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COMP 322: Fundamentals of Parallel Programming (Spring

...

2024)


Instructor:

Mackale Joyner, DH 2063

TAs:
Mohamed Abead, Chase Hartsell, Taha Hasan, Harrison Huang, Jerry Jiang, Jasmine Lee, Michelle Lee, Hung Nguyen, Quang Nguyen, Ryan Ramos, Oscar Reynozo, Delaney Schultz, Tina Wen, Raiyan Zannat, Kailin Zhang
Haotian Dang, Andrew Ondara, Stefan Boskovic, Huzaifa Ali, Raahim Absar

Piazza site:

https://piazza.com/rice/

spring2023

spring2024/comp322 (Piazza is the preferred medium for all course communications)

Cross-listing:

ELEC 323

Lecture location:

TBD

Herzstein Amp

Lecture times:

MWF 1:00pm - 1:50pm

Lab locations:

TBD

Mon (Brockman 101)

Tue (Herzstein Amp)

Lab times:

Mon  3:00pm - 3:50pm (SB, HA, AO)

Tue 4

Tue   4:00pm - 4:

50pm

50pm  (RA, HD)

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.

...

There are no required textbooks for the class. Instead, lecture handouts are provided for each module as follows.  You are expected to read the relevant sections in each lecture handout before coming to the lecture.  We will also provide a number of references in the slides and handouts.The links to the latest versions of the lecture handouts are included below:

  • 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:

Lecture Schedule



Week

Day

Date (

2023

2024)

Lecture

Assigned Reading

Assigned Videos (see Canvas site for video links)

In-class Worksheets

Slides

Work Assigned

Work Due

Worksheet Solutions

1

Mon

Jan

09

08

Lecture 1: Introduction



worksheet1lec1-
slides  
slides  



WS1-solution


Wed

Jan

11

10

Lecture 2:  Functional Programming

GList.java


worksheet2lec02-slides



WS2-solution

FriJan
13
12Lecture 3: Higher order functions
worksheet3 


worksheet3 lec3-
slides 
slides   



WS3-solution

2

Mon

Jan

16

15

No class: MLK










Wed

Jan

18

17

Lecture 4: Lazy Computation

LazyList.java

Lazy.java



worksheet4lec4-slides

WS4-solution


Fri

Jan

20

19

Lecture 5: Java Streams



worksheet5lec5-slidesHomework 1
WS5-solution
3MonJan
23
22

Lecture 6: Map Reduce with Java Streams

Module 1: Section 2.4Topic 2.4 Lecture, Topic 2.4 Demonstration  worksheet6lec6-slides



WS6-solution


Wed

Jan

25

24

Lecture 7: Futures

Module 1: Section 2.1Topic 2.1 Lecture , Topic 2.1 Demonstrationworksheet7lec7-slides



WS7-solution


Fri

Jan

27

26

Lecture 8:  Async, Finish, Computation Graphs

, Ideal Parallelism

Module 1: Sections 1.
2
1, 1.
3
2Topic 1.
2
1 Lecture, Topic 1.
2
1 Demonstration, Topic 1.
3
2 Lecture, Topic 1.
3
2 Demonstrationworksheet8
lec8
lec8-slides

WS8-solution

4

Mon


Jan
30
29 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 01
Jan 31Lecture 10: Event-based programming model




worksheet10lec10-slides
Homework 1WS10-solution

FriFeb
03
02Lecture 11: GUI programming
as an example of event-based,
futures/callbacks in GUI programmingworksheet11lec11-slidesHomework 2WS11-solution5

Mon

Feb 06

Lecture 12: Scheduling/
, Scheduling/executing computation graphs
Abstract performance metrics

Module 1: Section 1.4Topic 1.4 Lecture , Topic 1.4 Demonstration
worksheet12
worksheet11
lec12
lec11-slides
WS12
Homework 2
WS11-solution
Wed

5

Mon

Feb

08

05

Lecture
13
12: Abstract performance metrics, Parallel Speedup
, Critical Path
, Amdahl's
Law
Law Module 1: Section 1.5Topic 1.5 Lecture , Topic 1.5 Demonstration
worksheet13
worksheet12
lec13WS13
lec12-slides
 


