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COMP 322: Fundamentals of Parallel Programming (Spring

...

2024)

 


Instructors

Instructor:

Mackale Joyner, DH 2063

Zoran Budimlić, DH 3003

TAs:
Adrienne Li, Austin Hushower, Claire Xu, Diep Hoang, Hunena Badat, Maki Yu, Mantej Singh, Rose Zhang, Victor Song, Yidi Wang  
Haotian Dang, Andrew Ondara, Stefan Boskovic, Huzaifa Ali, Raahim Absar

Piazza site:

https://piazza.com/rice/spring2024

Admin Assistant:Annepha Hurlock, annepha@rice.edu , DH 3122, 713-348-5186 

 

Piazza site:

https://piazza.com/rice/spring2022

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

Cross-listing:

ELEC 323

Lecture location:

Herzstein

Amphitheater (online 1st 2 weeks)

Amp

Lecture times:

MWF 1:00pm - 1:50pm

Lab locations:

Keck 100 (online 1st 2 weeks

Mon (Brockman 101)

Tue (Herzstein Amp)

Lab times:

Mon  3:00pm - 3:50pm (

Austin

SB, HA,

Claire

AO)

Wed

Tue   4:00pm - 4:

30pm - 5:20pm (Hunena, Mantej, Yidi, Victor, Rose, Adrienne, Diep, Maki

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 (Concurrency)

...

Lecture Schedule

 

...



Week

Day

Date (

2022

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

10

08

Lecture 1: Introduction

 

 



worksheet1lec1-slides  

 

 



WS1-solution
  


Wed

Jan

12

10

Lecture 2:  Functional Programming

GList.java 


worksheet2lec02-slides

 

 



WS2-solution
  


FriJan
14worksheet3 
12Lecture 3: Higher order functions
  


worksheet3 lec3-slides 
 

 

 



WS3-solution
 

2

Mon

Jan

17

15

No class: MLK

         










Wed

Jan

19

17

Lecture 4: Lazy Computation

LazyList.java

Lazy.java

 



worksheet4lec4-slides
  

 



WS4-solution
 


Fri

Jan

21

19

Lecture 5: Java Streams

 

 


worksheet5lec5-slidesHomework 1
 

WS5-solution
 

3MonJan
24
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

26

24

Lecture 7: Futures

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

 

 



WS7-solution
  


Fri

Jan

28

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
31
29 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   
slides 

WS9-solution
  


Wed
Feb 02
Jan 31Lecture 10: Event-based programming model

 

   




worksheet10lec10-slides
 

Homework 1WS10-solution
  


FriFeb
04
02Lecture 11: GUI programming
as an example of event-based,
futures/callbacks in GUI programming
, Scheduling/executing computation graphs

Module 1: Section 1.4Topic 1.4 Lecture , Topic 1.4 Demonstrationworksheet11
  worksheet11
lec11-slidesHomework 2
Homework 1

WS11-solution
 

5

Mon

Feb

07

05

Lecture 12:
Scheduling/executing computation graphs
Abstract performance metrics, Parallel Speedup, Amdahl's Law Module 1: Section 1.
4
5Topic 1.
4
5 Lecture , Topic 1.
4
5 Demonstrationworksheet12lec12-slides
    

 



WS12-solution


Wed

Feb

09

07

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

worksheet13lec13-slides 
   

WS13-solution


Fri

Feb

11

09

No class: Spring Recess
 

        










6

Mon

Feb

14

12

Lecture 14:

Accumulation and reduction. Finish accumulators

Data Races, Functional & Structural Determinism

Module 1:
Section
Sections 2.5, 2.
3
6Topic 2.5 Lecture ,  Topic 2.5 Demonstration,  Topic 2.
3
6 Lecture,  Topic 2.
3

 

6 Demonstrationworksheet14lec14-slides
    


WS14-solution


Wed

Feb
16
14

Lecture 15:

Recursive Task Parallelism    

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



worksheet15lec15-slides

 

 

   



Homework 2WS15-solution
 


FriFeb
18Module 1: Section 1.1Topic 1.1 Lecture , Topic 1.1 Demonstration
16

Lecture 16:

 Lightweight task parallelism. Finish/async

Recursive Task Parallelism  



 
worksheet16 lec16-slidesHomework 3
Homework 2 

WS16-solution

7

Mon

Feb

21

19

Lecture 17: Midterm Review

 

  



lec17-slides
    

 






Wed

Feb

23

21

Lecture 18:

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

Midterm Review




lec18-slides
   lec18-slides     





Fri

Feb
25 
23 

Lecture 19:

Data Races, Functional & Structural DeterminismModule 1: Sections 2.5, 2.6

 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 Demonstrationworksheet19lec19-slides
   


WS19-solution

8

Mon

Feb
28
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 Demonstrationworksheet20
l ec20
lec20-slides
   
 
    


WS20-solution


Wed

Feb 28

 

Wed

Mar 02

Lecture 21:

N-Body problem, applications and implementations

Barrier Synchronization with Phasers

Module 1: Sections 3.4 Topic 3.4 Lecture, Topic 3.4 Demonstrationworksheet21    lec21-slides

WS21-solution
  worksheet21lec21-slides     


Fri

Mar

04

01

Lecture 22:

Fork/Join programming model. OS Threads. Scheduler Pattern

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

Homework 3

 


WS22-solution

9

Mon

Mar

07

04

Lecture 23:

