Xplicit Computing Objective Massively-Parallel Unified Technical Environment
In 2014 we began work on a revolutionary new computing platform  -- to meet 21st Century challenges in science & technology...

Facilitating teams through concept, preliminary, critical design, and manufacture stages.


1. Organize complex systems using generic building-blocks.

2. Assign geometries and models (comprised of algorithms).

3. Connect and couple results across teams and disciplines.

4. Refine and improve systems fidelity as needed.

systems can contain sub-systems, visualized as a tree


Modern analyses require systems interact over wide space-time scales and with increasing topological complexity. State-of-art software abstractions provide a way to divide each problem and integrate as part of the whole. Algorithms then call upon varying geometry types and runtime behavior is redirected to take advantage of key characteristic optimizations by type, yielding up to 50x performance benefit.

explicit topology and implicit signed-distance fields


Continuous Galerkin Finite Element Method (FEM-CG) accurately and quickly solves steady-state and time-varying analyses, supporting structural, thermal, and continuum multi-physics. Ground-up algorithms utilize ViennaCL solvers that run on any device - including GPU!

local stresses on complex structures and components


Sophisticated compressible and incompressible CFD capabilities are based on Finite Volume (FVM), Finite Difference (FDM), and Lattice-Boltzmann methods (LBM). A modular approach to algorithms enables natural inclusion of viscid, inviscid, heat transfer, and turbulence modeling on any device!

real-time conservation-based transport and state equations

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