KeLP (Kernel Lattice Parallelism) is a framework for implementing portable scientific applications on distributed memory parallel computers. It is intended for applications with special needs, in particular, that adapt to data-dependent or hardware dependent conditions at run time. KeLP is currently used in full-scale applications including subsurface modeling, turbulence studies, and first principles simulation of real materials.
The Network Weather Service is a distributed system that periodically monitors and dynamically forecasts the performance various network and computational resources can deliver over a given time interval. The service operates a distributed set of performance sensors (network monitors, CPU monitors, etc.) from which it gathers readings of the instantaneous conditions. It then uses numerical models to generate forecasts of what the conditions will be for a given time frame. We think of this functionality as being analogous to weather forecasting, and as such, the system inherits its name.
Many students taking a second course in linear algebra with a computational orientation find it very helpful to see an overview of concrete areas of application. This module contains two such applications. The first one is a general introduction to the Google PageRank algorithm showing why numerical eigenvalue computation is relevant.A second application is that of a spring-mass system with design updates. The focus is on solving eigenvalue and linear systems of equations using MATLAB.
The N-Body problem has become an intricate part of the computational sciences, and there has been rise to many methods to solve and approximate the problem. The solution potentially requires on the order of calculations each time step, therefore efficient performance of these N-Body algorithms is very significant [5]. This work describes the parallelization and optimization of the Particle-Particle, Particle-Mesh (P3M) algorithm within GalaxSeeHPC, an open-source N-Body Simulation code. Upon successful profiling, MPI (Message Passing Interface) routines were implemented into the population of the density grid in the P3M method in GalaxSeeHPC. Each problem size recorded different results, and for a problem set dealing with 10,000 celestial bodies, speedups up to 10x were achieved. However, in accordance to Amdahl's Law, maximum speedups for the code should have been closer to 16x. In order to achieve maximum optimization, additional research is needed and parallelization of the Fourier Transform routines could prove to be rewarding. In conclusion, the GalaxSeeHPC Simulation was successfully parallelized and obtained very respectable results, while further optimization remains possible.
Enter two complex numbers (z and c) as ordered pairs of real numbers, then click a button to iterate step by step. The iterates are graphed in the x-y plane and printed out in table form. This is an introduction to the idea of prisoners/escapees in iterated functions and the calculation of fractal Julia sets.
Protein Explorer is free software for visualizing the three-dimensional structures of protein, DNA, and RNA macromolecules, and their interactions and binding of ligands, inhibitors, and drugs. It is arguably the easiest-to-use software of its kind. It is suitable for high school and college students (ages 16 years and older), yet it is also widely used by graduate students and researchers. This site provides instruction in the use of Protein Explorer and simplifies queries of the Protein Data Bank.
A set of tutorials for the Portable Extensible Toolkit for Scientific Computation (PETSc). Developed at Argonne National Laboratory, PETSc is a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations that employs the MPI standard for parallelism.
