Research plan presentation
Download
1 / 31

Research Plan Presentation - PowerPoint PPT Presentation


  • 108 Views
  • Uploaded on

Cornelius Toole, Jr. Louis Stokes Mississippi Alliance for Minority Participation Bridge to the Doctoral Program Department of Computer Science Jackson State University September 16, 2004 Program Director: Dr. James Perkins Research Advisor: Dr. Loretta A. Moore .

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Research Plan Presentation' - agatha


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Research plan presentation

Cornelius Toole, Jr.

Louis Stokes Mississippi Alliance for Minority Participation Bridge to the Doctoral Program

Department of Computer Science

Jackson State University

September 16, 2004

Program Director: Dr. James Perkins

Research Advisor: Dr. Loretta A. Moore

Research Plan Presentation


Outline
Outline

Advisor

Areas of Interest

Career Objectives

Academic Preparation

Research Experience

Topic Areas Overview

Research Plan

Methodology

Activities / Coursework

Needed Preparation

Prospective Doctoral Programs


Advisor dr loretta moore
Advisor - Dr. Loretta Moore

Educational Background

PhD., Computer Science, Illinois Institute of Technology, 1991

M.S., Computer Science, Illinois Institute of Technology, 1986

B.S., Computer Science, Jackson State University, 1985

Current Appointment

Associate Professor and Chair of Computer Science Department ( 1998 – present )


Academic preparation
Academic Preparation

Began Computer Science Program at JSU Fall 1999

Began Art Program at JSU mid-semester Fall 1999

Courses Overview:

Java, C, C++ programming

Data Structures, Discrete Structures, Programming Languages, Computer Architecture, Algorithms, Operating Systems, Data Mining, Computer Ethics, Senior Project

Biology, Chemistry, Physics I & II

Trigonometry, Calculus I II & III, Probability and Statistics I & II

Graphic Design, Drawing, Computer Art

BS Computer Science May 2003


Areas of interest
Areas of Interest

Computer Graphics and Visualization

Interface Design

High Performance Computing


Career objectives
Career Objectives

Complete Master’s Degree in Computer Science at Jackson State University

Enter & complete PhD program in Computer Science

Attain academic/research appointment

Conduct research and development in the areas of information/scientific visualization and new media tools

Form R&D lab

Creation of coalitions between academia and industry in visual computing


Research experience
Research Experience

Student Research Assistant in JSU Computer Science Department, spring 2001 – fall 2002

Topic: Machine Vision, Image Processing, & Smart Camera

Advisor Dr. Loretta Moore

Student Research Intern at the Computations/Engineering Directorates at LLNL, summer 2001

Topic: Smart Camera

Project Manager Doug Coffland

Advisor Virgil Kohlhepp

Student Research at the Engineering Directorate at LLNL, summer 2002

Topic: Smart Camera

Project Manager: Doug Coffland

Advisor: Virgil Kohlhepp


Research experience cont d
Research Experience cont'd

Student Research Intern at Geo-Structures Laboratory at the U.S. Army Corps of Engineers ERDC, summer 2003

Topic: Protective Structures

Division Chief: Frank Dallriva

Advisor: Matt Hosseley

Student Research Guest at Center for Science and Engineering Education / Computing Sciences Division at LBNL in the Visualization Group, summer 2004

Topic: Visualization of Discrete Ordinates Method Radiation Transport Data

Mentor: John Shalf


Graduate research experience radiation transport
Graduate Research Experience: Radiation Transport

Part of a scientific team interested in discovering the cause of supernovae

Radiation transport involved in key processes taking place in supernovae

Radiation transport describes processes that occur when the properties of protons are altered by scattering, absorption, and reemission of the matter through which the protons are passing


Graduate research experience cont d
Graduate Research Experience cont’d

Equation extremely difficult to solve because of the integration on an angle

Scientist uses Discrete Ordinates Methods to circumvent this

DOM divides the domain into regions called ordinates through discretization

Integro-differential form of Boltzmann Radiative Transfer Equation

Discretization of integration over an angle by quadrature sums times appropriate weights at finite points in interval



Summer research summary
Summer Research Summary

Provide scientist with tools to explore radiation transport data

Interest in remote distributed visualization

Chose this work in order to gain experience in scientific visualization and to better understand needs and challenges of visualization first


Scientific visualization definition

Visualization is a method of computing. It transforms the symbolic into the geometric, enabling researchers to (more effectively) observe their simulations and computations. Visualization offers a method for seeing the unseen. It enriches the process of scientific discovery and fosters profound and unexpected insights...

-B. McCormick, T. DeFanti, and M. Brown

Several Representations

of DNA strand

Scientific Visualization: Definition


Principles of scientific visualization
Principles of Scientific Visualization symbolic into the geometric, enabling researchers to (more effectively) observe their simulations and computations. Visualization offers a method for seeing the unseen. It enriches the process of scientific discovery and fosters profound and unexpected insights...

