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COMP 322: Fundamentals of Parallel Programming (Spring 2023)


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

Piazza site:

https://piazza.com/rice/spring2023/comp322 (Piazza is the preferred medium for all course communications)

Cross-listing:

ELEC 323

Lecture location:

TBD

Lecture times:

MWF 1:00pm - 1:50pm

Lab locations:

TBD

Lab times:

Mon  3:00pm - 3:50pm ()

Tue 4:00pm - 4:50pm ()

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.

...

Lecture Schedule



Week

Day

Date (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 09

Lecture 1: Introduction



worksheet1lec1-slides  



WS1-solution


Wed

Jan 11

Lecture 2:  Functional Programming

GList.java
worksheet2lec02-slides



WS2-solution

FriJan 13Lecture 3: Higher order functions

worksheet3 lec3-slides   



WS3-solution

2

Mon

Jan 16

No class: MLK










Wed

Jan 18

Lecture 4: Lazy Computation

LazyList.java

Lazy.java


worksheet4lec4-slides

WS4-solution


Fri

Jan 20

Lecture 5: Java Streams



worksheet5lec5-slidesHomework 1
WS5-solution
3MonJan 23

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

Lecture 7: Futures

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



WS7-solution


Fri

Jan 27

Lecture 8:  Computation Graphs, Ideal Parallelism

Module 1: Sections 1.2, 1.3Topic 1.2 Lecture, Topic 1.2 Demonstration, Topic 1.3 Lecture, Topic 1.3 Demonstrationworksheet8lec8-slides

WS8-solution

4

Mon


Jan 30 Lecture 9: Async, Finish, Data-Driven Tasks 

Module 1: Section 1.1, 4.5


Topic 1.1 Lecture, Topic 1.1 Demonstration, Topic 4.5 Lecture, Topic 4.5 Demonstration

worksheet9

lec9-slides 

WS9-solution

WedFeb 01Lecture 10: Event-based programming model




worksheet10lec10-slides
Homework 1WS10-solution

FriFeb 03Lecture 11: GUI programming as an example of event-based,
futures/callbacks in GUI programming


worksheet11lec11-slidesHomework 2
WS11-solution
5

Mon

Feb 06

Lecture 12: Scheduling/executing computation graphs
Abstract performance metrics
Module 1: Section 1.4Topic 1.4 Lecture , Topic 1.4 Demonstrationworksheet12lec12-slides

WS12-solution


Wed

Feb 08

Lecture 13: Parallel Speedup, Critical Path, Amdahl's Law

Module 1: Section 1.5

Topic 1.5 Lecture , Topic 1.5 Demonstration

worksheet13lec13-slides 
WS13-solution


Fri

Feb 10

No class: Spring Recess










6

Mon

Feb 13

Lecture 14: Accumulation and reduction. Finish accumulators

Module 1: Section 2.3Topic 2.3 Lecture   Topic 2.3 Demonstrationworksheet14lec14-slides

WS14-solution


Wed

Feb 15

Lecture 15: Recursive Task Parallelism  



worksheet15lec15-slides




WS15-solution

FriFeb 17

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 20

Lecture 17: Midterm Review




lec17-slides




Wed

Feb 22

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



worksheet18lec18-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, worksheet19lec19-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 01

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 03

Lecture 22: Parallel Spanning Tree, other graph algorithms 


 worksheet22lec22-slidesHomework 4

Homework 3

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: 7.5Topic 7.5 Lecture worksheet24 lec24-slides


WS24-solution


Fri

Mar 10

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


WS25-solution

Mon

Mar 13

No class: Spring Break

 







WedMar 15No class: Spring Break








Fri

Mar 17

No class: Spring Break









10

Mon

Mar 20

Lecture 26: N-Body problem, applications and implementations 



worksheet26lec26-slides

WS26-solution


Wed

Mar 22

Lecture 27: Read-Write Locks, Linearizability of Concurrent Objects

Module 2: 7.3, 7.4Topic 7.3 Lecture, Topic 7.4 Lectureworksheet27lec27-slides



WS27-solution


Fri

Mar 24

Lecture 28: Message-Passing programming model with Actors

Module 2: 6.1, 6.2Topic 6.1 Lecture, Topic 6.1 Demonstration,   Topic 6.2 Lecture, Topic 6.2 Demonstration worksheet28lec28-slides




WS28-solution

11

Mon

Mar 27

Lecture 29: 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 Demonstrationworksheet29lec29-slides



WS29-solution


Wed

Mar 29

Lecture 30: Task Affinity and locality. Memory hierarchy 



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

Apr 03

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



WS32-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-slides



WS33-solution


Fri

Apr 07

Lecture 34: Fuzzy Barriers with Phasers

Module 1: Section 4.1Topic 4.1 Lecture, Topic 4.1 Demonstrationworksheet34lec34-slides


WS34-solution

13

Mon

Apr 10

Lecture 35: Eureka-style Speculative Task Parallelism


worksheet35lec35-slides



WS35-solution

WedApr 12Lecture 36: Scan Pattern. Parallel Prefix Sum


worksheet36lec36-slides

WS36-solution

FriApr 14Lecture 37: Parallel Prefix Sum applications

worksheet37lec37-slides



14MonApr 17Lecture 38: Overview of other models and frameworks


lec38-slides




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


lec39-slides




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


lec40-slides
Homework 5

Lab Schedule

Lab #

Date (2023)

Topic

Handouts

Examples

1

Jan 09

Infrastructure setup

lab0-handout

lab1-handout


-Jan 16No lab this week (MLK)

2Jan 23Functional Programminglab2-handout

3

Jan 30

Java Streams

lab3-handout

4Feb 06Futureslab4-handout

5

Feb 13

Data-Driven Tasks

lab5-handout
-Feb 20No lab this week (Midterm)

6

Feb 27

Async / Finish

lab6-handout
7Mar 06Recursive Task Cutoff Strategylab7-handout
-Mar 13No lab this week (Spring Break)

8Mar 20Java Threadslab8-handout
9Mar 27Concurrent Listslab9-handout
10Apr 03Actorslab10-handout
11

Apr 10

Loop Parallelism

lab11-handout

-

Apr 17

No lab this week



Grading, Honor Code Policy, Processes and Procedures

...