On Sunday afternoon, November 1, several tutorials will be sponsored. All tutorials will begin at 1:00 pm and are four and a half hours in length, including a snack break. The following tutorials will be presented:
- Topics in Java Application Development (CAB Room 169)
- The Java tutorial will take place in the Computing Applications
Building (CAB); the participants should meet near the check-in table
in the Illini Union at 1:00 pm, where they will be guided to
CAB.Two short workshops involving Java will be
presented concurrently with the other two tutorials.
Each topic will take approximately
2 hours. Participants can choose to attend either or
both topics.
- Creating Collaborative Applications with Java and NCSA Habanero
- Collaborative technology breakthroughs improve the productivity of distributed/ virtual teams in analyzing complex information. NCSA Habanero provides an object framework (API) in which to create collaborative applications or to make existing applications collaborative. This tutorial will cover install and off-the-shelf use of Habanero, the architectural basis of Habanero and implications to collaborative software developers, tool construction and incorporation into the Habanero set, automated conversion of single-user Java tools, and interfacing with non-Java tools.
- 3D Visualization with the Java 3D API
- With the coming of the Java 3D API, developers have the ability to construct high-end multi-platform visualization tools. This tutorial will give an overview of the Java 3D API and show its use in a Java VRML viewer.
- Parallel Workshop (Illini Union Room 406)
- NCSA will be offering a half-day workshop entitled, "An Introduction to Parallel Computing". Participants of this tutorial should meet in Room 406 of the Illini Union. This workshop will teach effective, hands-on strategies for using parallel computers. Topics include advanced cache tuning methods and advanced techniques for data distribution. In addition, you will be introduced to powerful software tools for parallel debugging and profiling.
- Multiscale Image and Data Analysis: Theory, Applications and Software (Illini Union Room 407)
- Jean-Luc Starck (Astrophysics, CEA Saclay, France) and Fionn
Murtagh (University of Ulster, Northern Ireland and Astronomical
Observatory, Strasbourg, France) will be presenting a tutorial
on multiresolution methods. Participants of this tutorial should meet in
Room 407 of the Illini Union. Multiscale methods provide a leap
forward in data visualization. Such methods are an enabling technology
for many applications - deconvolution, compression, filtering,
object and feature detection and analysis, vision modeling. Sound
theoretical bases relating to wavelet and other transforms, and to
noise modeling of the image or other data, underly these versatile
methods. They have been described as furnishing the user with a
`microscope' for analyzing data. Image and tabular data, and 1D
signals (time series, spectra), can be easily handled.
- The program will include: a short overview on methods and applications, background on wavelet transforms, other multiscale transforms, and the principles and practice of noise modeling. There will also be a demonstration of software showing a few examples of recent work and expected near-future developments. Additional information on this tutorial is available.