In this special guest feature from Scientific Computing World, ISC’s Nages Sieslack highlights a convergence of technologies around HPC, a focus of the ISC High Performance conference, which takes place June 19-23 in Frankfurt. “In addition to the theme of convergent HPC technologies, this year’s conference will also offer two days of sessions in the industry track, specially designed to meet the interests of commercial users. Our focus is Industrie 4.0, a German strategic initiative conceived to take a leading role in pioneering industrial IT, which is currently revolutionizing engineering in the manufacturing sector.”
“UberCloud specializes in running HPC workloads on a broad spectrum of infrastructures, anywhere from national centers to public Cloud services. This session will be review of the learnings of UberCloud Experiments performed by industry end users. The live demonstration will cover how to achieve peak simulation performance and usability in the Cloud and national centers, using fast interconnects, new generation CPU’s, SSD drives and UberCloud technology based on Linux containers.”
Today the UberCloud announced plans to support independent software vendors (ISVs) in Computer Aided Engineering (CAE) with its new go-to-cloud service for the Microsoft Azure cloud platform. The service consists of containerizing the software provider’s software, developing a Software as a Service (SaaS) cloud business model, utilizing and tuning the ISV’s application software on Azure, testing and evaluating the cloud offer, and conducting marketing and sales initiatives together with the ISV.
Over at the UberCloud, Wolfgang Gentzsch writes that, despite the ever increasing complexity of CAE tools, hardware, and system components engineers have never been this close to ubiquitous CAE as a common tool for every engineer.
In this video, David Bolton from Slashdot Media looks at the costs of running high-powered servers in the Cloud from three providers: AWS, Google and Microsoft. The Cloud computing services are compared by price, capability and available features.
Today the UberCloud announced a collaboration with EGI based on a shared vision to embrace distributed computing, storage and data related technologies. As a federation of more than 350 resource centers across 50 countries, EGI has a mission to enable innovation and new solutions for many scientific domains to conduct world-class research and achieve faster results.
Today NUMECA announced that its complete suite of CFD software powered by UberCloud application software containers are now available as a service in any cloud.
Until recently it was my firm belief that cloud computing for engineering applications is one of the next big challenges we have to solve,” said Professor Charles Hirsch, President and founder of NUMECA International, and world-renowned expert on Computational Fluid Dynamics. “But when we came across UberCloud’s new application container technology and containerized all our CFD software packages we were surprised about the ease of use and access to any computing system on demand.”
Today the UberCloud announced a complete management and execution environment for UberCloud Application Containers powered by Univa Grid Engine Container Edition. Now, popular commercial and open source technical applications are available in ready-to-execute packages of software designed to deliver the tools that engineers need to complete their task in hand.
An Iceland-based “HPC in the Cloud” company called Advania has published an interesting case study with The Ubercloud, and online community and marketplace where engineers, scientists, and their service providers discover, try, and buy Computing Power and Software as a Service, from Cloud Resource and Software Providers around the world.
The UberCloud has published their 3rd Compendium of HPC Cloud Case Studies. Like its predecessors in 2013 and 2014, this year’s edition draws from a select group of projects undertaken as part of the UberCloud Experiment. “Our efforts are paying off. Based on the experience gained over the past several years, we have now increased the success rate of the individual experiments to almost 100%, as compared to 40% in 2013 and 60% in 2014.”