WS12-solution
Fri


Wed

Feb

10No class: Spring Recess6

Mon

Feb 13

07

Lecture 13

Lecture 14

: Accumulation and reduction. Finish accumulators

Module 1: Section 2.3

Topic 2.3 Lecture   Topic 2.3 Demonstration

worksheet14
worksheet13
lec14
lec13-slides
WS14
 
WS13-solution
Wed


Fri

Feb

15

09

Lecture 15: Recursive Task Parallelism  

worksheet15lec15-slidesWS15-solutionFriFeb 17
No class: Spring Recess










6

Mon

Feb 12

Lecture 14

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
worksheet16
worksheet14
lec16WS16
lec14-slides
Homework 3Homework 2


WS14-solution

7

Mon

Feb 20

Lecture 17: Midterm Review

lec17-slides


Wed

Feb
22
14

Lecture

18

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

worksheet18


worksheet15
lec18
lec15-slides



Homework 2
WS18
WS15-solution

FriFeb
24 
16

Lecture

19:

16: Recursive Task Parallelism  



worksheet16 lec16-slidesHomework 3
WS16-solution

7

Mon

Feb 19

Lecture 17: Midterm Review




lec17-slides




Wed

Feb 21

Lecture 18: Midterm Review




lec18-slides




Fri

Feb 23 

Lecture 19:  Fork/Join programming

Fork/Join programming

model. OS Threads. Scheduler Pattern

  


Topic 2.7 Lecture, Topic 2.7 Demonstration, Topic 2.8 Lecture, Topic 2.8 Demonstration
,
worksheet19lec19-slides

WS19-solution

8

Mon

Feb
27
26 

Lecture 20:

Confinement & Monitor Pattern. Critical sections
Global lock Module 2: Sections 5.1, 5.2, 5.6 Topic 5

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

Module 1: Sections 3.1, 3.2, 3.3Topic 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 Demonstrationworksheet20lec20-slides
 
 
 


WS20-solution


Wed

Mar 01

Feb 28

Lecture 21:

  Atomic variables, Synchronized statements

Barrier Synchronization with Phasers

Module
2
1: Sections
5.4, 7.2
3.4 Topic
5
3.4 Lecture, Topic
5
3.4 Demonstration
, Topic 7.2 Lecture
worksheet21    lec21-slides

WS21-solution


Fri

Mar

03 worksheet22

01

Lecture 22:

Parallel Spanning Tree, other graph algorithms 

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 Demonstrationworksheet22
lec22-slides
Homework 4

Homework 3



WS22-solution

9

Mon

Mar

06

04

Lecture 23:

Java Threads and Locks

Fuzzy Barriers with Phasers

Module
2
1:
Sections 7
Section 4.1
, 7.3
 Topic 4
Topic 7
.1 Lecture, Topic
7
4.
3 Lecture
1 Demonstrationworksheet23lec23-slides

Homework 3 (CP 1)

WS23-solution


Wed

Mar

08

06

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 Lecture
Topic 5.1 Lecture, Topic 5.1 Demonstration, Topic 5.2 Lecture, Topic 5.2 Demonstration, Topic 5.6 Lecture, Topic 5.6 Demonstrationworksheet24 lec24-slides


WS24-solution


Fri

Mar

10

08

 Lecture 25:
Dining Philosophers Problem  
 Atomic variables, Synchronized statementsModule 2: Sections 5.4, 7.
6
2Topic 5.4 Lecture, Topic 5.4 Demonstration, Topic 7.
6 Lecture
2 Lecture worksheet25
lec25
lec25-slides


WS25-solution

Mon

Mar
13
11

No class: Spring Break


 






WedMar
15
13No class: Spring Break








Fri

Mar

17

15

No class: Spring Break









10

Mon

Mar

20

18

Lecture 26

: N-Body problem, applications and implementations 

: Java Threads and Locks

Module 2: Sections 7.1, 7.3Topic 7.1 Lecture, Topic 7.3 Lectureworksheet26lec26-slides

WS26-solution


Wed

Mar

22

20

Lecture 27: Read-Write Locks,

Linearizability of Concurrent Objects

  Soundness and progress guarantees

Module 2: Section 7.3
, 7.4
Topic 7.3 Lecture, Topic 7.
4
5 Lectureworksheet27lec27-slides
WS27-solution


Homework 3 (CP 2)WS27-solution


Fri

Mar

24

22

Lecture 28:

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

Dining Philosophers Problem


Topic 7.6 Lectureworksheet28lec28-slides




WS28-solution

11

Mon

Mar

27

25

Lecture 29:

