COMP 322: Fundamentals of Parallel Programming (Spring

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2025)

Course Syllabus

Course Syllabus

A summary PDF file containing the course syllabus for the course can be found here.  Much of the syllabus information is also included below in this course web site, along with some additional details that are not included in the syllabus.

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• Module 1 handout (Parallelism)
• Module 2 handout  handout (Concurrency)

There are also a few optional textbooks that we will draw from during the course.  You are encouraged to get copies of any or all of these books.  They will serve as useful references both during and after this course:

• Fork-Join Parallelism with a Data-Structures Focus (FJP) by Dan Grossman (Chapter 7 in Topics in Parallel and Distributed Computing)
• Java Concurrency in Practice by Brian Goetz with Tim Peierls, Joshua Bloch, Joseph Bowbeer, David Holmes and Doug Lea
• Principles of Parallel Programming by Calvin Lin and Lawrence Snyder
• The Art of Multiprocessor Programming by Maurice Herlihy and Nir Shavit

Lecture Schedule

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Week	Day	Date (

2022

2025)	Lecture	Assigned Reading	Assigned Videos (see Canvas site for video links)	In-class Worksheets	Slides	Work Assigned	Work Due	Worksheet Solutions

 

1	Mon	Jan

10

13	Lecture 1: Introduction

  

worksheet1

lec1-

slides  

 

 

slides

WS1-solution

  

	Wed	Jan

12

15	Lecture 2:  Functional Programming

GList.java worksheet2lec02-slides

 

worksheet2

lec02-slides

 

WS2-solution

  

	Fri	Jan

14

17

Lecture 3: Higher order functions

worksheet3

 worksheet3 

lec3-

slides 

slides

 

WS3-solution

 

2	Mon	Jan

17

20	No class: MLK

         

	Wed	Jan

19

22	Lecture 4: Lazy Computation

LazyList.java

Lazy.java

  

worksheet4

lec4-slides

  WS4-solution 

WS4-solution
	Fri	Jan

21

24	Lecture 5: Java Streams

  

worksheet5

lec5-slides

Homework 1

 

WS5-solution

 

3	Mon	Jan

24

27

Lecture 6: Map Reduce with Java Streams

Module 1: Section 2.4

Topic 2.4 Lecture, Topic 2.4 Demonstration

worksheet6

lec6-slides

  

WS6-solution

 

 

	Wed	Jan

26 

29

Lecture 7: Futures

Module 1: Section 2.1

Topic 2.1 Lecture , Topic 2.1 Demonstration

worksheet7

lec7-slides

 

   

WS7-solution
	Fri	Jan

28

31	Lecture 8:  Async, Finish, Computation Graphs

, Ideal Parallelism

Module 1: Sections 1.

2

1, 1.

3

2

Topic 1.

2

1 Lecture, Topic 1.

2

1 Demonstration, Topic 1.

3

2 Lecture, Topic 1.

3

2 Demonstration

worksheet8

lec8 

lec8-slides

   Jan 31

WS8-solution
4	Mon

 

Feb 03

Lecture 9: Ideal Parallelism, Data-Driven Tasks

Module 1: Section 1.

1

3, 4.5

 

Topic 1.

1

3 Lecture, Topic 1.

1

3 Demonstration, Topic 4.5 Lecture, Topic 4.5 Demonstration

worksheet9

lec9-

slides  

slides

   

WS9-solution
	Wed	Feb

02

05	Lecture 10: Event-based programming model

   

worksheet10

lec10-slides

     Fri

	Homework 1	WS10-solution
	Fri	Feb 07

Feb 04

Lecture 11: GUI programming

as an example of event-based  worksheet11lec11-slidesHomework 2Homework 1  5

Mon

Feb 07

Lecture 12:

,

futures/callbacks in GUI programming

Scheduling/executing computation graphs

Abstract performance metrics

Module 1: Section 1.4

Topic 1.4 Lecture , Topic 1.4 Demonstration

worksheet12

worksheet11

lec12

lec11-slides

    

 

Wed

Feb 09

Homework 2		WS11-solution
5	Mon	Feb 10	Lecture 12: Abstract performance metrics, Parallel Speedup, Amdahl's Law

Lecture 13: Lightweight task parallelism. Finish/async

Module 1: Section 1.

1

5

Topic 1.

1

5 Lecture , Topic 1.

1

5 Demonstration

worksheet13

worksheet12

lec13

 

Fri

Feb 11

No class: Spring Recess

 

        

lec12-slides

    

		WS12-solution
	Wed	Feb 12	Lecture 13: Accumulation and reduction. Finish accumulators	Module 1: Section 2.3	Topic 2.3 Lecture   Topic 2.3 Demonstration	worksheet13	lec13-slides			WS13-solution
	Fri	Feb 14	No class: Spring Recess

6	Mon	Feb

14

17	Lecture 14:

Parallel Speedup, Critical Path, Amdah's Law

Data Races, Functional & Structural Determinism

Module 1:

