Component-based Environment for Remote
Architecture Research Laboratory - Clemson
NASA Earth and Space Science (ESS) program, HPCC, and the Earth Science and Technology Office
CERSe is a project aimed at providing an
environment for remote sensing which is easy to use, extensible,
and takes advantage of high-performance parallel computer hardware.
By ease of use we mean that it provides a component-based environment,
design and performance tools, a graphical environment, etc. The
power of CERSe comes in a combination of ways. CERSe targets a hardware
platform of Beowulf-class supercomputers.
CERSe, the software we
use, the parallel programming extensions (MPI-MPICH),
the parallel filesystem (PVFS),
and all other parts of a Beowulf are all free of cost and open
source. CERSe is one of several environments conforming to / developed
- the Clemson Environment for Computer Aided Application Design.
Check out WebWulf
for a host of images which CERSe has produced.
CERSe has progressed to some form of completion. We demonstrated the project at
Supercomputing 2000 in Dallas, Texas and Supercomputing 2001 in Denver, Colorado
as part of the NASA booth. NASA has a site which
has our posters and some explanation
CERSe is now a PSE developed through the use of Coven. Coven
provides a framework for PSE development for parallel computers.
are just some of the screenshots from a graphical interface for CERSe.
PVFS - The Parallel Virtual File
System is a project at the PARL. This project provides a robust filesystem for
clusters and is used by CERSe.
CECAAD - The Clemson
Environment for Computer-Aided Application Design web site. This project defines
how problem solving environments should be built. CERSe is built using many of
the concepts from this research.
MPICH - an implementation of
the Message Passing Interface for cluster computers. MPICH is the interface of
choice for CERSe.
OSSIM - The Open Source Software Image
Map project. A project that aims at solving a very similar problem as CERSe
but approaches it a little differently.
The AutoClass Project - A Bayesian classifier developed by the Bayes
group at NASA Ames Research Center.
TRACEE - A module-based
toolkit for algorithm development.
World Data Bank II - A (long) listing of latitude / longitude values of
Java Documentation - The official
site for Java documentation. This has all the APIs and is amazingly useful.
Sea Surface Temperatures
and NOAA - A site which explains the derivation of the SST algorithm
using NOAA satellites. Pictures are also included.
NOAA Satellites - A
comprehensive site of links to NOAA satellite related pages. There are pics
of the satellites themselves, links to algorithms, data providers, calibration
data, and more.
- A primer on the SST algorithm using NOAA AVHRR satellite data.
NOAA KLM User's Guide - A must
have for anyone trying to understand now the NOAA-K and NOAA-M polar
orbiter series of satellites work.
SST Equations and Temperature Charts - A collection of topics on
Sea Surface Temperature equations.
NASA Remote Sensing Tutorial - A nice
collection of information for using satellites for computational science.
Remote Sensing Class - Links to tutorials for algorithms like ozone
production and depletion, temperature sounding, water vapor sounding, etc.
WebWulf - A Beowulf cluster in the
Parallel Architecture Research Laboratory dedicated to remote-sensing research.
Scores of images can be found here made with CERSe and less user-friendly tools
which we designed before CERSe.
A Global View From Space - A really cool interactive site from NASA
that lets you view a realtime view from space.
CIMSS GOES Gallery
- A collection of very cool GOES images that have been singled out for
the features that they highlight.
Ocean Remote Sensing Group - A really
cool site with many different pictures. They have SST maps for current data
and past data. There are trackings and cool pics of hurricanes, snowstorms,
fires, etc. There is also an "overview" of each dataset explaining
what the dataset itself looked like.