CS 370 Parallel and Distributed Programming
Syllabus
Fall 2008
Lectures:	M,W: 1.30-3:10PM
Instructor:	Raj Pamula
	rpamula@calstatela.edu
	(323) 343-6693
	E&T A324
Office Hours:	W: 10.00-1.00PM;  R:9.00AM-12.00PM
Course Description:	Parallel programming techniques; abstract models of hardware and operating systems to support parallel programs.
Course Goals:	At the end of the course, students get a good understanding of
	1	Parallel hardware architectures
	2	Parallel programming models
	3	Parallel algorithms
	4	Writing parallel programs
Prerequisites:	CS203	Programming with Data Structures
	CS245	Using Operating Systems and Networks for Programmers
Textbook(s):	None (See course references below)
Reference(s):	http://www.calstatela.edu/faculty/rpamula/cs370/cs370fall2008.htm
Topics:	1	Parallel hardware architectures
	2	Parallel programming models
	3	Shared memory model
	4	Shared memory access
	5	Distributed memory model
	6	Operating Systems support
	7	Clusters
	8	Message Passing Interface
	9	Parallel Algorithms
	10	Efficiency and timing analysis
Lab Projects:	The students complete lab projects on a selected topic
	1	http://www.calstatela.edu/faculty/rpamula/cs370/cs370lab1.htm
	2	http://www.calstatela.edu/faculty/rpamula/cs370/cs370lab2.htm
	3	http://www.calstatela.edu/faculty/rpamula/cs370/cs370lab3.htm
	4	http://www.calstatela.edu/faculty/rpamula/cs370/cs370lab4.htm
	5	http://www.calstatela.edu/faculty/rpamula/cs370/cs370lab5.htm
	6	http://www.calstatela.edu/faculty/rpamula/cs370/cs370lab6.htm
Grading Policy:	Homework and Projects 20%, Midterms 50%, Final 30%
	A-,A	90 - 100
	B-,B,B+	80 - 89
	C-,C,C+	65 - 79
	D,F	<65
Academic Integrity:	Cheating will not be tolerated. Cheating on any assignment or exam will be taken seriously.  All parties involved will receive a grade of F for the course and be reported to the Academic Senate.