dense linear algebra

Rabab Alomairy

Postdoctoral Research Fellow, King Abdullah University of Science and Technology

Performance optimization dense linear algebra High Performance Computing

Rabab Alomairy is a PhD candidate in Computer Science. She is studying under supervision of Professor David E. Keyes and Senior research scientist Hatem Ltaief. Research Interest Rabab's research interests focus on Task-Based Numerical Libraries and Applications, Performance Optimizations, AI on Large Scale and Dense Linear Algebra. Why KAUST? I choose KAUST because KAUST is the greenland that is fertile for growing any innovative idea. Why did you choose high performance computing? I choose high performance computing field because it is the key for many disciplines. Many of grand challenges

Nicolas Doucet

Ph.D., Computer Science

astronomy High Performance Computing dense linear algebra GPU Computing

Nicolas Doucet is a PhD student in Computer Science, working under the supervision of Professor David Keyes.

Dalal Sukkari

Ph.D., Applied Mathematics and Computational Sciences

polar decomposition svd dense linear algebra High Performance Computing symmetric eigenvalue problem

Research interests and present research project. Dalal's research centers on a new high performance implementation of the QR-based Dynamically Weighted Halley iterations (QDWH) to compute the polar decomposition and its application to the SVD (QDWH-SVD). She has introduced a high performance QDWH-SVD implementation on multicore architecture enhanced with multiple GPUs, and on distributed memory based on the state-of-the-art vendor-optimized numerical library ScaLAPACK, and has presented the first asynchronous, task-based formulation of the polar decomposition QDWH and its corresponding