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COMP 322: Fundamentals of Parallel Programming (Spring

...

2023)

 

Instructor:

Mackale Joyner, DH 2063

TAs:Elian Ahmar, Timothy Goh, Kelly Park, Tucker Reinhardt, Mantej Singh, Minh Vu, Thanh Vu, Robert Walsh, Frederick Wang, Xincheng Wang, Yidi Wang  
Admin Assistant:Annepha Hurlock, annepha@rice.edu, DH 3122, 713-348-5186 

 

Piazza site:

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/spring2021spring2022/comp322 (Piazza is the preferred medium for all course communications)

Cross-listing:

ELEC 323

Lecture location:

Fully OnlineTBD

Lecture times:

MWF 1:30pm 00pm - 21:25pm50pm

Lab locations:

Fully OnlineTBD

Lab times:

Tu 1Mon  3:30pm 00pm - 23:25pm (TV, MS, TG, RW50pm ()

Th Tue 4:50pm 00pm - 54:45pm (XW, TR, KP, YW, FW, EA)

...

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.

...

The desired learning outcomes fall into three major areas (course modules):

1) Parallelism: functional programming, Java streams, creation and coordination of parallelism (async, finish), abstract performance metrics (work, critical paths), Amdahl's Law, weak vs. strong scaling, data races and determinism, data race avoidance (immutability, futures, accumulators, dataflow), deadlock avoidance, abstract vs. real performance (granularity, scalability), collective & point-to-point synchronization (phasers, barriers), parallel algorithms, systolic algorithms.

...

3) Locality & Distribution: memory hierarchies, locality, cache affinity, data movement, message-passing (MPI), communication overheads (bandwidth, latency), MapReduce, accelerators, GPGPUs, CUDA, OpenCL.

To achieve these learning outcomes, each class period will include time for both instructor lectures and in-class exercises based on assigned reading and videos.  The lab exercises will be used to help students gain hands-on programming experience with the concepts introduced in the lectures.

To ensure that students gain a strong knowledge of parallel programming foundations, the classes and homeworks homework will place equal emphasis on both theory and practice. The programming component of the course will mostly use the  Habanero-Java Library (HJ-lib)  pedagogic extension to the Java language developed in the  Habanero Extreme Scale Software Research project  at Rice University.  The course will also introduce you to real-world parallel programming models including Java Concurrency, MapReduce, MPI, OpenCL and CUDA. An important goal is that, at the end of COMP 322, you should feel comfortable programming in any parallel language for which you are familiar with the underlying sequential language (Java or C). Any parallel programming primitives that you encounter in the future should be easily recognizable based on the fundamentals studied in COMP 322.

...

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)

There

...

There are also a few optional textbooks that 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:

...

Finally, here are some additional resources that may be helpful for you:

Lecture Schedule

 

 

lec5lec8 22 11: Iteration Grouping (Chunking), Barrier Synchronization 3.3 Lecture , Topic 3.3 Demonstration, Topic 3.   3  26Mar 01 Data-Driven Tasks 45 45  Spring "Sprinkle" Day (no class) Mar 05 15:  Point-to-point Synchronization with Phasers42 42 43  Topic 4.3   lec18-slides lec20-slideslec22lec23 26Lecture 24: Java Threads, Java synchronized statement1 Lecture, Topic 7.2 Lecturelec24  31lec25-slides Apr 07 28 Apr 09 29:  Java Locks (exercise) lec31lec32 21 34: Task Affinity with Placeslec34 Quiz for Unit 8  23 35: Eureka-style Speculative Task Parallelism 26 36: Algorithms based on Parallel Prefix (Scan) operations

Week

Day

Date (20212022)

Lecture

Assigned Reading

Assigned Videos (see Canvas site for video links)

In-class Worksheets

Slides

Work Assigned

Work Due

 Worksheet Solutions 

1

Mon

Jan 2509

Lecture 1: Task Creation and Termination (Async, Finish)

Module 1: Section 1.1

Topic 1.1 Lecture, Topic 1.1 Demonstration Introduction

 

 

worksheet1lec1-slidesslides  

 

 

 
WS1-solution 

 

Wed

Jan 2711

Lecture 2:  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 Demonstrationworksheet2lec2-slides

Homework 1

 

 

Functional Programming

GList.java worksheet2lec02-slides

 

 

WS2-solution 
 FriJan 2913Lecture 3: Abstract Performance Metrics, Multiprocessor SchedulingModule 1: Section 1.4Topic 1.4 Lecture, Topic 1.4 Demonstrationworksheet3lec3-slidesHigher order functions  worksheet3 lec3-slides   

 

  WS3-solution 

2

Mon

Feb 01

Lecture 4: Parallel Speedup and Amdahl's Law

Module 1: Section 1.5Topic 1.5 Lecture, Topic 1.5 Demonstrationworksheet4lec4-slidesQuiz for Unit 1

Jan 16

No class: MLK

        

 

WedFeb

03Jan 18

Lecture 5: Future Tasks, Functional Parallelism ("Back to the Future")Module 1: Section 2.1Topic 2.1 Lecture, Topic 2.1 Demonstrationworksheet54: Lazy Computation

LazyList.java

Lazy.java

 worksheet4lec4-slides   WS4-solution 

 

FriFeb

05Jan 20

 

Lecture 65:   Finish Accumulators

Module 1: Section 2.3Topic 2.3 Lecture, Topic 2.3 Demonstrationworksheet6lec6-slides Quiz for Unit 1

