Location: Room P11 – Peony Jr 4511 (Level 4)
Abstract: Learn to leverage cloud technologies for enhancing High Performance Computing (HPC) workflows through this comprehensive tutorial. Participants will explore how the cloud provides the scalability, agility, and flexibility needed for modern HPC applications, including weather modeling, computational fluid dynamics (CFD), financial services, and genomic analysis.
The session combines progressive lectures with hands-on labs using temporary AWS accounts, covering cloud foundations and best practices for HPC workloads. Participants are also provided with the opportunity to run scientific workloads using the Virtual Fugaku container, offering practical experience with cutting-edge cloud-based HPC resources. A guest speaker from RIKEN-CCS will provide insights into how Virtual Fugaku complements the Fugaku Supercomputer’s on-premises capabilities, demonstrating the powerful synergy between cloud and traditional HPC infrastructures.
This tutorial is ideal for scientists, engineers, and HPC specialists looking to expand their expertise in cloud-native technologies for HPC applications.
Important Notes: Attendees need to bring a WiFi capable laptop with a modern browser (Chrome, Firefox). Linux command line familiarity and basic scripting abilities, such as bash/zsh are required for the hands-on portions of this tutorial.
For any enquiries: Please email shutsui@amazon.com
Agenda:
Time | Topic |
9:30am – 9:45am | Welcome and Introduction |
9:45am – 10:15am | Talk: Cloud Fundamentals for HPC |
10:15am – 10:30am | Lab 0: Access the workshop |
10:30am – 10:45am | Morning Break |
10:45am – 12:00pm | Lab 1: Create an HPC cluster and run a simulation on AWS Parallel Computing Service (PCS) |
12:00 – 12:15pm | Demo: AWS Research Engineering Studio (RES) with PCS |
12:15 – 1:30pm | Lunch Break |
1:30pm – 2:00pm | Talk: Hybrid HPC Concepts / What is Virtual Fugaku? |
2:00pm – 3:00pm | Lab 2: Portable HPC using Apptainer and AWS ParallelCluster |
3:00pm – 3:20pm | Talk: Cloud-native HPC with AWS Batch |
3:20pm – 3:45pm | Tea Break |
3:45pm – 5:15pm | Lab 3: Run multiple HPC workloads with AWS Batch |
5:15pm – 5:30pm | Summary and Q&A |