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

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

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 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 13

Lecture 14: Recursive Task Parallelism

 Lecture 14: Accumulation and reduction. Finish accumulators

worksheet14

    6

Mon

Feb 14

lec14-slides			WS14-solution
	Wed	Feb 15	Lecture 15: Data Races, Functional & Structural Determinism	Module 1:

Section

Sections 2.5, 2.

3

6	Topic 2.5 Lecture ,  Topic 2.

3 Lecture

5 Demonstration,  Topic 2.6 Lecture,  Topic 2.

3

6 Demonstration

worksheet14

worksheet15

lec14WS14

lec15-slides

   

Homework 2

WS15-solution

 

Fri

Wed

Feb

16

17

Lecture

15: Recursive Task Parallelism    worksheet15lec15-slides

 

 

 WS15-solution  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 Demonstrationworksheet16 lec16-slidesHomework 3Homework 2WS16-solution 

7

Mon

Feb 21

Lecture 17: Midterm Review

   lec17-slides    

 

Wed

Feb 23

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

  worksheet18lec18-slides  WS18-solution 

 

Fri

Feb 25 

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

Module 1: Sections 2.7, 2.8Topic 2.7 Lecture, Topic 2.7 Demonstration, Topic 2.8 Lecture, Topic 2.8 Demonstration, worksheet19lec19-slides  WS19-solution 

8

Mon

Feb 28

16: Limitations of Functional parallelism. Abstract vs. real performance. Cutoff Strategy			worksheet16	lec16-slides	Homework 3		WS16-solution
7	Mon	Feb 20	Lecture 17: Midterm Review				lec17-slides
	Wed	Feb 22	Lecture 18: Midterm Review				lec18-slides			WS18-solution
	Fri	Feb 24	Lecture 19: Fork/Join programming model. OS Threads. Scheduler Pattern		Topic 2.7 Lecture, Topic 2.7 Demonstration, Topic 2.8 Lecture, Topic 2.8 Demonstration,	worksheet19	lec19-slides			WS19-solution
8	Mon	Feb 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

Demonstrationworksheet20lec20-slides        WS20-solution 

 

Wed

Mar 02

Lecture 21:  Atomic variables, Synchronized statements

Module 2: Sections 5.4, 7.2

Topic 5.4

Lecture, Topic 5.

4 Demonstration, Topic 7.2 Lectureworksheet21lec21-slides  WS21-solution 

 

Fri

Mar 04

Lecture 22: Parallel Spanning Tree, other graph algorithms 

  worksheet22lec22-slidesHomework 4

Homework 3

WS22-solution 

9

Mon

Mar 07

Lecture 23: Java Threads and Locks

6 Demonstration	worksheet20	lec20-slides			WS20-solution
	Wed	Mar 01	Lecture 21:  Atomic variables, Synchronized statements	Module 2: Sections

7

5.

1

4, 7.

3

2

Topic

7

5.

1 Lecture

4 Lecture, Topic 5.4 Demonstration, Topic 7.

3

2 Lecture

worksheet23

worksheet21

lec23WS23

lec21-slides

 

 

 

Homework 3

WS21-solution

 

 

Fri

Mar 11

 Lecture 25: Dining Philosophers Problem  Module 2: 7.6Topic 7.6 Lectureworksheet25lec25-slides 

 

WS25-solution  

Mon

Mar 14

No class: Spring Break

     

 

   WedMar 16No class: Spring Break    

 

   

 

Fri

Mar 18

Fri

Wed

Mar 09

Lecture 24: Java Locks - Soundness and progress guarantees  

Module 2: 7.5Topic 7.5 Lecture worksheet24 lec24-slides 

 

WS24-solution 

Mar 03	Lecture 22: Parallel Spanning Tree, other graph algorithms			worksheet22	lec22-slides	Homework 4		WS22-solution
9	Mon	Mar 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 08	Lecture 24: Java Locks - Soundness and progress guarantees	Module 2: 7.5	Topic 7.5 Lecture	worksheet24	lec24-slides			WS24-solution
	Fri	Mar 10	Lecture 25: Dining Philosophers Problem	Module 2: 7.6	Topic 7.6 Lecture	worksheet25	lec25-slides			WS25-solution
	Mon	Mar 13	No class: Spring Break

  

	Wed

   

 

 

Mar 15	No class: Spring Break
	Fri	Mar 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

  

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:

Scan Pattern. Parallel Prefix Sum 

Eureka-style Speculative Task Parallelism

worksheet35

lec35-slides

 

 

  

WS35-solution
	Wed	Apr

13

12	Lecture 36: Scan Pattern. Parallel Prefix Sum

applications   

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 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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