Name of institution: 	Dept. of Computer Science, 
						University of Central Florida

Name of contact person: Dr. Narsingh Deo
						
Address for contact person: 	Director
								Center for Parallel Computation
								Dept. of Computer Science
								University of Central Florida
								Orlando, Fl 32816
					
E-mail Address:		deo@cs.ucf.edu

Telephone number:   407-823-2341

Access to what computers? 	-BBN GP1000 (32 nodes) (soon to be upgraded to
						  	 64 nodes). 
							-In the process of procuring either a 4096 
							 processor MasPar or an Intel i860 hypercube.
							-9 Transputer system
							-NightHawk with 6 processors.
							-access to other parallel computers at
							 national labs.

Degree offered?  			-B.S. (with emphasis in parallel processing)
							-M.S.
							-Ph.D.

Short Curricul(um)(a) Statement:

Graduate Level Courses

CDA5110 Parallel Algorithms and Architectures
COT6415 Parallel Complexity
CDA6108 Special Topics in Architecture
COT6938 Current Topics in Sequential and Parallel Algorithms
CDA5210 Architecture and Design of VLSI Algorithms
CDA6211 VLSI Algorithms and Architectures


Undergraduate Level Courses

The following courses are being designed under a NSF grant for
teaching parallel computation in the undergraduate curriculum
and will be offered starting in Fall'92.

1. Parallel Computing Concepts
2. Parallel Algorithms
3. Parallel Architectures and Organization
4. Parallel Computation and VLSI Design
5. Parallel Programming: Languages and Tools
6. Applications of Parallel Processing




Research activities:

	The Center for Parallel Computation at the University of Central
	Florida consists of five faculty members specializing in Parallel
	computing and about half a dozen others with a active interest in
	parallelism. The department has around 25 faculty.

	The concentration is in parallel algorithms, parallel data 
	structures parallel complexity and parallel data bases. The 
	attempt is to develop fast, efficient and scalable algorithms 
	as well as data structures to solve problems in the areas of 
	interests of individual faculty: numerical problems (Dr. Vemulapati); 
	graph-theoretic problems (Drs. Deo and Chandrasekharan); 
	search problems (Dr. Vempaty); building and searching very 
	large dictionaries for very large data bases (Drs. Deo
	and Hua). Parallel software is also being designed and 
	implemented for ray tracing, computer vision, discrete 
	event simulation, to mention few of the other areas.