Ahmad Abdelfattah

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 46

Top Topics

Matrix Multiplication

Top Venues

Int. J. High Perform. Comput. Appl.

Publications

Piotr Luszczek, Ahmad Abdelfattah, Hartwig Anzt, Atsushi Suzuki, Stanimire Tomov
Batched sparse and mixed-precision linear algebra interface for efficient use of GPU hardware accelerators in scientific applications. Future Gener. Comput. Syst. 160 (2024)
Ahmad Abdelfattah, Stanimire Tomov, Piotr Luszczek, Hartwig Anzt, Jack J. Dongarra
GPU-based LU Factorization and Solve on Batches of Matrices with Band Structure. SC Workshops (2023)
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, Jack J. Dongarra, Hartwig Anzt
PAQR: Pivoting Avoiding QR factorization. IPDPS (2023)
Chiang-Heng Chien, Hongyi Fan, Ahmad Abdelfattah, Elias P. Tsigaridas, Stanimire Tomov, Benjamin B. Kimia
GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision. CVPR (2022)
Mark Gates, Asim YarKhan, Dalal Sukkari, Kadir Akbudak, Sébastien Cayrols, Daniel Bielich, Ahmad Abdelfattah, Mohammed A. Al Farhan, Jack J. Dongarra
Portable and Efficient Dense Linear Algebra in the Beginning of the Exascale Era. P3HPC@SC (2022)
Ahmad Abdelfattah, Stan Tomov, Jack J. Dongarra
Batch QR Factorization on GPUs: Design, Optimization, and Tuning. ICCS (1) (2022)
Ahmad Abdelfattah, Pieter Ghysels, Wajih Boukaram, Stanimire Tomov, Xiaoye Sherry Li, Jack J. Dongarra
Addressing Irregular Patterns of Matrix Computations on GPUs and Their Impact on Applications Powered by Sparse Direct Solvers. SC (2022)
Tzanio V. Kolev, Paul Fischer, Misun Min, Jack J. Dongarra, Jed Brown, Veselin Dobrev, Tim Warburton, Stanimire Tomov, Mark S. Shephard, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean-Sylvain Camier, Noel Chalmers, Yohann Dudouit, Ali Karakus, Ian Karlin, Stefan Kerkemeier, Yu-Hsiang Lan, David Medina, Elia Merzari, Aleksandr Obabko, Will Pazner, Thilina Rathnayake, Cameron W. Smith, Lukas Spies, Kasia Swirydowicz, Jeremy L. Thompson, Ananias Tomboulides, Vladimir Z. Tomov
Efficient Exascale Discretizations: High-Order Finite Element Methods. CoRR (2021)
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, Srikara Pranesh, Siva Rajamanickam, Tobias Ribizel, Barry F. Smith, Kasia Swirydowicz, Stephen J. Thomas, Stanimire Tomov, Yaohung M. Tsai, Ulrike Meier Yang
A survey of numerical linear algebra methods utilizing mixed-precision arithmetic. Int. J. High Perform. Comput. Appl. 35 (4) (2021)
Chiang-Heng Chien, Hongyi Fan, Ahmad Abdelfattah, Elias P. Tsigaridas, Stanimire Tomov, Benjamin B. Kimia
GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision. CoRR (2021)
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, Jean-Sylvain Camier, Noel Chalmers, Yohann Dudouit, Ali Karakus, Ian Karlin, Stefan Kerkemeier, Yu-Hsiang Lan, David S. Medina, Elia Merzari, Aleksandr Obabko, Will Pazner, Thilina Rathnayake, Cameron W. Smith, Lukas Spies, Kasia Swirydowicz, Jeremy L. Thompson, Ananias Tomboulides, Vladimir Z. Tomov
Efficient exascale discretizations: High-order finite element methods. Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Jed Brown, Ahmad Abdelfattah, Valeria Barra, Natalie N. Beams, Jean-Sylvain Camier, Veselin Dobrev, Yohann Dudouit, Leila Ghaffari, Tzanio V. Kolev, David Medina, Will Pazner, Thilina Ratnayaka, Jeremy L. Thompson, Stan Tomov
libCEED: Fast algebra for high-order element-based discretizations. J. Open Source Softw. 6 (63) (2021)
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
A Set of Batched Basic Linear Algebra Subprograms and LAPACK Routines. ACM Trans. Math. Softw. 47 (3) (2021)
Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Ryan Bleile, Jed Brown, Jean-Sylvain Camier, Robert Carson, Noel Chalmers, Veselin Dobrev, Yohann Dudouit, Paul Fischer, Ali Karakus, Stefan Kerkemeier, Tzanio V. Kolev, Yu-Hsiang Lan, Elia Merzari, Misun Min, Malachi Phillips, Thilina Rathnayake, Robert N. Rieben, Thomas Stitt, Ananias Tomboulides, Stanimire Tomov, Vladimir Z. Tomov, Arturo Vargas, Tim Warburton, Kenneth Weiss
