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Case Study

Engineering Case Studies with 42 ISV codes in the Cloud

This Simr Compendium presents case studies about 42 Simr projects based on more
than 42 different software packages from Independent Software Vendors (ISVs) describing onboarding of technical computing applications to High-Performance Computing (HPC) clouds.

 

Like its predecessors between 2013 – 2020, this edition has been generously sponsored by Hewlett Packard Enterprise and Intel, and by our Media Sponsors Digital Engineering DE247 and HPCwire.

 

Simr is on a mission to help manufacturers thrive by advancing SimOps, the practice of automating simulation processes to improve decision-making, innovation, efficiency, and quality in product design and engineering. Founded by engineers for engineers, Simr enables rapid product development and delivery with a versatile, high-performance platform compatible with any compute infrastructure. Furthering our commitment to making SimOps the new standard in manufacturing design, our platform allows engineers to securely design and test product concepts using existing workflows and tools, providing complete control over their simulation workflows and data.

Featured case studies

Check our recent work

With Rimac, The Fastest Electric Hypercars Finally Reach The Cloud

In 2021, Rimac and UberCloud forged a partnership, with a need for optimized innovation at its core. Rimac Technology engineers were running more and more simulations with an aging, on-premises high performance computing (HPC) cluster. While compute power continued to fall short, the demand for resources continued to grow exponentially.

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Simulation Of An Airbag With ANSYS LS-DYNA

This Simr experiment, designed to better understand air bag inflation behavior under dynamic conditions, has added to that knowledge.

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Engineering Case Studies with 42 ISV codes in the Cloud

Explore 11 engineering simulation projects on Amazon AWS, all born from the imperative to tackle complex manufacturing challenges swiftly, efficiently, and with utmost quality.

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Fluid Structure Interaction Using ANSYS

Explore the benefits of ANSYS in the Cloud by withaeroelastic behavior and flutter instability of aircraft wings in subsonic flight using simulations.

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Deep Learning For Steady-State Fluid Flow Prediction In The Advania Data Centers Cloud

This Case Study applies Artificial Neural Networks to solve CFD problems. This decreases time-to-solution while preserving traditional CFD solver accuracy

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CFD Simulation Of Vertical Axis Wind Turbine

Vertical Axis Wind Turbines (VAWTs) are harder to model aerodynamically than horizontal designs due to varying wind velocities. The DMST method is inaccurate for precise estimates. CFD simulations, especially fully transient ones, offer better results.

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