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- 저자 : 홍환의(H.E. Hong) (검색결과 2 건)
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홍환의(H.E. Hong),안형택(H.T. AHN),명훈주(H.J. MYUNG) 한국전산유체공학회 2011 한국전산유체공학회 학술대회논문집 Vol.2011 No.11
This paper presents Incompressible Naver-Stokes (INS) Solver for 2D Free-surface flow problems on the Cartesian mesh, which was implemented to run on Graphics Processing Units (GPU). The INS solver uses the variable arrangement on the Cartesian mesh, Finite Volume Method (FVM) along Constrained Interpolation Profile-Conservative Semi-Lagrangian (CIP-CSL). Solution procedure of incompressible Navier-Stokes equation for free-surface flow takes tremendous amount of Central Processing Unit (CPU) time and memory even in modern multi-core computing architecture based on CPUs. As development of computer architecture technology, Graphics Processing Unit (GPU)s scientific computing performance outperforms that of CPUs. This paper focus on the utilization of GPUs high performance computing capability, and present an efficient solution of free surface flow simulation. The performance of the GPU implementations with double precision is compared to that of the CPU code using an representative free-surface flow problem, e.g. dam-break problem.
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홍환의(H.E. Hong),안형택(H.T. Ahn),명훈주(H.J. Myung) 한국전산유체공학회 2012 한국전산유체공학회지 Vol.17 No.2
This paper presents incompressible Navier-Stokes solution algorithm for 2D Free-surface flow problems on the Cartesian mesh, which was implemented to run on Graphics Processing Units(GPU). The INS solver utilizes the variable arrangement on the Cartesian mesh, Finite Volume discretization along Constrained Interpolation Profile-Conservative Semi-Lagrangian(CIP-CSL). Solution procedure of incompressible Navier-Stokes equations for free-surface flow takes considerable amount of computation time and memory space even in modern multi-core computing architecture based on Central Processing Units(CPUs). By the recent development of computer architecture technology, Graphics Processing Unit(GPU)’s scientific computing performance outperforms that of CPU’s. This paper focus on the utilization of GPU’s high performance computing capability, and presents an efficient solution algorithm for free surface flow simulation. The performance of the GPU implementations with double precision accuracy is compared to that of the CPU code using an representative free-surface flow problem, namely. dam-break problem.
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