Transcript CS&E Program Purdue University Computational Science and Engineering Interdisciplinary

Purdue University
CS&E Program
Computational Science and
Engineering Interdisciplinary
Graduate Program
www.cse.purdue.edu
5/23/2016
Tom Downar/ Jyoti Mathur
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Overview
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CS&E Program
CS&E Administration
CS&E Curriculum
CS&E Home departments/faculty
CS&E Student data
CS&E Seminar Series, 01-02
CS&E Awards, summary and details of 01 & 02
CS&E-GAANN program
CS&E Funding
Future Plans
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Program History
– Founded in the fall of 1995 by John Rice and Elias
Houstis as an interdisciplinary graduate specialization
program.
– CS&E was opened to graduate students admitted to a
home department but interested in performing
research with a computational science and
engineering specialization.
– CS&E is offered at both the MS and Ph.D. level;
‘Computational Engineering’ for students in home
departments of the schools of engineering and
‘Computational Science’ for students in home
departments of the other schools.
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CS&E Funding
• The Source of funding for CS&E administration
is from Purdue University.
• In 2001, the Academic Reinvestment Program of
Purdue awarded a recurring grant of $50,000
per year to the proposal titled “Computational
Science and Engineering Educational Program”
submitted by the CS&E program.
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Administration
• CS&E Program Director:
– Tom Downar (NE), Since Spring 2002
– Elias N. Houstis (CS), 1995 to fall 2001
• CS&E Program Coordinator:
– Jyoti Mathur (CS)
• CS&E Graduate Committee
– One CS&E faculty member, called the CS&E
representative, from each active home department is
member of the graduate committee.
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Home Departments/Faculty
16 departments from 5 Schools participate in CS&E:
• Schools of Engineering
– AAE(4), ECE(12), ME(3), NE(3)
• School of Science
– BIOL(8), CHEM(5), CS(13), EAS(5), MATH(8), PHYS(4),
STAT(4)
• School of Agriculture
– AgE(1), FS(2)
• School Liberal Arts
– PSYCH(1)
• School of Pharmacy
– IPPH(1), MCMP(1)
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Students
80
70
60
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Enrolled
Depts.
Graduates
40
30
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1995
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Curriculum
• Course load = 1/3 course load from computing + 2/3
course load from master’s or doctoral degrees in home
departments.
For students with home department as CS or ECE, the 1/3 course
load should be from outside department application area.
• The courses in computing are chosen from the list of
Core courses and the list of Relevant Courses.
These lists prepared by the CS&E graduate committee.
• CS&E students attend and give talks in the weekly
CS&E Seminar Series
• Upon successful completion of CS&E program, the CSE
is listed as a “specialization” on the student’s transcript
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CSE 501
Introduction to Computational Science
– This is the introductory course of the Computational
Science and Engineering Program.
– The objective of this course is to familiarize students from
various disciplines in the science of problem solving.
– This includes basic computational tools (Matlab,
Mathematica, PSEs), computational kernels of important
problems, and core techniques for solving the problems.
– It emphasizes computer simulations as an an important
design tool, the role of high performance computing in
large scale simulations, and the "Grand Challenge“
problems.
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CSE 501
Introduction to Computational Science
Year Taught
Fall 95
Fall 96
Fall 97
Spring 99
Fall 01
Fall 02
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# Students
18
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27
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Professor
Sajiva Weerawarana
Ananth Grama
John Rice
John Rice
Elisha Sacks
Ananth Grama
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Core Courses
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Computational Mathematics
– CS 514 - Numerical Analysis Iterative methods
– CS 515 - Numerical Analysis of Linear Systems
– ME 581 - Numerical Methods.
High Performance Computing
– CS 525 - Parallel Computing
– EE 563 - Programming Parallel Machines
Intelligent Computing
– CS 572 - Heuristic Problem Solving Design
– EE 570 - Programming Techniques for Artificial Intelligence
Scientific Visualization
– CS 530 - Introduction To Scientific Visualization
– EE 628 - Computer Graphic Simulation and Visualization
Computational Optimization
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CS 520 - Computational Methods in Analysis.
