Reduce Your Simulations Time and Costs

Two thirds of engineering teams are predicting that they will require a 10x increase in modelling performance over the next 5 years. Doing so economically will separate competitive firms from the non-competitive. These engineers need access to high-performance software and high performance computing equipment in order to meet these growth expectations.

Our CFD solver, EXN/Aero, outperforms traditional solvers by an order of magnitude. EXN/Aero is the first on-demand HPC CFD solver. It has similar capabilities (engineering models & physics) as other general purpose solvers, but is built on top of our proprietary core solver. It helps you be more competitive and productive while minimizing expenses.

Low Cost & Fast

Reduce your simulation times by 10-20x

Deliver higher resolution models to clients

Reduce your simulation prices for customers

Cloud Based

Provision compute resources on the fly

Stay current with latest hardware

Avoid paying for cluster maintenance

On-Demand

Improve cash-flow using pay per use

Grow quickly with projects

Grow without additional license seat or compute hardware costs

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Everything you need to speed up your engineering simulations.

Engineering Models

  • LES/DES/RANS

  • Steady State & Unsteady State

  • Synthetic turbulence generation for LES

  • Time Parallelization

  • Unsteady-RANS turbulence modeling

  • Direct quadrature dispersed phase

  • Ideal gas models, buoyancy

  • Heat transfer

  • High speed & compressible flow

  • Buoyancy driven flows

  • Overset mesh

  • Hybrid mesh topology – structured / unstructured

  • Mixed mesh precision – single/double

  • CGNS database format for input & output

  • 3rd party meshing software compatibility through CGNS format (Pointwise, ICEM Hexa/Tetra, enGrid)

  • Dynamic load balancing and resource usage optimization

  • Data output in VTK & CGNS format

A High Performance CFD Solution

EXN/View is our interface. It integrates simulation set up & monitoring tools and is designed to work with the CGNS database structure. EXN/View is built on open-source tools and we make the source code freely available to clients & customers that want to pursue their own in-house development or customization.

The image below is the simulation set up utility displaying a mesh for a cylinder in cross-flow.

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Our patented cell & interface design subdivides simulation tasks into two classes of objects– cells and interfaces. This allows us to be much more flexible and creative in the parallelization scheme.

  • Cell objects contain the CFD mesh and represent the bulk of the computational load. Cells might contain structured or unstructured mesh and use single or double precision.
  • Interface objects are multifunction data tranformation utilities with many uses, including boundary condition input, cell-to-cell communication, reduction of output data, addition of source terms and interpretation of real-time sensor inputs.

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In a manycore computing environment, all devices operate on tasks concurrently, and not all architectures are equally good at every computing task.

Task allocation considers the strengths & weaknesses of different processor types. Bulky cell operations are often computed on GPU devices where the thousands of simple processors and fast memory make short work of the job. CPU devices coordinate the simulation and handle the more complex interface tasks.

Resources are not bound to a single task and so multiple simulations can run simultaneously on a single CPU/GPU resource. This concept improves productivity for teams of engineers sharing a compute resource, and lies at the heart of our space & time parallelization.

task allocation

Most CFD solutions enable users to reduce processing time by using multiple processors. The domain is divided in as many chunks as there are available processing cores, and each core is given a chunk to compute. Spatial decomposition speeds things up compared to serial processing, but is expensive to scale up.

Our space-time parallelism approach divides the domain in both space and time. Several instances of a spatially-parallelized domain are started simultaneously on the same CPU/GPU machine, where each instance is a “time slab” of the total simulation time window. Time slabs are computed concurrently, and communicate with each other via a predictor-corrector algorithm. An extra multiplier of 2x – 3x is possible using this layered parallelism approach.

As always, we believe users shouldn’t have to pay to work on challenging CFD problems. Space-time parallelization is a standard feature in EXN/Aero.

Spacetime

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