Summary of Computational Science Program
Computer Science Department
University of Tennessee

Objectives

Faculty with direct research ties to Computational Science

Mike Berry
Assistant Professor, Computer Science at UTK

Jack Dongarra
Distinguished Scientist - 1/2 time at ORNL and 1/2 time in the Computer Science Department at UTK.

Jens Gregor
Assistant Professor, Computer Science at UTK

Mark Jones
Assistant Professor, Computer Science at UTK

Steve Lee
Adjunct Professor

Mike Leuze
Adjunct Professor, - 1/2 time at ORNL and 1/2 time in the Computer Science Department at UTK.

Noel M. Nachtigal
Adjunct Professor

Padma Raghavan
Assistant Professor, Computer Science at UTK

Mike Thomason
Professor, Computer Science at UTK

Bob Ward
Professor and Department Head, Computer Science at UTK

In our program we have 6 post-docs, 3 faculty visitors, 11 research assistants, 14 graduate students, and 2 undergraduate students working on various areas of computational science.

Courses Related to Computational Science:

Graduate:

CS 530 Computer Systems Organization
CS 594 Performance Evaluation
CS 594 Iterative Solution of Linear Systems
CS 594 Scientific Computing
CS 594 Applications of Parallel Computers
CS 690 Parallel and Distributed Computation

Undergraduate:

CS 494 Parallel Computing
CS 371 Numerical Methods and Software (co-listed with Math Dept.)

Research Project Related to Computational Science:

PVM
Parallel Virtual Machine, enable computers with widely different architectures to work together on a single computational task.

ScaLapack
Linear Algebra software for high-performance computers.

National Software Exchange
Information repository for the HPCC Program.

ParkBench
Benchmarking activity for highly parallel computers.

LUCAS
Land Change and Analysis System for Landscape Management. Large-scale map analysis algorithms and software for computational ecology models.

SVDPACK
Sparse Singular Value Decomposition (SVD) algorithms and software for large-scale applications.

LSI
Latent Semantic Indexing. Large-scale information retrieval methods.

BlockSolve
Portable parallel software for solving large sparse systems of linear equations.

PARS
Scalable algorithms and software for adaptive mesh refinement

Scalable algorithms and software for a fully parallel solution of large sparse linear systems using direct methods.

Medical Imaging
parallel methods in tomographic reconstruction and quantification in cardiac analysis

List of Collaborators in Computational Science:

Equipment:

The department has a substantial number of resources available to students and faculty for educational and research purposes.