Systematic Approach in Optimizing Numerical Memory-Bound Kernels on GPU. - Ahmad Abdelfattah; David E. Keyes; Hatem Ltaief (Euro-Par Workshops, 2012)

Optimizing Memory-Bound SYMV Kernel on GPU Hardware Accelerators. - Ahmad Abdelfattah; Jack J. Dongarra; David E. Keyes; Hatem Ltaief (VECPAR, 2012)

High Performance Pseudo-analytical Simulation of Multi-Object Adaptive Optics over Multi-GPU Systems. - Ahmad Abdelfattah; Eric Gendron; Damien Gratadour; David E. Keyes; Hatem Ltaief; Arnaud Sevin; Fabrice Vidal (Euro-Par, 2014)

Pipelining Computational Stages of the Tomographic Reconstructor for Multi-Object Adaptive Optics on a Multi-GPU System. - Ali Charara 001; Hatem Ltaief; Damien Gratadour; David E. Keyes; Arnaud Sevin; Ahmad Abdelfattah; Eric Gendron; Carine Morel; Fabrice Vidal (SC, 2014)

High Performance Multi-GPU SpMV for Multi-component PDE-Based Applications. - Ahmad Abdelfattah; Hatem Ltaief; David E. Keyes (Euro-Par, 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)

Accelerating Scientific Applications using High Performance Dense and Sparse Linear Algebra Kernels on GPUs. - Ahmad Abdelfattah (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)

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)

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)

Performance optimization of Sparse Matrix-Vector Multiplication for multi-component PDE-based applications using GPUs. - Ahmad Abdelfattah; Hatem Ltaief; David E. Keyes; Jack J. Dongarra (Concurr. Comput. Pract. Exp., 2016)

KBLAS: An Optimized Library for Dense Matrix-Vector Multiplication on GPU Accelerators. - Ahmad Abdelfattah; David E. Keyes; Hatem Ltaief (ACM Trans. Math. Softw., 2016)

Factorization and Inversion of a Million Matrices using GPUs: Challenges and Countermeasures. - Ahmad Abdelfattah; 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)

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)

Performance of Hierarchical-matrix BiCGStab Solver on GPU Clusters. - Ichitaro Yamazaki; Ahmad Abdelfattah; Akihiro Ida; Satoshi Ohshima; Stanimire Tomov; Rio Yokota; Jack J. Dongarra (IPDPS, 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)

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)

Progressive Optimization of Batched LU Factorization on GPUs. - Ahmad Abdelfattah; Stanimire Tomov; Jack J. Dongarra (HPEC, 2019)

Massively Parallel Automated Software Tuning. - Jakub Kurzak; Yaohung M. Tsai; Mark Gates; Ahmad Abdelfattah; Jack J. Dongarra (ICPP, 2019)

Fast Batched Matrix Multiplication for Small Sizes Using Half-Precision Arithmetic on GPUs. - Ahmad Abdelfattah; Stanimire Tomov; Jack J. Dongarra (IPDPS, 2019)

Towards Half-Precision Computation for Complex Matrices: A Case Study for Mixed Precision Solvers on GPUs. - Ahmad Abdelfattah; Stanimire Tomov; Jack J. Dongarra (ScalA@SC, 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)

Design, Optimization, and Benchmarking of Dense Linear Algebra Algorithms on AMD GPUs. - Cade Brown; Ahmad Abdelfattah; Stanimire Tomov; Jack J. Dongarra (HPEC, 2020)

Investigating the Benefit of FP16-Enabled Mixed-Precision Solvers for Symmetric Positive Definite Matrices Using GPUs. - Ahmad Abdelfattah; Stan Tomov; Jack J. Dongarra (ICCS (2), 2020)

Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse and Batched Computations. - Hartwig Anzt; Yuhsiang M. Tsai; Ahmad Abdelfattah; Terry Cojean; Jack J. Dongarra (PMBS@SC, 2020)

High-Order Finite Element Method using Standard and Device-Level Batch GEMM on GPUs. - Natalie Beams; Ahmad Abdelfattah; Stan Tomov; Jack J. Dongarra; Tzanio V. Kolev; Yohann Dudouit (ScalA@SC, 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)

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)

Matrix multiplication on batches of small matrices in half and half-complex precisions. - Ahmad Abdelfattah; Stanimire Tomov; Jack J. Dongarra (J. Parallel Distributed Comput., 2020)

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)

Efficient exascale discretizations: High-order finite element methods. - Tzanio V. Kolev; Paul F. Fischer; Misun Min; Jack J. Dongarra; Jed Brown; Veselin Dobrev; Tim Warburton; Stanimire Tomov; Mark S. Shephard; Ahmad Abdelfattah; Valeria Barra; Natalie Beams; et al. (Int. J. High Perform. Comput. Appl., 2021)

libCEED: Fast algebra for high-order element-based discretizations. - Jed Brown; Ahmad Abdelfattah; Valeria Barra; Natalie N. Beams; Jean-Sylvain Camier; Veselin Dobrev; Yohann Dudouit; Leila Ghaffari; Tzanio V. Kolev; David S. Medina; Will Pazner; Thilina Rathnayake; et al. (J. Open Source Softw., 2021)

