Sökning: "GPU programming"
Visar resultat 6 - 10 av 17 avhandlingar innehållade orden GPU programming.
6. Real-Time Shading and Accurate Shadows Using GPGPU Techniques
Sammanfattning : Over the last 10-15 years, computer graphics hardware has evolved at a tremendous pace, with an exponential growth in the number of transistors. This evolution has transformed the Graphics Processing Unit (GPU) from an entirely fixed-function unit into a highly parallel general-purpose architecture that can be programmed using high-level programming languages. LÄS MER
7. Finite Element Computations on Multicore and Graphics Processors
Sammanfattning : In this thesis, techniques for efficient utilization of modern computer hardwarefor numerical simulation are considered. In particular, we study techniques for improving the performance of computations using the finite element method. LÄS MER
8. Transitional flow in ordered porous media
Sammanfattning : Porous media, here defined as any permeable structure allowing a fluid to flow through, are relevant to a multitude of engineering applications and natural processes. The observed macroscopic properties of the porous media such as mixing, heat transfer and apparent permeability are properties which are affected by the flow and especially the type of flow, or flow region. LÄS MER
9. Multi-Scattering: Computational light transport in turbid media
Sammanfattning : This thesis presents and describes the development of an online freely accessible software called Multi-Scattering for the computational modeling of light propagation in scattering and absorbing media. The model is based on the use of the Monte Carlo method, where billions of photon packets are being launched and tracked through simulated cubic volumes. LÄS MER
10. Performance-aware Component Composition for GPU-based systems
Sammanfattning : This thesis addresses issues associated with efficiently programming modern heterogeneous GPU-based systems, containing multicore CPUs and one or more programmable Graphics Processing Units (GPUs). We use ideas from component-based programming to address programming, performance and portability issues of these heterogeneous systems. LÄS MER