parallel algorithms

ECRC brings astronomy back home

1 min read · Tue, Feb 20 2018

optical telescope GPU Computing parallel algorithms

Astronomy research excellence is coming back home to the Middle East, where it took its first steps around 1200 BC. Custome new software developed by the KAUST Extreme Computing Research Center (ECRC) was released at the end of 2017. Named MOAO - Multiple Object Adaptive Optics â the software will contribute to the activities of the world's largest future optical telescope to be deployed in Chile in 2024.

Sameh Abdulah

Research Scientist, Hierarchical Computations on Manycore Architectures

exageostat extreme computing parallel algorithms large-scale computing machine learning Statistical computing

Dr. Sameh Abdulah is a Research Scientist at the Extreme Computing Research Center. Why KAUST? Finding a university that believes in multi-disciplinary is challenging. KAUST multi-disciplinary vision aims to fill the gaps between different research fields to serve the human needs and consolidate the understanding of this mysterious world. Each country should have its KAUST to change the common vision of research around the world. Why HPC? High-performance Computing (HPC) is a way to move science from a limited scale to non-expected scale. Scalability means more analysis, understanding, and

Li Luo

Postdoctoral Research Fellow, Hierarchical Computations on Manycore Architectures

parallel algorithms computational fluid dynamics

Research Interest Li Luo's research interest include Scalable Parallel Algorithms, Computational Fluid Dynamics (CFD). Why KAUST? Discuss with the top class faculty, work with the world-class equipment, and enjoy the most diversified culture on the planet. Why did you choose your field of research? Simulation of large flow problems is computationally demanding, such as the two-phase flow and the blood flow in realistic cases. The use of supercomputers and highly scalable parallel algorithms is necessary. Research projects P2Pflow: a Parallel two-Phase flow solver P2Pflow is a parallel finite

Long Qu

Research Scientist, Hierarchical Computations on Manycore Architectures

seismic imaging parallel algorithms

Dr. Long Qu is a Research Scientist at the Extreme Computing Research Center at KAUST, working with Prof. David E. Keyes and Dr. Hatem Ltaief. Research Interests Long Qu's research interests include seismic imaging and high performance computing on heterogeneous hardware architectures.

Kadir Akbudak

Consultant, Hierarchical Computations on Manycore Architectures

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Dr. Kadir Akbudak is a Consultant at Extreme Computing Research Center at KAUST, working with Professor David E. Keyes and Dr. Hatem Ltaief. Research Interests Kadir Akbudak's research interests include Combinatorial scientific computing, Graph and hypergraph partitioning, Locality-aware partitioning and scheduling, High performance kernels for sparse computations, Vectorization for irregular applications, Iterative numerical methods and Parallel numerical algorithms. Education Profile Ph.D., Computer Engineering, Bilkent University, 2015. M.S., Computer Engineering, Bilkent University, 2009

Amani Alonazi

Visiting Researcher, Image and Video Understanding Lab

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Amani Alonazi is a Visiting Researcher in the Image and Viedo Understanding Lab (IVUL) Research Group working with Professor Bernard Ghanem. Previously, she was a Ph.D. candidate in Computer Science at CEMSE, KAUST, and a member of KAUST's Extreme Computing Research Center, ACM, and SIAM. Areas of expertise and current scientific interests Amani's research focuses on developing novel asynchronous task-based algorithms of solvers in scientific simulations. The core of her work lies within the domain of high-performance computing, which combines performance optimizations, modeling, and