The Comparison of Large-Scale Graph Processing Algorithms Implementation Methods for Intel KNL and NVIDIA GPU.
Ilya V. AfanasyevVladimir V. VoevodinPublished in: RuSCDays (2017)
Keyphrases
- significant improvement
- computational cost
- synthetic and real datasets
- graphics processing units
- machine learning methods
- complexity analysis
- benchmark datasets
- computationally expensive
- methods outperform
- parallel implementation
- optimization methods
- search methods
- real time
- efficient implementation
- cpu implementation
- graphics processors
- times faster
- learning algorithm
- graph theory
- optimization problems
- methods require
- general purpose
- gpu implementation
- computational complexity
- huge data sets
- statistical methods
- machine learning algorithms
- data mining techniques
- graph structures
- maximum flow
- gpu accelerated