GPU Algorithms for Efficient Exascale Discretizations. CoRR (2021)
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, Stefan Kerkemeier, Tzanio V. Kolev, Yu-Hsiang Lan, Elia Merzari, Misun Min, Malachi Phillips, Thilina Rathnayake, Robert N. Rieben, Thomas Stitt, Ananias Tomboulides, Stanimire Tomov, Vladimir Z. Tomov, Arturo Vargas, Tim Warburton, Kenneth Weiss
GPU algorithms for Efficient Exascale Discretizations. Parallel Comput. 108 (2021)
Ahmad Abdelfattah, Stan Tomov, Jack J. Dongarra
Investigating the Benefit of FP16-Enabled Mixed-Precision Solvers for Symmetric Positive Definite Matrices Using GPUs. ICCS (2) (2020)
Natalie Beams, Ahmad Abdelfattah, Stan Tomov, Jack J. Dongarra, Tzanio V. Kolev, Yohann Dudouit
High-Order Finite Element Method using Standard and Device-Level Batch GEMM on GPUs. ScalA@SC (2020)
Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
Matrix multiplication on batches of small matrices in half and half-complex precisions. J. Parallel Distributed Comput. 145 (2020)
Cade Brown, Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
Design, Optimization, and Benchmarking of Dense Linear Algebra Algorithms on AMD GPUs. HPEC (2020)
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, Jennifer A. Loe, Piotr Luszczek, Pratik Nayak, Srikara Pranesh, Sivasankaran Rajamanickam, Tobias Ribizel, Barry Smith, Kasia Swirydowicz, Stephen J. Thomas, Stanimire Tomov, Yaohung M. Tsai, Ichitaro Yamazaki, Ulrike Meier Yang
A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic. CoRR (2020)
Mohammed A. Al Farhan, Ahmad Abdelfattah, Stanimire Tomov, Mark Gates, Dalal Sukkari, Azzam Haidar, Robert Rosenberg, Jack J. Dongarra
MAGMA templates for scalable linear algebra on emerging architectures. Int. J. High Perform. Comput. Appl. 34 (6) (2020)
Hartwig Anzt, Yuhsiang M. Tsai, Ahmad Abdelfattah, Terry Cojean, Jack J. Dongarra
Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse and Batched Computations. PMBS@SC (2020)
Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
Fast Batched Matrix Multiplication for Small Sizes Using Half-Precision Arithmetic on GPUs. IPDPS (2019)
Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
Towards Half-Precision Computation for Complex Matrices: A Case Study for Mixed Precision Solvers on GPUs. ScalA@SC (2019)
Jakub Kurzak, Yaohung M. Tsai, Mark Gates, Ahmad Abdelfattah, Jack J. Dongarra
Massively Parallel Automated Software Tuning. ICPP (2019)
Ian Masliah, Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Marc Baboulin, Joël Falcou, Jack J. Dongarra
Algorithms and optimization techniques for high-performance matrix-matrix multiplications of very small matrices. Parallel Comput. 81 (2019)
Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
Progressive Optimization of Batched LU Factorization on GPUs. HPEC (2019)
Azzam Haidar, Ahmad Abdelfattah, Mawussi Zounon, Stanimire Tomov, Jack J. Dongarra
A Guide for Achieving High Performance with Very Small Matrices on GPU: A Case Study of Batched LU and Cholesky Factorizations. IEEE Trans. Parallel Distributed Syst. 29 (5) (2018)
Azzam Haidar, Ahmad Abdelfattah, Mawussi Zounon, Panruo Wu, Srikara Pranesh, Stanimire Tomov, Jack J. Dongarra
The Design of Fast and Energy-Efficient Linear Solvers: On the Potential of Half-Precision Arithmetic and Iterative Refinement Techniques. ICCS (1) (2018)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Batched one-sided factorizations of tiny matrices using GPUs: Challenges and countermeasures. J. Comput. Sci. 26 (2018)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Analysis and Design Techniques towards High-Performance and Energy-Efficient Dense Linear Solvers on GPUs. IEEE Trans. Parallel Distributed Syst. 29 (12) (2018)
