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UberCloud Voice June 2016

UberCloud Case Study 189: CFD Simulation of Vertical Axis Wind Turbines

Team 186This case study is about computing and optimizing the performance of vertical axis wind turbines (VAWT) through CFD simulations in the Azure Cloud. Apart from the computational effort involved, the task is complicated by the fact that turbulence models are not very good at predicting the (dynamic) stall of the blades at high angles of attack. In order to get around this problem, a small VAWT for validation studies was developed and manufactured at HSR, the Hochschule für Technik in Rapperswil, Switzerland. The first part of the project consisted of performing detailed simulations and measurements of this turbine to verify the meshing and turbulence models. Once acceptable agreement has been found, the simulations will be applied to new and much larger wind turbine designs. Download the case study HERE.

New CAD Trend 2016 Report Available from Business Advantage

Biz AdvantageBusiness Advantage has released their new CAD Trends report 2016. It charts all the major CAD, CAM, CAE, PLM, PDM, Cloud and many other trends over the past 3 years (2014, 15 and 16) and forecasts 5 years into the future (through 2020). This report is available to download HERE.  Business Advantage’s intent in doing these studies is to keep us all up to date and assist future planning for software developers, hardware manufacturers, vendors, service companies, analysts and managers and users of CAD, CAM, CAE, PDM and PLM solutions.  You might also be interested in a recorded webinar where leading CAD Trends have been discussed by Business Advantage staff. This is available to view HERE.

New UberCloud Offers on Azure’s Engineering Simulation Cloud Marketplace

Team 183 - TurbomachineryCFD-fan-nq28-compressible-noHousing-pressure-cullUberCloud is now represented with four offers in the UberCloud Store on the Microsoft Azure Marketplace, with COMSOL Multiphysics, CD-adapco STAR-CCM+, OpenFOAM, and with a complex workflow consisting of the CFD software STAR-CCM+ and the optimization software HEEDS MDO, and more to come. Users can select between different cloud instances, i.e. class A, D, and G processors with different capabilities with respect to the number of cores, performance and memory, and different pricing. These offers are available in datacenters in up to 20 different regions around the world. Early users have successfully tested these containerized CFD solutions and used them already in production, like for example Henrik Nordborg from HSR, the Hochschule für Technik in Rapperswil, Switzerland, and Luboš Pirkl, Co-founder & Technical Director at CFD Support ltd. Their case studies will follow soon.

Desktop Engineering: Supercomputing for the Rest of Us

AweSimSupercomputing or HPC was once confined to researchers working on climate analysis, genomic mapping, and quantum mechanics. But affordable hardware, Open Source software, and creative deployment are ushering in the era of supercomputing for the masses. In this Round Table chaired by Desktop Engineering’s Kenneth Wong, together with Alan Chalker, Director of AweSim at Ohio Supercomputer Center, and Lee Margetts, Chair of the HPC Working Group at NAFEMS are discussing HERE: Supercomputers that you can “borrow” or “rent”; Investing in a mini-HPC cluster with low IT-overhead; Open Source software to manage HPC; Tackling large-scale simulation using in-house or on-demand HPC; and Deploying HPC-powered simulation as on-demand apps.

New 451 Research Report: Container drivers: UberCloud is containerizing HPC – and more

451Bringing the worlds of HPC and cloud together has been a longtime goal of grid computing pioneers a decade ago. “This may have been achieved with UberCloud,” writes WILLIAM FELLOWS, Research Vice President at the 451 Research. Early grid adopters were experimenting with cloud-style consumption-based, self-service, on-demand resource configuration, to additional peak capacity (bursting), marketplaces and more. But latency and performance overheads were the key roadblocks then when it came to using virtualized environments for HPC workloads. William analyzes UberCloud’s technology and business model, and presents a SWOT table with Strength, Weaknesses, Opportunities, and Threads. The 5-page report is available to subscribers of 451 Research HERE.

Univa Grid Engine Adds Support for Docker Containers

Univa-new logo (1)Univa announced the general availably of its Grid Engine 8.4.0 product. Enterprises can now automatically dispatch and run jobs in Docker containers, from a user specified Docker image, on a Univa Grid Engine cluster. This significant update simplifies running complex applications in a Grid Engine cluster and reduces configuration and OS issues. Grid Engine 8.4.0 isolates user applications into their own container, avoiding conflict with other jobs on the system and enables legacy applications in Docker containers and non-container applications to run in the same cluster, including UberCloud application containers from e.g. ANSYS, CD-adapco, COMSOL, and Numeca, based on Docker and enhanced for HPC by UberCloud. Read Unica’s announcement and details HERE.

Cloud Computing Best Practices for Engineering Simulation – Parts 1 & 2

Best Practice2Over the last three years ANSYS has participated in and contributed to several major cloud initiatives around the globe. They have built a cloud partner network, their own Enterprise Cloud on AWS, and participated in over 20 UberCloud Experiments. Now Wim Slagter, ANSYS Director for HPC and Cloud Marketing, has analyzed the major lessons learned and best practices in this 2-part blog. Wim is looking at 8 cloud computing best practices that are fundamentally related to simulation data and end-user access. Among them best practices related to data movement, graphics, secure network communication, job and data management, licensing, business models, HPC workload, start small think big, and No-Size-Fits-All solution for the cloud. Read Wim’s post HERE.

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