Printer Friendly

Altair acquires FluiDyna.

Altair has acquired Germany-based FluiDyna, a renowned developer of Nvidia CUDA and GPU-based computational fluid dynamics (CFD) and numerical simulation technologies. Altair originally invested in the company in 2015 and now builds on its initial investment to strengthen its capabilities for GPU-based high performance computing (HPC) for fluid mechanics.

FluiDyna's simulation software products UltraFluidX and NanoFluidX have been available to Altair's customers through the Altair Partner Alliance and also offered as standalone licences.

'We've worked closely for more than 10 years with FluiDyna, an elite solution provider in our Nvidia partner network nprogram,' said Shanker Trivedi, senior vice president of enterprise business, Nvidia. 'Together, we've helped develop forward-thinking simulation tools that leverage Nvidia technology for better performance and efficiency throughout the design process.'

UltraFluidX solves large-scale internal and external aerodynamics problems for a broad class of applications including ultra-fast prediction and evaluation of vehicle, building, and environmental aerodynamics. The software is based on the Lattice Boltzmann method, providing users with superior performance and dramatically reducing the model preparation time for large, complex models. The integrated volume meshing and fast transient analyses deliver short turnaround times, resulting in completely new possibilities for simulation-driven design and significant cost savings.

NanoFluidX is a fluid dynamics simulation tool based on the smoothed particle hydrodynamics method to predict the flow in complex geometries with complex motion. For example, it can be used to predict the oiling in powertrain systems with rotating shafts and gears, and analyse forces and torques on individual components of the system.

James Scapa, founder, chairman, and CEO at Altair said, 'We are excited about FluiDyna and especially their work with Nvidia technology for CFD applications.

'We believe the increased throughput and lower cost of GPU solutions is going to allow for a significant increase in simulations which can be used to further impact the design process.'

COPYRIGHT 2018 Europa Science, Ltd.
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2018 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Publication:Scientific Computing World
Date:Jun 1, 2018
Previous Article:Elsevier and PerkinElmer partnership aims to enable faster chemistry research.
Next Article:Tachyum announces new processor platform.

Terms of use | Privacy policy | Copyright © 2019 Farlex, Inc. | Feedback | For webmasters