The development of communications services for distributed applications that are both well-structured (layered) and efficient can be difficult. This paper presents a C++ framework...
Abstract. Scientists’ ability to generate and collect massive-scale datasets is increasing. As a result, constraints in data analysis capability rather than limitations in the av...
We propose a framework for defining agent-based models (ABMs) and two algorithms for the automatic parallelization of agent-based models, a general version P-ABMG for all ABMs def...
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
In this paper, we compare the performance of some mesh-based applications in a Grid environment using the domain decomposition technique and unbalanced workload strategies. We prop...