Sökning: "high-performance computing"
Visar resultat 1 - 5 av 76 avhandlingar innehållade orden high-performance computing.
- Detta är en avhandling från Stockholm : KTH Royal Institute of Technology
Sammanfattning : The massive computational cost for resolving all scales in a turbulent flow makes a direct numerical simulation of the underlying Navier-Stokes equations impossible in most engineering applications. Recent advances in adaptive finite element methods offer a new powerful tool in Computational Fluid Dynamics (CFD). LÄS MER
- Detta är en avhandling från Uppsala : Acta Universitatis Upsaliensis
Sammanfattning : Computer simulations have emerged as a cost efficient complement to laboratory experiments, as computers have become increasingly powerful. The aim of the present work is to explore the ideas of some state of the art software development practices, and ways in which these can be useful for developing high performance research codes. LÄS MER
3. High-Performance Finite Element Methods with Application to Simulation of Diffusion MRI and Vertical Axis Wind TurbinesDetta är en avhandling från KTH Royal Institute of Technology
Sammanfattning : The finite element methods (FEM) have been developed over decades, and together with the growth of computer engineering, they become more and more important in solving large-scale problems in science and industry. The objective of this thesis is to develop high-performance finite element methods (HP-FEM), with two main applications in mind: computational diffusion magnetic resonance imaging (MRI), and simulation of the turbulent flow past a vertical axis wind turbine (VAWT). LÄS MER
- Detta är en avhandling från Stockholm : KTH
Sammanfattning : The beginning of the twenty-first century has been characterized by an explosion of biological information. The avalanche of data grows daily and arises as a consequence of advances in the fields of molecular biology and genomics and proteomics. LÄS MER
- Detta är en avhandling från Skövde : University of Skövde
Sammanfattning : Machine learning algorithms are very successful in solving classification and regression problems, however the immense amount of data created by digitalization slows down the training and predicting processes, if solvable at all. High-Performance Computing(HPC) and particularly parallel computing are promising tools for improving the performance of machine learning algorithms in terms of time. LÄS MER