Resilience and Precision Assessment of Natural Language Processing Algorithms in Analog In-Memory Computing: A Hardware-Aware Study.
Amirhossein ParvareshShima HosseinzadehDietmar FeyPublished in: NANOARCH (2023)
Keyphrases
- natural language processing
- parallel hardware
- memory requirements
- learning algorithm
- computational complexity
- standard machine learning algorithms
- machine learning
- computing power
- memory usage
- machine learning algorithms
- high precision
- low cost
- text mining
- information extraction
- memory footprint
- dedicated hardware
- computational cost
- significant improvement