Sökning: "Stefano Markidis"
Visar resultat 1 - 5 av 8 avhandlingar innehållade orden Stefano Markidis.
1. Leveraging Intermediate Representations for High-Performance Portable Discrete Fourier Transform Frameworks : with Application to Molecular Dynamics
Sammanfattning : The Discrete Fourier Transform (DFT) and its improved formulations, the Fast Fourier Transforms (FFTs), are vital for scientists and engineers in a range of domains from signal processing to the solution of partial differential equations. A growing trend in Scientific Computing is heterogeneous computing, where accelerators are used instead or together with CPUs. LÄS MER
2. Emerging Paradigms in the Convergence of Cloud and High-Performance Computing
Sammanfattning : Traditional HPC scientific workloads are tightly coupled, while emerging scientific workflows exhibit even more complex patterns, consisting of multiple characteristically different stages that may be IO-intensive, compute-intensive, or memory-intensive. New high-performance computer systems are evolving to adapt to these new requirements and are motivated by the need for performance and efficiency in resource usage. LÄS MER
3. Physics-Informed Neural Networks and Machine Learning Algorithms for Sustainability Advancements in Power Systems Components
Sammanfattning : A power system consists of several critical components necessary for providing electricity from the producers to the consumers. Monitoring the lifetime of power system components becomes vital since they are subjected to electrical currents and high temperatures, which affect their ageing. LÄS MER
4. Large-scale I/O Models for Traditional and Emerging HPC Workloads on Next-Generation HPC Storage Systems
Sammanfattning : The ability to create value from large-scale data is now an essential part of research and driving technological development everywhere from everyday technology to life-saving medical applications. In almost all scientific fields that require handling large-scale data, such as weather forecast, physics simulation, and computational biology, supercomputers (HPC systems) have emerged as an essential tool for implementing and solving problems. LÄS MER
5. Direct Numerical Simulation of Turbulence on Heterogenous Computer Systems : Architectures, Algorithms, and Applications
Sammanfattning : Direct numerical simulations (DNS) of turbulence have a virtually unbounded need for computing power. To carry out these simulations, software, computer architectures, and algorithms must operate as efficiently as possible to amortize the large computational cost. LÄS MER
