense Linear Systems. - Alfredo Buttari; Jack J. Dongarra; Julie Langou; Julien Langou; Piotr Luszczek; Jakub Kurzak (Int. J. High Perform. Comput. Appl., 2007)

High Performance Development for High End Computing With Python Language Wrapper (PLW). - Piotr Luszczek; Jack J. Dongarra (Int. J. High Perform. Comput. Appl., 2007)

Prospectus for a Dense Linear Algebra Software Library. - Yozo Hida; James Demmel; Julien Langou; Jakub Kurzak; Ming Gu 002; Alfredo Buttari; Stanimire Tomov; Piotr Luszczek; Julie Langou; Osni Marques; Christof Vömel; Xiaoye S. Li; et al. (Handbook of Parallel Computing, 2007)

DARPA's HPCS Program- History, Models, Tools, Languages. - Jack J. Dongarra; Robert B. Graybill; William J. Harrod; Robert F. Lucas; Ewing L. Lusk; Piotr Luszczek; Janice McMahon; Allan Snavely; Jeffrey S. Vetter; Katherine A. Yelick; Sadaf R. Alam; Roy L. Campbell; et al. (Adv. Comput., 2008)

The PlayStation 3 for High-Performance Scientific Computing. - Jakub Kurzak; Alfredo Buttari; Piotr Luszczek; Jack J. Dongarra (Comput. Sci. Eng., 2008)

Using Mixed Precision for Sparse Matrix Computations to Enhance the Performance while Achieving 64-bit Accuracy. - Alfredo Buttari; Jack J. Dongarra; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov (ACM Trans. Math. Softw., 2008)

Accelerating scientific computations with mixed precision algorithms. - Marc Baboulin; Alfredo Buttari; Jack J. Dongarra; Jakub Kurzak; Julie Langou; Julien Langou; Piotr Luszczek; Stanimire Tomov (Comput. Phys. Commun., 2009)

Parallel Programming in MATLAB. - Piotr Luszczek (Int. J. High Perform. Comput. Appl., 2009)

Mixed-Tool Performance Analysis on Hybrid Multicore Architectures. - Peng Du; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra (ICPP Workshops, 2010)

High Performance Dense Linear System Solver with Soft Error Resilience. - Peng Du; Piotr Luszczek; Jack J. Dongarra (CLUSTER, 2011)

Evaluation of the HPC Challenge Benchmarks in Virtualized Environments. - Piotr Luszczek; Eric Meek; Shirley Moore; Daniel Terpstra; Vincent M. Weaver; Jack J. Dongarra (Euro-Par Workshops (2), 2011)

Flexible Development of Dense Linear Algebra Algorithms on Massively Parallel Architectures with DPLASMA. - George Bosilca; Aurélien Bouteiller; Anthony Danalis; Mathieu Faverge; Azzam Haidar; Thomas Hérault; Jakub Kurzak; Julien Langou; Pierre Lemarinier; Hatem Ltaief; Piotr Luszczek; Asim YarKhan; et al. (IPDPS Workshops, 2011)

Two-Stage Tridiagonal Reduction for Dense Symmetric Matrices Using Tile Algorithms on Multicore Architectures. - Piotr Luszczek; Hatem Ltaief; Jack J. Dongarra (IPDPS, 2011)

Exploiting Fine-Grain Parallelism in Recursive LU Factorization. - Jack J. Dongarra; Mathieu Faverge; Hatem Ltaief; Piotr Luszczek (PARCO, 2011)

Solving the Generalized Symmetric Eigenvalue Problem using Tile Algorithms on Multicore Architectures. - Hatem Ltaief; Piotr Luszczek; Azzam Haidar; Jack J. Dongarra (PARCO, 2011)

Enhancing Parallelism of Tile Bidiagonal Transformation on Multicore Architectures Using Tree Reduction. - Hatem Ltaief; Piotr Luszczek; Jack J. Dongarra (PPAM (1), 2011)

Reducing the Time to Tune Parallel Dense Linear Algebra Routines with Partial Execution and Performance Modeling. - Piotr Luszczek; Jack J. Dongarra (PPAM (1), 2011)

High performance matrix inversion based on LU factorization for multicore architectures. - Jack J. Dongarra; Mathieu Faverge; Hatem Ltaief; Piotr Luszczek (MTAGS@SC, 2011)

