Advanced electrodynamic mechanisms for the optical control of light

Nonlinear quantum mechanical interactions between light and matter could lead to all-optical switching and transistor action for optical-computing platform

Investigation into Mobile Learning Framework in Cloud Computing Platform

Abstract—Cloud computing infrastructure is increasingly used for distributed applications. Mobile learning applications deployed in the cloud are a new research direction. The applications require specific development approaches for effective and reliable communication. This paper proposes an interdisciplinary approach for design and development of mobile applications in the cloud. The approach includes front service toolkit and backend service toolkit. The front service toolkit packages data and sends it to a backend deployed in a cloud computing platform. The backend service toolkit manages rules and workflow, and then transmits required results to the front service toolkit. To further show feasibility of the approach, the paper introduces a case study and shows its performance

h5fortran: object-oriented polymorphic Fortran interface for HDF5 file IO

h5fortran provides object-oriented and functional interface to the HDF5 library for Fortran. h5fortran prioritizes ease-of-use, robust self-tests and Fortran 2008 standard syntax for broad compiler, operating system and computing platform support from Raspberry Pi to HPC.https://engrxiv.org/u85s4First author draf

An Implementation of Membrane Computing Using Reconfigurable Hardware

Because of their inherent large-scale parallelism, membrane computing models can be fully exploited only through the use of a parallel computing platform. We have fully implemented such a computing platform based on reconfigurable hardware that is intended to support the efficient execution of membrane computing models. This computing platform is the first of its type to implement parallelism at both the system and region levels. In this paper, we describe how our computing platform implements the core features of membrane computing models in hardware, and present a theoretical performance analysis of the algorithm it executes in hardware. The performance analysis suggests that the computing platform can significantly outperform sequential implementations of membrane computing as well as Petreska and Teuscher's hardware implementation, the only other complete hardware implementation of membrane computing in existence