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GPU Based Infrared Signature Modeling and Scene Si mulation
Date
2016-06-27
Author
Kavak, Çağlar
Akar, Gözde
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https://hdl.handle.net/11511/78745
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GPU based infrared signature modeling and scene simulation /
Kavak, Çağlar; Akar, Gözde; Akyüz, Ahmet Oğuz; Department of Electrical and Electronics Engineering (2014)
The need of a fast and high fidelity scene simulation system is important for the development of modern infrared (IR) imaging systems. The performance testing of these systems is expensive and also depends on environment conditions. However, computer based systems can provide a cost effective alternative to field trials. Ray tracing provides physical accuracy and photo realism for scene generation. However, it has computationally intensive nature and conventionally used for non-real time applications. The d...
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The most time-consuming part of the conventional Shooting and Bouncing Ray (SBR) method is the ray tracing process, which increases the computation time because of the large number of ray tubes used to model the incident wave and the large number of triangles used to model the surface mesh. In this study, an accelerated SBR method is presented to reduce the computational burden. Acceleration is done both by reducing the amount of ray-triangle intersection tests with the help of octree decomposition of 3D me...
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Over the last couple of years graphics processing units (GPU) found in graphics cards evolved into general purpose parallel stream processors. This evolution allows for using GPUs not only for traditional rasterization based rendering but also for global illumination techniques including ray tracing. Fast generation of stereo images is very important for virtual reality applications. Rendering stereo image pairs for left and right eye separately doubles the frame time. This might be a problem for interactiv...
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Unsteady free-wake solutions of wind turbine flow fields involve computationally intensive interaction calculations, which generally limit the total amount of simulation time or the number of turbines that can be simulated by the method. This problem, however, can be addressed easily using high-level of parallelization. Especially when exploited with a GPU, a Graphics Processing Unit, this property can provide a significant computational speed-up, rendering the most intensive engineering problems realizable...
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In this paper we describe the research and development activities in the Center for Efficient Exascale Discretization within the US Exascale Computing Project, targeting state-of-the-art high-order finite-element algorithms for high-order applications on GPU-accelerated platforms. We discuss the GPU developments in several components of the CEED software stack, including the libCEED, MAGMA, MFEM, libParanumal, and Nek projects. We report performance and capability improvements in several CEED-enabled applic...
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Ç. Kavak and G. Akar, “GPU Based Infrared Signature Modeling and Scene Si mulation,” 2016, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/78745.