The Cactus Framework provides high level programming abstractions to develop computational science applications that can model physical systems such as black hole collisions or the flow of oil and gas through reservoirs. Cactus applications include tools for remote monitoring and visualization, and can run on the largest supercomputers in the world. This tutorial leads students to explore the features of a running Cactus simulation that is modeling a black hole system, including a web interface to the simulation, basic visualization, performance information and notification to Web 2.0 tools such as Flickr and Twitter.

The Simple API for Grid Applications (SAGA) provides an application-level programming abstraction for distributed environments. It provides a simple and consistent programmatic interface to the most commonly required Grid functionality. This tutorial provides a quick overview of SAGA and an introduction of some of its elementary capabilities such as multiple-site job-launching and file-transfer. It also shows how to use SAGA to develop simple distributed applications.

The objective of image classification is to identify images by assigning a class to an image group with homogeneous characteristics on the basis of gray or color level. The tool provides optional user interfaces for users to perform real time classification on regular camera images or on digital mammograms. Users can choose any image already in the database or can provide a new query image for classification. The tool leads students to apply weighted association rules to represent an image and to make image classification and content based image retrieval.

Proteins are flexible macromolecules that contain backbones which can change from one specific folded conformation to another. Protein folding is frequently guided by local residue interactions that form clusters in the protein core. Evidence indicates that functionally important protein flexible residue interactions are governed by the hydrophobic propensities that they possess. This tool is designed to predict physico-chemical property-flexibility relationships that have been experimentally confirmed as functionally important. This tool leads students to apply graph theory and data mining technologies to extract and isolate protein structural features that sustain invariance in evolutionary related proteins, through the integrated analysis of different hydrophobicity scales over the 3D structure of proteins.

Designing an efficient artificial heart requires understanding the blood flow in human heart just like improving the efficiency of a race car or Boeing 777 requires understanding their aerodynamics. With the advent of high performance computational platforms, computational fluid dynamics approach has made significant advances in the wide areas of engineering and sciences. This tutorial introduces the students with simple fluid dynamics concepts such as drag force and mixing by interactively changing the geometry and placement of obstacles (alphabet letters) in the flow path and visualizing these results. Several other examples such as pollutant dispersion in a model city are also used to explain the importance of such a simulation tool.

Vish is a software environment for providing newly developed visualization algorithms in an end-user friendly way. This tutorial introduces the students to Vish using an ordinary windows machine (decent graphics card is required). Students can download an self-installer and a huge dataset of a numerical simulation of merging neutron stars. Starting with a built-in analytic data set, the users will learn how to apply basic visualization methods, and different ways on how to look at data. Not only will they be able to inspect a dataset from different view points, but they will also learn how to apply different analysis methods, and how to enhance different features of the data. With this basic knowledge they will be prepared to explore the orbitals of electrons in an atom in different ways, another intrinsic demo of the Vish visualization shell, and ultimately be able to also work on the 16GB size data set of the colliding neutron stars stemming from a real research frontier simulation.

PetaShare is an NSF sponsored project which responds to the urgent need of scientists who work with large-scale data generation, sharing and collaboration requirements. PetaShare aims to enable domain scientists to focus on their primary research problem, assured that the underlying infrastructure will manage the low-level data handling issues.

Video recording of a variation of http://csc.lsu.edu/~ullmer/talks/bor-tangible-science-ligo.2009-08/ targeted at K-12 student and teacher audience; Including video recording of current kiosk, video recording of tangibles interaction with stir tanks, talk about underlying technology and design; and talk about the future of each of these (including upcoming K-12 deployments). Will include a URL to which people could follow up with (a) general questions; or (b) specific interests in having the kiosk come to their school, etc.

Graduate and undergraduate students talk about their role in CyberTools. These 3 min. soundbites are an overview of their research experience while participating in CyberTools.

CCT’s Steve Brandt provides a step-by-step introduction to programming languages such as Perl, Java, Haskell, Python, and MPI. http://stevenrbrandt.com/cios/