Linear algebra - software issues. - Piotr Luszczek; Jack J. Dongarra (Scholarpedia, 2011)

Benchmarks. - Jack J. Dongarra; Piotr Luszczek (Encyclopedia of Parallel Computing, 2011)

HPC Challenge Benchmark. - Jack J. Dongarra; Piotr Luszczek (Encyclopedia of Parallel Computing, 2011)

LAPACK. - Jack J. Dongarra; Piotr Luszczek (Encyclopedia of Parallel Computing, 2011)

Linear Algebra Software. - Jack J. Dongarra; Piotr Luszczek (Encyclopedia of Parallel Computing, 2011)

LINPACK Benchmark. - Jack J. Dongarra; Piotr Luszczek (Encyclopedia of Parallel Computing, 2011)

Livermore Loops. - Jack J. Dongarra; Piotr Luszczek (Encyclopedia of Parallel Computing, 2011)

PLASMA. - Jack J. Dongarra; Piotr Luszczek (Encyclopedia of Parallel Computing, 2011)

ScaLAPACK. - Jack J. Dongarra; Piotr Luszczek (Encyclopedia of Parallel Computing, 2011)

TOP500. - Jack J. Dongarra; Piotr Luszczek (Encyclopedia of Parallel Computing, 2011)

Dense Linear Algebra on Accelerated Multicore Hardware. - Jack J. Dongarra; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov (High-Performance Scientific Computing, 2012)

Energy Footprint of Advanced Dense Numerical Linear Algebra Using Tile Algorithms on Multicore Architectures. - Jack J. Dongarra; Hatem Ltaief; Piotr Luszczek; Vincent M. Weaver (CGC, 2012)

GPU-Accelerated Asynchronous Error Correction for Mixed Precision Iterative Refinement. - Hartwig Anzt; Piotr Luszczek; Jack J. Dongarra; Vincent Heuveline (Euro-Par, 2012)

Scalable Dense Linear Algebra on Heterogeneous Hardware. - George Bosilca; Aurélien Bouteiller; Anthony Danalis; Thomas Hérault; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra (High Performance Computing Workshop (2), 2012)

Anatomy of a globally recursive embedded LINPACK benchmark. - Jack J. Dongarra; Piotr Luszczek (HPEC, 2012)

Measuring Energy and Power with PAPI. - Vincent M. Weaver; Matt Johnson 002; Kiran Kasichayanula; James Ralph; Piotr Luszczek; Daniel Terpstra; Shirley Moore (ICPP Workshops, 2012)

A Comprehensive Study of Task Coalescing for Selecting Parallelism Granularity in a Two-Stage Bidiagonal Reduction. - Azzam Haidar; Hatem Ltaief; Piotr Luszczek; Jack J. Dongarra (IPDPS, 2012)

Programming the LU Factorization for a Multicore System with Accelerators. - Jakub Kurzak; Piotr Luszczek; Mathieu Faverge; Jack J. Dongarra (VECPAR, 2012)

Profiling high performance dense linear algebra algorithms on multicore architectures for power and energy efficiency. - Hatem Ltaief; Piotr Luszczek; Jack J. Dongarra (Comput. Sci. Res. Dev., 2012)

From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming. - Peng Du; Rick Weber; Piotr Luszczek; Stanimire Tomov; Gregory D. Peterson; Jack J. Dongarra (Parallel Comput., 2012)

High Performance Dense Linear System Solver with Resilience to Multiple Soft Errors. - Peng Du; Piotr Luszczek; Jack J. Dongarra (ICCS, 2012)

Multi-GPU Implementation of LU Factorization. - Yulu Jia; Piotr Luszczek; Jack J. Dongarra (ICCS, 2012)

BlackjackBench: portable hardware characterization. - Anthony Danalis; Piotr Luszczek; Gabriel Marin; Jeffrey S. Vetter; Jack J. Dongarra (SIGMETRICS Perform. Evaluation Rev., 2012)

Implementing a Systolic Algorithm for QR Factorization on Multicore Clusters with PaRSEC. - Guillaume Aupy; Mathieu Faverge; Yves Robert; Jakub Kurzak; Piotr Luszczek; Jack J. Dongarra (Euro-Par Workshops, 2013)

