Performance analysis tools are critical for the effective use of large parallel computing resources, but existing tools have failed to address three problems that limit their scal...
Scalability of parallel architectures is an interesting area of current research. Shared memory parallel programming is attractive stemming from its relative ease in transitioning...
Umakishore Ramachandran, Gautam Shah, Ravi Kumar, ...
On-Line Analytical Processing techniques are used for data analysis and decision support systems. The multidimensionality of the underlying data is well represented by multidimens...
Complex and data-intensive database queries mandate parallel processing strategies to achieve sufficiently short response times. In praxis, parallel database processing is mostly b...
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...