Adaptive Flux Calculation Scheme in Advection Term Computation Using Partial Reconfiguration

Mohamad Sofian Abu Talip, Takayuki Akamine, Mao Hatto, Yasunori Osana, Naoyuki Fujita, Hideharu Amano


In aerospace industry, computational fluid dynamics (CFD) is used as a common design tool. Fast Aerodynamics Routines (FaSTAR) is one of the most recent CFD software package, convenient for users with various solvers and automatic generation of grid data. The problem of FaSTAR is hard to be executed in parallel machines because of its irregular and unpredictable data structure. Exploiting reconfigurable hardware with their advantages to make up for the inadequacy of the existing high performance computers had gradually become the solutions and trends. However, a single FPGA is not enough for the FaSTAR package because the whole module is very large. Instead of using a large number of chips, partially reconfigurable hardware available in recent FPGAs is explored for this application. Advection term computation module in FaSTAR is chosen as a target subroutine. We proposed a reconfigurable flux calculation scheme using partial reconfiguration technique to save hardware resources to fit in a single FPGA. We developed flux computational module and three flux calculation schemes are implemented as reconfigurable modules. This implementation has advantages of up to 42% resource saving and enhancing the configuration speed by 6.28 times. Performance evaluation also shows that 2.65 times acceleration is achieved compared to Intel Core 2 Duo at 2.4GHz.



Computational Fluid Dynamics (CFD); Field-Programmable Gate Array (FPGA); Scientific Computation; Reconfigurable Hardware; Partial Reconfiguration

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