Fine‐Grained Memory Profiling of GPGPU Kernels

Memory performance is a crucial bottleneck in many GPGPU applications, making optimizations for hardware and software mandatory. While hardware vendors already use highly efficient caching architectures, software engineers usually have to organize their data accordingly in order to efficiently make...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computer graphics forum 2022-10, Vol.41 (7), p.227-235
Hauptverfasser:	Buelow, Max von, Guthe, Stefan, Fellner, Dieter W.
Format:	Artikel
Sprache:	eng
Schlagworte:	CCS Concepts Computing methodologies → Graphics processors Graphics processing units Hardware Hardware → Simulation and emulation Machine learning Ray tracing Software Theory of computation → Program analysis
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!