This paper investigates the scheduling of mixed-parallel applications, which exhibit both task and data parallelism, in advance reservations settings. Both the problem of minimizi...
The memory size limits the scalability of virtual machine systems. There have been some researches about sharing identical pages among guest systems to reduce memory usage. However...
Myeongjae Jeon, Euiseong Seo, Junghyun Kim, Joonwo...
This article explores the utility of neural network ensembles in knowledge discovery and integration. A novel neural network ensemble model KBNNE (Knowledge-Based Neural Network E...
In this paper we present an algorithm for scheduling parallel applications that consist of a divisible workload. Our algorithm uses multiple rounds to overlap communication and co...
Recently, the practice of speculation in resolving data dependences has been studied as a means of extracting more instruction level parallelism (ILP). An outcome of an instructio...