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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• 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

 

 

WS1-solution

  

	Wed	Jan

12

11	Lecture 2:  Functional Programming

GList.java 

worksheet2

lec02-slides

 

 

WS2-solution

  

	Fri	Jan

14

13	Lecture 3: Higher order functions

  WS3

worksheet3

lec3-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

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

3 Lecture, Topic 1.

1

3 Demonstration, Topic 4.5 Lecture, Topic 4.5 Demonstration

worksheet9

lec9-

slides   

slides

WS9-solution

  

	Wed	Feb

02

01	Lecture 10: Event-based programming model

 

   

worksheet10

lec10-slides

 

Homework 1

WS10-solution

  

	Fri	Feb

04

03	Lecture 11: GUI programming

as an example of event-based,
futures/callbacks in GUI programming

, Scheduling/executing computation graphs

Module 1: Section 1.4

Topic 1.4 Lecture , Topic 1.4 Demonstration

worksheet11

lec11-slides

Homework 2

  worksheet11lec11-slidesHomework 2Homework 1

WS11-solution

 

5	Mon	Feb

07

06	Lecture 12:

Scheduling/executing computation graphs

Abstract performance metrics, Parallel Speedup, Amdahl's Law

Module 1: Section 1.

4

5

Topic 1.

4

5 Lecture , Topic 1.

4

5 Demonstration

worksheet12

lec12-slides

  

WS12-solution

 

 

	Wed	Feb

09

08	Lecture 13:

Parallel Speedup, Critical Path, Amdahl's Law

Accumulation and reduction. Finish accumulators

Module 1: Section

1

2.

5

3

Topic

1

2.

5

3 Lecture

,

Topic

1

2.

5

3 Demonstration

worksheet13

lec13-slides

 

WS13-solution

  

	Fri	Feb

11

10	No class: Spring Recess

 

        

6	Mon	Feb

14

13	Lecture 14:

Accumulation and reduction. Finish accumulators

Data Races, Functional & Structural Determinism

Module 1:

Section

Sections 2.

3

5, 2.6

Topic 2.5 Lecture ,  Topic 2.5 Demonstration,  Topic 2.

3

6 Lecture,  Topic 2.

3

6 Demonstration

worksheet14

lec14-slides

  

WS14-solution

  

	Wed	Feb

16

15	Lecture 15:

Recursive Task Parallelism    

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

worksheet15

lec15-slides

 

 

 

Homework 2

WS15-solution

 

	Fri

 Fri

Feb

18

17	Lecture 16:

Data Races, Functional & Structural DeterminismModule 1: Sections 2.5, 2.6Topic 2.5 Lecture ,  Topic 2.5 Demonstration,  Topic 2.6 Lecture,  Topic 2.6 Demonstration

Recursive Task Parallelism

worksheet16

lec16-slides

Homework 3

Homework 2

WS16-solution

 

7	Mon	Feb

21 

20	Lecture 17: Midterm Review

   lec17-slides    

lec17-slides
	Wed	Feb

23  worksheet18

22	Lecture 18:

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

Midterm Review

lec18-slides

  WS18-solution 

 

	Fri	Feb

25 

24	Lecture 19:

Fork/Join programming model. OS Threads. Scheduler Pattern 

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

Module 1: Sections

2

3.

7

1, 3.2, 3.

8

3

Topic

2

3.

7

1 Lecture, Topic 3.1 Demonstration , Topic 3.2 Lecture,  Topic 3.

7

2 Demonstration, Topic

2

3.

8

3 Lecture,

Topic 2

Topic 3.

8

3 Demonstration

, 

worksheet19

lec19-slides

  

WS19-solution

 

8	Mon	Feb

28

27	Lecture 20:

Confinement & Monitor Pattern. Critical sections
Global lock

Barrier Synchronization with Phasers

Module

2

1: Sections

5.1, 5.2, 5.6

3.4

Topic

5

3.

1

4 Lecture, Topic

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

3.4 Demonstration

worksheet20

lec20-slides

   

 

Wed

WS20-solution

 

Wed

Mar

02

01	Lecture 21:

  Atomic variables, Synchronized statements

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 5.4, 7.2

Topic 5.4 Lecture, Topic 5.4 Demonstration, Topic 7.2 Lecture

worksheet21

lec21-slides

  

WS21-solution

 

 

	Fri	Mar

04

03	Lecture 22:

Parallel Spanning Tree, other graph algorithms 

Fuzzy Barriers with Phasers

Module 1: Section 4.1

Topic 4.1 Lecture, Topic 4.1 Demonstration

  

worksheet22

lec22-slides

Homework 4

Homework 3

WS22-solution

 

9	Mon	Mar

07

06	Lecture 23:

Java Threads and LocksModule 2: Sections 7.1, 7.3Topic 7.1 Lecture, Topic 7.3 Lecture  

Fork/Join programming model. OS Threads. Scheduler Pattern

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

worksheet23

lec23-slides

 

Homework 3 (CP 1)

WS23-solution

  

	Wed	Mar

09

08	Lecture 24:

Java Locks - Soundness and progress guarantees  

Confinement & Monitor Pattern. Critical sections Global lock

Module 2:

7

Sections 5.1, 5.2

Topic

7

5.

