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

, 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 13

Lecture 14: Recursive Task Parallelism

 

worksheet14

    6

Mon

Feb 14

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

Lecture 14: Accumulation and reduction. Finish accumulators

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

lec14

lec15-slides

    

 

Wed

Feb 16

Lecture 15: Recursive Task Parallelism  

  worksheet15lec15-slides

 

 

    FriFeb 18

Lecture 16:  Lightweight task parallelism. Finish/async

Module 1: Section 1.1Topic 1.1 Lecture , Topic 1.1 Demonstrationworksheet16 lec16-slidesHomework 3Homework 2  

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

   lec18-slides    

 

Fri

Feb 25 

Lecture 19: 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 Demonstrationworksheet19lec19-slides    

8

Mon

	Homework 2	WS15-solution
	Fri	Feb 17	Lecture 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

Feb 28

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

Lecture 21: N-Body problem, applications and implementations

  worksheet21lec21-slides    

 

Fri

Mar 04

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

01

Lecture 21:  Atomic variables, Synchronized statements

Module 2: Sections

2

5.4, 7

,

.2

.8

Topic

2

5.

7

4 Lecture, Topic

2

5.

7

4 Demonstration, Topic

2.8 Lecture, Topic 2.8 Demonstration, 

7.2 Lecture	worksheet21	lec21-slides		Homework 3	WS21-solution
	Fri	Mar 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:

 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 08

Lecture 24: Java Locks - Soundness and progress guarantees

Module 2: 7.5

Topic 7.5 Lecture

 

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

Dining Philosophers Problem

Module 2: 7.

4

6

Topic 7.

4

6 Lecture

worksheet25

lec25-slides 

 

  

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     

 

  

Spring Break
10	Mon	Mar

21Module 2: 7.5Topic 7.5 Lecture

20	Lecture 26:

Java Locks - Soundness and progress guarantees  

N-Body problem, applications and implementations

worksheet26

lec26-slides

    

WS26-solution
	Wed	Mar

23

22	Lecture 27:

Dining Philosophers Problem

Read-Write Locks, Linearizability of Concurrent Objects

Module 2: 7.3, 7.4

Module 2: 7.6

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:

7.3, 7.5

6.1, 6.2

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

Topic 7.3 Lecture, Topic 7.5 Lecture,  

worksheet28

lec28-slides

 

 

 

 

WS28-solution
11	Mon	Mar

28

Lecture 29: Task Affinity and locality. Memory hierarchy

  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

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

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, 6.2Topic 6

		WS33-solution
	Fri	Apr 07	Lecture 34: Fuzzy Barriers with Phasers	Module 1: Section 4.1	Topic 4.1 Lecture,

 

Topic

6

4.1 Demonstration

,   Topic 6.2 Lecture, Topic 6.2 Demonstration

	worksheet34	lec34-slides			WS34-solution
13	Mon	Apr 10	Lecture 35: Eureka-style Speculative Task Parallelism			worksheet35	lec35-slides			WS35-solution

worksheet35lec35-slides

 

 

   

	Wed	Apr

13Module 2: 6.3, 6.4

Topic 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    

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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