Ahmad Abdelfattah

60 papers A* 1A 8B 1C 1Misc 3Journal 27Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Efficient Batch Solver for the Singular Value Decomposition on GPUs. CoRR Ahmad Abdelfattah, Massimiliano Fasi
2025	A	`conf`	Accelerating Homotopy Continuation with GPUs: Application to Trifocal Pose Estimation. IPDPS Chiang-Heng Chien, Ahmad Abdelfattah, Benjamin B. Kimia
2025	J	`jnl`	Analysis of Floating-Point Matrix Multiplication Computed via Integer Arithmetic. CoRR Ahmad Abdelfattah, Jack J. Dongarra, Massimiliano Fasi, Mantas Mikaitis, Françoise Tisseur
2025	J	`jnl`	Evolution of the SLATE linear algebra library. Int. J. High Perform. Comput. Appl. Mark Gates, Ahmad Abdelfattah, Kadir Akbudak, Mohammed A. Al Farhan, Rabab Alomairy, Daniel Bielich, Treece Burgess, Sébastien Cayrols, Neil Lindquist, Dalal Sukkari, Asim YarKhan
2024	J	`jnl`	Batched sparse and mixed-precision linear algebra interface for efficient use of GPU hardware accelerators in scientific applications. Future Gener. Comput. Syst. Piotr Luszczek, Ahmad Abdelfattah, Hartwig Anzt, Atsushi Suzuki, Stanimire Tomov
2024	J	`jnl`	Interface for Sparse Linear Algebra Operations. CoRR Ahmad Abdelfattah, Willow Ahrens, Hartwig Anzt, Chris Armstrong, Ben Brock, Aydin Buluç, Federico Busato, Terry Cojean, Timothy A. Davis, Jim Demmel, Grace Dinh, David Gardener, Jan Fiala, Mark Gates, Azzam Haider, Toshiyuki Imamura, Pedro Valero-Lara, José E. Moreira, Xiaoye Sherry Li, Piotr Luszczek, Max Melichenko, Jose Moeira, Yvan Mokwinski, Riley Murray, Spencer Patty, Slaven Peles, Tobias Ribizel, E. Jason Riedy, Siva Rajamanickam, Piyush Sao, Manu Shantharam, Keita Teranishi, Stan Tomov, Yu-Hsiang Tsai, Heiko K. Weichelt
2024	A	`conf`	Recovering SLAM Tracking Lost by Trifocal Pose Estimation using GPU-HC++. BMVC Chiang-Heng Chien, Ahmad Abdelfattah, Benjamin B. Kimia
2023	—	`conf`	GPU-based LU Factorization and Solve on Batches of Matrices with Band Structure. SC Workshops Ahmad Abdelfattah, Stanimire Tomov, Piotr Luszczek, Hartwig Anzt, Jack J. Dongarra
2023	A	`conf`	PAQR: Pivoting Avoiding QR factorization. IPDPS 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
2022	A	`conf`	Addressing Irregular Patterns of Matrix Computations on GPUs and Their Impact on Applications Powered by Sparse Direct Solvers. SC Ahmad Abdelfattah, Pieter Ghysels, Wajih Boukaram, Stanimire Tomov, Xiaoye Sherry Li, Jack J. Dongarra
2022	—	`conf`	Batch QR Factorization on GPUs: Design, Optimization, and Tuning. ICCS (1) Ahmad Abdelfattah, Stan Tomov, Jack J. Dongarra
2022	A*	`conf`	GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision. CVPR Chiang-Heng Chien, Hongyi Fan, Ahmad Abdelfattah, Elias P. Tsigaridas, Stanimire Tomov, Benjamin B. Kimia
2022	—	`conf`	Portable and Efficient Dense Linear Algebra in the Beginning of the Exascale Era. P3HPC@SC Mark Gates, Asim YarKhan, Dalal Sukkari, Kadir Akbudak, Sébastien Cayrols, Daniel Bielich, Ahmad Abdelfattah, Mohammed A. Al Farhan, Jack J. Dongarra
2021	J	`jnl`	A Set of Batched Basic Linear Algebra Subprograms and LAPACK Routines. ACM Trans. Math. Softw. 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
2021	J	`jnl`	A survey of numerical linear algebra methods utilizing mixed-precision arithmetic. Int. J. High Perform. Comput. Appl. Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman, Erin 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
2021	J	`jnl`	Efficient Exascale Discretizations: High-Order Finite Element Methods. CoRR 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
2021	J	`jnl`	Efficient exascale discretizations: High-order finite element methods. Int. J. High Perform. Comput. Appl. 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
2021	J	`jnl`	GPU Algorithms for Efficient Exascale Discretizations. CoRR 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