Virtual Systolic Array for QR Decomposition. - Jakub Kurzak; Piotr Luszczek; Mark Gates; Ichitaro Yamazaki; Jack J. Dongarra (IPDPS, 2013)

Portable HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi. - Jack J. Dongarra; Mark Gates; Azzam Haidar; Yulu Jia; Khairul Kabir; Piotr Luszczek; Stanimire Tomov (PPAM (1), 2013)

An improved parallel singular value algorithm and its implementation for multicore hardware. - Azzam Haidar; Jakub Kurzak; Piotr Luszczek (SC, 2013)

Parallel reduction to hessenberg form with algorithm-based fault tolerance. - Yulu Jia; George Bosilca; Piotr Luszczek; Jack J. Dongarra (SC, 2013)

CPU-GPU hybrid bidiagonal reduction with soft error resilience. - Yulu Jia; Piotr Luszczek; George Bosilca; Jack J. Dongarra (ScalA@SC, 2013)

Soft error resilient QR factorization for hybrid system with GPGPU. - Peng Du; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra (J. Comput. Sci., 2013)

High-performance bidiagonal reduction using tile algorithms on homogeneous multicore architectures. - Hatem Ltaief; Piotr Luszczek; Jack J. Dongarra (ACM Trans. Math. Softw., 2013)

LU Factorization with Partial Pivoting for a Multicore System with Accelerators. - Jakub Kurzak; Piotr Luszczek; Mathieu Faverge; Jack J. Dongarra (IEEE Trans. Parallel Distributed Syst., 2013)

Accelerating Numerical Dense Linear Algebra Calculations with GPUs. - Jack J. Dongarra; Mark Gates; Azzam Haidar; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Ichitaro Yamazaki (Numerical Computations with GPUs, 2014)

LU Factorization of Small Matrices: Accelerating Batched DGETRF on the GPU. - Tingxing Dong; Azzam Haidar; Piotr Luszczek; James Austin Harris; Stanimire Tomov; Jack J. Dongarra (HPCC/CSS/ICESS, 2014)

Parallel Simulation of Superscalar Scheduling. - Blake Haugen; Jakub Kurzak; Asim YarKhan; Piotr Luszczek; Jack J. Dongarra (ICPP, 2014)

Optimizing Krylov Subspace Solvers on Graphics Processing Units. - Hartwig Anzt; William B. Sawyer; Stanimire Tomov; Piotr Luszczek; Ichitaro Yamazaki; Jack J. Dongarra (IPDPS Workshops, 2014)

Unified Development for Mixed Multi-GPU and Multi-coprocessor Environments Using a Lightweight Runtime Environment. - Azzam Haidar; Chongxiao Cao; Asim YarKhan; Piotr Luszczek; Stanimire Tomov; Khairul Kabir; Jack J. Dongarra (IPDPS, 2014)

New Algorithm for Computing Eigenvectors of the Symmetric Eigenvalue Problem. - Azzam Haidar; Piotr Luszczek; Jack J. Dongarra (IPDPS Workshops, 2014)

clMAGMA: high performance dense linear algebra with OpenCL. - Chongxiao Cao; Jack J. Dongarra; Peng Du; Mark Gates; Piotr Luszczek; Stanimire Tomov (IWOCL, 2014)

Performance and portability with OpenCL for throughput-oriented HPC workloads across accelerators, coprocessors, and multicore processors. - Chongxiao Cao; Mark Gates; Azzam Haidar; Piotr Luszczek; Stanimire Tomov; Ichitaro Yamazaki; Jack J. Dongarra (ScalA@SC, 2014)

Heterogenous Acceleration for Linear Algebra in Multi-coprocessor Environments. - Azzam Haidar; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra (VECPAR, 2014)

BlackjackBench: Portable Hardware Characterization with Automated Results' Analysis. - Anthony Danalis; Piotr Luszczek; Gabriel Marin; Jeffrey S. Vetter; Jack J. Dongarra (Comput. J., 2014)

Achieving numerical accuracy and high performance using recursive tile LU factorization with partial pivoting. - Jack J. Dongarra; Mathieu Faverge; Hatem Ltaief; Piotr Luszczek (Concurr. Comput. Pract. Exp., 2014)

