Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
Erscheinungsjahr:
2023
Medientyp:
Text
Schlagworte:
Parallelisation
GPU
C++ Framework
Portability
High-performance computing
004: Informatik
Parallelisierung
Grafikprozessor
C++
FRAMEWORK <Programm>
Portabilität
ddc:004:
Parallelisierung
Grafikprozessor
C++
FRAMEWORK <Programm>
Portabilität
Beschreibung:
Complex particle tracking software used in High Energy Physics experiments already pushes the edges of computing resources with demanding requirements for speed and memory throughput, but the future experiments pose an even greater challenge. Although many supercomputers already reached petascale capacities using many-core architectures and accelerators, many scientific applications still need to efficiently make use of the new resources. This research work is focused on investigating the parallelization potential of the particle reconstruction flow and ultimately, on developing a prototype of a framework which could contribute to a smooth transition to a platform-agnostic code base which avoids duplicating implementations for different architectures, while ensuring improved performance.