UberCloud Compendiums

Compendium Of OpenFOAM CFD Case Studies

In this Compendium you will find 11 CFD case studies using the open-source solver OpenFOAM or enhanced (partially commercialized) versions of it, summarizing HPC Cloud projects UberCloud has performed together with the engineering community over the last years.

Compendium of Finite Element Analysis Case Studies, 2012-2018

In this compendium, you will find a collection of 18 Finite Element Analysis (FEA) projects and case studies performed in the last few years. This collection features FEA studies across various industries, including Automotive, Aerospace, Electronics, Life Sciences and examples of using FEA solvers such as ANSYS, Abaqus, LS-Dyna, Comsol, and more in the Cloud.

Case Studies in Computational Fluid Dynamics, 2014 - 2019

Computational Fluid Dynamics (CFD) is widely used in the engineering community to simulate all kinds of fluid flow phenomena, be it just fluid flow, or be it in a multi-physics scenario coupled with other physics solvers like e.g. with Finite Element Analysis (FEA) of material behavior (like in an airplane wing design), or even more complex fluid-structure-electrical simulation of a living heart.

UberCloud Container Compendium, 2015-2018

For this UberCloud Container Compendium we have selected 21 case studies from engineering cloud projects which all used UberCloud’s novel HPC container technology. The objective is to demonstrate the wide applicability of Docker based HPC containers for really complex engineering and scientific applications, on different single- and multi-node cloud infrastructures.

ANSYS Case Study Compendium, 2012 - 2018

This ANSYS Case Studies Compendium is an invaluable resource for engineers, scientists, managers and executives who believe in the strategic importance of Technical Computing as a Service.

You'll find a collection of 25 selected case studies written by the participants of the UberCloud HPC Experiment and featuring ANSYS codes such as Fluent, CFX, HFSS, LS-DYNA and Discovery Live in the cloud.

UberCloud Compendium Five, 2018

The Annual UberCloud Compendium of Case Studies is out! This is the 5th edition of this set of case studies relating to the world of Technical Computing. This year's collection features case studies based on 13 select UberCloud Experiments, and the whole project is sponsored once again by Hewlett Packard Enterprise and Intel.

The-UberCloud-Experiment-2016-compendium-graphic

UberCloud Compendium Four, 2016

This document is an invaluable resource for engineers, scientists, managers and executives who believe in the strategic importance of Technical Computing as a Service, in the Cloud, for their organization. It is a collection of 18 selected case studies written by the participants of the UberCloud HPC Experiment.

UberCloud Compendium Three, 2015

This document is an invaluable resource for engineers, scientists, managers and executives who believe in the strategic importance of Technical Computing as a Service, in the Cloud, for their organizations. It is a collection of selected case studies written by the participants in Rounds 5 – 7 of the ambitious UberCloud HPC Experiment.

UberCloud Compendium Two, 2014

This document is an invaluable resource for engineers, scientists, managers and executives who believe in the strategic importance of Technical Computing as a Service, in the Cloud, for their organizations. It is a collection of selected case studies written by the participants in Rounds 5 – 7 of the ambitious UberCloud HPC Experiment.

Compendium 1, 2013

This document is an invaluable resource for engineers, scientists, managers and executives who believe in the strategic importance of Cloud HPC. It is a collection of selected case studies written by the participants in Rounds 1 - 4 of the ambitious UberCloud HPC Experiment.

Advania Cloud HPC Case Studies

UberCloud and Advania have helped manufacturers to move (part of) their engineering workload to the Advania Data Centers Cloud.

Advania is a great option for them because of its excellent HPC bare-metal performance and high scalability (up to hundreds of compute cores).

Exploring Life Sciences In The Cloud, 2018

By downloading this compendium, you will get access to a collection of case studies within the life sciences.

Democratization of CAE, 2018

These four UberCloud case studies demonstrate the growing acceptance of Computer Aided Engineering (CAE) and how a US law firm applied multi-physics building simulations using HPC to prove building defects at a client’s property, a class of ninth-graders in Norway designed and built a flying boat with a novel CAE software, and more...

Big Compute in the Microsoft Azure Cloud, 2018

This compendium of case studies describes implementation and use of technical computing applications on the Microsoft Azure Cloud. These case studies have been selected from a wide set of UberCloud experiments performed over the last four years, with applications in the areas of computer aided engineering, life sciences, oil & gas, and financial services.

Siemens STAR-CCM+ In The Cloud, 2018

Much more than just a CFD code, STAR-CCM+ is a complete multidisciplinary platform for the simulation of products and designs operating under real-world conditions. In order to design better products, engineers need to predict the consequence of any design changes on the real-world performance of their product, for better or for worse.

UberCloud Compendium - Artificial Intelligence, 2018

This 10th UberCloud* Compendium is our first one dealing with AI, in an introductory and educational way. For helping (again) to educate our engineering community in this relatively young field of AI in Engineering we have selected three use cases, about predictive maintenance and computational fluid dynamics.

Exploring GROMACS in the Cloud, 2018

For this UberCloud Compendium, Exploring GROMACS in the Cloud, we have selected 2 case studies from the Life Sciences, dealing with GROMACS molecular dynamics simulations. In this compendium, you will read the results of the two research teams, their applications, findings, challenges, lessons learned, and recommendations.