COMP 322: Fundamentals of Parallel Programming (Spring

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2023)

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

2023)	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

09	Lecture 1: Introduction

  

worksheet1

lec1-

slides  

 

 

slides

WS1-solution

  

	Wed	Jan

12

11	Lecture 2:  Functional Programming

GList.java 

worksheet2

lec02-slides

 

 

Jan 14

WS2-solution

  Fri

Fri

Jan 13

Lecture 3: Higher order functions

 

worksheet3

worksheet3 

lec3-

slides   

slides

WS3-solution

 

2	Mon	Jan

17

16	No class: MLK

        

 

	Wed	Jan

19

18	Lecture 4: Lazy Computation

LazyList.java

Lazy.java

 

worksheet4

lec4-slides

  

 

WS4-solution

 

Fri

Jan

21

20	Lecture 5: Java Streams

 

worksheet5

 worksheet5

lec5-slides

Homework 1

 

WS5-solution

 

3	Mon	Jan

24

23

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

25

Lecture 7: Futures

Module 1: Section 2.1

Topic 2.1 Lecture , Topic 2.1 Demonstration

worksheet7

lec7-slides

 

 

WS7-solution

  

	Fri	Jan

28

27	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

  

WS8-solution

 

4	Mon

 

Jan

31

30	Lecture 9:

Async, Finish

Ideal Parallelism, Data-Driven Tasks

Module 1: Section 1.

1

3, 4.5

 

Topic 1.

1 Lecture, Topic 1.1 Demonstration, Topic 4.5 Lecture, Topic 4.5 Demonstration

worksheet9

lec9-slides   WS9-solution  WedFeb 02Lecture 10: Event-based programming model

 

  worksheet10lec10-slides  WS10-solution  FriFeb 04Lecture 11: GUI programming as an example of event-based,
futures/callbacks in GUI programming  worksheet11lec11-slidesHomework 2Homework 1WS11-solution 5

Mon

Feb 07

Lecture 12: Scheduling/executing computation graphs
Abstract performance metricsModule 1: Section 1.4Topic 1.4 Lecture , Topic 1.4 Demonstrationworksheet12lec12-slides  WS12-solution 

 

Wed

Feb 09

Lecture 13: Parallel Speedup, Critical Path, Amdahl's Law

3 Lecture, Topic 1.3 Demonstration, Topic 4.5 Lecture, Topic 4.5 Demonstration	worksheet9	lec9-slides			WS9-solution
	Wed	Feb 01	Lecture 10: Event-based programming model			worksheet10	lec10-slides		Homework 1	WS10-solution
	Fri	Feb 03	Lecture 11: GUI programming, Scheduling/executing computation graphs	Module 1: Section 1.

5

4

Topic 1.

5

4 Lecture , Topic 1.

5

4 Demonstration

worksheet13

worksheet11

lec13WS13

lec11-slides

  

Homework 2

WS11-solution

 Fri

5

 

Mon

Feb

11Lecture 14

06

No class: Spring Recess

 

        6

Mon

Feb 14

Lecture 12: Abstract performance metrics, Parallel Speedup, Amdahl's Law	Module 1: Section 1.5	Topic 1.5 Lecture , Topic 1.5 Demonstration	worksheet12	lec12-slides			WS12-solution
	Wed	Feb 08	Lecture 13: Accumulation and reduction. Finish accumulators	Module 1: Section 2.3	Topic 2.3 Lecture   Topic 2.3 Demonstration

worksheet14

worksheet13

lec14WS14

lec13-slides

 

WS13-solution

 

 

Wed

Feb 16Lecture 15

	Fri	Feb 10	No class: Spring Recess
6	Mon	Feb 13	Lecture 14: Recursive Task Parallelism

  worksheet15

worksheet14

lec15WS15

lec14-slides

 

 

 Fri

WS14-solution

  

Wed

Feb

18

15

Lecture

16

15: Data Races, Functional & Structural Determinism

Module 1: Sections 2.5, 2.6

Topic 2.5 Lecture ,  Topic 2.5 Demonstration

,  Topic 2.6 Lecture,  Topic 2.6 Demonstration

,  Topic 2.6 Lecture,  Topic 2.6 Demonstration	worksheet15	lec15-slides		Homework 2	WS15-solution
	Fri	Feb 17	Lecture 16: Limitations of Functional parallelism. Abstract vs. real performance. Cutoff Strategy			worksheet16	lec16-slides	Homework 3

Homework 2

WS16-solution

 

7	Mon	Feb

21

20	Lecture 17: Midterm Review

   

 

lec17-slides

    

Wed

Feb 23

Lecture 18: Limitations of Functional parallelism.
Abstract vs. real performance. Cutoff Strategy

  worksheet18

Feb 22

Lecture 18: Midterm Review

lec18-slides

  

WS18-solution

  

	Fri	Feb

25 

24	Lecture 19: Fork/Join programming model. OS Threads. Scheduler Pattern

Module 1: Sections 2.7, 2.8

Topic 2.7 Lecture, Topic 2.7 Demonstration, Topic 2.8 Lecture, Topic 2.8 Demonstration,

worksheet19

lec19-slides

  

WS19-solution

 

