S-Space College of Engineering/Engineering Practice School (공과대학/대학원) Dept. of Mechanical Aerospace Engineering (기계항공공학부) Journal Papers (저널논문_기계항공공학부)
고차 정확도 수치기법의 GPU 계산을 통한 효율적인 압축성 유동 해석
EFFICIENT COMPUTATION OF COMPRESSIBLE FLOW BY HIGHER-ORDER METHOD ACCELERATED USING GPU
- 김종암; 장태규; 박진석
- Issue Date
- 한국전산유체공학회지 Vol.19 No.3, pp. 52-61
- 공학; 전산유체역학; 압축성유동; 고차 정확도 수치기법; 불연속 갤러킨 방법; CPR 방법; GPU 계산; CUDA 프로그래밍; CFD; Compressible Flow; Higher-order Method; Discontinuous Galerkin Method; Correction Procedure via Reconstruction Method; GPU computing; CUDA Programming
- The present paper deals with the efficient computation of higher-order CFD methods for compressible flow using graphics processing units (GPU). The higher-order CFD methods, such as discontinuous Galerkin (DG) methods and correction procedure via reconstruction (CPR) methods, can realize arbitrary higher-order accuracy with compact stencil on unstructured mesh. However, they require much more computational costs compared to the widely used finite volume methods (FVM). Graphics processing unit, consisting of hundreds or thousands small cores, is apt to massive parallel computations of compressible flow based on the higher-order CFD methods and can reduce computational time greatly. Higher-order multi-dimensional limiting process (MLP) is applied for the robust control of numerical oscillations around shock discontinuity and implemented efficiently on GPU. The program is written and optimized in CUDA library offered from NVIDIA. The whole algorithms are implemented to guarantee accurate and efficient computations for parallel programming on shared-memory model of GPU. The extensive numerical experiments validates that the GPU successfully accelerates computing compressible flow using higher-order method.