This public resource center contains information related to how anyone can easily gain access to HPC resources and expertise.
What is HPC? There are lots of terms that essentially are variations of the same thing: HPC (High Performance Computing), Advanced Modeling, Simulation & Analysis, Technical Computing, Cluster Computing, Parallel Computing. Specifically, these refer to computers at the frontline of current computational processing capacity.
Why would you use HPC? For some situations, experimentation may not be adequate to test theories because things may be too small to see and measure, systems may be too large and remote, or processes can be too fast or too complex. Alternatively, simulations or analyzes may take too long or the size of the data is too large to be contained on a personal computer.
Regardless of your experience level with HPC, in order to fully utilize it, you need access to three main components: hardware, software, and expertise.
HPC Hardware can consist of cloud based resources, small departmental level clusters, or even powerful workstations, etc.. These are available from a variety of vendors, ranging from online ‘pay-as-you-go’ access, to large systems custom designed and installed in dedicated data centers.
CAE software can comprise of things such as solvers, meshers, visualization, and workflow managers, etc.. This software can range from very specialized, open-source packages available at no cost, to more generic commercial packages that can run across a wide scale of domains and resources.
Expertise that is available includes domains such as Computational Fluid Dynamics, Finite Structural Analysis, Bioinformatics, etc. Companies needing expertise often start with external consulting “engineering service providers” who can assist with a specific project, before eventually directly hiring domain experts versed in a variety of technical skills.
Computational Fluid Dynamics (CFD) has proven to be a feasible and faster way of approaching building design virtually. Simulations can be used at multiple stages of a building design starting from microclimate assessment using building massing, selection of ventilation components, occupant comfort assessments, and analysis to check for regulatory compliance.
HPC is now mainstream and no longer an expensive, fringe technology reserved for the most elite scientific organizations.
PMR uses cloud-native engineering simulation to design & develop specialist cooling systems, including radiators & intercoolers, maximizing the intake temperatures & airflow using computational fluid dynamics (CFD) and then verifying the performance of these components before costly in-house fabrication.
We are entering the Age of Insight – a new era that is defined by insights and discoveries that benefit all and that elevate the greater well-being of every human on the planet.
Reducing barriers to entry with cloud-based solutions
A semi-coupled aerothermal analysis of a generic missile geometry was performed with RavenCFD and Velodyne: Heat Transfer Solver.
Data is like the steam power that drove the first Industrial Revolution, the successor to the electrical connections that drove the second one, and the byproduct of the computers that brought about the Digital Revolution.
This blog post shows how simulation helps analyze the effects of using renewable energy sources, decentralized energy management, and changing social behavior on energy consumption.
Rimac Technology engineers were running more and more simulations with an aging, on-premises high performance computing (HPC) cluster. While compute power continued to fall short, the demand for resources continued to grow exponentially.
Learn how you can benefit from cloud-enabled simulation with proven technology from SIMULIA®, including Abaqus, fe-safe, and CST.
In this eBook, you’ll discover the numerous advantages offered by HPC in the cloud, and how it grants engineers access to the right computing resources necessary for running compute and data-intensive computer simulations.
Initially, Rimac developed its own internal HPC cluster to provide the computing resources and storage it needed to innovate and iterate its products. However, as Rimac grew, it required greater scale and more powerful computing. Migrating workloads from its internal cluster to the cloud offered the prospect of improving simulations and models, adding greater complexity to those models, and doing it all faster.
UberCloud President, Wolfgang Gentzsch dives into seven cost savings (resp. increasing ROIs), in the HPC Cloud.
Watch this podcast from OnScale.
Thanks to the HPC environment in Azure CycleCloud, we’re in a position to draft cluster configurations that perfectly match our needs in next to no time.
Google Cloud Platform (GCP) recently introduced a new compute optimized VM based on 3rd generation AMD EPYCTM processors called C2D. C2D instances provide the largest VM sizes within the Compute Optimized VM family and are best suited for HPC workloads.
With many organizations redefining the future of work and collaboration, cloud-enabled teams and tools are increasingly the lifeblood of business continuity.
UberCloud and Microsoft collaborated with a blended FLSmidth team, bringing the company’s engineering teams the performance and collaboration gains they need for continuing success.
The Digital Twin provides a collaborative framework and the necessary design tools to drive informed, real-time decisions regarding thermal risk and capacity utilization. 6SigmaDCX Release 15 streamlines data center design and management with new big data features, faster model creation and automation across the board.
In this special guest feature, Wolfgang Gentzsch from the UberCloud describes how engineers can perform work from home in the same way they do at their offices, while maintaining or even increasing productivity.
When Buro Happold needs to create complex models to help ensure safety, sustainability, and performance for its buildings and other spaces, it turns to Microsoft Azure high-performance computing (HPC) using Intel® Xeon® processors.
In this article (Page 34), UberCloud presents two aerodynamics case studies dealing with cloud-based services for engineering-specific applications and use cases that objectively demonstrate the progress of cloud computing in the aerodynamics sector over the past few years.
This white paper discusses how synthetic datasets for training AI can be generated in hours using the OnScale cloud simulation platform. The demonstrated approach of using synthetic datasets to train AI networks can drastically reduce cost, risk, and time for the development of new hardware technologies.
In this article (Page 34), UberCloud presents two aerodynamics case studies dealing with cloud-based services for engineering-specific applications and use cases that objectively demonstrate the progress of cloud computing in the aerodynamics sector over the past few years.