2021	J	`jnl`	GPU algorithms for Efficient Exascale Discretizations. Parallel Comput. 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
2021	J	`jnl`	GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision. CoRR Chiang-Heng Chien, Hongyi Fan, Ahmad Abdelfattah, Elias P. Tsigaridas, Stanimire Tomov, Benjamin B. Kimia
2021	J	`jnl`	libCEED: Fast algebra for high-order element-based discretizations. J. Open Source Softw. 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, Jeremy L. Thompson, Stan Tomov
2020	J	`jnl`	A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic. CoRR Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman, Erin 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
2020	—	`conf`	Design, Optimization, and Benchmarking of Dense Linear Algebra Algorithms on AMD GPUs. HPEC Cade Brown, Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
2020	—	`conf`	Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse and Batched Computations. PMBS@SC Hartwig Anzt, Yuhsiang M. Tsai, Ahmad Abdelfattah, Terry Cojean, Jack J. Dongarra
2020	—	`conf`	High-Order Finite Element Method using Standard and Device-Level Batch GEMM on GPUs. ScalA@SC Natalie Beams, Ahmad Abdelfattah, Stan Tomov, Jack J. Dongarra, Tzanio V. Kolev, Yohann Dudouit
2020	—	`conf`	Investigating the Benefit of FP16-Enabled Mixed-Precision Solvers for Symmetric Positive Definite Matrices Using GPUs. ICCS (2) Ahmad Abdelfattah, Stan Tomov, Jack J. Dongarra
2020	J	`jnl`	MAGMA templates for scalable linear algebra on emerging architectures. Int. J. High Perform. Comput. Appl. Mohammed A. Al Farhan, Ahmad Abdelfattah, Stanimire Tomov, Mark Gates, Dalal Sukkari, Azzam Haidar, Robert Rosenberg, Jack J. Dongarra
2020	J	`jnl`	Matrix multiplication on batches of small matrices in half and half-complex precisions. J. Parallel Distributed Comput. Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
2019	J	`jnl`	Algorithms and optimization techniques for high-performance matrix-matrix multiplications of very small matrices. Parallel Comput. Ian Masliah, Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Marc Baboulin, Joël Falcou, Jack J. Dongarra
2019	A	`conf`	Fast Batched Matrix Multiplication for Small Sizes Using Half-Precision Arithmetic on GPUs. IPDPS Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
2019	B	`conf`	Massively Parallel Automated Software Tuning. ICPP Jakub Kurzak, Yaohung M. Tsai, Mark Gates, Ahmad Abdelfattah, Jack J. Dongarra
2019	—	`conf`	Progressive Optimization of Batched LU Factorization on GPUs. HPEC Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
2019	—	`conf`	Towards Half-Precision Computation for Complex Matrices: A Case Study for Mixed Precision Solvers on GPUs. ScalA@SC Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
2018	J	`jnl`	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. Azzam Haidar, Ahmad Abdelfattah, Mawussi Zounon, Stanimire Tomov, Jack J. Dongarra
2018	J	`jnl`	Analysis and Design Techniques towards High-Performance and Energy-Efficient Dense Linear Solvers on GPUs. IEEE Trans. Parallel Distributed Syst. Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
2018	J	`jnl`	Batched one-sided factorizations of tiny matrices using GPUs: Challenges and countermeasures. J. Comput. Sci. Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
2018	—	`conf`	Optimizing GPU Kernels for Irregular Batch Workloads: A Case Study for Cholesky Factorization. HPEC Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
2018	A	`conf`	Performance of Hierarchical-matrix BiCGStab Solver on GPU Clusters. IPDPS Ichitaro Yamazaki, Ahmad Abdelfattah, Akihiro Ida, Satoshi Ohshima, Stanimire Tomov, Rio Yokota, Jack J. Dongarra
2018	—	`conf`	The Design of Fast and Energy-Efficient Linear Solvers: On the Potential of Half-Precision Arithmetic and Iterative Refinement Techniques. ICCS (1) Azzam Haidar, Ahmad Abdelfattah, Mawussi Zounon, Panruo Wu, Srikara Pranesh, Stanimire Tomov, Jack J. Dongarra