Ichitaro Yamazaki, Ahmad Abdelfattah, Akihiro Ida, Satoshi Ohshima, Stanimire Tomov, Rio Yokota, Jack J. Dongarra
Performance of Hierarchical-matrix BiCGStab Solver on GPU Clusters. IPDPS (2018)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Optimizing GPU Kernels for Irregular Batch Workloads: A Case Study for Cholesky Factorization. HPEC (2018)
Azzam Haidar, Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
High-performance Cholesky factorization for GPU-only execution. GPGPU@PPoPP (2017)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Fast Cholesky factorization on GPUs for batch and native modes in MAGMA. J. Comput. Sci. 20 (2017)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Novel HPC techniques to batch execution of many variable size BLAS computations on GPUs. ICS (2017)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Factorization and Inversion of a Million Matrices using GPUs: Challenges and Countermeasures. ICCS (2017)
Jack J. Dongarra, Stanimire Tomov, Piotr Luszczek, Jakub Kurzak, Mark Gates, Ichitaro Yamazaki, Hartwig Anzt, Azzam Haidar, Ahmad Abdelfattah
With Extreme Computing, the Rules Have Changed. Comput. Sci. Eng. 19 (3) (2017)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Performance, Design, and Autotuning of Batched GEMM for GPUs. ISC (2016)
Ahmad Abdelfattah, Hatem Ltaief, David E. Keyes, Jack J. Dongarra
Performance optimization of Sparse Matrix-Vector Multiplication for multi-component PDE-based applications using GPUs. Concurr. Comput. Pract. Exp. 28 (12) (2016)
Ahmad Abdelfattah, David E. Keyes, Hatem Ltaief
KBLAS: An Optimized Library for Dense Matrix-Vector Multiplication on GPU Accelerators. ACM Trans. Math. Softw. 42 (3) (2016)
Ahmad Abdelfattah, Hartwig Anzt, Jack J. Dongarra, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Ichitaro Yamazaki, Asim YarKhan
Linear algebra software for large-scale accelerated multicore computing. Acta Numer. 25 (2016)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Performance Tuning and Optimization Techniques of Fixed and Variable Size Batched Cholesky Factorization on GPUs. ICCS (2016)
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
High-Performance Tensor Contractions for GPUs. ICCS (2016)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
On the Development of Variable Size Batched Computation for Heterogeneous Parallel Architectures. IPDPS Workshops (2016)
Ian Masliah, Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Marc Baboulin, Joël Falcou, Jack J. Dongarra
High-Performance Matrix-Matrix Multiplications of Very Small Matrices. Euro-Par (2016)
Jack J. Dongarra, Maksims Abalenkovs, Ahmad Abdelfattah, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Ichitaro Yamazaki, Asim YarKhan
Parallel Programming Models for Dense Linear Algebra on Heterogeneous Systems. Supercomput. Front. Innov. 2 (4) (2015)
Ahmad Abdelfattah, Hatem Ltaief, David E. Keyes
High Performance Multi-GPU SpMV for Multi-component PDE-Based Applications. Euro-Par (2015)
Ahmad Abdelfattah, David E. Keyes, Hatem Ltaief
KBLAS: An Optimized Library for Dense Matrix-Vector Multiplication on GPU Accelerators. CoRR (2014)
Ali Charara, Hatem Ltaief, Damien Gratadour, David E. Keyes, Arnaud Sevin, Ahmad Abdelfattah, Eric Gendron, Carine Morel, Fabrice Vidal
Pipelining Computational Stages of the Tomographic Reconstructor for Multi-Object Adaptive Optics on a Multi-GPU System. SC (2014)
Ahmad Abdelfattah, Eric Gendron, Damien Gratadour, David E. Keyes, Hatem Ltaief, Arnaud Sevin, Fabrice Vidal
High Performance Pseudo-analytical Simulation of Multi-Object Adaptive Optics over Multi-GPU Systems. Euro-Par (2014)
Ahmad Abdelfattah, Jack J. Dongarra, David E. Keyes, Hatem Ltaief
Optimizing Memory-Bound SYMV Kernel on GPU Hardware Accelerators. VECPAR (2012)
Ahmad Abdelfattah, David E. Keyes, Hatem Ltaief
Systematic Approach in Optimizing Numerical Memory-Bound Kernels on GPU. Euro-Par Workshops (2012)