GPU algorithms for Efficient Exascale Discretizations. - Ahmad Abdelfattah; Valeria Barra; Natalie Beams; Ryan Bleile; Jed Brown; Jean-Sylvain Camier; Robert Carson; Noel Chalmers; Veselin Dobrev; Yohann Dudouit; Paul F. Fischer; Ali Karakus; et al. (Parallel Comput., 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)

CEED/libCEED: v0.9.0. - Jed Brown; Ahmad Abdelfattah; Valeria Barra; Natalie Beams; Jean-Sylvain Camier; Veselin Dobrev; Yohann Dudouit; Leila Ghaffari; Tzanio V. Kolev; David S. Medina; Will Pazner; Thilina Ratnayaka; et al. (Zenodo, 2021)

libCEED: Efficient Extensible Discretization. - Jed Brown; Ahmad Abdelfattah; Valeria Barra; Natalie Beams; Jean-Sylvain Camier; Veselin Dobrev; Yohann Dudouit; Leila Ghaffari; Tzanio V. Kolev; David S. Medina; Will Pazner; Thilina Ratnayaka; et al. (Zenodo, 2021)

libCEED: Efficient Extensible Discretization. - Jed Brown; Ahmad Abdelfattah; Valeria Barra; Natalie Beams; Jean-Sylvain Camier; Veselin Dobrev; Yohann Dudouit; Leila Ghaffari; Tzanio V. Kolev; David S. Medina; Will Pazner; Thilina Ratnayaka; et al. (Zenodo, 2021)

GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision. - Chiang-Heng Chien; Hongyi Fan; Ahmad Abdelfattah; Elias P. Tsigaridas; Stanimire Tomov; Benjamin B. Kimia (CVPR, 2022)

Batch QR Factorization on GPUs: Design, Optimization, and Tuning. - Ahmad Abdelfattah; Stan Tomov; Jack J. Dongarra (ICCS (1), 2022)

Portable and Efficient Dense Linear Algebra in the Beginning of the Exascale Era. - Mark Gates; Asim YarKhan; Dalal Sukkari; Kadir Akbudak; Sébastien Cayrols; Daniel Bielich; Ahmad Abdelfattah; Mohammed A. Al Farhan; Jack J. Dongarra (P3HPC@SC, 2022)

Addressing Irregular Patterns of Matrix Computations on GPUs and Their Impact on Applications Powered by Sparse Direct Solvers. - Ahmad Abdelfattah; Pieter Ghysels; Wajih Boukaram; Stanimire Tomov; Xiaoye Sherry Li; Jack J. Dongarra (SC, 2022)

Reproducability Artifact for Running SLATE's GEMM and POTRF Operations on Summit and Crusher. - Mark Gates; Asim YarKhan; Dalal Sukkari; Kadir Akbudak; Sébastien Cayrols; Daniel Bielich; Ahmad Abdelfattah; Mohammed A. Al Farhan; Jack J. Dongarra (Zenodo, 2022)

libCEED: Efficient Extensible Discretization. - Jed Brown; Ahmad Abdelfattah; Valeria Barra; Natalie Beams; Jean-Sylvain Camier; Veselin Dobrev; Yohann Dudouit; Leila Ghaffari; Tzanio V. Kolev; David S. Medina; Will Pazner; Thilina Ratnayaka; et al. (Zenodo, 2022)

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)

libCEED: Efficient Extensible Discretization. - Jed Brown; Ahmad Abdelfattah; Valeria Barra; Natalie Beams; Jean-Sylvain Camier; Veselin Dobrev; Yohann Dudouit; Leila Ghaffari; Tzanio V. Kolev; David S. Medina; Will Pazner; Thilina Ratnayaka; et al. (Zenodo, 2023)

Recovering SLAM Tracking Lost by Trifocal Pose Estimation using GPU-HC++. - Chiang-Heng Chien; Ahmad Abdelfattah; Benjamin B. Kimia (BMVC, 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)

Accelerating Homotopy Continuation with GPUs: Application to Trifocal Pose Estimation. - Chiang-Heng Chien; Ahmad Abdelfattah; Benjamin B. Kimia (IPDPS, 2025)

Evolution of the SLATE linear algebra library. - Mark Gates; Ahmad Abdelfattah; Kadir Akbudak; Mohammed A. Al Farhan; Rabab Alomairy; Daniel Bielich; Treece Burgess; Sébastien Cayrols; Neil Lindquist; Dalal Sukkari; Asim YarKhan (Int. J. High Perform. Comput. Appl., 2025)

Analysis of Floating-Point Matrix Multiplication Computed via Integer Arithmetic. - Ahmad Abdelfattah; Jack J. Dongarra; Massimiliano Fasi; Mantas Mikaitis; Françoise Tisseur (CoRR, 2025)