Active Object Pattern. Combining Actors with task parallelism 

 Linearizability of Concurrent Objects

Module 2:
6.3, 6
Sections 7.4Topic
6.3 Lecture, Topic 6.3 Demonstration,   Topic 6.4 Lecture, Topic 6.4 Demonstration
7.4 Lectureworksheet29lec29-slides



WS29-solution


Wed

Mar

29

27

Lecture 30:

Task Affinity and locality. Memory hierarchy

 Parallel Spanning Tree, other graph algorithms

 
worksheet30lec30-slides



WS30
-solution

Fri

Mar 31

Lecture 31: Data-Parallel Programming model. Loop-Level Parallelism, Loop Chunking

Module 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 Demonstrationworksheet31lec31-slidesHomework 5

Homework 4

WS31
-solution

12

Mon



Fri

Mar 29

Apr 03

Lecture

32: Barrier Synchronization with PhasersModule 1: Section 3.4Topic 3.4 Lecture,  Topic 3.4 Demonstrationworksheet32lec32-slidesWS32-solution

Wed

Apr 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

worksheet33lec33-slidesWS33-solution

31: Message-Passing programming model with Actors

Module 2: Sections 6.1, 6.2Topic 6.1 Lecture, Topic 6.1 Demonstration,   Topic 6.2 Lecture, Topic 6.2 Demonstrationworksheet31lec31-slides


WS31-solution

12

Mon

Apr 01

Lecture 32: Active Object Pattern. Combining Actors with task parallelismModule 2: Sections 6.3, 6.4Topic 6.3 Lecture, Topic 6.3 Demonstration,   Topic 6.4 Lecture, Topic 6.4 Demonstrationworksheet32lec32-slides

Homework 4

Homework 3 (All)

WS32-solution


Wed

Apr 03

Lecture 33: Task Affinity and locality. Memory hierarchy



worksheet33lec33-slides



WS33-solution


Fri

Apr 05

Lecture 34

Fri

Apr 07

Lecture 34: Fuzzy Barriers with Phasers

Module 1: Section 4.1Topic 4.1 Lecture, Topic 4.1 Demonstrationworksheet34lec34-slidesWS34-solution

13

Mon

Apr 10

Lecture 35

: Eureka-style Speculative Task Parallelism

worksheet35
 
worksheet34
lec35
lec34-slides
WS35


WS34-solution

13

Mon

Apr 08

No class: Solar Eclipse









WedApr
12
10Lecture
36
35: Scan Pattern. Parallel Prefix Sum
worksheet36


worksheet35
lec36
lec35-slides
WS36

Homework 4 (CP 1)WS35-solution

FriApr
14
12Lecture
37
36: Parallel Prefix Sum applications
worksheet37


worksheet36
lec37
lec36-slides

WS36-solution
14MonApr
17
15Lecture
38
37: Overview of other models and frameworks
lec38



lec37-slides




WedApr
19
17Lecture
39
38: Course Review (Lectures 19-
38
34)
 
lec39

lec38-slides
Homework 4 (All)


FriApr
21
19Lecture
40
39: Course Review (Lectures 19-
38
34)
lec40



lec39-slides
Homework 5





Lab Schedule

Lab #

Date (2023)

Topic

Handouts

Examples

1

Jan

09

08

Infrastructure setup

lab0-handout

lab1-handout


-Jan
16
15No lab this week (MLK)

2Jan
23
22Functional Programminglab2-handout

3

Jan

30

29

Java Streams

Futures

lab3-handout

4Feb
06
05Data-Driven Tasks
Futures
lab4-handout
5

-

Feb

13

12

No lab this week

Data-Driven Tasks

lab5-handout



-Feb
20
19No lab this week (Midterm Exam)
6


5

Feb

27

26

Loop Parallelism 

lab5-handoutimage kernels
6Mar 04

Async / Finish

lab6-handout7Mar 06
Recursive Task Cutoff Strategy
lab7
lab6-handout
-Mar
13
11No lab this week (Spring Break)
8


7Mar
20
18Java Threads
lab8
lab7-handout
9

8Mar
27
25Concurrent Lists
lab9
lab8-handout
10

9Apr
03
01Actors
lab10
lab9-handout
11

-

Apr

10

08

No lab this week (Solar Eclipse)

Loop Parallelism

lab11-handout



-

Apr

17

15

No lab this week



Grading, Honor Code Policy, Processes and Procedures

...

Labs must be submitted by the following Wednesday Monday at 4:30pm3pm.  Labs must be checked off by a TA.

...