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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 ZhangHaotian Dang, Andrew Ondara, Stefan Boskovic, Huzaifa Ali, Raahim Absar

Piazza site:

https://piazza.com/rice/spring2023spring2024/comp322 (Piazza is the preferred medium for all course communications)

Cross-listing:

ELEC 323

Lecture location:

Herzstein AmphitheaterAmp

Lecture times:

MWF 1:00pm - 1:50pm

Lab locations:

Mon (Herzstein AmpBrockman 101)

, Tue (Keck 100Herzstein Amp)

Lab times:

Mon  3:00pm - 3:50pm (RaiyanSB, Oscar, Mohamed, Ryan, Michelle, Taha)Tue 4HA, AO)

Tue   4:00pm - 4:50pm 50pm  (Tina, Delaney, Chase, Hung, Jerry, Kailin, JasmineRA, 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.

...

Lecture Schedule



13 20 23Feb 01 03 06 13 174 worksheet20     4.2, 4.3 Section 4.1, 5.6lec25 13 15 Sections 7.1, 24 Java Locks - Soundness and progress guaranteesModule 2: Section 7.55 6.3, 6 73 7412worksheet35lec35 12 36worksheet36lec36WS36 14 37worksheet37lec37 17 38lec38 19 3938lec39 21 4038lec40

Week

Day

Date (20232024)

Lecture

Assigned Reading

Assigned Videos (see Canvas site for video links)

In-class Worksheets

Slides

Work Assigned

Work Due

Worksheet Solutions

1

Mon

Jan 0908

Lecture 1: Introduction



worksheet1lec1-slides  



WS1-solution


Wed

Jan 1110

Lecture 2:  Functional Programming



worksheet2lec02-slides



WS2-solution

FriJan 12Lecture 3: Higher order functions

worksheet3 lec3-slides   



WS3-solution

2

Mon

Jan 1615

No class: MLK










Wed

Jan 1817

Lecture 4: Lazy Computation



worksheet4lec4-slides

WS4-solution


Fri

Jan

19

Lecture 5: Java Streams



worksheet5lec5-slidesHomework 1
WS5-solution
3MonJan 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 2524

Lecture 7: Futures

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



WS7-solution


Fri

Jan 2726

Lecture 8:  Async, Finish, Computation Graphs

Module 1: Sections 1.1, 1.2Topic 1.1 Lecture, Topic 1.1 Demonstration, Topic 1.2 Lecture, Topic 1.2 Demonstrationworksheet8lec8-slides

WS8-solution

4

Mon


Jan 3029 Lecture 9: Ideal Parallelism, Data-Driven Tasks 

Module 1: Section 1.3, 4.5


Topic 1.3 Lecture, Topic 1.3 Demonstration, Topic 4.5 Lecture, Topic 4.5 Demonstration

worksheet9

lec9-slides 

WS9-solution

WedJan 31Lecture 10: Event-based programming model




worksheet10lec10-slides
Homework 1WS10-solution

FriFeb 02Lecture 11: GUI programming, Scheduling/executing computation graphs

Module 1: Section 1.4Topic 1.4 Lecture , Topic 1.4 Demonstrationworksheet11lec11-slidesHomework 2
WS11-solution
5

Mon

Feb

05

Lecture 12: Abstract performance metrics, Parallel Speedup, Amdahl's Law Module 1: Section 1.5Topic 1.5 Lecture , Topic 1.5 Demonstrationworksheet12lec12-slides

WS12-solution


Wed

Feb 0807

Lecture 13: Accumulation and reduction. Finish accumulators

Module 1: Section 2.3

Topic 2.3 Lecture   Topic 2.3 Demonstration

worksheet13lec13-slides 
WS13-solution


Fri

Feb 1009

No class: Spring Recess










6

Mon

Feb

12

Lecture 14: 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 Demonstrationworksheet14lec14-slides

WS14-solution


Wed

Feb 1514

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



worksheet15lec15-slides



Homework 2WS15-solution

FriFeb 16

Lecture 16: Recursive Task Parallelism  



worksheet16 lec16-slidesHomework 3
WS16-solution

7

Mon

Feb 2019

Lecture 17: Midterm Review




lec17-slides




Wed

Feb 2221

Lecture 18: Midterm Review




lec18-slides




Fri

Feb 24 23 

Lecture 19: Data-Parallel Programming model. Loop-Level Parallelism, Loop Chunking

Module 1: Sections 3.1, 3.2, 3.3

 Fork/Join programming model. OS Threads. Scheduler Pattern


Topic 2.7 Lecture, Topic 2.7 Demonstration, Topic 2.8 Lecture, Topic 2.8 Topic 3.1 Lecture, Topic 3.1 Demonstration , Topic 3.2 Lecture,  Topic 3.2 Demonstration, Topic 3.3 Lecture,  Topic 3.3 Demonstrationworksheet19lec19-slides

WS19-solution

8

Mon

Feb 2726 

Lecture 20: Barrier Synchronization with PhasersData-Parallel Programming model. Loop-Level Parallelism, Loop Chunking

