The Experts below are selected from a list of 4104 Experts worldwide ranked by ideXlab platform
Hideharu Amano - One of the best experts on this subject based on the ideXlab platform.
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Modularizing flux Limiter Functions for a Computational Fluid Dynamics accelerator on FPGAs
2009 International Conference on Field Programmable Logic and Applications, 2009Co-Authors: Kenta Inakagata, Hirokazu Morishita, Yasunori Osana, Naoyuki Fujita, Hideharu AmanoAbstract:CFD is taken notice as a cost effective design tool for aircraft components. UPACS is a convenient CFD platform, since it supports a large degree of versatility using various kinds of solvers. However, its major drawback is a long simulation time. We have developed a UPACS accelerator named FLOPS-2D with multiple FPGA boards, and implemented some core Functions. Here, by using flexibility of FPGAs, the selectable Functions are proposed. All possible flux Limiter Functions in MUSCLs are implemented independently, and only required Functions are selected and implemented with other modules to form the optimal structure. All implemented Functions achieved at least 24 times higher performance than that with the Core 2 Duo, and configurable solvers using a desired flux Limiter Function and the number of arithmetic pipelines are developed.
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FPL - Modularizing flux Limiter Functions for a Computational Fluid Dynamics accelerator on FPGAs
2009 International Conference on Field Programmable Logic and Applications, 2009Co-Authors: Kenta Inakagata, Hirokazu Morishita, Yasunori Osana, Naoyuki Fujita, Hideharu AmanoAbstract:CFD is taken notice as a cost effective design tool for aircraft components. UPACS is a convenient CFD platform, since it supports a large degree of versatility using various kinds of solvers. However, its major drawback is a long simulation time. We have developed a UPACS accelerator named FLOPS-2D with multiple FPGA boards, and implemented some core Functions. Here, by using flexibility of FPGAs, the selectable Functions are proposed. All possible flux Limiter Functions in MUSCLs are implemented independently, and only required Functions are selected and implemented with other modules to form the optimal structure. All implemented Functions achieved at least 24 times higher performance than that with the Core 2 Duo, and configurable solvers using a desired flux Limiter Function and the number of arithmetic pipelines are developed.
Manuel Torrilhon - One of the best experts on this subject based on the ideXlab platform.
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Third-Order Limiter Functions on Non-equidistant Grids
Lecture Notes in Computational Science and Engineering, 2019Co-Authors: Birte Schmidtmann, Manuel TorrilhonAbstract:We have recently developed a third-order Limiter Function for the reconstruction of cell interface values on equidistant grids (J Sci Comput, 68(2):624–652, 2016). This work now extends the reconstruction technique to non- uniform grids in one space dimension, making it applicable for more elaborate test cases in the context of finite volume schemes.
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On third-order Limiter Functions for finite volume methods
Bulletin of the Brazilian Mathematical Society New Series, 2016Co-Authors: Birte Schmidtmann, Rémi Abgrall, Manuel TorrilhonAbstract:In this article, we propose a finite volume Limiter Function for a reconstruction on the three-point stencil. Compared to classical Limiter Functions in the MUSCL framework, which yield 2^nd-order accuracy, the new Limiter is 3^rd-order accurate for smooth solution. In an earlier work, such a 3^rd-order Limiter Function was proposed and showed successful results [2]. However, it came with unspecified parameters. We close this gap by giving information on these parameters.
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Compact third-order Limiter Functions for finite volume methods
Journal of Computational Physics, 2009Co-Authors: Miroslav Ada, Manuel TorrilhonAbstract:We consider finite volume methods for the numerical solution of conservation laws. In order to achieve high-order accurate numerical approximation to non-linear smooth Functions, we introduce a new class of Limiter Functions for the spatial reconstruction of hyperbolic equations. We therefore employ and generalize the idea of double-logarithmic reconstruction of Artebrant and Schroll [R. Artebrant, H.J. Schroll, Limiter-free third order logarithmic reconstruction, SIAM J. Sci. Comput. 28 (2006) 359-381]. The result is a class of efficient third-order schemes with a compact three-point stencil. The interface values between two neighboring cells are obtained by a single Limiter Function. The Limiter belongs to a family of Functions, which are based upon a non-polynomial and non-linear reconstruction Function. The new methods handle discontinuities as well as local extrema within the standard semi-discrete TVD-MUSCL framework using only a local three-point stencil and an explicit TVD Runge-Kutta time-marching scheme. The shape-preserving properties of the reconstruction are significantly improved, resulting in sharp, accurate and symmetric shock capturing. Smearing, clipping and squaring effects of classical second-order Limiters are completely avoided. Computational efficiency is enhanced due to large allowable Courant numbers ([email protected]?1.6), as indicated by the von Neumann stability analysis. Numerical experiments for a variety of hyperbolic partial differential equations, such as Euler equations and ideal magneto-hydrodynamic equations, confirm a significant improvement of shock resolution, high accuracy for smooth Functions and computational efficiency.
Kenta Inakagata - One of the best experts on this subject based on the ideXlab platform.
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Modularizing flux Limiter Functions for a Computational Fluid Dynamics accelerator on FPGAs
2009 International Conference on Field Programmable Logic and Applications, 2009Co-Authors: Kenta Inakagata, Hirokazu Morishita, Yasunori Osana, Naoyuki Fujita, Hideharu AmanoAbstract:CFD is taken notice as a cost effective design tool for aircraft components. UPACS is a convenient CFD platform, since it supports a large degree of versatility using various kinds of solvers. However, its major drawback is a long simulation time. We have developed a UPACS accelerator named FLOPS-2D with multiple FPGA boards, and implemented some core Functions. Here, by using flexibility of FPGAs, the selectable Functions are proposed. All possible flux Limiter Functions in MUSCLs are implemented independently, and only required Functions are selected and implemented with other modules to form the optimal structure. All implemented Functions achieved at least 24 times higher performance than that with the Core 2 Duo, and configurable solvers using a desired flux Limiter Function and the number of arithmetic pipelines are developed.
