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Video: Computational Fluid Dynamics for Surgical Planning

“The current versions of the codes use MPI and depend on finer and finer meshes for higher accuracy which are computationally demanding. To overcome the demands, the team has gained access to their state-of-the-art cluster equipped with POWER CPUs and Tesla P100 GPUs — and turning to OpenACC and machine learning to accelerate their science. This has allowed them to spend the least resources on programming, and effectively utilize available compute resources.”

Call for Abstracts: FLOW-3D Americas Users Conference

The 2017 FLOW-3D Americas Users Conference has issued its Call for Abstracts. The event takes place Sept. 20-21 in Santa Fe, NM. “The call for abstracts for is now open. Share your experiences, present your success stories and obtain valuable feedback from your fellow CFD practitioners and Flow Science staff. The deadline to submit an abstract is Friday, August 4. The conference proceedings will be made available to attendees as well as through the Flow Science website.”

Supercomputing the Hyperloop on Azure

Today Cycle Computing announced that the HyperXite team is using CycleCloud software to manage Hyperloop simulations using ANSYS Fluent on the Azure Cloud. “Our mission is optimize and economize the transportation of the future and Cycle Computing has made that endeavor so much easier, said Nima Mohseni, Simulation Lead, HyperXite. “We absolutely require a solution that can compress and condense our timeline while providing the powerful computational results we require. Thank you to Cycle Computing for making a significant difference in our ability to complete our work.”

Best Practices – Large Scale Multiphysics

Frank Ham from Cascade Technologies presented this talk at the Stanford HPC Conference. “A spin-off of the Center for Turbulence Research at Stanford University, Cascade Technologies grew out of a need to bridge between fundamental research from institutions like Stanford University and its application in industries. In a continual push to improve the operability and performance of combustion devices, high-fidelity simulation methods for turbulent combustion are emerging as critical elements in the design process. Multiphysics based methodologies can accurately predict mixing, study flame structure and stability, and even predict product and pollutant concentrations at design and off-design conditions.”

Video: Rescale Night Showcases HPC in the Cloud

“Billed as an exposition into ‘The Future of Cloud HPC Simulation,’ the event brought together experts in high-performance computing and simulation, cloud computing technologists, startup founders, and VC investors across the technology landscape. In addition to product demonstrations with Rescale engineers, including the popular Deep Learning workshop led by Mark Whitney, Rescale Director of Algorithms, booths featuring ANSYS, Microsoft Azure, Data Collective, and Microsoft Ventures offered interactive sessions for attendees.”

Job of the Week: Wind Energy Research Engineer at NREL

“The National Renewable Energy Laboratory(NREL), located at the foothills of the Rocky Mountains in Golden, Colorado, is the nation’s primary laboratory for research and development of renewable energy and energy efficiency technologies. NREL is continuing an active research and development program for modeling of wind farm interactions and mesoscale dynamics within the National Wind Technology Center. This R&D program has an opening for one full-time engineer in wind farm modeling and mesoscale research.”

A Look at the CODAR Co-Design Center for Online Data Analysis and Reduction at Exascale

Ian Foster and other researchers in CODAR are working to overcome the gap between computation speed and the limitations in the speed and capacity of storage by developing smarter, more selective ways of reducing data without losing important information. “Exascale systems will be 50 times faster than existing systems, but it would be too expensive to build out storage that would be 50 times faster as well,” said Foster. “This means we no longer have the option to write out more data and store all of it. And if we can’t change that, then something else needs to change.”

Supercomputing Drone Aerodynamics

In this video, researchers at NASA Ames explore the aerodynamics of a popular example of a small, battery-powered drone, a modified DJI Phantom 3 quadcopter. “The Phantom relies on four whirring rotors to generate enough thrust to lift it and any payload it’s carrying off the ground. Simulations revealed the complex motions of air due to interactions between the vehicle’s rotors and X-shaped frame during flight. As an experiment, researchers added four more rotors to the vehicle to study the effect on the quadcopter’s performance. This configuration produced a nearly twofold increase in the amount of thrust.”

Pointwise Adds Script Language Support for CFD Mesh Generation

Today Pointwise announced that the latest release of their CFD mesh generation software has been extended such that its Tcl-based Glyph scripting language can be called from any scripting language including Python. This new Glyph Server feature was motivated by a user’s presentation at the Pointwise User Group Meeting 2016. “The Glyph Server idea arose after talking to the customer who presented his work on ‘A Python Binding for the Pointwise Glyph Scripting Language’ at our user group meeting,” said John Chawner, Pointwise’s president. “Not only were we able to share new code with the customer to simplify his work but the conversation made us realize how to make Glyph callable from any scripting language.”

ExaFLOW Funds CFD Research for Exascale

The ExaFLOW project has announced 3.3 Million Euros of funding for a group of eight organizations to take Europe’s CFD community one step closer to performing simulations in exascale environments.