Machine Learning Techniques for Understanding and Predicting Memory Interference in CPU-GPU Embedded Systems.
Alessio MasolaNicola CapodieciBenjamin RouxelGiorgia FranchiniRoberto CavicchioliPublished in: RTCSA (2023)
Keyphrases
- embedded systems
- processing power
- memory bandwidth
- computing power
- graphics processors
- flash memory
- low cost
- embedded software
- resource limited
- intel xeon
- embedded devices
- data transfer
- real time
- real time image processing
- software systems
- graphics processing units
- real time systems
- gpu implementation
- multithreading
- hardware software
- hw sw
- limited memory
- consumer electronics
- single instruction multiple data
- instruction set
- field programmable gate array
- software development