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UberCloud Voice December 2015

UberCloud Introduces New Service – Building ‘Software as a Service’ for Software Providers

Containers 1UberCloud has successfully built Software as a Service (SaaS) solutions for software from ANSYS, CD-adapco, COMSOL, NICE, Numeca, OpenFOAM, and others, based on our production-ready ubiquitous UberCloud Containers. Key benefits for software providers are Portability: build container images once, deploy them rapidly everywhere; Low Overhead: run at high performance levels comparable to bare-metal; Scalability: deploy containers on multiple hosts to increase performance; Ubiquity: package once, run everywhere, on workstations, clusters, private & public clouds; Rapid Deployment: simplify & compress deployment time of HPC applications; Automated Maintenance & Support: distribution of fully tested software containers instead of conventional software distribution. Read SaaS service details for software providers HERE.

Team 182 Experiment – ABB Uses Microsoft Azure and UberCloud Containers for CFD Simulations

Team 182 ABBThis ABB case study is optimizing dry-type transformers, using OpenFOAM CFD to simulate the heat transfer of a dry-type transformer unit with different dimensions. In this way, the temperature rises can be evaluated and compared, directing a way to optimize the transformer design in terms of thermal performance. The computations were performed on a 10 node cluster in the Azure Cloud, where eight compute nodes were equipped with dual socket Intel(R) Xeon(R) CPU E5-2670, giving a total count of 128 cores and 1TB of RAM. The nodes were connected with 40Gbit/s InfiniBand with remote direct memory access (RDMA) technology. Read the UberCloud Experiment case study HERE.

FIDESYS SimForDesign Available on Onshape App Store

FidesysUberCloud partner Fidesys, a provider of Finite Element Analysis, has added its SimulationForDesign to the Onshape App Store, giving Onshape users access to cloud CAE capabilities, allow them to examine parts performance throughout the design process. SimForDesign offers linear stress analysis directly within Onshape. Users don’t have to worry about computational resources — SimForDesign allocates everything automatically in the Cloud. The SimForDesign billing system is simple and straightforward basing usage on the actual CPU time, not the time spent setting up a simulation. Read the Desktop Engineering article HERE.

Towards HPC on Demand – ClusterVision Trinity runs UberCloud HPC application containers

TrinityTrinity is ClusterVision’s private cloud solution, a complete HPC cluster manager on top of a cloud platform managing HPC, general IT, and Big Data, bringing the flexibility of Platform-as-a-Service to HPC. At the CIUK 2015 Docker User Group in Coventry, UK, ClusterVision & UberCloud demonstrated Trinity by running UberCloud containers on a virtual HPC cluster. Real-time access & use of an UberCloud container were shown, loaded with a complete virtual desktop, a fluid dynamics OpenFOAM application, the application data, and resulting data analyzed interactively through remote visualization. The announcement is HERE.

Trinity is ClusterVision’s private cloud solution, a complete HPC cluster manager on top of a cloud platform managing HPC, general IT, and Big Data, bringing the flexibility of Platform-as-a-Service to HPC. At the CIUK 2015 Docker User Group in Coventry, UK, ClusterVision & UberCloud demonstrated Trinity by running UberCloud containers on a virtual HPC cluster. Real-time access & use of an UberCloud container were shown, loaded with a complete virtual desktop, a fluid dynamics OpenFOAM application, the application data, and resulting data analyzed interactively through remote visualization. The announcement is HERE.

Simulation 20/20: The Next 5 Years – Business, Technological, and Human Enablers Driving the Change

NAFEMS WebinarsIn the last 10 years we have witnessed significant advancements in engineering analysis and simulation, the potential of which are not often realized due to factors like accessibility, usability, confidence. However, there are still many questions: What’s the future for engineering analysis and simulation? What factors are constraining growth potential? How can we realize its full potential? Where will it lead us in the next decade? To help address these questions, NAFEMS hosts a year-long program of webinars focused on three major topic areas: Democratization, Business Governance, and Business Challenges. The presentations can be found HERE.

Microsoft introduced Azure Container Service

Microsoft AzureAzure Container Service (ACS) simplifies the creation, configuration, and management of a cluster of virtual machines preconfigured to run containerized applications. Using open-source scheduling and orchestration tools, ACS enables you to deploy and manage container-based applications on Azure. ACS leverages Docker to ensure that your app containers are fully portable. It also supports your choice of Marathon, Chronos and Apache Mesos or Docker Swarm to ensure that these apps can be scaled to thousands, even tens of thousands of containers. Read announcement HERE. Note: UberCloud offers containerized engineering simulation apps on the Microsoft Azure Marketplace.

EGI-UberCloud Partnership – Bridging Research and Innovation

EGIEGI is proud to announce a collaboration with UberCloud based on a shared vision to embrace distributed computing, storage and data related technologies. The agreement is grounded on a joint commitment to increase IT resources in order to speed up time to market and enable development and innovation of new and more competitive products and services. EGI is a federation of more than 350 resource centres across 50 countries, with a mission to enable innovation and new solutions for many scientific domains to conduct world-class research and achieve faster results. EGI provides more than 40,000 users with both technical and human services, from compute, storage and data management, to consultancy and support. Read the collaboration details HERE.

Team 180 Experiment – CFD SpeedIT Solver on GPUs in the Cloud

Team 180 GPUsThis case study from Team 180 is about benchmarking SpeedIT Flow™, one of the fastest Computational Fluid Dynamics implicit single-phase flow solvers currently available. In contrary to other solutions a Semi-Implicit Method for Pressure Linked Equations (SIMPLE) and the Pressure Implicit with Operator Splitting (PISO) algorithms have been implemented on graphics processing unit (GPU). The software is particularly useful in acceleration of time-consuming external and internal flow simulations, such as aerodynamics studies in car and aviation industries. SpeedIT has been benchmarked in the cloud, on Ohio Supercomputer Center resources, and performance  compared for CPUs versus GPUs, for applications AeroCar, SolarCar, Motorbike, and  DrivAer. Read the UberCloud Experiment case study HERE.

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