Ohio Supercomputer's Dr. Alan Chalker shares his thoughts on 2020
The Uber Cloud's Wolfgang Gentzsch shares his vision for 2020
UberCloud presents two aerodynamics case studies using cloud-based services with Ansys CFX and Fluent for engineering applications, as well as use cases that demonstrate the progress that has been made in cloud computing for the aerodynamics sector over the past few years.
Wolfgang Gentzsch, president and co-founder of the UberCloud and Rev-Sim Moderator shares his thoughts on the coming years in this MCADCafe article.
Fast and Cost-Effective Compressor Map Generation using Cloud-Based CFD
In this article (page 35), the first in a series, UberCloud presents a series of case studies of cloud-based services for engineering-specific applications and use cases that objectively demonstrate the progress of cloud computing in this sector over the past seven years.
TotalSim US: Truck Add-On Predictor
Virtual Testing of Severe Service Control Valve with Autodesk CFD in the AWS Cloud
On page 40 is the second part of an article presenting a selection of case studies dealing with engineering simulation in the cloud using ANSYS software LS-DYNA, HFSS, and ANSYS Discovery Live; the first part appeared in the previous edition of the EnginSoft magazine and presented case studies based on ANSYS CFX and Fluent.
Wolfgang Gentzsch, president and co-founder of the UberCloud and Rev-Sim Moderator shares his thoughts on the coming years in this MCADCafe article.
Fast and Cost-Effective Compressor Map Generation using Cloud-Based CFD
TotalSim US: Truck Add-On Predictor
Virtual Testing of Severe Service Control Valve with Autodesk CFD in the AWS Cloud
Afton Chemical Corporation HPC Case Study: Fluid Performance
Coupling in-house Finite Element code with Ansys Fluent
HPC Case Study Valve Design: Clippard Instrument Laboratory had a proportional valve that was not delivering consistent performance. See how Democratizing HPC was able to help.
Case Study: Gas Liquid Two-Phase Flow Application - Evaluation of gas rate due to liquid flow in energy plant liquid storage facility
Developing efficient processes to gain critical information to test aerodynamics and analyze racing behavior on various tracks keeps NASCAR ahead of the curve.
Democratizing HPC Case Study: CFD Analysis of a V6 Intake Manifold with STAR-CCM+
Ohio Supercomputer Center Case Study on Pallet Design
Case Study – Dielectric Heating of an Insulated Block
Rev-Sim Coffee Break Webinar Series. Democratizing HPC Part 10
Rev-Sim Coffee Break Webinar Series. Democratizing HPC Part 9
Trying to decide when to use GPUs on HPC? Check out this whitepaper!
Democratizing HPC – Part 8: Welding Simulation
Rev-Sim Coffee Break Webinar Series. HPC (High Performance Computing) Part 7: Democratizing HPC - CFD Modeling of ABB Transformers
Democratizing HPC. Ohio Supercomputer Case Study: Aircraft Design
ANSYS Cloud delivers on-demand cloud HPC access within the ANSYS portfolio to democratize simulation.
A RevSim virtual coffee break short video featuring a Greenlight Optics Case Study.
A RevSim virtual coffee break short video highlighting the virtual modeling and simulation of pharmaceutical production tank mixers by ANSYS.
Case study showcasing the democratization of HPC services and resources for everyday business purposes.
Rev-Sim Coffee Break Webinar Series. HPC (High Performance Computing) Part 1: Series Introduction
Gartner, Inc. predicts that by 2019, the analytics output of business users with self-service capabilities will surpass that of professional data scientists.
The Ohio Supercomputer Center’s (OSC) Karen Tomko, Ph.D., and the University of Illinois/Urbana’s Robert Dodds, Ph.D., recently wrapped up a project that will greatly enhance the simulation capabilities of manufacturing engineers.
The University at Buffalo Center for Computational Research (CCR) is expanding its super-computing capability with new grants. The center will use the awards to purchase advanced computing equipment that will triple its computing power, enabling it to better support new and existing businesses in advanced manufacturing, the life sciences and other industries.
UberCloud's Wolfgang Gentzsch and Burak Yenier discuss the role of the Cloud in democratizing simulation in this Digital Engineering article.
HPCWire recently summarized many of the issues facing HPC users that want to utilize commercial could vendors
More detailed and faster simulation with high-performance cloud computing.
Bruce Jenkins discusses the future of High Performance Cloud Computing.
Supercomputing or High-Performance Computing (HPC) you can use for the duration of a project.
Alan Chalker from Ohio Supercomputer Center and Lee Margetts from simulation industry association NAFEMS join DE’s editor Kenneth Wong for the roundtable talk on supercomputing.
Digital Engineering's Beth Stackpole recaps the AweSim initiative.
Comet Solutions’ Simulation Applications (SimApps™) will be available on the cloud through a partnership with the Ohio Supercomputer Center (OSC) via the OSC AweSim initiative.
Engineering.com's John Hayes explains that - when it comes to simulation - its time to get your head in the clouds.
UberCloud has successfully completed six rounds of cloud experiments over the past few years. The case studies can be found online at their website as annual compendiums.
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AweSim has several dozen case studies that document clients use of HPC resources. These include sectors such as advanced manufacturing, automotive, aerospace, bio-health, food processing and logistics.