Enabling scalable and accurate clustering of distributed ligand geometries on supercomputers.
Boyu ZhangTrilce EstradaPietro CicottiPavan BalajiMichela TauferPublished in: Parallel Comput. (2017)
Keyphrases
- commodity hardware
- clustering algorithm
- distributed systems
- scalable distributed
- parameter free
- clustering method
- distributed environment
- lightweight
- distributed storage
- k means
- cloud computing
- massively parallel
- cooperative
- high scalability
- cluster analysis
- categorical data
- fault tolerant
- data intensive
- map reduce
- self organizing maps
- unsupervised learning
- computationally efficient
- communication cost
- fully distributed
- multi agent
- parallel computing
- fuzzy clustering
- hierarchical clustering
- computer networks
- peer to peer
- high throughput
- high precision
- outlier detection
- shared memory
- highly accurate
- distributed data
- parallel programming
- information theoretic
- data mining