Irregular and iterative I/O-intensive jobs need a different approach from parallel job schedulers. The focus in this case is not only the processing requirements anymore: memory, ...
On-Line Analytical Processing (OLAP) refers to the technologies that allow users to efficiently retrieve data from the data warehouse for decision-support purposes. Data warehouses...
Anindya Datta, Debra E. VanderMeer, Krithi Ramamri...
: Parallel iterative methods are powerful tool for solving large system of linear equations (LEs). The existing parallel computing research results are focussed mainly on sparse sy...
Currently the developing process for enterprise applications is improved by the Service Oriented Architecture (SOA) paradigms. With SOAs the creation of modular and clearly defin...
In this paper, evaluation on 7 RDF storage systems with respect to the large data applications is presented. By using the toolkit LUBM-R, 4 different scales of RDF datasets to pro...