Looking back at dense linear algebra software. - Piotr Luszczek; Jakub Kurzak; Jack J. Dongarra (J. Parallel Distributed Comput., 2014)

Design and Implementation of a Large Scale Tree-Based QR Decomposition Using a 3D Virtual Systolic Array and a Lightweight Runtime. - Ichitaro Yamazaki; Jakub Kurzak; Piotr Luszczek; Jack J. Dongarra (Parallel Process. Lett., 2014)

Model-Driven One-Sided Factorizations on Multicore Accelerated Systems. - Jack J. Dongarra; Azzam Haidar; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Asim YarKhan (Supercomput. Front. Innov., 2014)

Flexible Linear Algebra Development and Scheduling with Cholesky Factorization. - Azzam Haidar; Asim YarKhan; Chongxiao Cao; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra (HPCC/CSS/ICESS, 2015)

MAGMA embedded: Towards a dense linear algebra library for energy efficient extreme computing. - Azzam Haidar; Stanimire Tomov; Piotr Luszczek; Jack J. Dongarra (HPEC, 2015)

Towards batched linear solvers on accelerated hardware platforms. - Azzam Haidar; Tingxing Dong; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra (PPoPP, 2015)

Optimization for performance and energy for batched matrix computations on GPUs. - Azzam Haidar; Tingxing Dong; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra (GPGPU@PPoPP, 2015)

Weighted dynamic scheduling with many parallelism grains for offloading of numerical workloads to multiple varied accelerators. - Azzam Haidar; Yulu Jia; Piotr Luszczek; Stanimire Tomov; Asim YarKhan; Jack J. Dongarra (ScalA@SC, 2015)

Performance of random sampling for computing low-rank approximations of a dense matrix on GPUs. - Théo Mary; Ichitaro Yamazaki; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra (SC, 2015)

Randomized algorithms to update partial singular value decomposition on a hybrid CPU/GPU cluster. - Ichitaro Yamazaki; Jakub Kurzak; Piotr Luszczek; Jack J. Dongarra (SC, 2015)

A Framework for Batched and GPU-Resident Factorization Algorithms Applied to Block Householder Transformations. - Azzam Haidar; Tingxing Tim Dong; Stanimire Tomov; Piotr Luszczek; Jack J. Dongarra (ISC, 2015)

Experiences in autotuning matrix multiplication for energy minimization on GPUs. - Hartwig Anzt; Blake Haugen; Jakub Kurzak; Piotr Luszczek; Jack J. Dongarra (Concurr. Comput. Pract. Exp., 2015)

A survey of recent developments in parallel implementations of Gaussian elimination. - Simplice Donfack; Jack J. Dongarra; Mathieu Faverge; Mark Gates; Jakub Kurzak; Piotr Luszczek; Ichitaro Yamazaki (Concurr. Comput. Pract. Exp., 2015)

Acceleration of GPU-based Krylov solvers via data transfer reduction. - Hartwig Anzt; Stanimire Tomov; Piotr Luszczek; William B. Sawyer; Jack J. Dongarra (Int. J. High Perform. Comput. Appl., 2015)

HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi. - Jack J. Dongarra; Mark Gates; Azzam Haidar; Yulu Jia; Khairul Kabir; Piotr Luszczek; Stanimire Tomov (Sci. Program., 2015)

Parallel Programming Models for Dense Linear Algebra on Heterogeneous Systems. - Jack J. Dongarra; Maksims Abalenkovs; Ahmad Abdelfattah; Mark Gates; Azzam Haidar; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Ichitaro Yamazaki; Asim YarKhan (Supercomput. Front. Innov., 2015)

Hessenberg Reduction with Transient Error Resilience on GPU-Based Hybrid Architectures. - Yulu Jia; Piotr Luszczek; Jack J. Dongarra (IPDPS Workshops, 2016)

Search Space Generation and Pruning System for Autotuners. - Piotr Luszczek; Mark Gates; Jakub Kurzak; Anthony Danalis; Jack J. Dongarra (IPDPS Workshops, 2016)

Heterogeneous Streaming. - Chris J. Newburn; Gaurav Bansal; Michael Wood; Luis Crivelli; Judit Planas; Alejandro Duran; Paulo Souza; Leonardo Borges; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra; Hartwig Anzt; et al. (IPDPS Workshops, 2016)

