Intelligent Light News

HPC, In Situ and Data Analytics at SC18

Advances in the use of HPC, In Situ and Data Analytics for CFD dominate our contribution to SC18. Join us at events, in workshops and technical sessions and on the exhibit floor in Booth #826 to learn how these advances will help you. Data Science Meets CFD – Steve Legensky, Invited speaker at In Situ

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CFD Explained for Engineers

CFD is Non-Linear and More Difficult to Tame than Structural FEA Unlike static structural analysis and other physical modelling regimes, the Navier-Stokes formulae are partial differential equations that for most interesting geometries and realistic flow conditions, do not have an analytical solution.   For realistic problems, you can’t just plug algebraic terms into Matlab.  Numerical methods

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CFD Explained For Practitioners

CFD Workflow Best Practices Whether you are using one of the Top500 supercomputers or a modest cluster for CFD, post-processing can be a big bottleneck. Since this is where decisions are made and your goal is to make the best decisions possible, why not optimize your post-processing workflow? Intelligent Light can help in three important

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CFD Explained for Business Managers

Managing CFD Resources to Maximize Value The power of Computational Fluid Dynamics (CFD) is leveraged across industries as varied as aerospace, energy, casting and architecture. CFD has the potential to greatly benefit the design process by providing new ways to analyze and understand the performance of products before they are manufactured. However, fluid dynamics is

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CFD Explained – What is CFD?

What is CFD and How Does it Work? The properties of fluids and gases (Fluid Dynamics) have been studied for many years; understanding and predicting their behavior is important to many fields, from medicine to nuclear power to automobile design to jets. The field of Computational Fluid Dynamics (CFD) uses computing to evaluate the models

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Visions of Exascale CFD: ASME Fluids Engineering Division Summer Meeting

Visions of Exascale CFD Over the past thirty years, computational simulation of fluid dynamics has made huge strides in meshing of complex geometries, computational efficiency and most importantly, greater fidelity in physics models.Current trends include greater adoption of unsteady methods via LES, higher order methods and alternatives to classical CFD such as Lattice Boltzmann methods.However,

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UQ with Dakota & FieldView XDB Workflow at Overset Grids Symposium October 17–20, 2016

As CFD users increasingly exploit ultrascale HPC capability and approach the realm of exascale, they will run studies consisting of many related simulations at very high fidelity. This will give engineers and researchers both the ability and need to assess the quality of their simulations. When simulation quality has been vetted, engineering judgments and investment decisions can

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VisIt Prime Training Seminar at Tokyo University of Science

Intelligent Light delivered a customized training session on the use and deployment of VisIt Prime, our new software and service package, at Tokyo University of Science. We have hardened and enhanced VisIt and now offer professional support from our global support team. The training – given by Brad Whitlock, a primary VisIt developer at LLNL

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ASME Verification and Validation Symposium

I had the pleasure of attending this year’s ASME Verification and Validation Symposium last month.  Verification, Validation and Uncertainty Quantification is an ongoing focus area for me, so in addition to the Symposium, I attended the 2 day course taught by Bill Oberkampf and Chris Roy, authors of the book, Verification and Validation for Scientific

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Earl P. N. Duque Honored as AIAA Associate Fellow

Earl P. N. Duque, Intelligent Light’s Manager of Applied Research was inducted as an AIAA Associate Fellow on January 5th, 2015 during the AIAA SciTech Forum in Florida.  The award was presented by Jim Albaugh, CEO of Boeing Commercial Airplane and AIAA President. A career practitioner of Computational Fluid Dynamics (CFD), Dr. Duque has over

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