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

 

 

WS2-solution

  

	Fri	Jan

14

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

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

  

WS9-solution

  

	Wed	Feb

02

01	Lecture 10: Event-based programming model

 

   

worksheet10

lec10-slides

 

Homework 1

WS10-solution

  

	Fri	Feb

04  worksheet11

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

Homework 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

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

 

 

    FriFeb 18

Lecture 16: Data Races, Functional & Structural Determinism

Module 1: Sections 2.5, 2.6Topic 2.5 Lecture ,  Topic 2.5 Demonstration,  Topic 2.6 Lecture,  Topic 2.6 Demonstration 

	Homework 2	WS15-solution
	Fri	Feb 17	Lecture 16: Recursive Task Parallelism			worksheet16	lec16-slides	Homework 3

Homework 2 

WS16-solution
7	Mon	Feb

21

20	Lecture 17: Midterm Review

   

lec17-slides

     

	Wed	Feb

23

22	Lecture 18:

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

 

Midterm Review

lec18-slides

    

Fri

Feb

25 

TBD

   lec19-slides    

8

Mon

Feb 28

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

Module 2: Sections 5.1, 5.2, 5.6 Topic 5

24

Lecture 19: 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

worksheet19

lec20

lec19-slides

         

			WS19-solution
8	Mon	Feb 27	Lecture 20: Barrier Synchronization with Phasers	Module 1: Sections 3.4	Topic 3.4 Lecture, Topic 3.4 Demonstration	worksheet20	lec20-slides			WS20-solution
	Wed	Mar 01	Lecture 21: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	worksheet21	lec21-slides			WS21-solution
	Fri	Mar 03	Lecture 22: Fuzzy Barriers with Phasers	Module 1: Section 4.1	Topic 4.1 Lecture, Topic 4.1 Demonstration	worksheet22	lec22-slides			WS22-solution
9	Mon	Mar 06	Lecture 23:  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 08	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

 

Wed

Mar 02

Lecture 21: N-Body problem, applications and implementations

  worksheet21lec21-slides    

 

Fri

Mar 04

Lecture 22: Fork/Join programming model. OS Threads. Scheduler Pattern

Module 2: Sections 2.7, 2.8Topic 2.7 Lecture, Topic 2.7 Demonstration, Topic 2.8 Lecture, Topic 2.8 Demonstration,  worksheet22lec22-slidesHomework 4

Homework 3

  

9

Mon

Mar 07

Lecture 23:  Locks, Atomic variables

Module 2: 7.3

Topic 7.3 Lecture

worksheet23 lec23-slides  

 

  

 

Wed

Mar 09

Lecture 24: Parallel Spanning Tree, other graph algorithms

  

worksheet24

lec24-slides

 

 

  

 

		WS24-solution
	Fri	Mar

11

10	Lecture 25:

Linearizability of Concurrent Objects

Atomic variables, Synchronized statements

Module 2: Sections 5.4, 7.

4

2

Topic

7

5.4 Lecture, Topic 5.4 Demonstration, Topic 7.2 Lecture

worksheet25

lec25-slides

 

 

  

		WS25-solution
	Mon	Mar 13

 

Mon

Mar 14

No class: Spring Break

     

 

   WedMar 16

No class: Spring Break

 

	Wed

  

 

   

Mar 15

No class: Spring Break

 

	Fri	Mar

18

17	No class: Spring Break

     

 

  

10

Mon

Mar 21

Lecture 26: Java Locks - Soundness and progress guarantees

Module 2: 7.5

10	Mon	Mar 20	Lecture 26: Parallel Spanning Tree, other graph algorithms

Topic 7.5 Lecture  

worksheet26

lec26-slides

    

WS26-solution
	Wed	Mar

23

22	Lecture 27:

Dining Philosophers Problem

Java Threads and Locks

Module 2: Sections 7.1, 7.

6

3

Topic 7.

4

1 Lecture, Topic 7.

6

3 Lecture

worksheet27

lec27-slides

 

   

Homework 3 (CP 2)

WS27-solution

 

	Fri	Mar

25

24	Lecture 28:

Read-Write Pattern. Read-Write Locks. Fairness & starvation

Java Locks - Soundness and progress guarantees

Module 2:

7.3,

Section 7.5

Topic 7.

3 Lecture, Topic 7.

5 Lecture

,

worksheet28

lec28-slides

 

 

 

  

		WS28-solution
11	Mon	Mar

28

27	Lecture 29:

Task Affinity and locality. Memory hierarchy

Dining Philosophers Problem

Module 2: Section 7.6

Topic 7.6 Lecture

   

worksheet29

lec29-slides

 

 

  

WS29-solution
	Wed	Mar

30

29	Lecture 30:

Reactor Pattern. Web servers

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: Message-Passing programming model with Actors

Module 2:

 Scan Pattern. Parallel Prefix Sum, uses and algorithms

Sections 6.1, 6.2

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

  

worksheet31

lec31-slides

Homework 5 

Homework 4

 

WS31-solution
12	Mon	Apr

04

03	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

 

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

 

 

  

	Homework 3 (All)	WS32-solution

Wed

Apr

06

05	Lecture 33:

Barrier Synchronization with phasersModule 1: Section 3.4Topic 3.4 Lecture ,   Topic 3.4 Demonstration 

Task Affinity and locality. Memory hierarchy

worksheet33

lec33-slides

 

   

WS33-solution
	Fri	Apr

08

07	Lecture 34:

  Stencil computation. Point-to-point Synchronization with PhasersModule 1: Section 4.2, 4.3Topic 4.2 Lecture ,   Topic 4.2 Demonstration, Topic 4.3 Lecture,  Topic 4.3 Demonstration 

Eureka-style Speculative Task Parallelism

worksheet34

lec34-slides

 

 

 

WS34-solution
13	Mon	Apr

11

10	Lecture 35:

Message-Passing programming model with ActorsModule 2: 6.1, 6.2Topic 6.1 Lecture ,   Topic 6.1 Demonstration ,   Topic 6.2 Lecture, Topic 6.2 Demonstration 

N-Body problem, applications and implementations

worksheet35

lec35-slides

 

 

  

WS35-solution
	Wed	Apr

13Module 2: 6.3, 6.4Topic 6.3 Lecture ,   Topic 6.3 Demonstration ,   Topic 6.4 Lecture, Topic 6.4 Demonstration

12	Lecture 36:

Active Object Pattern. Combining Actors with task parallelism  

Scan Pattern. Parallel Prefix Sum

worksheet36

lec36-slides

    

WS36-solution
	Fri	Apr

15 

14	Lecture 37:

Eureka-style Speculative Task Parallelism 

Parallel Prefix Sum applications

worksheet37

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 4
	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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