| Our primary computational resource is an indigenous 400-processor x86 Linux cluster. The system provides 14 Terabytes of data storage, 400 Gigabytes of RAM, an Infiniband high-speed interconnect, and over 3-million cpu-hours annually. Current capability permits routine in-house calculations on problems with 50 million or more elements. Continued expansion of the facility is ongoing and is expected to reach 1000 processors within the next few years.
In addition to the supercomputer, various 64-bit workstations for large-scale grid generation and scientific visualization are maintained in-house.
Computational Resource
Our customers have come to expect accurate high fidelity computational solutions conducted in a timely manner. At Corvid we understand that our primary tool is our in-house supercomputing assets. We have developed a strategy and per-CPU pricing system that makes us one of the best return on investment super-computing facilities available. Currently, our analysts have 400 processors available in massively parallel high-performance computing systems. Investment strategies are expected to take this to over 1000 processors within a few years. Our current system affords us the ability to run full three-dimensional CFD and shock physics simulations with 10 to 100 million elements while still providing quick-turnaround time-accurate solutions.
RavenCFD
RavenCFD is a massively parallel, arbitrary polyhedral, Navier-Stokes solver developed by Corvid Technologies for the prediction of complex three-dimensional flowfields. Its fully implicit time integration scheme, combined with Newton subiterations, yields accurate, robust solutions for both steady and unsteady flows. Raven’s scalability has been demonstrated up to thousands of processors on distributed-memory systems, meaning that problem size is limited by the computer and not the code. The code has been utilized for a variety of high- and low-speed problems.
Raven is distributed with a suite of tools to improve the entire analysis process. These tools include grid-generation aids to reduce element count, improve element distribution, and increase overall element quality, as well as post-processing tools to permit rapid parametric analysis and comparison of code results.
New features currently under development include:
- An advanced Virtual Geometry Insertion (VGI) algorithm to permit rapid changes to the problem geometry.
- A 6-degree-of-freedom module to move VGI bodies through the domain based on computed forces and moments.
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