D2O - a distributed data object for parallel high-performance computing in Python.
Theo SteiningerMaksim GreinerFrederik BeaujeanTorsten A. EnßlinPublished in: CoRR (2016)
Keyphrases
- distributed data
- high performance computing
- massively parallel
- parallel computing
- scientific computing
- message passing interface
- data sharing
- computational science
- file system
- communication cost
- computing systems
- fault tolerance
- databases
- shared memory
- grid computing
- data mining algorithms
- computing resources
- parallel implementation
- management system
- sensor networks
- fine grained
- data objects
- nearest neighbor
- data distribution
- computing environments
- data sets