The use of multiprocessor tasks (M-tasks) has been shown to be successful for mixed task and data parallel implementations of algorithms from scientific computing. The approach o...
Abstract. The current state of the art regarding scalable reasoning consists of programs that run on a single machine. When the amount of data is too large, or the logic is too com...
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
This paper describes a scalable parallel marking technique for garbage collection that does not employ any synchronization operation. To achieve good scalability, two major design...
The task management is a key point in grid applications and can highly influence their efficiency. There are many solutions that we can classify according to their centralizatio...