What's the Big Deal About GPU Computing?

An episode of the The CFD Mixtape podcast, hosted by M-Star CFD, titled "What's the Big Deal About GPU Computing?" was published on December 2, 2021 and runs 15 minutes.

December 2, 2021 ·15m · The CFD Mixtape

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Summary

Welcome to the CFD Mixtape - a brand new podcast from the experts at M-Star CFD! M-Star President John Thomas hosts a weekly discussion about all things CFD. Join him - and periodic special guests - for pressing questions and lively conversations about Computational Fluid Dynamics. This week, guest Brian DeVincentis, M-Star's Lead Algorithm Developer, joins John to discuss the question, "What's the big deal about GPU computing?"   "It's an exciting area of development and it's going to be neat to see how the hardware ultimately ends up informing the algorithms - and vice versa." In this episode, John and Brian discuss: The differences between CPU and GPU computing.  What types of algorithms run on GPUs (and what types don't).  Hardware and software limitations.  What are your thoughts on GPU computing? Contact us at mstarcfd.com to join the conversation. About M-Star M-Star Simulations, LLC, is a software company focused on the development of computational tools for modeling momentum, energy and mass transport within engineering and biological systems. By pairing modern algorithms with graphical processing card (GPU) architectures, this software enables users to quickly perform calculations with predictive fidelity that rivals physical experiment. These outcomes are achieved using a simple graphical interface that requires minimal user specification and setup times. Founded in Maryland in 2014, M-Star Simulations has grown to include commercial, government and academic users across North America, South America, Europe and Asia. Explore M-Star's website here and follow us on LinkedIn here.

Episode Description

Welcome to the CFD Mixtape - a brand new podcast from the experts at M-Star CFD! M-Star President John Thomas hosts a weekly discussion about all things CFD. Join him - and periodic special guests - for pressing questions and lively conversations about Computational Fluid Dynamics.

This week, guest Brian DeVincentis, M-Star's Lead Algorithm Developer, joins John to discuss the question, "What's the big deal about GPU computing?"

"It's an exciting area of development and it's going to be neat to see how the hardware ultimately ends up informing the algorithms - and vice versa."

In this episode, John and Brian discuss:

The differences between CPU and GPU computing.
What types of algorithms run on GPUs (and what types don't).
Hardware and software limitations.

What are your thoughts on GPU computing? Contact us at mstarcfd.com to join the conversation.

About M-Star

M-Star Simulations, LLC, is a software company focused on the development of computational tools for modeling momentum, energy and mass transport within engineering and biological systems. By pairing modern algorithms with graphical processing card (GPU) architectures, this software enables users to quickly perform calculations with predictive fidelity that rivals physical experiment. These outcomes are achieved using a simple graphical interface that requires minimal user specification and setup times. Founded in Maryland in 2014, M-Star Simulations has grown to include commercial, government and academic users across North America, South America, Europe and Asia.

Explore M-Star's website here and follow us on LinkedIn here.