Sökning: "GPU Programming"
Visar resultat 11 - 15 av 85 uppsatser innehållade orden GPU Programming.
11. A Ray Tracing Implementation Performance Comparison between the CPU and the GPU
Kandidat-uppsats, KTH/DatavetenskapSammanfattning : Ray tracing has gained recent popularity due to the advancement of computer hardware capabilities. The algorithm is used as a rendering technique for computer graphics by tracing rays of light to determine the color of a single pixel, thus simulating the physical behavior of light. LÄS MER
12. Interactive Visualization of Air Traffic in OpenSpace
Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenSammanfattning : This thesis report presents a master’s thesis project in Media Technology by two students from Linköping University, Sweden. The project was implemented in collaboration with the Visualization Center C and Linköping University during the spring of 2021 resulting in the creation and development of two spatiotemporal visualizations featuring air traffic data in the OPENSPACE software. LÄS MER
13. Procedurally Generated Eye Features for Real-time Applications
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background. As computing power has increased over the years, larger parts of the digital graphics industries are moving towards using real-time rendering for their solutions. The fast iteration and visual response help make the creative processes and communication more accessible in both the desktop and smartphone markets. LÄS MER
14. Managing Coherency in Real-TimeRay Tracing
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : In recent years, ray tracing’s popularity in real-time rendering wasboosted by the introduction of GPUs which supported hardwareacceleration for ray tracing routines, which sped up the computationtime considerably. In spite of this, ray tracing is still expensive, andas such, most developers enhance their graphical applications with onlyselected raytraced effects, while still relying on rasterization for thecore visual component. LÄS MER
15. Cumulus - translating CUDA to sequential C++ : Simplifying the process of debugging CUDA programs
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Due to their highly parallel architecture, Graphics Processing Units (GPUs) offer increased performance for programs benefiting from parallel execution. A range of technologies exist which allow GPUs to be used for general-purpose programming, NVIDIA’s CUDA platform is one example. LÄS MER