5 Lecture

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

11

10	Lecture 25:

Dining Philosophers Problem  

Atomic variables, Synchronized statements

Module 2: Sections 5.4, 7.

6

2

Topic

7

5.

6 Lectureworksheet25

4 Lecture, Topic 5.4 Demonstration, Topic 7.2 Lecture

worksheet25

lec25-slides

  

WS25-solution

  

	Mon	Mar

14

13	No class: Spring Break

        

Wed

Mar

16

15	No class: Spring Break

    

 

 

   

Fri

Mar

18

17	No class: Spring Break

     

 

  

10

Mon

10	Mon	Mar 20

Mar 21  

Lecture 26:

N-Body problem, applications and implementations 

Parallel Spanning Tree, other graph algorithms

worksheet26

lec26-slides

  

WS26-solution

  

	Wed	Mar

23

22	Lecture 27:

Read-Write Locks, Linearizability of Concurrent Objects

Java Threads and Locks

Module 2: Sections 7.

3

1, 7.

4

3

Topic 7.

3

1 Lecture, Topic 7.

4  

3 Lecture

worksheet27

lec27-slides

 

Homework 3 (CP 2)

WS27-solution

  

	Fri	Mar

25

24	Lecture 28:

Message-Passing programming model with Actors

Java Locks - Soundness and progress guarantees

Module 2:

6.1, 6.2

Section 7.5

Topic

6

7.

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

5 Lecture

worksheet28

lec28-slides

 

 

 

WS28-solution

 

11	Mon	Mar

28

27	Lecture 29:

Active Object Pattern. Combining Actors with task parallelism 

Dining Philosophers Problem

Module 2:

6

Section 7.

3,

6

.4

Topic

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

7.6 Lecture

worksheet29

lec29-slides

 

 

 

WS29-solution

 

Wed

Mar

30

29	Lecture 30:

Task Affinity and locality. Memory hierarchy 

Read-Write Locks, Linearizability of Concurrent Objects

Module 2: Sections 7.3, 7.4

Topic 7.3 Lecture, Topic 7.4 Lecture

  

worksheet30

lec30-slides

 

 

WS30-solution

  

	Fri

Apr 01

Mar 31

Lecture 31:

Data

Message-

Parallel Programming model. Loop-Level Parallelism, Loop ChunkingModule 1: Sections 3

Passing programming model with Actors

Module 2: Sections 6.1,

3

6.2

, 3.3

Topic

3

6.1 Lecture, Topic

3

6.1 Demonstration,   Topic

3

6.2 Lecture,

 Topic 3

Topic 6.2 Demonstration

, Topic 3.3 Lecture,  Topic 3.3 Demonstration

worksheet31

lec31-slidesHomework 5

Homework 4

WS31-solution 

	lec31-slides			WS31-solution
12	Mon	Apr 03	No class					Homework 4	Homework 3 (All)
	Wed	Apr 05	Lecture 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	worksheet32	lec32-slides			WS32-solution
	Fri	Apr 07	Lecture 33: Task Affinity and locality. Memory hierarchy			worksheet33	lec33-slides			WS33-solution

12

Mon

Apr 04

Lecture 32: Barrier Synchronization with PhasersModule 1: Section 3.4Topic 3.4 Lecture,  Topic 3.4 Demonstrationworksheet32lec32-slides

 

 

WS32-solution 

 

Wed

Apr 06

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

worksheet33lec33-slides

 

 WS33-solution 

 

Fri

Apr 08

Lecture 34: Fuzzy Barriers with Phasers

Module 1: Section 4.1Topic 4.1 Lecture, Topic 4.1 Demonstrationworksheet34lec34-slides 

 

WS34-solution 

13	Mon	Apr

11

10

Lecture

35

34: Eureka-style Speculative Task Parallelism

 

 

worksheet35

worksheet34

lec34

lec35WS35

-slides

 

 

WS34-solution

  

	Wed	Apr

13

12

Lecture

36

35: Scan Pattern. Parallel Prefix Sum

 

 

worksheet36

worksheet35

lec35

lec36

-slides

     

	Homework 4 (CP 1)	WS35-solution
	Fri	Apr

15

14

Lecture

37

36: Parallel Prefix Sum applications

  worksheet37

worksheet36

lec36

lec37 

-slides

   

WS36-solution
14	Mon	Apr

18

17

Lecture

38 

37: Overview of other models and frameworks

   lec38-slides    

lec37-slides
	Wed	Apr

20

19

Lecture

39

38: Course Review (Lectures 19-

38lec39

34)

  

lec38-slides

    

Homework 4 (All)

 

	Fri	Apr

22

21

Lecture

40

39: Course Review (Lectures 19-

38lec40

34)

   

lec39-slides

 Homework 5  

Lab Schedule

Grading, Honor Code Policy, Processes and Procedures

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