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FPL - Modularizing flux Limiter Functions for a Computational Fluid Dynamics accelerator on FPGAs
2009 International Conference on Field Programmable Logic and Applications, 2009Co-Authors: Kenta Inakagata, Hirokazu Morishita, Yasunori Osana, Naoyuki Fujita, Hideharu AmanoAbstract:CFD is taken notice as a cost effective design tool for aircraft components. UPACS is a convenient CFD platform, since it supports a large degree of versatility using various kinds of solvers. However, its major drawback is a long simulation time. We have developed a UPACS accelerator named FLOPS-2D with multiple FPGA boards, and implemented some core Functions. Here, by using flexibility of FPGAs, the selectable Functions are proposed. All possible flux Limiter Functions in MUSCLs are implemented independently, and only required Functions are selected and implemented with other modules to form the optimal structure. All implemented Functions achieved at least 24 times higher performance than that with the Core 2 Duo, and configurable solvers using a desired flux Limiter Function and the number of arithmetic pipelines are developed.
Naoyuki Fujita - One of the best experts on this subject based on the ideXlab platform.
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Modularizing flux Limiter Functions for a Computational Fluid Dynamics accelerator on FPGAs
2009 International Conference on Field Programmable Logic and Applications, 2009Co-Authors: Kenta Inakagata, Hirokazu Morishita, Yasunori Osana, Naoyuki Fujita, Hideharu AmanoAbstract:CFD is taken notice as a cost effective design tool for aircraft components. UPACS is a convenient CFD platform, since it supports a large degree of versatility using various kinds of solvers. However, its major drawback is a long simulation time. We have developed a UPACS accelerator named FLOPS-2D with multiple FPGA boards, and implemented some core Functions. Here, by using flexibility of FPGAs, the selectable Functions are proposed. All possible flux Limiter Functions in MUSCLs are implemented independently, and only required Functions are selected and implemented with other modules to form the optimal structure. All implemented Functions achieved at least 24 times higher performance than that with the Core 2 Duo, and configurable solvers using a desired flux Limiter Function and the number of arithmetic pipelines are developed.
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FPL - Modularizing flux Limiter Functions for a Computational Fluid Dynamics accelerator on FPGAs
2009 International Conference on Field Programmable Logic and Applications, 2009Co-Authors: Kenta Inakagata, Hirokazu Morishita, Yasunori Osana, Naoyuki Fujita, Hideharu AmanoAbstract:CFD is taken notice as a cost effective design tool for aircraft components. UPACS is a convenient CFD platform, since it supports a large degree of versatility using various kinds of solvers. However, its major drawback is a long simulation time. We have developed a UPACS accelerator named FLOPS-2D with multiple FPGA boards, and implemented some core Functions. Here, by using flexibility of FPGAs, the selectable Functions are proposed. All possible flux Limiter Functions in MUSCLs are implemented independently, and only required Functions are selected and implemented with other modules to form the optimal structure. All implemented Functions achieved at least 24 times higher performance than that with the Core 2 Duo, and configurable solvers using a desired flux Limiter Function and the number of arithmetic pipelines are developed.
Hirokazu Morishita - One of the best experts on this subject based on the ideXlab platform.
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Modularizing flux Limiter Functions for a Computational Fluid Dynamics accelerator on FPGAs
2009 International Conference on Field Programmable Logic and Applications, 2009Co-Authors: Kenta Inakagata, Hirokazu Morishita, Yasunori Osana, Naoyuki Fujita, Hideharu AmanoAbstract:CFD is taken notice as a cost effective design tool for aircraft components. UPACS is a convenient CFD platform, since it supports a large degree of versatility using various kinds of solvers. However, its major drawback is a long simulation time. We have developed a UPACS accelerator named FLOPS-2D with multiple FPGA boards, and implemented some core Functions. Here, by using flexibility of FPGAs, the selectable Functions are proposed. All possible flux Limiter Functions in MUSCLs are implemented independently, and only required Functions are selected and implemented with other modules to form the optimal structure. All implemented Functions achieved at least 24 times higher performance than that with the Core 2 Duo, and configurable solvers using a desired flux Limiter Function and the number of arithmetic pipelines are developed.
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FPL - Modularizing flux Limiter Functions for a Computational Fluid Dynamics accelerator on FPGAs
2009 International Conference on Field Programmable Logic and Applications, 2009Co-Authors: Kenta Inakagata, Hirokazu Morishita, Yasunori Osana, Naoyuki Fujita, Hideharu AmanoAbstract:CFD is taken notice as a cost effective design tool for aircraft components. UPACS is a convenient CFD platform, since it supports a large degree of versatility using various kinds of solvers. However, its major drawback is a long simulation time. We have developed a UPACS accelerator named FLOPS-2D with multiple FPGA boards, and implemented some core Functions. Here, by using flexibility of FPGAs, the selectable Functions are proposed. All possible flux Limiter Functions in MUSCLs are implemented independently, and only required Functions are selected and implemented with other modules to form the optimal structure. All implemented Functions achieved at least 24 times higher performance than that with the Core 2 Duo, and configurable solvers using a desired flux Limiter Function and the number of arithmetic pipelines are developed.