Home Cloud Computing Architectures for HPC and HTC Workloads on AWS – AWS Public Sector Summit 2017 Customer Keynote Video

Architectures for HPC and HTC Workloads on AWS – AWS Public Sector Summit 2017 Customer Keynote Video

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Researchers and IT professionals using High Performance Computing (HPC) and High Throughput Computing (HTC) need large scale infrastructure in order to move their research forward. Neuroimaging employs a variety of computationally demanding techniques with which to interrogate the structure and function of the living brain. Tara Madhyastha with the University of Washington, Department of Radiology, is demonstrating these methods at scale. This session will provide reference architectures for running your workloads on AWS, enabling you to achieve scale on demand, and reduce your time to science. We will also debunk myths about HPC in the cloud and show techniques for running common on-premises workloads in the cloud.

This video is from the fine folks at Amazon Web Services (AWS).

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Amazon Web Services

Launched in 2006, Amazon Web Services offers a robust, fully featured technology infrastructure platform in the cloud comprised of a broad set of compute, storage, database, analytics, application, and deployment services from data center locations in the U.S., Australia, Brazil, China, Germany, Ireland, Japan, and Singapore. More than a million customers, including fast-growing startups, large enterprises, and government agencies across 190 countries, rely on AWS services to innovate quickly, lower IT costs and scale applications globally.

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