A parallel and scalable digital architecture for training support vector machines.
Kui-kang CaoHai-bin ShenHua-feng ChenPublished in: J. Zhejiang Univ. Sci. C (2010)
Keyphrases
- training support vector machines
- multi processor
- decomposition methods
- master slave
- distributed processing
- parallel architecture
- working set selection
- scalable distributed
- multi core processors
- data sets
- real time
- parallel processing
- level parallelism
- parallel implementation
- pipelined architecture
- machine learning
- support vector machine
- single processor
- shared memory
- database management systems
- parallel computers
- management system
- multithreading
- software architecture
- special case
- parallel programming
- processing units
- neural network
- sigma delta
- processor array
- massively parallel