Artículos con órdenes de acceso público - Ahmad AbdelfattahMás información
Disponibles en algún lugar: 52
A survey of numerical linear algebra methods utilizing mixed-precision arithmetic
A Abdelfattah, H Anzt, EG Boman, E Carson, T Cojean, J Dongarra, A Fox, ...
The International Journal of High Performance Computing Applications 35 (4 …, 2021
Órdenes: US Department of Energy
Performance, design, and autotuning of batched GEMM for GPUs
A Abdelfattah, A Haidar, S Tomov, J Dongarra
High Performance Computing: 31st International Conference, ISC High …, 2016
Órdenes: US National Science Foundation, US Department of Energy
High-performance tensor contractions for GPUs
A Abdelfattah, M Baboulin, V Dobrev, J Dongarra, C Earl, J Falcou, ...
Procedia Computer Science 80, 108-118, 2016
Órdenes: US National Science Foundation, US Department of Energy
High-performance matrix-matrix multiplications of very small matrices
I Masliah, A Abdelfattah, A Haidar, S Tomov, M Baboulin, J Falcou, ...
Euro-Par 2016: Parallel Processing: 22nd International Conference on …, 2016
Órdenes: US National Science Foundation, US Department of Energy
Efficient exascale discretizations: High-order finite element methods
T Kolev, P Fischer, M Min, J Dongarra, J Brown, V Dobrev, T Warburton, ...
The International Journal of High Performance Computing Applications 35 (6 …, 2021
Órdenes: US Department of Energy
The design of fast and energy-efficient linear solvers: On the potential of half-precision arithmetic and iterative refinement techniques
A Haidar, A Abdelfattah, M Zounon, P Wu, S Pranesh, S Tomov, ...
International conference on computational science, 586-600, 2018
Órdenes: US National Science Foundation, US Department of Energy
Fast batched matrix multiplication for small sizes using half-precision arithmetic on GPUs
A Abdelfattah, S Tomov, J Dongarra
2019 IEEE international parallel and distributed processing symposium (IPDPS …, 2019
Órdenes: US National Science Foundation, US Department of Energy
With extreme computing, the rules have changed
J Dongarra, S Tomov, P Luszczek, J Kurzak, M Gates, I Yamazaki, H Anzt, ...
Computing in Science & Engineering 19 (3), 52-62, 2017
Órdenes: US National Science Foundation, US Department of Energy
GPU algorithms for efficient exascale discretizations
A Abdelfattah, V Barra, N Beams, R Bleile, J Brown, JS Camier, R Carson, ...
Parallel Computing 108, 102841, 2021
Órdenes: US Department of Energy
Design, optimization, and benchmarking of dense linear algebra algorithms on AMD GPUs
C Brown, A Abdelfattah, S Tomov, J Dongarra
2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2020
Órdenes: US Department of Energy
A set of batched basic linear algebra subprograms and LAPACK routines
A Abdelfattah, T Costa, J Dongarra, M Gates, A Haidar, S Hammarling, ...
ACM Transactions on Mathematical Software (TOMS) 47 (3), 1-23, 2021
Órdenes: US National Science Foundation, US Department of Energy, European Commission
A guide for achieving high performance with very small matrices on GPU: a case study of batched LU and Cholesky factorizations
A Haidar, A Abdelfattah, M Zounon, S Tomov, J Dongarra
IEEE Transactions on Parallel and Distributed Systems 29 (5), 973-984, 2017
Órdenes: US National Science Foundation, US Department of Energy
Novel HPC techniques to batch execution of many variable size BLAS computations on GPUs
A Abdelfattah, A Haidar, S Tomov, J Dongarra
Proceedings of the International Conference on Supercomputing, 1-10, 2017
Órdenes: US National Science Foundation, US Department of Energy
Algorithms and optimization techniques for high-performance matrix-matrix multiplications of very small matrices
I Masliah, A Abdelfattah, A Haidar, S Tomov, M Baboulin, J Falcou, ...
Parallel Computing 81, 1-21, 2019
Órdenes: US National Science Foundation, US Department of Energy
Fast Cholesky factorization on GPUs for batch and native modes in MAGMA
A Abdelfattah, A Haidar, S Tomov, J Dongarra
Journal of Computational Science 20, 85-93, 2017
Órdenes: US National Science Foundation
Evaluating the performance of NVIDIA’s A100 Ampere GPU for sparse and batched computations
H Anzt, YM Tsai, A Abdelfattah, T Cojean, J Dongarra
2020 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High …, 2020
Órdenes: US Department of Energy, Helmholtz Association
C++ api for blas and lapack
M Gates, P Luszczek, A Abdelfattah, J Kurzak, J Dongarra, K Arturov, ...
SLATE Working Notes, 2017
Órdenes: US Department of Energy
Towards half-precision computation for complex matrices: A case study for mixed precision solvers on gpus
A Abdelfattah, S Tomov, J Dongarra
2019 IEEE/ACM 10th Workshop on Latest Advances in Scalable Algorithms for …, 2019
Órdenes: US National Science Foundation
Factorization and inversion of a million matrices using GPUs: Challenges and countermeasures
A Abdelfattah, A Haidar, S Tomov, J Dongarra
Procedia Computer Science 108, 606-615, 2017
Órdenes: US National Science Foundation, US Department of Energy
libCEED: Fast algebra for high-order element-based discretizations
J Brown, A Abdelfattah, V Barra, N Beams, JS Camier, V Dobrev, ...
Journal of Open Source Software 6 (63), 2945, 2021
Órdenes: US Department of Energy
La información de publicación y financiación se determina de forma automática mediante un programa informático