Name: How to optimize HPC spend and performance
Start: 2021-02-23T18:00:00Z
End: 2021-02-23T18:00:54.000Z
Location: BrightTALK
Rating: 1

We will be sharing video content that shows how engineering and R&D organizations can increase productivity, streamline workflows and innovate faster, all whilst reducing overall HPC cost of ownership.

In this webinar, originally recorded in November, Professor Joaquim R. R. A. Martins from the University of Michigan’s Aerospace Department will share his perspectives on the promises and challenges of MDO and showcase his lab’s cutting edge work in MDO applied to aircraft design.

Enabling Large-Scale Multidisciplinary Design Optimization with the Cloud

Ed Hsu, Chief Product Officer at Rescale will define the three pillars to HPC optimization: Performance, Value and Scalability. Ed will explore how IT departments can build a robust and secure continuous optimization engine for their compute workloads whether on-premises or in the cloud.

How to optimize HPC spend and performance

Artificial Intelligence

Cloud Architecture

Cloud Computing

Cloud Infrastructure

Collaboration

Hybrid Cloud

Innovation

Performance Management

Scalability

Cloud computing has exploded over the past few years, delivering a previously unimagined level of workplace mobility and flexibility. The cloud computing community on BrightTALK is made up of thousands of engaged professionals learning from the latest cloud computing research and resources. Join the community to expand your cloud computing knowledge and have your questions answered in live sessions with industry experts and vendor representatives.

As an IT professional, many of the problems you face are multifaceted, complex and don’t lend themselves to simple solutions. The information technology community features useful and free information technology resources. Join to browse thousands of videos and webinars on ITIL best practices, IT security strategy and more presented by leading CTOs, CIOs and other technology experts.

How to optimize HPC spend and performance

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