stead of imposing our vague knowledge of flow and transport mechanism in shale, we let the data identify its functional relationship using pattern recognition techniques in a non-linear and complex system. Student: Soodabeh Esmaili sesmaili@mix.wvu.edu PI: Shahab Mohaghegh Shahab.mohaghegh@mail.wvu.edu
Wireless Network Performance Analysis using Parallel Computing The disclosed work develops a hardware and software infrastructure for high-performance simulation of wireless communication networks. The software is an open-source library based on MATLAB having ease-of-use and accessibility as primary design goals. The hardware utilized by the library is a high-performance parallel computing cluster containing over 400 processing cores enabling researchers to perform simulation much faster than is possible using a single desktop PC containing only a handful of cores. Users interact with the software using concise MATLAB and web-based interfaces. The goal of wireless communication research is to improve the energy, spectral, and throughput performance of wireless networks, such as cellular phone, Wi-Fi/802.11, and HDTV satellite networks. Improvements provide benefits such as longer phone battery life and faster download speeds. Investigating the performance of wireless networks using a combination of mathematical analysis and simulation is often much more cost effective than building hardware prototypes. As an example of performance benefit, the energy efficiency of a novel two-way relaying technique utilizing technologies found in the UMTS cellular standard was simulated, varying parameters such as modulation order and channel code rate. The simulation regime was run using both a single desktop PC and the developed infrastructure. Using a single PC, the regime required several weeks to execute, while requiring less than a day using the infrastructure. The long-term goal of the project is to extend available processing power using a volunteer computing model in which users freely obtain the
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