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UberCloud Voice September 2015

CFD Engine Blog: How to install OpenFOAM anywhere with Docker

Docker1“Think of a shipping container. They’re standardised so they can be handled & transported correctly wherever they end up in the world. The container doesn’t need to be modified to go on a ship, or a train, lifted by a crane or hauled on a truck. In the same way, a Docker container lets you package up everything you need to run a particular set of computing tasks. … Your container can be used, without modification, on any infrastructure. So, by packaging your CFD environment, OpenFOAM & whatever other tools you may need, into a Docker container you can run OpenFOAM pretty much anywhere.” Read the CFD Engine Blog HERE.

CAD Cloud Startup Onshape raises another $80 Million

OnshapeCAMBRIDGE, Mass. (September 24, 2015)​– Onshape, the only company in the world 100% focused on cloud and mobile CAD, announced $80 million in new equity financing led by Andreessen Horowitz with participation from existing investors New Enterprise Associates (NEA), Commonwealth Capital Ventures and North Bridge Venture Partners. To date, Onshape has raised $144 million in total funding. Onshape will use the new investment to significantly expand worldwide sales and marketing efforts and increase its R&D and strong customer support.  Read the whole story HERE.

Webinar – Scale up your ANSYS workload in the cloud

OzenCloud-300x209If your compute environment is too small to handle big ANSYS workloads then join us as we discuss OzenCloud and it’s unparalleled performance. This webinar will offer a step-by-step guided presentation to performing ANSYS simulations on our private and secure ANSYS servers. In the first 15 minutes of the webinar, you will learn about OzenCloud’s ANSYS offering. Next 30 minutes will be a step by step, guided demonstration for all participants who are interested in learning how to scale ANSYS on OzenCloud. We will reserve the last 15 minutes for your questions. This webinar is co-organized by Ozen Engineering and UberCloud. To register for this webinar, please visit our registration page below. Join the Webinar on October 7 or 14, 2015, at 11:00AM – 12:00PM PST or another upcoming session.HERE.

Scalable Tool Enables Linux Container, User-defined Image Deployment in HPC Environment

ShifterThe explosive growth in data coming out of experiments in cosmology, particle physics, bioinformatics and nuclear physics is pushing computational scientists to design novel software tools that will help users better access, manage and analyze that data on current and next-generation HPC architectures. Shifter, designed as a scalable method for deploying containers and user-defined images in an HPC environment, was developed at NERSC to improve flexibility and usability of its systems for increasingly data-intensive workloads. It is initially being tested on NERSC’s Edison system — a Cray XC30 supercomputer — by users in particle physics and nuclear physics and will eventually be made available as an open source tool for the general HPC community. Read the whole story HERE.

Cloud computing powers the profitability of wind

WindWind power is a staple renewable energy source that is often described as relying on mature technology. In many ways, this assumption is correct as wind farms pop up across the globe in increasingly diverse and remote locations. But a lot of innovation is going on behind the scenes. Cloud computing is one of the tools that is helping the wind power sector up its game, as David Standingford, lead technologist at the Centre for Modelling and Simulation (CFMS), said: ‘We are seeing movement from most engineering companies to cloud computing as the economics are better and the security of the cloud has improved. Additionally, massive amounts of resources are available cheaply and bandwidth has increased to match the needs of the wind power simulation space. Read the whole story HERE.

Simulation Lifecycle Management’s New Mission

Siemens PLM Software VisualizationThe push to democratize simulation and the spread of design optimization has fundamentally changed simulation lifecycle management (SLM). It may have initially been developed as a version- and history-tracking tool, with some job queue management utilities on the side. But the sheer size of the source files, the number of iterations involved and the simultaneous evaluation of hundreds of design variants quickly transformed SLM’s mission. It’s now tasked with IP (intellectual property) guardianship, process automation, HPC (high-performance computing) management, and remote visualization (for a start). This Desktop Engineering article from Kenneth Wong discusses the impact of the Internet of Things (IoT), System-level Simulation, Big Data, and Cloud Computing on SLM.

Amazon Web Services Spotlights HPC Options

AWS-illustration_c4-instances-199x200Tiffany Trader from HPCwire quotes an interesting white paper just published by the Amazon AWS Cloud team as: “This paper describes a range of high performance computing (HPC) applications that are running today on Amazon Web Services (AWS). You will learn best practices for cloud deployment, for cluster and job management, and for the management of third-party software. This whitepaper covers HPC use cases that include highly distributed, highly parallel grid computing applications, as well as more traditional cluster computing applications that require a high level of node-to-node communications. We also discuss HPC applications that require access to various types of high performance data storage.” See Tiffany’s summary article HERE or download the AWS white paper directly.

The Sky’s the Limit for Cloud Computing

Deskeng1With simulation jobs becoming more complex and taking up more computing power, engineering teams are turning to the cloud to run analyses. In doing so, users can run more simulations without the long-term hardware investment. This is creating greater demand for Software-as-a-Service (SaaS) offerings and new companies catering to a host of different cloud computing needs. Contributing Editor Pamela Waterman from Desktop Engineering takes a look at what is currently available for simulation SaaS and how engineers can successfully implement it into their workflow, HERE.

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