Accelerating Large-Scale Graph Processing with FPGAs: Lesson Learned and Future Directions.
Marco ProcacciniAmin SahebiMarco BarboneWayne LukGeorgi GaydadjievRoberto GiorgiPublished in: PARMA-DITAM (2024)
Keyphrases
- future directions
- lessons learned
- current trends
- open questions
- real time
- current challenges
- data processing
- real world
- graph representation
- random walk
- graph theory
- web intelligence
- graph databases
- information processing
- artificial intelligence
- current status
- massive graphs
- efficient processing
- graph structure
- machine learning