Section 1

Sections 2.5, 2.6

Topic

1

2.5 Lecture ,  Topic

1 

2.5 Demonstration,  Topic 2.6 Lecture,  Topic 2.6 Demonstration

worksheet14

lec14-slides

    

WS14-solution
	Wed	Feb

16

19	Lecture 15:

Recursive Task Parallelism    

Limitations of Functional parallelism. Abstract vs. real performance. Cutoff Strategy

worksheet15

lec15-slides

 

 

    

	Homework 2	WS15-solution
	Fri	Feb

18

21	Lecture 16:

Accumulation and reduction. Finish accumulatorsModule 1: Section 2.3Topic 2.3 Lecture , Topic 2.3 Demonstration

Recursive Task Parallelism

worksheet16

lec16-slides

Homework 3

Homework 2  

	WS16-solution
7	Mon	Feb

21

24	Lecture 17: Midterm Review

   

lec17-slides

    

 

	Wed	Feb

23

26	Lecture 18:

Limitations of Functional parallelism.
Abstract vs. real performance. Cutoff Strategy   

Midterm Review

lec18-slides

    

 

	Fri	Feb

25 Module 1: Sections 2.5, 2.6

28	Lecture 19:

Data Races, Functional & Structural Determinism

Fork/Join programming model

Topic 2.

5

7 Lecture, Topic 2.

5

7 Demonstration, Topic 2.

6

8 Lecture, Topic 2.

6  

8 Demonstration

worksheet19

lec19-slides

   

WS19-solution
8	Mon

Feb 28

Mar 03

Lecture 20:

Confinement & Monitor Pattern. Critical sections
Global lock Module 2: Sections 5.1, 5.2, 5.6 Topic 5

Data-Parallel Programming model. Loop-Level Parallelism, Loop Chunking

Module 1: Sections 3.1, 3.2, 3.3

Topic 3.1 Lecture, Topic

5

3.1 Demonstration , Topic

5

3.2 Lecture,

Topic 5

Topic 3.2 Demonstration, Topic

5

3.

6

3 Lecture,

Topic 5

Topic 3.

6

3 Demonstration

worksheet20

l ec20

lec20-slides

         

WS20-solution
	Wed	Mar

02

05	Lecture 21:

N-Body problem, applications and implementations

Barrier Synchronization with Phasers

Module 1: Sections 3.4

Topic 3.4 Lecture, Topic 3.4 Demonstration

worksheet21

lec21-slides

WS21-solution

  worksheet21lec21-slides     

	Fri	Mar

04

07	Lecture 22:

Fork/Join programming model. OS Threads. Scheduler Pattern

Stencil computation. Point-to-point Synchronization with Phasers

Module 1: Sections 4.2, 4.3

Topic 4.2 Lecture, Topic 4.2 Demonstration, Topic 4.3 Lecture, Topic 4.3 Demonstration

Module 2: Sections 2.7, 2.8Topic 2.7 Lecture, Topic 2.7 Demonstration, Topic 2.8 Lecture, Topic 2.8 Demonstration,   

worksheet22

lec22-slides

Homework 4

Homework 3

 

WS22-solution
9	Mon	Mar

07

10	Lecture 23:

 Locks, Atomic variables

Fuzzy Barriers with Phasers

Module

2

1:

7

Section 4.

3

1	Topic 4.1 Lecture, Topic 4.1 Demonstration

Topic 7.3 Lecture

worksheet23

lec23-slides

 

 

  

 

Wed

Mar 09

Lecture 24: Parallel Spanning Tree, other graph algorithms

  worksheet24 lec24-slides 

 

  

 

Fri

Mar 11

 Lecture 25: Linearizability of Concurrent ObjectsModule 2: 7.4Topic 7.4 Lectureworksheet25lec25-slides 

 

   

Mon

Mar 14

No class: Spring Break

     

 

   WedMar 16No class: Spring Break    

 

   

 

Fri

Mar 18

No class: Spring Break

     

 

  

10

Mon

Mar 21

Lecture 26: Java Locks - Soundness and progress guarantees

Module 2: 7.5Topic 7.5 Lecture worksheet26lec26-slides     

 

Wed

Mar 23

Lecture 27: Dining Philosophers Problem

Module 2: 7.6Topic 7.4 Lecture Topic 7.6 Lecture worksheet27lec27-slides

 

   

 

Fri

Mar 25

Lecture 28: Read-Write Pattern. Read-Write Locks. Fairness & starvation

Module 2: 7.3, 7.5Topic 7.3 Lecture, Topic 7.5 Lecture, worksheet28lec28-slides

 

 

 

  

11

Mon

Mar 28

Lecture 29: Task Affinity and locality. Memory hierarchy

  worksheet29lec29-slides

 

 

  

 

Wed

Mar 30

Lecture 30: Reactor Pattern. Web servers

  worksheet30lec30-slides

 

   

 

Fri

Apr 01

Lecture 31: Scan Pattern. Parallel Prefix Sum, uses and algorithms

  worksheet31lec31-slidesHomework 5

Homework 4

  

