Dalal Sukkari

According to our database, Dalal Sukkari authored at least 15 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Task-Based Polar Decomposition Using SLATE on Massively Parallel Systems with Hardware Accelerators.

Dalal Sukkari, Mark Gates, Mohammed A. Al Farhan, Hartwig Anzt, Jack J. Dongarra

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

High-Performance SVD Partial Spectrum Computation.

David E. Keyes, Hatem Ltaief, Yuji Nakatsukasa, Dalal Sukkari

Proceedings of the International Conference for High Performance Computing, 2023

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, Mohammed A. Al Farhan, Jack J. Dongarra

Dataset, August, 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

Dataset, August, 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

Proceedings of the IEEE/ACM International Workshop on Performance, 2022

2021

High-Performance Partial Spectrum Computation for Symmetric eigenvalue problems and the SVD.

David E. Keyes, Hatem Ltaief, Yuji Nakatsukasa, Dalal Sukkari

CoRR, 2021

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

2019

High Performance Polar Decomposition on Manycore Systems and its application to Symmetric Eigensolvers and the Singular Value Decomposition.

Dalal Sukkari

PhD thesis, 2019

Massively Parallel Polar Decomposition on Distributed-memory Systems.

Hatem Ltaief, Dalal Sukkari, Aniello Esposito, Yuji Nakatsukasa, David E. Keyes

ACM Trans. Parallel Comput., 2019

A QDWH-based SVD Software Framework on Distributed-memory Manycore Systems.

Dalal Sukkari, Hatem Ltaief, Aniello Esposito, David E. Keyes

ACM Trans. Math. Softw., 2019

Leveraging Task-Based Polar Decomposition Using PARSEC on Massively Parallel Systems.

Dalal Sukkari, Hatem Ltaief, David E. Keyes, Mathieu Faverge

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2018

Asynchronous Task-Based Polar Decomposition on Single Node Manycore Architectures.

Dalal Sukkari, Hatem Ltaief, Mathieu Faverge, David E. Keyes

IEEE Trans. Parallel Distributed Syst., 2018

Extreme Computing for Extreme Adaptive Optics: The Key to Finding Life Outside our Solar System.

Hatem Ltaief, Dalal Sukkari, Oliver Guyon, David E. Keyes

Proceedings of the Platform for Advanced Scientific Computing Conference, 2018

2016

A High Performance QDWH-SVD Solver Using Hardware Accelerators.

Dalal Sukkari, Hatem Ltaief, David E. Keyes

ACM Trans. Math. Softw., 2016

High Performance Polar Decomposition on Distributed Memory Systems.

Dalal Sukkari, Hatem Ltaief, David E. Keyes

Proceedings of the Euro-Par 2016: Parallel Processing, 2016