parallel algorithms

ECRC brings astronomy back home

4 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.

Xuefeng Cui

Postdoctoral Research Fellow, Structural and Functional Bioinformatics

bioinformatics Deep learning parallel algorithms

Xuefeng Cui worked as a Postdoctoral research fellow at Prof. Xin Gao's Structural and Functional Bioinformatics Group (SFB) at King Abdullah University of Science and Technology (KAUST) during 2014-2016. Currently, Xuefenga is a Professor at Shandong University, China. Education Profile Ph.D. degree, University of Waterloo, Canada, Jan 2007 - April 2014 (except May-Aug, 2012 and May-Aug, 2013). Master's degree, University of Waterloo, Canada, Sep 2004 - Dec 2006. Bachelor's degree, University of Waterloo, Canada, Sep 2000 - Apr 2004. Columbia International College, Canada, Sep 1999 - Aug 2000

Sameh Abdulah

Sameh Abdulah

Senior Research Scientist, Applied Mathematics and Computational Science

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

Dr. Sameh Abdulah specializes in HPC, scalable algorithms, and climate modeling, with innovations receiving the ACM Gordon Bell Prize for Climate Modelling.

Li Luo

Postdoctoral Research Fellow (former), 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 (former), Hierarchical Computations on Manycore Architectures

seismic imaging parallel algorithms

Kadir Akbudak

Consultant, Hierarchical Computations on Manycore Architectures

numerical methods low rank approximation seismic imaging parallel algorithms big data

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

High Performance Computing asynchronous algorithms GPU Computing parallel algorithms performance modeling

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