Memory Footprint Optimization Techniques for Machine Learning Applications in Embedded Systems.
Manolis KatsaragakisLazaros PapadopoulosMario KonijnenburgFrancky CatthoorDimitrios SoudrisPublished in: ISCAS (2020)
Keyphrases
- embedded systems
- memory footprint
- machine learning
- low cost
- memory usage
- computing power
- embedded devices
- embedded software
- resource limited
- real time image processing
- processing power
- software systems
- real time systems
- hardware software
- hw sw
- safety critical
- computational complexity
- data structure
- embedded real time systems
- consumer electronics
- field programmable gate array
- computer networks
- artificial intelligence