Parallel scalability study of hybrid preconditioners in three dimensions. - Luc Giraud; Azzam Haidar; Layne T. Watson (Parallel Comput., 2008)

On the parallel scalability of hybrid linear solvers for large 3D problems. (Sur l'extensibilité parallèle de solveurs linéaires hybrides pour des problèmes tridimensionels de grandes tailles). - Azzam Haidar (2008)

Parallel algebraic hybrid solvers for large 3D convection-diffusion problems. - Luc Giraud; Azzam Haidar (Numer. Algorithms, 2009)

Using multiple levels of parallelism to enhance the performance of domain decomposition solvers. - Luc Giraud; Azzam Haidar; S. Pralet (Parallel Comput., 2010)

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)

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

Parallel reduction to condensed forms for symmetric eigenvalue problems using aggregated fine-grained and memory-aware kernels. - Azzam Haidar; Hatem Ltaief; Jack J. Dongarra (SC, 2011)

Analysis of dynamically scheduled tile algorithms for dense linear algebra on multicore architectures. - Azzam Haidar; Hatem Ltaief; Asim YarKhan; Jack J. Dongarra (Concurr. Comput. Pract. Exp., 2011)

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)

Abstract: A Novel Hybrid CPU-GPU Generalized Eigensolver for Electronic Structure Calculations Based on Fine Grained Memory Aware Tasks. - Raffaele Solcà; Azzam Haidar; Stanimire Tomov; Thomas C. Schulthess; Jack J. Dongarra (SC Companion, 2012)

Poster: A Novel Hybrid CPU-GPU Generalized Eigensolver for Electronic Structure Calculations Based on Fine Grained Memory Aware Tasks. - Raffaele Solcà; Azzam Haidar; Stanimire Tomov; Thomas C. Schulthess; Jack J. Dongarra (SC Companion, 2012)

A hybrid Hermitian general eigenvalue solver - Raffaele Solcà; Thomas C. Schulthess; Azzam Haidar; Stanimire Tomov; Ichitaro Yamazaki; Jack J. Dongarra (CoRR, 2012)

Toward a High Performance Tile Divide and Conquer Algorithm for the Dense Symmetric Eigenvalue Problem. - Azzam Haidar; Hatem Ltaief; Jack J. Dongarra (SIAM J. Sci. Comput., 2012)

Toward a scalable multi-GPU eigensolver via compute-intensive kernels and efficient communication. - Azzam Haidar; Mark Gates; Stanimire Tomov; Jack J. Dongarra (ICS, 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)

Leading Edge Hybrid Multi-GPU Algorithms for Generalized Eigenproblems in Electronic Structure Calculations. - Azzam Haidar; Raffaele Solcà; Mark Gates; Stanimire Tomov; Thomas C. Schulthess; Jack J. Dongarra (ISC, 2013)

Parallel algebraic domain decomposition solver for the solution of augmented systems. - Emmanuel Agullo; Luc Giraud; Abdou Guermouche; Azzam Haidar; Jean Roman (Adv. Eng. Softw., 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)

A Fast Batched Cholesky Factorization on a GPU. - Tingxing Dong; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (ICPP, 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)

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)

Accelerating Computation of Eigenvectors in the Dense Nonsymmetric Eigenvalue Problem. - Mark Gates; Azzam Haidar; Jack J. Dongarra (VECPAR, 2014)

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

A novel hybrid CPU-GPU generalized eigensolver for electronic structure calculations based on fine-grained memory aware tasks. - Azzam Haidar; Stanimire Tomov; Jack J. Dongarra; Raffaele Solcà; Thomas C. Schulthess (Int. J. High Perform. Comput. Appl., 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)

Performance Analysis and Optimisation of Two-sided Factorization Algorithms for Heterogeneous Platform. - Khairul Kabir; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (ICCS, 2015)

Divide and Conquer Symmetric Tridiagonal Eigensolver for Multicore Architectures. - Gregoire Pichon; Azzam Haidar; Mathieu Faverge; Jakub Kurzak (IPDPS, 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)

Efficient implementation of quantum materials simulations on distributed CPU-GPU systems. - Raffaele Solcà; Anton Kozhevnikov; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra; Thomas C. Schulthess (SC, 2015)

Performance analysis and design of a hessenberg reduction using stabilized blocked elementary transformations for new architectures. - Khairul Kabir; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (SpringSim (HPS), 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)

On the Design, Development, and Analysis of Optimized Matrix-Vector Multiplication Routines for Coprocessors. - Khairul Kabir; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (ISC, 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)

High-Performance Matrix-Matrix Multiplications of Very Small Matrices. - Ian Masliah; Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Marc Baboulin; Joël Falcou; Jack J. Dongarra (Euro-Par, 2016)

Performance analysis and acceleration of explicit integration for large kinetic networks using batched GPU computations. - Azzam Haidar; Benjamin Brock; Stanimire Tomov; Michael Guidry; Jay Jay Billings; Daniel Shyles; Jack J. Dongarra (HPEC, 2016)

LU, QR, and Cholesky factorizations: Programming model, performance analysis and optimization techniques for the Intel Knights Landing Xeon Phi. - Azzam Haidar; Stanimire Tomov; Konstantin Arturov; Murat Efe Guney; Shane Story; Jack J. Dongarra (HPEC, 2016)

High-Performance Tensor Contractions for GPUs. - Ahmad Abdelfattah; Marc Baboulin; Veselin Dobrev; Jack J. Dongarra; Christopher W. Earl; Joel Falcou; Azzam Haidar; Ian Karlin; Tzanio V. Kolev; Ian Masliah; Stanimire Tomov (ICCS, 2016)

