Partial differential equations (PDEs) are used to model physical phenomena and then appropriate convergent numerical algorithms are employed to solve them and create computer simu...
Darrin M. Hanna, Anna M. Spagnuolo, Michael DuChen...
We consider a heterogeneous computing environment that consists of a collection of machines and task types. The machines vary in capabilities and different task types are better su...
Abdulla Al-Qawasmeh, Anthony A. Maciejewski, Howar...
Identifying and inferring performances of a network topology is a well known problem. Achieving this by using only end-to-end measurements at the application level is a method kno...
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...
Gaussian Cubes (GCs) are a family of interconnection topologies in which the interconnection density and algorithmic efficiency are linked by a common parameter, the variation of ...