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  

 

 

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: 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

  

worksheet11

lec11-slides

Homework 2

Homework 1  

	WS11-solution
5	Mon	Feb

07

06

Lecture 12: Scheduling/executing computation graphs Abstract performance metrics

Module 1: Section 1.4

Topic 1.4 Lecture , Topic 1.4 Demonstration

worksheet12

lec12-slides

    

 

		WS12-solution
	Wed	Feb

09

08	Lecture 13:

Lightweight task parallelism. Finish/async

Parallel Speedup, Critical Path, Amdahl's Law

Module 1: Section 1.

1

5

Topic 1.

1

5 Lecture , Topic 1.

1

 

5 Demonstration

worksheet13

lec13-slides

   

	WS13-solution

Fri

Feb

11

10	No class: Spring Recess

 

        

6	Mon	Feb

14

13	Lecture 14:

Parallel Speedup, Critical Path, Amdah'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

worksheet14

lec14-slides

    

		WS14-solution

Wed

Feb

16

15	Lecture 15: Recursive Task Parallelism

  

worksheet15

lec15-slides

 

 

    

	Homework 2	WS15-solution
	Fri	Feb

18

17	Lecture 16:

Accumulation and reduction. Finish accumulators

Data Races, Functional & Structural Determinism

Module 1:

Section

Sections 2.5, 2.

3

6

Topic 2.

3 Lecture ,

5 Lecture ,  Topic 2.5 Demonstration,  Topic 2.

3  

6 Lecture,  Topic 2.6 Demonstration

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

   

worksheet18

lec18-slides

    

WS18-solution
	Fri	Feb

25 Module 1: Sections 2.5, 2.6

24	Lecture 19:

Data Races, Functional & Structural Determinism

Fork/Join programming model. OS Threads. Scheduler Pattern

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

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

l ec20 

lec20-slides

    

WS20-solution
	Wed	Mar

02

01	Lecture 21:

N-Body problem, applications and implementations worksheet21lec21-slides    

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:

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,  

Parallel Spanning Tree, other graph algorithms

worksheet22

lec22-slides

Homework 4

Homework 3

 

WS22-solution
9	Mon	Mar

07

06	Lecture 23:

 Locks, Atomic variables  

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:

Parallel Spanning Tree, other graph algorithms

Java Locks - Soundness and progress guarantees

Module 2: 7.5

Topic 7.5 Lecture

worksheet24

lec24-slides

WS24-solution

  worksheet24 lec24-slides 

 

   

	Fri	Mar

11

10	Lecture 25:

Linearizability of Concurrent Objects

Dining Philosophers Problem

Module 2: 7.

4

6

Topic 7.

4

6 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

Mar 20

Lecture 26: N-Body problem, applications and implementations

Topic 7.5 Lecture  

worksheet26

lec26-slides

    

WS26-solution
	Wed	Mar

23

22	Lecture 27:

Dining Philosophers Problem

Read-Write Locks, Linearizability of Concurrent Objects

Module 2: 7.

6

3, 7.4

Topic 7.

4

3 Lecture, Topic 7.

6

4 Lecture

worksheet27

lec27-slides

 

   

WS27-solution

 

	Fri	Mar

25

24	Lecture 28:

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

Message-Passing programming model with Actors

Module 2:

7

6.

3

1,

7

6.

5

2

Topic

7

6.

3 Lecture, Topic 7.5 Lecture,  

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:

Task Affinity and locality. Memory hierarchy

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 29	Lecture 30: Task Affinity and locality. Memory hierarchy			worksheet30	lec30-slides		Homework 4	WS30-solution
	Fri	Mar 31	Lecture 31

  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 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

worksheet32

worksheet31

lec32

lec31-slides

 

 

  

Homework 5		WS31-solution
12	Mon	Apr 03	Lecture 32

 

Wed

Apr 06

Lecture 33

: Barrier Synchronization with

phasers

Phasers

Module 1: Section 3.4

Topic 3.4

Lecture 

Lecture,

   Topic

Topic 3.4 Demonstration

worksheet33

worksheet32

lec33

lec32-slides

 

   

 

Fri

Apr 08

		WS32-solution
	Wed	Apr 05	Lecture 33

Lecture 34

:  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

worksheet34

worksheet33

lec34

lec33-slides

 

 

  

13

Mon

Apr 11

Lecture 35: Message-Passing programming model with ActorsModule 2: 6.1, 6.2

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

worksheet35lec35-slides

 

 

   WedApr 13Lecture 36: Active Object Pattern. Combining Actors with task parallelism Module 2: 6.3, 6.4Topic 6.3 Lecture ,   Topic 6.3 Demonstration ,   Topic 6.4 Lecture, Topic 6.4 Demonstration 

		WS33-solution
	Fri	Apr 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 10	Lecture 35: Eureka-style Speculative Task Parallelism			worksheet35	lec35-slides			WS35-solution
	Wed	Apr 12	Lecture 36: 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 5
	Fri	Apr

22

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

   

lec40-

slides Homework 5  

slides

Lab Schedule

Grading, Honor Code Policy, Processes and Procedures

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