A new site developed by Tin H compares the HPC virtualization capabilities of Docker, Singularity, Shifter, and Univa Grid Engine Container Edition. “They bring the benefits of container to the HPC world and some provide very similar features. The subtleties are in their implementation approach. MPI maybe the place with the biggest difference.”
In this special guest feature, Cydney Ewald Stevens writes that Salt Lake City will soon host the return of the SC conference along with the third annual StartupHPC Workshop. “People come together at StartupHPC to learn from each other,” said founder Shahin Khan. “These are all leaders in their own right. From successful CxO’ and serial entrepreneurs to industry influencers these leaders come together each year to impart their wisdoms and experiences, share their own ‘journeys’ and help others prosper as a result.”
In this video from the Microsoft Ignite Conference, Tejas Karmarkar describes how to run your HPC Simulations on Microsoft Azure – with UberCloud container technology. “High performance computing applications are some of the most challenging to run in the cloud due to requirements that can include fast processors, low-latency networking, parallel file systems, GPUs, and Linux. We show you how to run these engineering, research and scientific workloads in Microsoft Azure with performance equivalent to on-premises. We use customer case studies to illustrate the basic architecture and alternatives to help you get started with HPC in Azure.”
In this special guest feature from Scientific Computing World, Wolfgang Gentzsch explains the role of HPC container technology in providing ubiquitous access to HPC. “The advent of lightweight pervasive, packageable, portable, scalable, interactive, easy to access and use HPC application containers based on Docker technology running seamlessly on workstations, servers, and clouds, is bringing us ever closer to the democratization of HPC.”
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.