Parallel and Distributed Computing

PhD Defense of Tariq AlTurkestani

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Maximizing I/O Bandwidth for Out-of-Core HPC Applications on Heterogeneous Large-Scale Systems PhD Dissertation Defense by Tariq Alturkestani PhD Student, Computer Science Thursday, July 9, 16:00 - 17:00, https://kaust.zoom.us/j/94054511362 Contact Person: Tariq Alturkestani The execution rate of floating-point operations has typically increased by an order of magnitude every four years during the last 30 years of modern comput ing. This exponential growth in terms of computational power has benefited from the hardware technology scaling. However, memory and storage systems have not maintained

Malek Smaoui

Instructional Associate Professor, Computer Science
Malek Smaoui is dedicated to making learning computing accessible to students from all backgrounds, by enhancing their computing learning experiences, via modern teaching approaches and technologies.

Majed Sahli

Majed Sahli obtained his Ph.D. degree in Computer Science under the supervision of Professor Panagiotis Kalnis from King Abdullah University of Science and Technology (KAUST). Research Interest Majed's Research interests included Parallel and distributed computing, large data management, string processing, and graph theory. Education Profile Ph.D. in Computer Science at King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. (2010-2015) Masters Degree in Computer Science with Distinction from NU, San Diego, CA, USA. (2008-2010) Bachelor's Degree in Computer Science