Rescheduled: Optimizing Scientific Computations - HPC in the Cloud
Thursday, August 25, 2022
12:00 pm - 1:00 pm
About the Event
Engineers and scientists are continuously looking to optimize and accelerate their scientific computations while being able to tackle more complex, higher fidelity, and tightly coupled simulations. Traditionally, the lack of optimized and finite HPC hardware “on-site” has been the major barrier to achieving this objective. On top of preventing engineering teams from being agile this leads to canceled projects and missed revenue due to inefficient usage of hardware and long queue times.
As the need for HPC in the cloud continues to grow, Rescale has created an intelligent platform that allows companies to be software driven. With access to diverse HPC architecture from the major cloud providers, engineering teams can now think software first and optimize their models – without the constraints of fixed HPC resources. This “Lunch and Learn” session will be a walkthrough of the cloud HPC solution offered by Rescale and how the ‘built for the cloud’ approach optimizes performance and cost to deliver the needs and outcomes required by the enterprises of today.
About the Speakers
Nithin Jacob works as a Customer Success Engineer at Rescale based out of Boston. He is responsible for ensuring Rescale customers have a positive and successful adoption of the Rescale platform as they embark on their cloud HPC journey. With a Masters in Mechanical Engineering from Arizona State University, Jacob has six years of experience in the CAE industry supporting engineers and scientists within the Automotive, Medical Device and Manufacturing sectors.
Nikhil Venkat is a Customer Success Engineer at Rescale based in San Jose. With a background in Industrial Engineering and Mechanical Engineering, he has spent over six years in the CAD/CAE space, supporting customers in the aerospace, electronics and medical device industries across the product development cycles from design through validation. Nikhil earned his MS in Mechanical Engineering at the University of Florida.