The scientific investigation model as it relates to scientific visualization


Distributed Systems: Computational Grids symbolic into the geometric, enabling researchers to (more effectively) observe their simulations and computations. Visualization offers a method for seeing the unseen. It enriches the process of scientific discovery and fosters profound and unexpected insights...

  • Can support the execution of large-scale, resource-intensive, & distributed applications

  • Distributed systems

  • Linking resources in a geographically remote manner


Distributed Systems: Computational Grids symbolic into the geometric, enabling researchers to (more effectively) observe their simulations and computations. Visualization offers a method for seeing the unseen. It enriches the process of scientific discovery and fosters profound and unexpected insights...

  • Example of an e-ChemLab enabled by grid technology

  • Spring 2004 special topics course on grid technology

  • Instructed by Drs. Geoffrey Fox, Bryan Carpenter, and Marlon Pierce from Indiana University


Distributed visualization architecture diva
Distributed Visualization Architecture: DiVA symbolic into the geometric, enabling researchers to (more effectively) observe their simulations and computations. Visualization offers a method for seeing the unseen. It enriches the process of scientific discovery and fosters profound and unexpected insights...


Distributed visualization motivation
Distributed Visualization: Motivation symbolic into the geometric, enabling researchers to (more effectively) observe their simulations and computations. Visualization offers a method for seeing the unseen. It enriches the process of scientific discovery and fosters profound and unexpected insights...

Resources and capabilities for visualization are dispersed.

Large data store may be at one site

Special display system at another

High graphics performance processing capabilities may exist at a rendering farm in another site

What if we could create a system to take advantage of all these capabilities in an application that works seamlessly as a single machine?

Remote distributed visualization (RDV) can enable this


Distributed visualization
Distributed Visualization symbolic into the geometric, enabling researchers to (more effectively) observe their simulations and computations. Visualization offers a method for seeing the unseen. It enriches the process of scientific discovery and fosters profound and unexpected insights...

Applications

Particle Physics

Astronomy

Genomics

Bioinformatics

Computation Biology

Any scientific domain that generates huge amounts of data and can take advantage of high performance computing


Distributed visualization architecture remote distributed visualization
Distributed Visualization Architecture: Remote Distributed Visualization

Key Problem Areas in Remote Distributed Visualization

New Network Transport and Communications Protocols

Job Control

Brokering of Grid Services for Visualization

Common / Unified Data Formats

New Visualization Algorithms


Rdv need for a broker
RDV: Need for a Broker Visualization

Possible to manually configure a RDV application on limited number of machines in a distributed environment

Infeasible with many ( hundreds ) of machines and components not to mention that one would have to know all the info about each component

This needs to be automated – could be done by an agent called a broker


Visualization services broker
Visualization Services Broker Visualization

  • A Broker provides services for:

    • Service/Component Discovery & Location

    • Performance Prediction / Modelling

    • Optimal Configuration

    • Application Invocation

      • Permissions Granting / Acquisition

    • Recording Performance History / Configuration Refinements


Research plan
Research Plan Visualization

Tentative Thesis Topic Area

DiVA – Distributed Visualization Architecture

Brokering for Visualization Grid Services

Research Goal

To develop and implement components that provide brokering services for distributed visualization applications

This work's main focuses are studies in visualization, and distributed computing.


Research plan cont d
Research Plan cont'd Visualization

Currently in literature review

DiVA research is being conducted at:

Lawrence Berkeley National Laboratory

Carnegie Mellon University

Louisiana State University

Becoming familiar with grid computing frameworks

Studies of various visualization techniques


Research plan methodology
Research Plan: Methodology Visualization

Implement visualization components as grid services

Implement performance models and profiles for each component

Implement components for service location

Implement components for optimal configuration selection

Implement agent to invoke visualization pipeline application

Implement methods to monitor and refine application performance



Publication plans professional development
Publication Plans / Professional Development Visualization

ACM Mid Southeast Region Conference in Gatlinburg, TN, Nov 2004 – present paper on work at LBNL

Overset Symposium in Huntington Beach, CA, Oct 5 -7, 2004

Winter 2004

Publications on visualization brokering grid services


Preparation needed
Preparation Needed Visualization

Mathematics

Reinforcement of calculus, linear algebra, differential equations, set theory and logic, and probability & statistics

Numerical analysis

Computer Graphics

Computer Animation


Preparation needed1
Preparation Needed Visualization

Neural Networks

Algorithm Design and Analysis( reinforcement )

Parallel Programming

Distributed Computing

Web\Grid Services


Proposed doctoral programs
Proposed Doctoral Programs Visualization

University of California Davis Computer Science Program

Kwa Liu Ma, PhD

Scientific Visualization / Information Visualization

University of Illinois Chicago Computer Program

The Electronic Visualization Laboratory

University of Florida Computer Science Program

Paul Fishwick

Aesthetic Computing


Acknowledgements
Acknowledgements Visualization

My parents

My wife

Jackson State University Computer Science Department Faculty and Staff

Dr. Loretta Moore

Dr. James Perkins

The National Science Foundation and the Louis Stokes Alliance for Minority Participation

The Office of Science of the Department of Energy and Lawrence Berkeley National Laboratory


ad