Performance-Portable Autotuning of OpenCL Kernels for Convolutional Layers of Deep Neural Networks. - Yaohung M. Tsai; Piotr Luszczek; Jakub Kurzak; Jack J. Dongarra (MLHPC@SC, 2016)

Task-Based Cholesky Decomposition on Knights Corner Using OpenMP. - Joseph Dorris; Jakub Kurzak; Piotr Luszczek; Asim YarKhan; Jack J. Dongarra (ISC Workshops, 2016)

Linear algebra software for large-scale accelerated multicore computing. - Ahmad Abdelfattah; Hartwig Anzt; Jack J. Dongarra; Mark Gates; Azzam Haidar; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Ichitaro Yamazaki; Asim YarKhan (Acta Numer., 2016)

High-performance conjugate-gradient benchmark: A new metric for ranking high-performance computing systems. - Jack J. Dongarra; Michael A. Heroux; Piotr Luszczek (Int. J. High Perform. Comput. Appl., 2016)

Bringing High Performance Computing to Big Data Algorithms. - Hartwig Anzt; Jack J. Dongarra; Mark Gates; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Ichitaro Yamazaki (Handbook of Big Data Technologies, 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. - Piotr Luszczek; Jakub Kurzak; Ichitaro Yamazaki; David J. Keffer; Jack J. Dongarra (IEEE BigData, 2017)

Towards numerical benchmark for half-precision floating point arithmetic. - Piotr Luszczek; Jakub Kurzak; Ichitaro Yamazaki; Jack J. Dongarra (HPEC, 2017)

Autotuning Batch Cholesky Factorization in CUDA with Interleaved Layout of Matrices. - Mark Gates; Jakub Kurzak; Piotr Luszczek; Yu Pei; Jack J. Dongarra (IPDPS Workshops, 2017)

Improving Performance of GMRES by Reducing Communication and Pipelining Global Collectives. - Ichitaro Yamazaki; Mark Hoemmen; Piotr Luszczek; Jack J. Dongarra (IPDPS Workshops, 2017)

Interoperable Convergence of Storage, Networking and Computation. - Micah Beck; Terry Moore; Piotr Luszczek (CoRR, 2017)

With Extreme Computing, the Rules Have Changed. - Jack J. Dongarra; Stanimire Tomov; Piotr Luszczek; Jakub Kurzak; Mark Gates; Ichitaro Yamazaki; Hartwig Anzt; Azzam Haidar; Ahmad Abdelfattah (Comput. Sci. Eng., 2017)

Porting the PLASMA Numerical Library to the OpenMP Standard. - Asim YarKhan; Jakub Kurzak; Piotr Luszczek; Jack J. Dongarra (Int. J. Parallel Program., 2017)

Design and Implementation of the PULSAR Programming System for Large Scale Computing. - Jakub Kurzak; Piotr Luszczek; Ichitaro Yamazaki; Yves Robert; Jack J. Dongarra (Supercomput. Front. Innov., 2017)

Task based Cholesky decomposition on Xeon Phi architectures using OpenMP. - Joseph Dorris; Asim YarKhan; Jakub Kurzak; Piotr Luszczek; Jack J. Dongarra (Int. J. Comput. Sci. Eng., 2018)

Autotuning Numerical Dense Linear Algebra for Batched Computation With GPU Hardware Accelerators. - Jack J. Dongarra; Mark Gates; Jakub Kurzak; Piotr Luszczek; Yaohung M. Tsai (Proc. IEEE, 2018)

The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale. - Jack J. Dongarra; Mark Gates; Azzam Haidar; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Ichitaro Yamazaki (SIAM Rev., 2018)

Autotuning Techniques for Performance-Portable Point Set Registration in 3D. - Piotr Luszczek; Jakub Kurzak; Ichitaro Yamazaki; David J. Keffer; Vasileios Maroulas; Jack J. Dongarra (Supercomput. Front. Innov., 2018)

Increasing Accuracy of Iterative Refinement in Limited Floating-Point Arithmetic on Half-Precision Accelerators. - Piotr Luszczek; Ichitaro Yamazaki; Jack J. Dongarra (HPEC, 2019)

