Sarah Swatski and Jack Slettebak, UMBC
Location
Mathematics/Psychology : 401
Date & Time
April 27, 2015, 11:00 am – 12:00 pm
Description
Sarah Swatski's talk:
Title: Efficient Simulation of the beta-alpha-delta (BAD) Model of Interactions in the Pancreatic IsletAbstract: n 2012, 29.1 million Americans suffered from diabetes, a disease in which high blood glucose levels persist in the blood stream. The BAD model is a system of ODEs which represent the interactions between the beta, alpha and delta cells, found in the pancreas in clusters of cells called islets of Langerhans, which together control blood glucose levels. We implement this model in Matlab and compare the performance of the ODE solver after modifications are made. We recommend that a memory modified stiff ODE solver be used to most efficiently solve the problem.
Jack Slettebak's talk:
Title: Comparing Computing Architectures using the High Performance Conjugate Gradient Benchmark
Abstract: Parallel algorithms, algorithms that use multiple cores/threads, and architectures sit at the forefront of high performance computing as a means to decrease the execution time of a computationally intense problem. The maya computing cluster at the University of Maryland, Baltimore County (UMBC) High Performance Computing Facility (HPCF) is a machine designed to take advantage of these algorithms and provide a resource for the various researchers who require a powerful computer to solve the problems they encounter in their research. To ensure that the entire system runs at maximum performance, we plan to test each component of the cluster with the newly developed Sandia High Performance Conjugate Gradient (HPCG) benchmark. It is our hope that by using a consistent piece of software we can not only learn more about the computing components themselves, but also how to best construct an environment for extracting maximum performance from the components.
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