While commodity computing and graphics hardware has increased in capacity and dropped in cost, it is still quite difficult to make effective use of such systems for general-purpos...
E. Wes Bethel, Greg Humphreys, Brian E. Paul, J. D...
This paper shows a multisequential model to exploit OR parallelism on distributed memory systems. It presents an implementation of the incremental copy mechanism oriented to distr...
— Skyline queries are capable of retrieving interesting points from a large data set according to multiple criteria. Most work on skyline queries so far has assumed a centralized...
Bin Cui, Hua Lu, Quanqing Xu, Lijiang Chen, Yafei ...
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Abstract. A number of techniques are described for solving sparse linear systems on parallel platforms. The general approach used is a domaindecomposition type method in which a pr...