12

Mon

Apr 04

Lecture 32: Data-Parallel Programming model. Loop-Level Parallelism, Loop ChunkingModule 1: Sections 3.1, 3.2, 3.3Topic 3.1 Lecture , Topic 3.1 Demonstration , Topic 3.2 Lecture,  Topic 3.2 Demonstration, Topic 3.3 Lecture,  Topic 3.3 Demonstrationworksheet32lec32-slides

 

 

  

 

Wed

Apr 06

Lecture 33: Barrier Synchronization with phasers

Module 1: Section 3.4

Topic 3.4 Lecture ,   Topic 3.4 Demonstration

worksheet33lec33-slides

 

   

 

Fri

Apr 08

Lecture 34:  Stencil computation. Point-to-point Synchronization with Phasers

Module 1: Section 4.2, 4.3Topic 4.2 Lecture ,   Topic 4.2 Demonstration, Topic 4.3 Lecture,  Topic 4.3 Demonstrationworksheet34lec34-slides 

 

  

13

Mon

Apr 11

	Homework 3 (CP 1)	WS23-solution
	Wed	Mar 12	Lecture 24: Confinement & Monitor Pattern. Critical sections Global lock	Module 2: Sections 5.1, 5.2	Topic 5.1 Lecture, Topic 5.1 Demonstration, Topic 5.2 Lecture, Topic 5.2 Demonstration, Topic 5.6 Lecture, Topic 5.6 Demonstration	worksheet24	lec24-slides			WS24-solution
	Fri	Mar 14	Lecture 25:  Atomic variables, Synchronized statements	Module 2: Sections 5.4, 7.2	Topic 5.4 Lecture, Topic 5.4 Demonstration, Topic 7.2 Lecture	worksheet25	lec25-slides			WS25-solution
	Mon	Mar 17	No class: Spring Break
	Wed	Mar 19	No class: Spring Break
	Fri	Mar 21	No class: Spring Break
10	Mon	Mar 24	Lecture 26: Java Threads and Locks	Module 2: Sections 7.1, 7.3	Topic 7.1 Lecture, Topic 7.3 Lecture	worksheet26	lec26-slides			WS26-solution
	Wed	Mar 26	Lecture 27: Read-Write Locks,  Soundness and progress guarantees	Module 2: Section 7.3	Topic 7.3 Lecture, Topic 7.5 Lecture	worksheet27	lec27-slides		Homework 3 (CP 2)	WS27-solution
	Fri	Mar 28	Lecture 28: Dining Philosophers Problem		Topic 7.6 Lecture	worksheet28	lec28-slides			WS28-solution
11	Mon	Mar 31	Lecture 29:  Linearizability of Concurrent Objects	Module 2: Sections 7.4	Topic 7.4 Lecture	worksheet29	lec29-slides			WS29-solution
	Wed	Apr 02	Lecture 30:  Parallel Spanning Tree, other graph algorithms			worksheet30	lec30-slides			WS30-solution
	Fri	Apr 04	No class
12	Mon	Apr 07	Lecture 31

Lecture 35

: Message-Passing programming model with Actors

Module 2: Sections 6.1, 6.2

Topic 6.1 Lecture,

 

Topic 6.1 Demonstration,   Topic 6.2 Lecture, Topic 6.2 Demonstration

worksheet31

lec31-slides

WS31-solution

worksheet35lec35-slides

 

 

   

	Wed	Apr

13

09

Lecture

36

32: Active Object Pattern. Combining Actors with task parallelism

Module 2: Sections 6.3, 6.4

Topic 6.3 Lecture,

 

Topic 6.3 Demonstration,   Topic 6.4 Lecture, Topic 6.4 Demonstration

worksheet36

worksheet32

lec36

lec32-slides	Homework 4	Homework 3 (All)	WS32-solution
	Fri	Apr 11	Lecture 33: Task Affinity and locality. Memory hierarchy

 

worksheet33

  

lec33-slides			WS33-solution
13	Mon	Apr 14	Lecture 34

 FriApr 15Lecture 37

: Eureka-style Speculative Task Parallelism

  worksheet37lec37-slides   

			worksheet34	lec34-slides			WS34-solution
	Wed	Apr 16	Lecture 35: Scan Pattern. Parallel Prefix Sum			worksheet35	lec35-slides		Homework 4 (CP 1)	WS35-solution
	Fri	Apr 18	Lecture 36: Scan Pattern. Parallel Prefix Sum cont.				lec36-slides

 

14	Mon	Apr

18

21

Lecture

38: Overview of other models and frameworks

37: Parallel Prefix Sum applications

worksheet37

lec37-slides

WS37-solution

   lec38-slides     

	Wed	Apr

20

23

Lecture

39

38: Course Review (Lectures 19-

38lec39

34)

   

lec38-slides

    

Homework 4 (All)
	Fri	Apr

22

25

Lecture

40

39: Course Review (Lectures 19-

38

34)

   lec40

lec39-slides

 Homework 5  

Lab Schedule

Grading, Honor Code Policy, Processes and Procedures

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Labs must be submitted by the following Wednesday at 4:30pmFriday at 4pm.  Labs must be checked off by a TA.

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