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UberCloud Voice November 2016

The UberCloud Compendium of Case Studies is Coming in December !

Compendium 2016Now in its 4th annual edition, this 2016 UberCloud Compendium of 18 engineering cloud case studies will again be published in December, demonstrating another milestone towards the democratization of High Performance Computing (HPC) applied to engineering and scientific application simulations. HPC is still widely recognized as a complex computing tool which is mastered by a relatively small and eluded crowd of supercomputing experts who apply HPC to sophisticated fields of applied mathematics, physics, chemistry, life sciences, energy, weather and climate, and more. Supported by UberCloud’s novel software container technology, the various teams have tackled complex tasks, ranging from acoustic modelling and simulating dry-type transformers to air flow through an engine intake and the simulation of wind turbines, to thermal modelling of a reactor. HPE and Intel are involved in these UberCloud HPC Experiments again as Sponsors. Both have a strong and long-term HPC private and public cloud strategy, with the goal of helping hundreds of thousands of enterprises take full advantage of the benefits of HPC, including those stemming from the UberCloud HPC Experiments.  Watch out for the announcement of the 2016 UberCloud Compendium !

A Container for HPC – Docker, UberCloud, Shifter, and Singularity

AdminContainers have become an important part of the IT industry because they are more efficient than full (hardware-level) virtualization, and they dramatically improve software packageability, portability, access and use of application software and tools, and software support and maintenance. In his Admin-Magazine article, Jeff Layton explains the difference between virtual machines versus Linux containers and differentiates between ‘hardware-level virtualization’ and ‘operating system virtualization’. Jeff Layton writes that “In this article, I want to highlight two approaches to using containers in HPC. The first approach is UberCloud, which was started as “the online community and marketplace where engineers and scientists discover, try, and buy Computing as a Service.” It is where scientific applications can be performed in the cloud and where customers can purchase compute cycles. The second approach is NERSC’s Shifter (and Singularity), a container system for HPC that converts images from Docker, VMs, or CHOS to a common container format. Read more details HERE

FlyElephant Collaborates with HPC-HUB for High Performance in the Cloud

FlyElephantFlyElephant announced a collaboration with HPC HUB, a developer of complex software and hardware solutions in high performance computing. Now entering its second year, FlyElephant is a platform for data scientists, engineers and researchers that accelerates their work and improves their business by automating data science and engineering simulation tasks. “During this past year, the FlyElephant system has been used by more than 1000 users, which allowed us to collect a large amount of feedback and to understand how to improve the platform in the future,” said FlyElephant CEO Dmitry Spodarets. “This community is an integral part of the platform, which consists of partner companies and individual experts who are ready to help in solving complex tasks. Together we are building new solutions based on FlyElephant platform and invite everyone to join us.” Read the FlyElephant Announcement on insideHPC.

The State of HPC Cloud in 2016

The-Next-Platform-Final-Cubes2Nicole Helmsoth, co-founder and co-editor of The Next Platform announces the first book from Next Platform Press, titled “The State of HPC Cloud: 2016 Edition.” The printed book will be available on Amazon.com and other online bookstores in December, 2016. The editors and creators of The Next Platform have followed closely key trends in both high performance computing and cloud infrastructure over the last several years and believed it was time to condense thoughts and stories to bring better clarity about the rate of adoption, infrastructure availability, software licensing, and other trends. The behemoths of the IT industry have been talking about running HPC simulations and models in a utility fashion for a lot longer than we have been calling it cloud computing. And the irony is that this is still, despite all of the compelling arguments in favor of HPC in the cloud, a nascent market and one that defies easy qualification and quantification. Read an introduction into this book at The Next Platform.

What’s Happening to Cluster Computing?

Final-UberCloud-Marketplace-velocity-magnitudeWhat we call cloud computing today is rentable time on a massive array of servers, available on demand from any location. Cloud technology is moving to the forefront, offering computing as a utility, not an infrastructure investment. This new wave of computing raises new questions: What happens to on-site cluster computing? Is the democratization of local resources ending with the move to off-site cloud? What happens to existing high-performance computing (HPC) installations? In his Digital Engineering article Randall Newton picks two companies he believes are contributing strongly to the new trend of “democratized HPC as the new normal”; UberCloud with its application software containers, and Bright Computing with their dashboard approach to cluster deployment and management.

Cloud HPC Makes Simulation-Driven Design Optimization More Accessible

Team 187 - 2new wave of young, visionary organizations and initiatives is making the power of cloud HPC (high-performance computing) resources readily available and accessible to engineering simulation and optimization software users–including many who could never before afford anything close to the full computing horsepower they needed and wanted to run those applications. Among those companies are Rescale, SimScale, UberCloud, and AweSim. AweSim Director Dr. Alan Chalker explains the mission: “Simulation-driven design replaces physical product prototyping with less expensive computer simulations, reducing the time to take products to market, while improving quality and cutting costs. Smaller manufacturers largely are missing out on this advantage, because they cannot afford to leverage such solutions. We aim to level the playing field, giving the smaller companies equal access.” Read more about these four innovators in Bruce Jenkins Digital Engineering article.

The Democratization of HPC

Stewart_BibleComputational engineering and simulation tools, coupled with high-performance computing (HPC), offer an extraordinary opportunity for users to design better products, reduce time to market, streamline manufacturing, lower the cost of innovation and develop next-generation technologies that may otherwise be impossible. While supercomputing has been around since the 1960s, significant cost and ease-of-use barriers have prevented everyday scientists and engineers from accessing its power. The rise of the Internet has spawned a whole new era in distributed computing that has driven down the cost of components and commoditized the business of HPC. Simulation software vendors are adapting to this changing landscape with new software licensing models and platforms that will enable small- and medium-size companies to tap into the power of HPC-driven simulation cost-effectively. In his Engineering.com article Steward Bible discusses these opportunities and how you can plan your own HPC strategy.

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