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HIGH-PERFORMANCE COMPUTING SERVICES

Annual KAUST-NVIDIA Workshop: Accelerating Scientific Applications using GPUs

KAUST-CONVERGE Workshop HIGH-PERFORMANCE COMPUTING SERVICES

This two-day workshop consists of a series of keynote presentations on the application of CONVERGE in various engineering applications, followed by a comprehensive training program for users at different experience levels, includ- ing tutorials for running CONVERGE on Shaheen II. Summary of the planned activities for this free of cost event is shown below. Day 1: User Conference and Tutorials Morning: Keynote presentations – CONVERGE in engineering applications Afternoon: CONVERGE hands-on tutorials, part I Networking dinner Day 2: CONVERGE User Tutorials Morning: CONVERGE hands-on tutorial, part II PARTICIPANT PROFILE This course is intended for students and research professionals from KAUST, and their collaborators from academia and industry, who are interested in GPU accelerators as a computing processor for scientific computing or Machine Learning/Deep Learning workloads. PREREQUISITES MAXIMUM PARTICIPANTS 40 DURATION 2 days FREQUENCY Yearly Afternoon: CONVERGE on Shaheen II Afternoon: User feedback/discussion

The KAUST Supercomputing Core Laboratory (KSL) has co-organized an an- nual workshop on Accelerating Scientific Applications using GPUs with NVIDIA. The workshop provides an opportunity to learn about the latest hardware and software advances by NVIDIA for Scientific Computing and Artificial Intelligence as well as showcasing the related KAUST success stories using GPUs. The event is typically held in conjunction with tutorials and a 2-day hackathon event where teams of developers will be selected to port and accelerate their domain science applications to GPU accelerators. These teams are guided by OpenACC and CUDA mentors from NVIDIA and KAUST. PARTICIPANT PROFILE The workshop is open to participants at all levels who are interested in GPU ac- celerators as a computing processor for scientific computing or Machine Learn- ing/Deep Learning workloads. A minimum understanding of computer architec- ture and programming is required. PREREQUISITES MAXIMUM PARTICIPANTS 40 DURATION 3-5 days FREQUENCY Yearly

Learn Develop Excel

Specialized Instrument & Method Training Catalog

Edition 1, September 2020

303

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