8	Mon	Feb

28

27

Lecture 20: Confinement & Monitor Pattern. Critical sections Global lock

Module 2: Sections 5.1, 5.2, 5.6

Topic 5.1 Lecture, Topic 5.1 Demonstration, Topic 5.2 Lecture, Topic 5.2 Demonstration, Topic 5.6 Lecture, Topic 5.6 Demonstration

worksheet20

lec20-slides

   

WS20-solution

  

	Wed	Mar

02 

01

Lecture 21:  Atomic variables, Synchronized statements

Module 2: Sections 5.4, 7.2

Topic 5.4 Lecture, Topic 5.4 Demonstration, Topic 7.2 Lecture

worksheet21

lec21-slides

 

 

Homework 3

WS21-solution

 

Fri

Mar

04

03	Lecture 22: Parallel Spanning Tree, other graph algorithms

 

worksheet22

lec22-slides

Homework 4

Homework 3

WS22-solution

 

9	Mon	Mar

07

06

Lecture 23: Java Threads and Locks

Module 2: Sections 7.1, 7.3

Topic 7.1 Lecture, Topic 7.3 Lecture

worksheet23

lec23-slides

  

WS23-solution

  

	Wed	Mar

09

08

Lecture 24: Java Locks - Soundness and progress guarantees

Module 2: 7.5

Topic 7.5 Lecture

worksheet24

lec24-slides

  

WS24-solution

  

	Fri	Mar

11

10

Lecture 25: Dining Philosophers Problem

Module 2: 7.6

Topic 7.6 Lecture

worksheet25

lec25-slides

  

WS25-solution

  

Mon

Mar 14

No class: Spring Break

     

 

   WedMar 16

	Mon	Mar 13	No class: Spring Break

  

	Wed

  

 

   

Mar 15	No class: Spring Break
	Fri	Mar

18

17	No class: Spring Break

     

 

  

10	Mon	Mar

21

20	Lecture 26: N-Body problem, applications and implementations

  

worksheet26

lec26-slides

  

WS26-solution

 

 

	Wed	Mar

23

22

Lecture 27: Read-Write Locks, Linearizability of Concurrent Objects

Module 2: 7.3, 7.4

Topic 7.3 Lecture, Topic 7.4 Lecture

worksheet27

lec27-

slides

 

 

slides

WS27-solution

  

	Fri	Mar

25

24

Lecture 28: Message-Passing programming model with Actors

Module 2: 6.1, 6.2

Topic 6.1 Lecture, Topic 6.1 Demonstration,   Topic 6.2 Lecture, Topic 6.2 Demonstration

worksheet28

lec28-slides

 

 

 

WS28-solution

 

11	Mon	Mar

28

27

Lecture 29: Active Object Pattern. Combining Actors with task parallelism

Module 2: 6.3, 6.4

Topic 6.3 Lecture, Topic 6.3 Demonstration,   Topic 6.4 Lecture, Topic 6.4 Demonstration

worksheet29

lec29-slides

 

 

WS29-solution

  

	Wed	Mar

30

29	Lecture 30: Task Affinity and locality. Memory hierarchy

   

worksheet30

lec30-slides

 

Homework 4

WS30-solution

  

	Fri

Apr 01

Mar 31

Lecture 31: Data-Parallel Programming model. Loop-Level Parallelism, Loop Chunking

Module 1: Sections 3.1, 3.2, 3.3

Topic 3.1 Lecture, Topic 3.1 Demonstration , Topic 3.2 Lecture,  Topic 3.2 Demonstration, Topic 3.3 Lecture,  Topic 3.3 Demonstration

worksheet31

lec31-slides

Homework 5

Homework 4

WS31-solution

 

12	Mon	Apr

04

03

Lecture 32: Barrier Synchronization with Phasers

Module 1: Section 3.4

Topic 3.4 Lecture,  Topic 3.4 Demonstration

worksheet32

lec32-slides

 

 

WS32-solution

 

 

	Wed	Apr

06

05

Lecture 33:  Stencil computation. Point-to-point Synchronization with Phasers

Module 1: Section 4.2, 4.3

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

worksheet33

lec33-slides

 

 

WS33-solution

  

	Fri	Apr

08

07

Lecture 34: Fuzzy Barriers with Phasers

Module 1: Section 4.1

Topic 4.1 Lecture, Topic 4.1 Demonstration

worksheet34

lec34-slides

  

WS34-solution

 

13	Mon	Apr

11

10	Lecture 35: Eureka-style Speculative Task Parallelism

  

worksheet35

lec35-slides

 

 

WS35-solution

  

	Wed	Apr

13

12	Lecture 36: Scan Pattern. Parallel Prefix Sum

 

 

 

worksheet36

lec36-slides

    

WS36-solution
	Fri	Apr

15

14	Lecture 37: Parallel Prefix Sum applications

  

worksheet37

lec37-slides    

	lec37-slides
14	Mon	Apr

18

17	Lecture 38: Overview of other models and frameworks

   

lec38-slides

     

	Wed	Apr

20

19	Lecture 39: Course Review (Lectures 19-38)

    

lec39-slides

    

Homework 5
	Fri	Apr

22

21	Lecture 40: Course Review (Lectures 19-38)

   

lec40-slides

 Homework 5  

Lab Schedule

Grading, Honor Code Policy, Processes and Procedures

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