Software-Defined Events through PAPI. - Anthony Danalis; Heike Jagode; Thomas Hérault; Piotr Luszczek; Jack J. Dongarra (IPDPS Workshops, 2019)

PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP. - Jack J. Dongarra; Mark Gates; Azzam Haidar; Jakub Kurzak; Piotr Luszczek; Panruo Wu; Ichitaro Yamazaki; Asim YarKhan; Maksims Abalenkovs; Negin Bagherpour; Sven Hammarling; Jakub Sístek; et al. (ACM Trans. Math. Softw., 2019)

Docker container based PaaS cloud computing comprehensive benchmarks using LAPACK. - Dmitry Zaitsev 001; Piotr Luszczek (CMIS, 2020)

Scalable Data Generation for Evaluating Mixed-Precision Solvers. - Piotr Luszczek; Yaohung M. Tsai; Neil Lindquist; Hartwig Anzt; Jack J. Dongarra (HPEC, 2020)

Communication Avoiding 2D Stencil Implementations over PaRSEC Task-Based Runtime. - Yu Pei; Qinglei Cao; George Bosilca; Piotr Luszczek; Victor Eijkhout; Jack J. Dongarra (IPDPS Workshops, 2020)

Replacing Pivoting in Distributed Gaussian Elimination with Randomized Techniques. - Neil Lindquist; Piotr Luszczek; Jack J. Dongarra (ScalA@SC, 2020)

Improving the Performance of the GMRES Method Using Mixed-Precision Techniques. - Neil Lindquist; Piotr Luszczek; Jack J. Dongarra (SMC, 2020)

A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic. - Ahmad Abdelfattah; Hartwig Anzt; Erik G. Boman; Erin C. Carson; Terry Cojean; Jack J. Dongarra; Mark Gates; Thomas Grützmacher; Nicholas J. Higham; Xiaoye Sherry Li; Neil Lindquist; Yang Liu 179; et al. (CoRR, 2020)

Software for Linear Algebra Targeting Exascale (SLATE) with a Recursive Butterfly Transform based solver. - Neil Lindquist; Piotr Luszczek; Jack J. Dongarra (Zenodo, 2020)

Task-graph scheduling extensions for efficient synchronization and communication. - Seonmyeong Bak; Oscar R. Hernandez; Mark Gates; Piotr Luszczek; Vivek Sarkar (ICS, 2021)

Materials Fingerprinting Classification. - Adam Spannaus; Kody J. H. Law; Piotr Luszczek; Farzana Nasrin; Cassie Putman Micucci; Peter K. Liaw; Louis Joseph Santodonato; David J. Keffer; Vasileios Maroulas (Comput. Phys. Commun., 2021)

A survey of numerical linear algebra methods utilizing mixed-precision arithmetic. - Ahmad Abdelfattah; Hartwig Anzt; Erik G. Boman; Erin C. Carson; Terry Cojean; Jack J. Dongarra; Alyson Fox; Mark Gates; Nicholas J. Higham; Xiaoye S. Li; Jennifer A. Loe; Piotr Luszczek; et al. (Int. J. High Perform. Comput. Appl., 2021)

Translational process: Mathematical software perspective. - Jack J. Dongarra; Mark Gates; Piotr Luszczek; Stanimire Tomov (J. Comput. Sci., 2021)

A Set of Batched Basic Linear Algebra Subprograms and LAPACK Routines. - Ahmad Abdelfattah; Timothy B. Costa; Jack J. Dongarra; Mark Gates; Azzam Haidar; Sven Hammarling; Nicholas J. Higham; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Mawussi Zounon (ACM Trans. Math. Softw., 2021)

Proposed Consistent Exception Handling for the BLAS and LAPACK. - James Demmel; Jack J. Dongarra; Mark Gates; Greg Henry; Julien Langou; Xiaoye S. Li; Piotr Luszczek; Weslley S. Pereira; E. Jason Riedy; Cindy Rubio-González (Correctness@SC, 2022)

Surrogate ML/AI Model Benchmarking for FAIR Principles' Conformance. - Piotr Luszczek; Cade Brown (HPEC, 2022)

Deep Gaussian process with multitask and transfer learning for performance optimization. - Wissam M. Sid-Lakhdar; Mohsen Aznaveh; Piotr Luszczek; Jack J. Dongarra (HPEC, 2022)