EE 580 - Optimization Methods for Systems and Control
MA 521 - Introduction to Optimization Problems
IE 535 - Linear Programming Optimization
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Seminar Series 01-02
Speaker
Title of Talk
Peter Dimitrov Minev, Department of Mathematical
Sciences, University of Alberta , Canada (Fall 01)
Finite Element Algorithms for Multiphase Flow
Philippe Flajolet, INRIA Rocquencourt & Brigitte
Vallee, Universite de Caen, France (Fall 01)
Continued Fractions, Comparison Algorithms, and Structure
Constants
Ping Wang, Jet Propulsion Laboratory, California Institute
of Technology (Fall 01)
Parallel Implementation of Large-scale 3D Thermal
Convection Software
John N. Shadid, Computational Science Department,
Sandia National Laboratories (Fall 01)
Stabilized FE Simulations of Reacting Flows: Solution
Algorithms and Applications
Tayfun E. Tezduya, Mechanical Engineering, Rice
University. Houston, Texas (Spring 02)
Finite Element Interface-Tracking and Interface Capturing
Techniques for Flows with Moving Boundaries and
Interfaces
Karthik Ramani, Department of Mechanical Engineering,
Purdue University (Spring 02)
CADDAC: Multi-Client Collaborative Shape Design System
With Server based Geometry Kernel
Sabre Kais, Department of Chemistry, Purdue
University (Spring 02)
Finite Size Scaling for Quantum Critical Phenomena
Zahari Zlatev, National Environmental Research Institute,
Denmark (Spring 02)
Using Partitioning in the Numerical Treatment of ODE
Systems with applications in Atmospheric
Modeling
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Seminar Series 01-02
……continued
Speaker
Title of talk
Narayan R. Aluru, University of Illinois
Urbana-Champaign (Spring 02)
Tiny Machines and Large Computations
Kannan Nandha (graduate student)
School of ME, Purdue University (Spring 02)
Lattice Boltzmann Simulations of Flows in Jets and
Channels
Chris J. Bailey-Kellogg, Department of Computer
Sciences, Purdue University (Spring 02)
Using Physical Properties for Mining in Data-Scarce
Domains
Sanjay E. Sarma, Department of Mechanical
Engineering, M.I.T. (Spring 02)
On Cutting-Paths: Geometric Theory and Planning
Techniques
Joao Cangussu (graduate student) Department of
CS, Purdue University (Spring 02)
A State Variable Approach for Feedback Software Process
Control
Robert Falgout, Center for Applied Scientific Computing,
Lawrence Livermore National Laboratory (Spring 02)
New Advances in Algebraic Multigrid
Budi Wijaya Chandra (graduate student), School of
AAE, Purdue University (Spring 02)
New Tools for On-Orbit Liquid Propellant Slosh Prediction
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Student Awards
Summary (1995-2002)
YEAR
TYPE OF AWARD
# OF AWARDS/ SOURCE
1995-1996
Special Initiative Research
Grant (SIRG-PRF)
2/ Purdue Research Foundation
1996-1997
SIRG-PRF
2/ Purdue
1997-1998
SIRG-PRF
2/ Purdue
1998-1999
SIRG-PRF
2/ Purdue
1999-2000
SIRG-PRF
2/ Purdue
2000-2001
2000-2001
SIRG-PRF
Interdisciplinary Fellowship
2/ Purdue
2/ Purdue
2001-2002
2001-2002
2001-2004
SIRG-PRF
Lynn-PRF
GAANN
2/ Purdue
4/ Purdue
4/ DOEducation+2/ Purdue
2002-2003
Ross-PRF
3/ Purdue
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Student Awards
(2001-02)
2001-02/ LYNN-PRF:
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Yunlin Xu/NE Real Time Nuclear Reactor Simulation
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Kannan Nandha /ME Lattice-Boltzmann simulations Of Engine Flows On Parallel
Computers
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Bong-sun Lee /ECE Computational Model For color Constancy
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Budhi Chandra/AAE Numerical Methods For On-Orbit Liquid Propellant Slosh Models
2001-02/ SIRG-PRF:
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Zoltan Gecse/ PHYS Computational Electronic Structure of Anti Ferromagnatic (Bio)
Molecules
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Jun Gan/NE Matrix Free Newton-Krylov Methods for Solving Coupled Thermal-
Hydraulics / Neutronics Reactor Equations
2001-04/ CS&E-GAANN (DOE):
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Tomaz Kozlowski/NE (starting Fall 2001) Adaptive Neutron Transport Methods For Nuclear
Reactor Transient Analysis
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Charles Wright/AAE (starting Spring 2002) Development of Low-Noise Jet Aircraft Engines
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Student Awards
(2002-03)
2002-03/ ROSS-PRF:
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Xiaojuan Ren/ECE
Network Computing Software using PUNCH
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Zhaoping Zhong/NE
The Numerical Nuclear Reactor for High Fidelity Integrated
Simulation of Neutron and Thermal-Hydraulic
Phenomena
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Haiping Huang/AAE
Efficient Parallel Computing Methods for Rotorcraft
Aerodynamics
2002-05/ CS&E-GAANN (DOE):
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Mark Ward/MATH-CS (starting fall 2002)
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Troy Johnson/ECE (starting spring 2003)
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CS&E GAANN Program
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What is GAANN?
– Graduate Assistance in Areas of National Need
– The areas of national need include Biology, Chemistry, Computer and
Information Science, Engineering, Geological Science, Mathematics, and
Physics.
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Sponsor of GAANN: Department of Education (DOE).
The CS&E GAANN
– Title: “Interdisciplinary Fellowship Program for Computational Science
and Engineering”
– PI : T.J. Downar (NE)
– Co-PI’s: R. Eigenmann (ECE), A. Lyrintziz (AAE), S. King (EAS), J.
Mathur (CS&E)
– Period: 1 August 2001 – 31 July 2004
– Number of Fellowships from DOE: 4
– Number of matching Fellowships from Purdue: 2
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CS&E Future Plans
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Expand CSE 501 to two semesters
Create more CS&E scholarship/fellowship offerings
Recruit more schools/departments into CS&E
Cultivate relation with CRI
– Joint colloquium/workshop/short course offerings
– CS&E Student participation in CRI research
• Explore undergraduate CS&E program
• Other Ideas?
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