08:30 – 9:00

Breakfast and Registration

09:00 – 09:10

Welcome!

Dr. Jysoo Lee, Facilities Director, Research Computing Core Labs &

Mr.Piero Altoe, Business Development Manager, NVIDIA

09:10 – 10:10

Keynote Talk #1: An Accelerated Computing System is Different

Dr.Timothy Lanfear, Director, Solution Architecture and Engineering EMEA, NVIDIA

10:10 – 10:30

GPU Resources at KAUST: the present and the future

Dr.Saber Feki, Computational Scientist Lead, Supercomputing Core Laboratory, KAUST

10:30 – 11:00

Coffee Break and Group Photo

11:00 –11:30

SwitchML: Scaling Distributed Machine Learning with In-Network Aggregation

Dr. Marco Canini, Assistant Professor, Extreme Computing Research Center, KAUST

11:30 – 12:00

A Five-Year Status of GPU-accelerated Applications at ECRC

Dr.Hatem Ltaief, Senior Research Scientist, Extreme Computing Research Center, KAUST

12:00 – 13:30

Lunch

13:30 – 14:15

Keynote Talk #2: OpenACC, GPU Programming and Parallelware Tools

Dr. Manuel Arenaz, CEO at Appentra Solutions and professor of computer science, University of a Coruña, Spain

14:15 – 14:45

High-performance Asynchronous Execution of the Reverse Time Migration for the Oil and Gas Industry

Ms.Amani Alonazi, PhD Student, Computer Science, KAUST

14:45 – 15:15

Matrix Algebra Framework for Portable, Scalable and Efficient Query Engines for RDF Graphs

Mr.Fuad T. Jamour, PhD Student and Prof. Panagiotis Kalnis, Computer Science, CEMSC, KAUST

15:15 – 15:30

Coffee Break

15:30 – 16:00

Leveraging ExaGeoStat with Mixed Precision Algorithms for Modeling and Predictions in Geo-Statistics Applications

Dr.Sameh M. Abdulah, Dr.Hatem Ltaief, Dr.Ying Sun, Dr.Marc Genton, and Dr.David Keyes, Extreme Computing Research Center, KAUST

16:00 – 16:15

GPU Hackathon

Dr.Bilel Hadri, Hackathon Chair and Computational Scientist, Supercomputing Core Laboratory, KAUST

16:15 – 16:30

Closing Remarks 

Dr. Saber Feki, Workshop Chair and Computational Scientist Lead, Supercomputing Core Laboratory, KAUST

Timothy Lanfear manages the European solution architecture and engineering team in NVIDIA’s Enterprise Solutions Group. He has twenty-five years’ experience in HPC, starting as a computational scientist in British Aerospace’s corporate research centre, and then moving to technical pre-sales roles with Hitachi, ClearSpeed, and most recently NVIDIA. He has a degree in Electrical Engineering and a PhD for research in the field of graph theory, both from Imperial College London. He is a Chartered Engineer and Member of the Institution of Engineering and Technology.

                Abstract

Piero Altoè is responsible of the HPC segment in Middle East at NVIDIA and he brings more than 8 years of experience in computational chemistry. he is author of 30 papers published on international scientific journals. He joined the NVIDIA in 2016. Piero Altoè achieved his Ph.D. in 2007 at Università di Bologna focusing his attention on the development and applications of hybrid quantum and molecular mechanics methods. Since 2002 he is involved in high performance computing activities related to software development and system administration.

9:30 AM

Welcome

9:30 - 12:00 PM

LECTURE:  Deep Learning Demystified

Abstract: 

The last five years has seen an unprecedented progress in Artificial Intelligence research. Neural Networks, which were perceived as a failed experiment of Machine Learning research, not only are successfully solving a wide range of everyday problems but in many cases significantly exceed human performance. The goal of this talk is to help to understand which problems can be solved with Deep Neural Networks today.

12:00 - 1.30pm

LUNCH

1:30 - 5:00 PM

Hands-on Course: Fundamental of deep learning for computer vision (Limited Seating)

Abstract: 

In this hands-on course, you will learn the basics of deep learning by training and deploying neural networks. You will:

  Implement common deep learning workflows such as Image Classification and Object Detection.

  Experiment with data, training parameters, network structure, and other strategies to increase performance and capability.

  Deploy your networks to start solving real-world problems.

On completion of this course, you will be able to start solving your own problems with deep learning. 

5:00pm

CLOSE 

Manuel Arenaz is CEO at Appentra Solutions and professor of computer science at the University of A Coruña (Spain). Holds a PhD on advanced compiler techniques for automatic parallelization of scientific codes. After 10+ years teaching parallel programming at undergraduate and PhD levels, he strongly believes that the next generation of STEM engineers needs to be educated in HPC technologies to address the digital revolution challenge. Recently, he co-founded Appentra Solutions to commercialize products and services that take advantage of Parallware, a new technology for semantic analysis of scientific HPC codes. Parallware Trainer by Appentra is a step forward to enable experiential self-learning of parallel programming, one of the biggest technical challenges today. For this purpose, he led the foundation of the startup, conducted the technology transfer agreement and attended training courses for entrepreneur scientists. Now launching Parallelware Trainer to the HPC market.

9:00 - 9:15am

Welcome

9:15 - 9:45 am

LECTURE: 

       An introduction to OpenACC and GPUs

9.45 - 10:30 am

INTERACTIVE LECTURE: 

      Accelerating with OpenACC

10:30 - 11:00am

COFFEE

11:00 - 11:30 am

LECTURE: 

      Parallel Patterns

11:30 - 12:00 pm

PRACTICAL: 

      Parallelizing the calculation of PI

12:00 - 1.30pm

LUNCH

1:30 - 3:00 pm

INTERACTIVE LECTURE: 

     OpenACC directives for improved performance

3:00 -  3:30 pm

COFFEE

3:30 - 4:00 pm

INTERACTIVE LECTURE: 

     Effectively managing data transfers

4:00 - 5:30 pm

PRACTICAL: 

      Parallelizing the LULESH microkernel

5:30pm

CLOSE