High-Performance GMRES Multi-Precision Benchmark: Design, Performance, and Challenges. - Ichitaro Yamazaki; Christian Glusa; Jennifer A. Loe; Piotr Luszczek; Sivasankaran Rajamanickam; Jack J. Dongarra (PMBS@SC, 2022)

Threshold Pivoting for Dense LU Factorization. - Neil Lindquist; Mark Gates; Piotr Luszczek; Jack J. Dongarra (ScalAH@SC, 2022)

Mixed-Precision Algorithm for Finding Selected Eigenvalues and Eigenvectors of Symmetric and Hermitian Matrices1. - Yaohung M. Tsai; Piotr Luszczek; Jack J. Dongarra (ScalAH@SC, 2022)

AI Benchmarking for Science: Efforts from the MLCommons Science Working Group. - Jeyan Thiyagalingam; Gregor von Laszewski; Junqi Yin; Murali Emani; Juri Papay; Gregg Barrett; Piotr Luszczek; Aristeidis Tsaris; Christine R. Kirkpatrick; Feiyi Wang; Tom Gibbs; Venkatram Vishwanath; et al. (ISC Workshops, 2022)

Challenges of and Opportunities for a Large Diverse Software Team. - Cody J. Balos; Piotr Luszczek; Sarah Osborn 001; James M. Willenbring; Ulrike Meier Yang (Comput. Sci. Eng., 2022)

Aggregation of clans to speed-up solving linear systems on parallel architectures. - Dmitry A. Zaitsev; Tatiana R. Shmeleva; Piotr Luszczek (Int. J. Parallel Emergent Distributed Syst., 2022)

OpenMP application experiences: Porting to accelerated nodes. - Seonmyeong Bak; Colleen Bertoni; Swen Boehm; Reuben D. Budiardja; Barbara M. Chapman; Johannes Doerfert; Markus Eisenbach 002; Hal Finkel; Oscar R. Hernandez; Joseph Huber; Shintaro Iwasaki; Vivek Kale; et al. (Parallel Comput., 2022)

Accelerating Restarted GMRES With Mixed Precision Arithmetic. - Neil Lindquist; Piotr Luszczek; Jack J. Dongarra (IEEE Trans. Parallel Distributed Syst., 2022)

Software for "Threshold Pivoting for dense LU Factorization". - Neil Lindquist; Mark Gates; Piotr Luszczek; Jack J. Dongarra (Zenodo, 2022)

Software for "Threshold Pivoting in LU Factorizations". - Neil Lindquist; Piotr Luszczek; Jack J. Dongarra (Zenodo, 2022)

Towards the FAIR Asset Tracking Across Models, Datasets, and Performance Evaluation Scenarios. - Piotr Luszczek; Tokey Tahmid (HPEC, 2023)

Using Additive Modifications in LU Factorization Instead of Pivoting. - Neil Lindquist; Piotr Luszczek; Jack J. Dongarra (ICS, 2023)

PAQR: Pivoting Avoiding QR factorization. - Wissam M. Sid-Lakhdar; Sébastien Cayrols; Daniel Bielich; Ahmad Abdelfattah; Piotr Luszczek; Mark Gates; Stanimire Tomov; Hans Johansen; David B. Williams-Young; Timothy A. Davis 001; Jack J. Dongarra; Hartwig Anzt (IPDPS, 2023)

GPU-based LU Factorization and Solve on Batches of Matrices with Band Structure. - Ahmad Abdelfattah; Stanimire Tomov; Piotr Luszczek; Hartwig Anzt; Jack J. Dongarra (SC Workshops, 2023)

Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software. - Riley Murray; James Demmel; Michael W. Mahoney; N. Benjamin Erichson; Maksim Melnichenko; Osman Asif Malik; Laura Grigori; Piotr Luszczek; Michal Derezinski; Miles E. Lopes; Tianyu Liang; Hengrui Luo; et al. (CoRR, 2023)

Combining multitask and transfer learning with deep Gaussian processes for autotuning-based performance engineering. - Piotr Luszczek; Wissam M. Sid-Lakhdar; Jack J. Dongarra (Int. J. High Perform. Comput. Appl., 2023)

Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring. - Bill Bergeron; Matthew Hubbell; Daniel Mojica; Albert Reuther; William Arcand; David Bestor; Daniel Burrill; Chansup Byun; Vijay Gadepally; Michael Houle 001; Hayden Jananthan; Michael Jones 001; et al. (HPEC, 2024)

GPU Sharing with Triples Mode. - Chansup Byun; Albert Reuther; LaToya Anderson; William Arcand; Bill Bergeron; David Bestor; Alexander Bonn; Daniel Burrill; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Hayden Jananthan; et al. (HPEC, 2024)

LLload: An Easy-to-Use HPC Utilization Tool. - Chansup Byun; Albert Reuther; Julie Mullen; LaToya Anderson; William Arcand; Bill Bergeron; David Bestor; Alexander Bonn; Daniel Burrill; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; et al. (HPEC, 2024)

Anonymized Network Sensing Graph Challenge. - Hayden Jananthan; Michael Jones 001; William Arcand; David Bestor; William Bergeron; Daniel Burrill; Aydin Buluç; Chansup Byun; Timothy Davis; Vijay Gadepally; Daniel Grant; Michael Houle 001; et al. (HPEC, 2024)

What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic. - Jeremy Kepner; Hayden Jananthan; Michael Jones 001; William Arcand; David Bestor; William Bergeron; Daniel Burrill; Aydin Buluç; Chansup Byun; Timothy Davis; Vijay Gadepally; Daniel Grant; et al. (HPEC, 2024)

Towards Scalable and Efficient Spiking Reinforcement Learning for Continuous Control Tasks. - Tokey Tahmid; Mark Gates; Piotr Luszczek; Catherine D. Schuman (ICONS, 2024)

HPC with Enhanced User Separation. - Andrew Prout; Albert Reuther; Michael Houle 001; Michael Jones 001; Peter Michaleas; LaToya Anderson; William Arcand; Bill Bergeron; David Bestor; Alex Bonn; Daniel Burrill; Chansup Byun; et al. (SC Workshops, 2024)

Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring. - William Bergeron; Matthew Hubbell; Daniel Mojica; Albert Reuther; William Arcand; David Bestor; Daniel Burrill; Chansup Byun; Vijay Gadepally; Michael Houle 001; Hayden Jananthan; Michael Jones 001; et al. (CoRR, 2024)

Interface for Sparse Linear Algebra Operations. - Ahmad Abdelfattah; Willow Ahrens; Hartwig Anzt; Chris Armstrong; Ben Brock; Aydin Buluç; Federico Busato; Terry Cojean; Timothy A. Davis 001; Jim Demmel; Grace Dinh; David Gardener; et al. (CoRR, 2024)

Batched sparse and mixed-precision linear algebra interface for efficient use of GPU hardware accelerators in scientific applications. - Piotr Luszczek; Ahmad Abdelfattah; Hartwig Anzt; Atsushi Suzuki; Stanimire Tomov (Future Gener. Comput. Syst., 2024)

Numerical eigen-spectrum slicing, accurate orthogonal eigen-basis, and mixed-precision eigenvalue refinement using OpenMP data-dependent tasks and accelerator offload. - Piotr Luszczek; Anthony Castaldo; Yaohung M. Tsai; Daniel Mishler; Jack J. Dongarra (Int. J. High Perform. Comput. Appl., 2024)

Generalizing Random Butterfly Transforms to Arbitrary Matrix Sizes. - Neil Lindquist; Piotr Luszczek; Jack J. Dongarra (ACM Trans. Math. Softw., 2024)

CholeskyQR with Randomization and Pivoting for Tall Matrices (CQRRPT). - Maksim Melnichenko; Oleg Balabanov; Riley Murray; James Demmel; Michael W. Mahoney; Piotr Luszczek (SIAM J. Matrix Anal. Appl., 2025)

SpikeRL: A Scalable and Energy-efficient Framework for Deep Spiking Reinforcement Learning. - Tokey Tahmid; Mark Gates; Piotr Luszczek; Catherine D. Schuman (CoRR, 2025)

Anatomy of High-Performance Column-Pivoted QR Decomposition. - Maksim Melnichenko; Riley Murray; William Killian; James Demmel; Michael W. Mahoney; Piotr Luszczek; Mark Gates (CoRR, 2025)