Parallel and Distributed Computing

ISC21 Workshop: Numerical Algorithms and Libraries for Exascale (NAL-X)

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ISC21 KAUST Frankfurt Germany Time CET

Abstract With the hardware technology scaling and the trend on heterogeneous chip design, the existing numerical algorithms and software framework may break down due to load imbalance. There is currently a fundamental mismatch between the underlying hardware architecture with high thread concurrency and the software deployment of numerical libraries, which relies on the traditional bulk synchronous programming model. Numerical software should first squeeze performance out of single node by efficiently running on manycore architectures with processor counts sharing a common memory in the

Heterogeneity in Hardware: Opportunities and Challenges for Software and Applications (SC21 Panel)

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SC21 Saint Louis MO USA

Heterogeneity in Hardware: Opportunities and Challenges for Software and Applications SC21 Panel Time: Tuesday, 16 November 2021, 10:30am - 12pm CST Location: 225-226 (America's Center, St. Louis, MO USA) Abstract With the end of Moore’s Law, the community has witnessed new hardware trends to increase performance. Today, it is not only the traditional x86 and accelerators that are part of computing systems, but also ARM, FPGAs and dedicated processors for DL workloads that equip now pioneering HPC systems. By the end of this decade, we are moving towards an era of extreme scale with “extreme

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

Stefano Zampini

As a computational mathematician and software engineer, Stefano Zampini's work lies at the intersection of numerical analysis, predictive simulations, and high-performance computing, with recent forays into machine learning.

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

Adel Dabah

Adel Dabah is a Postdoctoral Fellow in the Communication Theory Lab (CTL) and Extreme Computing Research Center (ECRC) at King Abdullah University of Science and Technology (KAUST), working with Professor Slim Alouini (CTL) and Professor David Keyes (ECC). Education and Early Career Adel Dabah studied Computer Science and got his Engineering and Master degrees from the University of Science and Technology Houari Boumediene (USTHB) in Algeria in 2010 and 2013 respectively. In 2018, he received his Doctoral Degree from USTHB University in Artificial Intelligence and Computer Science field