Sökning: "GPU-based implementation"
Visar resultat 1 - 5 av 14 uppsatser innehållade orden GPU-based implementation.
1. Acceleration of Massive MIMO algorithms for Beyond 5G Baseband processing
Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : As the world becomes more globalised, user equipment such as smartphones and Internet of Things devices require increasingly more data, which increases the demand for wireless data traffic. Hence, the acceleration of next-generational networks (5G and beyond) focuses mainly on increasing the bitrate and decreasing the latency. LÄS MER
2. Improving the Accuracy of FFT-based GPGPU Ocean Surface Simulations
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : In this paper, we explore how the current state of the art in real-time ocean simulations can be improved in terms of simulation accuracy, while preserving performance. Current methods, both in academia and in the industry, simulate an ocean model in frequency space on the GPU, convert said model on an approximately frame-byframe basis to the spatial domain using the Fourier transform, and then read back the resulting heightfield to the CPU as input to the application’s physics engine. LÄS MER
3. GPU Volume Voxelization : Exploration of the performance characteristics of different GPU-based implementations
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In recent years, voxel-based modelling has seen a reintroduction to computer game development through massive graphics hardware improvements. Never- theless, polygons continue to be the default building block of 3D objects, intro- ducing a need for the transformation of polygon meshes into voxel-based models; this process is known as voxelization. LÄS MER
4. Design and Implementation of a Compiler for an XML-based Hardware Description Language to Support Energy Optimization
Master-uppsats, Linköpings universitet/Programvara och systemSammanfattning : GPU-based heterogeneous system architectures are popular as they combine the advantages of CPU with the benefits of GPU. Development of high-performance and power-efficient software for heterogeneous system architecture needs to take both hardware and software specifications into consideration, which leads the software development process to be more complicated. LÄS MER
5. Sparse-Matrix support for the SkePU library for portable CPU/GPU programming
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : In this thesis work we have extended the SkePU framework by designing a new container data structure for the representation of generic two dimensional sparse matrices. Computation on matrices is an integral part of many scientific and engineering problems. Sometimes it is unnecessary to perform costly operations on zero entries of the matrix. LÄS MER