Hierarchical Partitioning Algorithm for Scientific Computing on Highly Heterogeneous CPU + GPU Clusters.
David ClarkeAleksandar IlicAlexey L. LastovetskyLeonel SousaPublished in: Euro-Par (2012)
Keyphrases
- scientific computing
- partitioning algorithm
- highly heterogeneous
- graphics processing units
- general purpose computing
- high performance computing
- clustering algorithm
- hierarchical clustering
- graph partitioning
- general purpose
- gpu implementation
- highly parallel
- parallel computing
- real time
- computing systems
- file system
- data clustering
- parallel processing
- massively parallel
- cluster analysis
- graphics hardware
- distributed memory
- data transfer
- parallel implementation
- efficient implementation
- parallel programming
- workflow management
- compute unified device architecture
- computational geometry
- floating point
- computer systems
- cluster ensemble
- probabilistic model
- unsupervised learning