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.
Ohio Supercomputer's Dr. Alan Chalker shares his thoughts on 2020
The Uber Cloud's Wolfgang Gentzsch shares his vision for 2020
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.
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.