 Locks, Atomic variables

Fuzzy Barriers with Phasers

Module
2
1:
7
Section 4.
3
1 Topic 4.1 Lecture, Topic 4.1 Demonstration
Topic 7.3 Lecture
worksheet23lec23-slides
 

 

  

Homework 3 (CP 1)

WS23-solution
 


Wed

Mar

09

06

Lecture 24:

Parallel Spanning Tree, other graph algorithms

Confinement & Monitor Pattern. Critical sections
Global lock

Module 2: Sections 5.1, 5.2Topic 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 08

 Lecture 25:  Atomic variables, Synchronized statementsModule 2: Sections 5.4, 7.2Topic 5.4 Lecture, Topic 5.4 Demonstration, Topic 7.2 Lecture worksheet25lec25-slides


WS25-solution

Mon

Mar 11
  worksheet24 lec24-slides 

 

  

 

Fri

Mar 11

 Lecture 25: Linearizability of Concurrent ObjectsModule 2: 7.4Topic 7.4 Lectureworksheet25lec25-slides 

 

   

Mon

Mar 14

No class: Spring Break

    


 
 

 

  







WedMar
16
13No class: Spring Break
    

 

   









Fri

Mar 15

 

Fri

Mar 18

No class: Spring Break

     

 

  








10

Mon

Mar

21

18

Lecture 26: Java Threads and Locks

- Soundness and progress guarantees

Module 2: Sections 7.
5
1, 7.3Topic 7.
5  
1 Lecture, Topic 7.3 Lectureworksheet26lec26-slides
    


WS26-solution


Wed

Mar

23

20

Lecture 27:

Dining Philosophers Problem

Read-Write Locks,  Soundness and progress guarantees

Module 2: Section 7.
6
3Topic 7.
4
3 Lecture, Topic 7.
6
5 Lectureworksheet27lec27-slides

 

   

 


Homework 3 (CP 2)WS27-solution


Fri

Mar

25

22

Lecture 28:

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

Dining Philosophers Problem


Topic 7.6 Lectureworksheet28lec28-slides




WS28-solution

11

Mon

Mar 25

Lecture 29:  Linearizability of Concurrent Objects

Module 2: Sections 7.
3, 7.5
4Topic 7.
3 Lecture, Topic 7.5 Lecture,
4 Lectureworksheet29lec29
worksheet28lec28
-slides
 



WS29-solution
 


Wed

 

  

Mar 27

Lecture 30:  Parallel Spanning Tree, other graph algorithms

 
worksheet30lec30-slides



WS30-solution


Fri

Mar 29

Lecture 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: Eureka-style Speculative Task Parallelism

 
worksheet34lec34-slides


WS34-solution

13

Mon

Apr 08

No class: Solar Eclipse









WedApr 10Lecture 35: Scan Pattern. Parallel Prefix Sum


worksheet35lec35-slides
Homework 4 (CP 1)WS35-solution

FriApr 12Lecture 36: Parallel Prefix Sum applications

worksheet36lec36-slides

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


lec37-slides




WedApr 17Lecture 38: Course Review (Lectures 19-34)
 
lec38-slides
Homework 4 (All)


FriApr 19Lecture 39: Course Review (Lectures 19-34)


lec39-slides

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

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 Demonstrationworksheet32lec32-slides

 

 

  

 

Wed

Apr 06

Lecture 33: Barrier Synchronization with phasers

Module 1: Section 3.4

Topic 3.4 Lecture ,   Topic 3.4 Demonstration

worksheet33lec33-slides

 

   

 

Fri

Apr 08

Lecture 34:  Stencil computation. Point-to-point Synchronization with Phasers

Module 1: Section 4.2, 4.3Topic 4.2 Lecture ,   Topic 4.2 Demonstration, Topic 4.3 Lecture,  Topic 4.3 Demonstrationworksheet34lec34-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, 6.4

Topic 6.3 Lecture ,   Topic 6.3 Demonstration ,   Topic 6.4 Lecture, Topic 6.4 Demonstration

worksheet36lec36-slides     FriApr 15Lecture 37: Eureka-style Speculative Task Parallelism  worksheet37lec37-slides    14MonApr 18Lecture 38: Overview of other models and frameworks   lec38-slides     WedApr 20Lecture 39: Course Review (Lectures 19-38)   lec39-slides     FriApr 22Lecture 40: Course Review (Lectures 19-38)   lec40-slides Homework 5  





Lab Schedule

Lab #

Date (

2022

2023)

Topic

Handouts

Examples

1

Jan

10

08

Infrastructure setup

lab0-handout

lab1-handout

 -Jan 17-


-Jan 15No lab this week (MLK)

2Jan 22Functional Programminglab2-handout
 

3

Jan

24

29

 

Futures

lab3-handout
 -Jan 31 lab4-handout 

-

Feb 07

4Feb 05Data-Driven Tasks
lab5
lab4-handout
 -

Feb 14

 

  

-

Feb

21

12

No lab this week



-Feb 19No lab this week (Midterm Exam)

5

Feb 26

Loop Parallelism 

lab5-handoutimage kernels
6Mar 04Recursive Task Cutoff Strategylab6-handout
-Mar 11

 

  -Feb 28   -Mar 07   

-

Mar 14 
No lab this week (Spring Break)
 


7
-Mar 21   -Mar 28   -

Apr 04

 

 
Mar 18Java Threadslab7-handout
8Mar 25Concurrent Listslab8-handout
9Apr 01Actorslab9-handout
 

-

Apr

11

08

No lab this week (Solar Eclipse)

 

  



-

Apr

18

 

  

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.

...