Performance Tuning and Optimization Techniques of Fixed and Variable Size Batched Cholesky Factorization on GPUs. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (ICCS, 2016)

On the Development of Variable Size Batched Computation for Heterogeneous Parallel Architectures. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; 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)

Towards Achieving Performance Portability Using Directives for Accelerators. - M. Graham Lopez; Verónica G. Vergara Larrea; Wayne Joubert; Oscar R. Hernandez; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (WACCPD@SC, 2016)

Performance, Design, and Autotuning of Batched GEMM for GPUs. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (ISC, 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)

Power-aware computing: Measurement, control, and performance analysis for Intel Xeon Phi. - Azzam Haidar; Heike Jagode; Asim YarKhan; Phil Vaccaro; Stanimire Tomov; Jack J. Dongarra (HPEC, 2017)

Out of memory SVD solver for big data. - Azzam Haidar; Khairul Kabir; Diana Fayad; Stanimire Tomov; Jack J. Dongarra (HPEC, 2017)

Factorization and Inversion of a Million Matrices using GPUs: Challenges and Countermeasures. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (ICCS, 2017)

Optimizing the SVD Bidiagonalization Process for a Batch of Small Matrices. - Tingxing Dong; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (ICCS, 2017)

Novel HPC techniques to batch execution of many variable size BLAS computations on GPUs. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (ICS, 2017)

High-performance Cholesky factorization for GPU-only execution. - Azzam Haidar; Ahmad Abdelfattah; Stanimire Tomov; Jack J. Dongarra (GPGPU@PPoPP, 2017)

Investigating half precision arithmetic to accelerate dense linear system solvers. - Azzam Haidar; Panruo Wu; Stanimire Tomov; Jack J. Dongarra (ScalA@SC, 2017)

A Framework for Out of Memory SVD Algorithms. - Khairul Kabir; Azzam Haidar; Stanimire Tomov; Aurélien Bouteiller; Jack J. Dongarra (ISC, 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)

Fast Cholesky factorization on GPUs for batch and native modes in MAGMA. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (J. Comput. Sci., 2017)

Optimizing GPU Kernels for Irregular Batch Workloads: A Case Study for Cholesky Factorization. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (HPEC, 2018)

The Design of Fast and Energy-Efficient Linear Solvers: On the Potential of Half-Precision Arithmetic and Iterative Refinement Techniques. - Azzam Haidar; Ahmad Abdelfattah; Mawussi Zounon; Panruo Wu; Srikara Pranesh; Stanimire Tomov; Jack J. Dongarra (ICCS (1), 2018)

Harnessing GPU tensor cores for fast FP16 arithmetic to speed up mixed-precision iterative refinement solvers. - Azzam Haidar; Stanimire Tomov; Jack J. Dongarra; Nicholas J. Higham (SC, 2018)

Batched one-sided factorizations of tiny matrices using GPUs: Challenges and countermeasures. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (J. Comput. Sci., 2018)

Accelerating the SVD bi-diagonalization of a batch of small matrices using GPUs. - Tingxing Dong; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (J. Comput. Sci., 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)

Analysis and Design Techniques towards High-Performance and Energy-Efficient Dense Linear Solvers on GPUs. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (IEEE Trans. Parallel Distributed Syst., 2018)

A Guide for Achieving High Performance with Very Small Matrices on GPU: A Case Study of Batched LU and Cholesky Factorizations. - Azzam Haidar; Ahmad Abdelfattah; Mawussi Zounon; Stanimire Tomov; Jack J. Dongarra (IEEE Trans. Parallel Distributed Syst., 2018)

Investigating power capping toward energy-efficient scientific applications. - Azzam Haidar; Heike Jagode; Phil Vaccaro; Asim YarKhan; Stanimire Tomov; Jack J. Dongarra (Concurr. Comput. Pract. Exp., 2019)

Evaluation of directive-based performance portable programming models. - M. Graham Lopez; Wayne Joubert; Verónica G. Vergara Larrea; Oscar R. Hernandez; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (Int. J. High Perform. Comput. Netw., 2019)

Algorithms and optimization techniques for high-performance matrix-matrix multiplications of very small matrices. - Ian Masliah; Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Marc Baboulin; Joël Falcou; Jack J. Dongarra (Parallel Comput., 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)

heFFTe: Highly Efficient FFT for Exascale. - Alan Ayala; Stanimire Tomov; Azzam Haidar; Jack J. Dongarra (ICCS (1), 2020)

MAGMA templates for scalable linear algebra on emerging architectures. - Mohammed A. Al Farhan; Ahmad Abdelfattah; Stanimire Tomov; Mark Gates; Dalal Sukkari; Azzam Haidar; Robert Rosenberg; Jack J. Dongarra (Int. J. High Perform. Comput. Appl., 2020)

Accelerating Multi - Process Communication for Parallel 3-D FFT. - Alan Ayala; Stan Tomov; Miroslav Stoyanov; Azzam Haidar; Jack J. Dongarra (ExaMPI@SC, 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)

Performance Analysis of Parallel FFT on Large Multi-GPU Systems. - Alan Ayala; Stan Tomov; Miroslav Stoyanov; Azzam Haidar; Jack J. Dongarra (IPDPS Workshops, 2022)

cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science. - Harun Bayraktar; Ali Charara 003; David Clark; Saul Cohen; Timothy B. Costa; Yao-Lung L. Fang; Yang Gao; Jack Guan; John A. Gunnels; Azzam Haidar; Andreas Hehn; Markus Höhnerbach; et al. (QCE, 2023)

Hardware Trends Impacting Floating-Point Computations In Scientific Applications. - Jack J. Dongarra; John A. Gunnels; Harun Bayraktar; Azzam Haidar; Dan Ernst (CoRR, 2024)