Implementation and performance of Barnes-hut n-body algorithm on extreme-scale heterogeneous many-core architectures.
Masaki IwasawaDaisuke NamekataRyo SakamotoTakashi NakamuraYasuyuki KimuraKeigo NitadoriLong WangMiyuki TsubouchiJun MakinoZhao LiuHaohuan FuGuangwen YangPublished in: Int. J. High Perform. Comput. Appl. (2020)
Keyphrases
- computational complexity
- learning algorithm
- single pass
- theoretical analysis
- high accuracy
- experimental evaluation
- dynamic programming
- cost function
- times faster
- experimental study
- detection algorithm
- optimization algorithm
- probabilistic model
- matching algorithm
- search space
- computational cost
- simulated annealing
- np hard
- image segmentation
- parallel implementation
- objective function
- scale space
- optimal solution
- preprocessing
- convergence rate
- recognition algorithm
- hardware implementation
- data sets
- improved algorithm
- hardware architecture
- linear programming
- worst case
- k means
- evolutionary algorithm
- similarity measure
- image processing
- neural network