Reconfigurable dataflow graphs for processing-in-memory.
Charles F. ShelorKrishna M. KaviPublished in: ICDCN (2019)
Keyphrases
- graph transformation
- computational power
- memory management
- real time
- compute intensive
- low cost
- random access
- neural network
- data processing
- hardware implementation
- graph mining
- data flow
- memory usage
- video processing
- computing power
- graph matching
- processing elements
- memory requirements
- dynamic reconfiguration
- general purpose
- design methodology
- graph theory