Module 1: Sections 3.1, 3.2, 3.3Topic 3.4 1 Lecture, Topic 3.4 Demonstration1 Demonstration , Topic 3.2 Lecture,  Topic 3.2 Demonstration, Topic 3.3 Lecture,  Topic 3.3 Demonstrationworksheet20lec20-slides  

WS20-solution


WedMar 01

Feb 28

Lecture 21: Stencil computation. Point-to-point Barrier Synchronization with Phasers

Module 1: Sections 3.4 Topic 3.4 .2 Lecture, Topic 3.4 .2 Demonstration, Topic 4.3 Lecture, Topic 4.3 Demonstrationworksheet21Demonstrationworksheet21    lec21-slides

WS21-solution


Fri

Mar 0301

Lecture 22:Fuzzy Barriers 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  Topic 4.1 Lecture, Topic 4.1 3 Demonstrationworksheet22lec22-slides

WS22-solution

9

Mon

Mar 0604

Lecture 23:  Fork/Join programming model. OS Threads. Scheduler PatternTopic 2.7 Fuzzy Barriers with Phasers

Module 1: Section 4.1 Topic 4.1 Lecture, Topic 24.7 Demonstration, Topic 2.8 Lecture, Topic 2.8 Demonstration1 Demonstrationworksheet23lec23-slides

Homework 3 (CP 1)

WS23-solution


Wed

Mar 0806

Lecture 24: 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 1008

 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

No class: Spring Break


 






WedMar 13No class: Spring Break








Fri

Mar 1715

No class: Spring Break









10

Mon

Mar 2018

Lecture 26: Parallel Spanning Tree, other graph algorithms Java Threads and Locks

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

WS26-solution


Wed

Mar 2220

Lecture 27: Java Threads and LocksRead-Write Locks,  Soundness and progress guarantees

Module 2: Section 7.3Topic 7.1 3 Lecture, Topic 7.3 5 Lectureworksheet27lec27-slides


Homework 3 (CP 2)WS27-solution


Fri

Mar

22

Lecture 28:

Dining Philosophers Problem


Topic 7.6 Lectureworksheet28lec28-slides




WS28-solution

11

Mon

Mar 2725

Lecture 29: Active Object Pattern. Combining Actors with task parallelism   Linearizability of Concurrent Objects

Module 2: Sections 7.4Topic 6.3 Lecture, Topic 6.3 Demonstration,   Topic 67.4 Lecture, Topic 6.4 Demonstrationworksheet29lec29-slides



WS29-solution


Wed

Mar 2927

Lecture 30: Task Affinity and locality. Memory hierarchy Parallel Spanning Tree, other graph algorithms

 
worksheet30lec30-slidesHomework 3 (All)



WS30-solution


Fri

Mar 3129

Lecture 31: Read-Write Locks, Linearizability of Concurrent Objects Message-Passing programming model with Actors

Module 2: Sections 6.1, 6.2Topic 76.3 1 Lecture, Topic 7.4 Lecture6.1 Demonstration,   Topic 6.2 Lecture, Topic 6.2 Demonstrationworksheet31lec31-slidesHomework 4


WS31-solution

12

Mon

Apr 0301

Lecture 32: Message-Passing programming model with Actors Active Object Pattern. Combining Actors with task parallelismModule 2: Sections 6.3, 6.4Topic 6.1 3 Lecture, Topic 6.1 3 Demonstration,   Topic 6.2 4 Lecture, Topic 6.2 4 Demonstrationworksheet32lec32-slides

Homework 4

Homework 3 (All)

WS32-solution


Wed

Apr 0503

Lecture 33:  Dining Philosophers Problem

Module 2: Section 7.6

Topic 7.6 Lecture

worksheet33lec33-slidesWS33-solution

Task Affinity and locality. Memory hierarchy



worksheet33lec33-slides



WS33-solution


Fri

Apr 05

Lecture 34

Fri

Apr 07

Lecture 34: N-Body problem, applications and implementations 

worksheet34lec34-slidesWS34-solution

13

Mon

Apr 10

Lecture 35

: Eureka-style Speculative Task Parallelism

 
worksheet34lec34-slides


WS35WS34-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




Lab Schedule

Lab #

Date (2023)

Topic

Handouts

Examples

1

Jan 0908

Infrastructure setup

lab0-handout

lab1-handout


-Jan 1615No lab this week (MLK)

2Jan 2322Functional Programminglab2-handout

3

Jan 3029

Futures

lab3-handout

4Feb 0605Data-Driven Taskslab4-handout

5-

Feb 13

Async / Finish

lab5-handout

12

No lab this week



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

65

Feb 2726

Loop Parallelism 

lab6lab5-handoutimage kernels
76Mar 0604Recursive Task Cutoff Strategylab7lab6-handout
-Mar 1311No lab this week (Spring Break)

-7Mar 2018Java Threadslab7-handoutNo lab this week
8Mar 2725Java ThreadsConcurrent Listslab8-handout
9Apr 0301Concurrent ListsActorslab9-handout
10-

Apr 10

Actors

08

No lab this week (Solar Eclipse)

lab10-handout



-

Apr 1715

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.

...