2017	Misc	`conf`	Factorization and Inversion of a Million Matrices using GPUs: Challenges and Countermeasures. ICCS Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
2017	J	`jnl`	Fast Cholesky factorization on GPUs for batch and native modes in MAGMA. J. Comput. Sci. Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
2017	—	`conf`	High-performance Cholesky factorization for GPU-only execution. GPGPU@PPoPP Azzam Haidar, Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
2017	A	`conf`	Novel HPC techniques to batch execution of many variable size BLAS computations on GPUs. ICS Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
2017	J	`jnl`	With Extreme Computing, the Rules Have Changed. Comput. Sci. Eng. Jack J. Dongarra, Stanimire Tomov, Piotr Luszczek, Jakub Kurzak, Mark Gates, Ichitaro Yamazaki, Hartwig Anzt, Azzam Haidar, Ahmad Abdelfattah
2016	—	`conf`	High-Performance Matrix-Matrix Multiplications of Very Small Matrices. Euro-Par Ian Masliah, Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Marc Baboulin, Joël Falcou, Jack J. Dongarra
2016	Misc	`conf`	High-Performance Tensor Contractions for GPUs. ICCS 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
2016	J	`jnl`	KBLAS: An Optimized Library for Dense Matrix-Vector Multiplication on GPU Accelerators. ACM Trans. Math. Softw. Ahmad Abdelfattah, David E. Keyes, Hatem Ltaief
2016	J	`jnl`	Linear algebra software for large-scale accelerated multicore computing. Acta Numer. Ahmad Abdelfattah, Hartwig Anzt, Jack J. Dongarra, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Ichitaro Yamazaki, Asim YarKhan
2016	—	`conf`	On the Development of Variable Size Batched Computation for Heterogeneous Parallel Architectures. IPDPS Workshops Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
2016	Misc	`conf`	Performance Tuning and Optimization Techniques of Fixed and Variable Size Batched Cholesky Factorization on GPUs. ICCS Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
2016	J	`jnl`	Performance optimization of Sparse Matrix-Vector Multiplication for multi-component PDE-based applications using GPUs. Concurr. Comput. Pract. Exp. Ahmad Abdelfattah, Hatem Ltaief, David E. Keyes, Jack J. Dongarra
2016	C	`conf`	Performance, Design, and Autotuning of Batched GEMM for GPUs. ISC Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
2015	—	`—`	Accelerating Scientific Applications using High Performance Dense and Sparse Linear Algebra Kernels on GPUs. Ahmad Abdelfattah
2015	—	`conf`	High Performance Multi-GPU SpMV for Multi-component PDE-Based Applications. Euro-Par Ahmad Abdelfattah, Hatem Ltaief, David E. Keyes
2015	J	`jnl`	Parallel Programming Models for Dense Linear Algebra on Heterogeneous Systems. Supercomput. Front. Innov. Jack J. Dongarra, Maksims Abalenkovs, Ahmad Abdelfattah, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Ichitaro Yamazaki, Asim YarKhan
2014	—	`conf`	High Performance Pseudo-analytical Simulation of Multi-Object Adaptive Optics over Multi-GPU Systems. Euro-Par Ahmad Abdelfattah, Eric Gendron, Damien Gratadour, David E. Keyes, Hatem Ltaief, Arnaud Sevin, Fabrice Vidal
2014	J	`jnl`	KBLAS: An Optimized Library for Dense Matrix-Vector Multiplication on GPU Accelerators. CoRR Ahmad Abdelfattah, David E. Keyes, Hatem Ltaief
2014	A	`conf`	Pipelining Computational Stages of the Tomographic Reconstructor for Multi-Object Adaptive Optics on a Multi-GPU System. SC Ali Charara, Hatem Ltaief, Damien Gratadour, David E. Keyes, Arnaud Sevin, Ahmad Abdelfattah, Eric Gendron, Carine Morel, Fabrice Vidal
2012	—	`conf`	Optimizing Memory-Bound SYMV Kernel on GPU Hardware Accelerators. VECPAR Ahmad Abdelfattah, Jack J. Dongarra, David E. Keyes, Hatem Ltaief
2012	—	`conf`	Systematic Approach in Optimizing Numerical Memory-Bound Kernels on GPU. Euro-Par Workshops Ahmad Abdelfattah, David E. Keyes, Hatem Ltaief