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Fast simulation of incompressible fluid flows is necessary for simulation-based design optimization. Traditional Computational Fluid Dynamics techniques often don't exhibit the necessary performance when used to model large systems, especially when used as the energy function in order to achieve global optimization of the system under scrutiny. This paper maps an implementation of the Stable Fluids solver for Fast Fluid Dynamics to Intel's Single-ship Cloud Computer (SCC) platform to understand its data communication patterns on a distributed system and to verify the effects of the on-die communication network on the algorithm's scalability traits.
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