Accelerating Research in the Cloud with AWS with the South Hub

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RENCI

5th Floor, Biltmore Conference Room

100 Europa Drive

Chapel Hill, NC 27517

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Please join Amazon Web Services (AWS), the South Big Data Innovation Hub, and RENCI for an Amazon Web Services Training on Wednesday, October 31st from 8:30am to 4:45pm ET. This workshop will introduce advanced topics in AWS and take you through a deep-dive into AWS core services.​

You can select one or both of the following training options:

AWS for Research Training: Learn about AWS at an all-day classroom training with demonstrations and a hands-on lab.

Explore Your Project on AWS: Bring your project or use case for a 45-minute One-on-One session with an AWS architect. You can sign up as an individual or as a team.

Draft Agenda

8:30 - 9:00 - Welcome and Introductions
9:00 - 10:00 - AWS Fundamentals Recap:
We'll begin the day with a recap of AWS services. What is AWS and what sets us apart? We will review the AWS Global Infrastructure and get an overview of AWS services. Finally, we will talk about security and compliance in the cloud.
10:00 - 11:00 - High Performance Computing (HPC): We'll see how researchers use AWS to run scientific computing workloads, including high-throughput as well as tightly-coupled MPI jobs, for weather forecasting, modeling of materials, genomics sequencing, and more. We'll explain how to set up flexible compute clusters on Amazon EC2 and will compare “cloud clusters” to on-premise clusters.
11:00 - 11:15 - Break
11:15 - 12:15 - Research Computing with Containers:
Containers are increasingly used in research for the sake of easy deployment and portability. We'll see examples of how researchers use containers on AWS including Kubernetes, and we'll dive deeper on Batch computing and workflow management.
12:15 - 1:30 - Lunch and Hands on Computing Lab: either Alces Flight compute cluster or Batch computing
1:30 - 2:30 - Big Data and Analytics: In this session we will discuss how Big Data is evolving and why customers are choosing AWS for their analytic solutions. We will look at the AWS services for analyzing Big Data and discuss which tools are best to solve various Big Data problems.
2:30 - 2:45 - Break
2:45 - 3:45 - AI and Deep Learning: After a brief overview of the ML services and activities at AWS, we dive deeper into the Amazon SageMaker service: a managed ML service that places the power of ML in the cloud — including powerful parallel GPU training clusters, preoptimized training algorithms, and scaling ML model end points — in the hands of every scientist who is comfortable working in a simple Jupyter notebook.
3:45 - 4:45 - Hands on ML Lab: We will bring several SageMaker notebooks for you to work through, from basic TensorFlow tasks to genomics examples
4:45 - 5:00 - Wrap up and Questions

Please remember to bring your computer as the training will involve hands-on activities.

Date and time

Location

RENCI

5th Floor, Biltmore Conference Room

100 Europa Drive

Chapel Hill, NC 27517

View Map

Organizer Amazon Web Services, South Big Data Hub, RENCI

Organizer of Accelerating Research in the Cloud with AWS with the South Hub

Amazon Web Services (AWS) began offering IT infrastructure services to businesses and public organizations in 2006.  Today, Amazon Web Services is recognized as a leader in Cloud Infrastructure as a Service (IaaS) and provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of organizations in 190 countries around the world. AWS enables you to increase the speed of research and reduce time-to-results by running research and HPC workloads in the cloud and scaling to larger numbers of parallel tasks than would be practical in most on-premises environments. AWS helps to reduce costs by providing CPU, GPU, and FPGA servers on-demand, optimized for specific applications, and without the need for large capital investments. With flexible configuration options, AWS lets your research dictate your architecture, not the other way around. AWS allows you to build solutions compliant with HIPAA, FISMA, FedRAMP, PCI, and more.


The South Big Data Innovation Hub accelerates partnerships among people in business, academia, and government who apply data science and analytics to help solve regional and national challenges. The South Hub is part of a network of four regional Big Data Hubs launched by the National Science Foundation and funded in part by host universities and other partners. Managed jointly by two co-executive directors at the University of North Carolina at Chapel Hill and the Georgia Institute of Technology, the South Hub serves 16 states and the District of Columbia - with members from universities, corporations, foundations, and cities committing their support. Learn more by visiting our News, Opportunities & Events page.


RENCI (Renaissance Computing Institute) develops and deploys data science cyberinfrastructure that helps researchers in academia, government, and business use data to drive discoveries, innovate, make informed decisions, and spur economic development. We build communities of domain scientists, data scientists, technology practitioners, and end users who apply data to catalyze innovation and knowledge discovery. We relentlessly improve our competencies in data science and cyberinfrastructure development and deployment, including the entire stack of resources and cloud services known as research cyberinfrastructure. We develop models of collaboration that translate our work into scientific, social, and economic innovations. We document and share our findings through research publications and educational materials.​​

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