Java Streams

  worksheet5lec5-slidesHomework 1 WS5-solution 
3MonFeb 08Jan 23

Lecture 76: Map Reduce with Java Streams

Module 1: Section 2.4Topic 2.4 Lecture, Topic 2.4 Demonstration  worksheet7worksheet6lec7lec6-slides

 

  WS6-solution 

 

WedFeb

10Jan 25

Lecture 8: Data Races, Functional & Structural Determinism7: Futures

Module 1: Section 2.5, 2.61Topic 2.5 1 Lecture , Topic 2.5 Demonstration, Topic 2.6 Lecture, Topic 2.6 Demonstration   worksheet81 Demonstrationworksheet7lec7-slides

Homework 2 

Homework 1  WS7-solution 

 

FriFeb

12Jan 27

 

Lecture 9: Java’s Fork/Join Library

 Topic 2.7 Lecture, Topic 2.7 Demonstration, Topic 2.8 Lecture, Topic 2.8 Demonstrationworksheet9lec9-slidesQuiz for Unit 2 

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

 

Feb 15No class (storm weather)       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 17Spring "Sprinkle" Day (no class)01Lecture 10: Event-based programming model

 

   worksheet10lec10-slides   Homework 1WS10-solution 
 FriFeb 1903Lecture 10: Loop-Level Parallelism, Parallel Matrix MultiplicationModule 1: Sections 3.1, 3.2Topic 3.1 Lecture , Topic 3.1 Demonstration ,  Topic 3.2 Lecture,  Topic 3.2 Demonstrationworksheet10lec10-slides   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: Sections 3.3, 3Section 1.4Topic 1.4 Lecture , Topic 1.4 Demonstrationworksheet11worksheet12lec11lec12-slides Quiz for Unit 2 WS12-solution 

 

Wed

Feb 2408

Lecture 12:  Parallelism in Java Streams, Parallel Prefix Sums 13: Parallel Speedup, Critical Path, Amdahl's Law

Module 1: Section 31.75

Topic

Topic 3.7 Java Streams

1.5 Lecture , Topic

3

1.

7 Java Streams

5 Demonstration

worksheet12worksheet13lec12lec13-slides   WS13-solution 

 

Fri

Feb

10

Lecture 13: Iterative Averaging Revisited, SPMD pattern

Module 1: Sections 3.5, 3.6Topic 3.5 Lecture , Topic 3.5 Demonstration , Topic 3.6 Lecture,   Topic 3.6 Demonstrationworksheet13lec13-slides

Homework 3 (includes one intermediate checkpoint)

Quiz for Unit 3

Homework 2No class: Spring Recess

 

        
6

Mon

Feb 13

Lecture 14:

Accumulation and reduction. Finish accumulators

Module 1: Sections 4Section 2.53Topic 2.3 Lecture   Topic 2.3 Demonstrationworksheet14lec14-slides  WS14-solution 

 

Wed

Mar 03Feb 15

Lecture 15: Recursive Task Parallelism  

  worksheet15 lec15-slides

 

 

 WS15-solution 
 FriFeb 17

Lecture

16: Data Races, Functional & Structural Determinism

Module 1: Section 4Sections 2.5, 2, 4.36Topic 2.5 Lecture ,  Topic 2.5 Demonstration,  Topic 2.6 Lecture,  Topic 2.6 Demonstrationworksheet15worksheet16 lec15lec16-slidesHomework 3 Homework 2WS16-solution 

7

MonMar

08Feb 20

Lecture 16: Pipeline Parallelism, Signal Statement, Fuzzy Barriers

Module 1: Sections 4.4, 4.1Topic 4.4 Lecture ,   Topic 4.4 Demonstration, Topic 4.1 Lecture,  Topic 4.1 Demonstrationworksheet16lec16-slidesQuiz for Unit 4Quiz for Unit 3

17: Midterm Review

   lec17-slides    

 

WedMar

10Feb 22

Lecture 17: Midterm Review18: Limitations of Functional parallelism.
Abstract vs. real performance. Cutoff Strategy

   worksheet18lec17lec18-slides   WS18-solution 

 

FriMar 12

Feb 24 

Lecture 18: Abstract vs. Real Performance

  worksheet18

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

MonMar 15

Feb 27

Lecture 1920: Critical Sections, Isolated construct (start of Module 2) 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 Demonstrationworksheet19worksheet20lec19lec20-slides         WS20-solution 

 

Wed

Mar 1701

Lecture 20: Parallel Spanning Tree algorithm, 21:  Atomic variables, Synchronized statements

Module 2: Sections

5.3,

5.4,

5

7.

5

2

Topic 5.3 Demonstration, Topic 5.4 Lecture, Topic 5.4 Demonstration, Topic 57.5 Lecture, Topic 5.5 Demonstrationworksheet202 Lectureworksheet21lec21-slides  

Homework 3, Checkpoint-1

 WS21-solution 

 

Fri

Mar 1903

 

Lecture 21: Actors

Module 2: 6.1, 6.2

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

worksheet21 lec21-slides  

 

22: Parallel Spanning Tree, other graph algorithms 

  worksheet22lec22-slidesHomework 4

Homework 3

WS22-solution 

9

Mon

Mar 2206

Lecture 22: Actors (contd)23: Java Threads and Locks

Module 2: 6Sections 7.31, 6.4, 6.57.3

Topic

6

7.

3

1 Lecture, Topic

6.3 Demonstration, Topic 6.4 Lecture , Topic 6.4 Demonstration,   Topic 6.5 Lecture, Topic 6.5 Demonstration
worksheet22

7.3 Lecture

worksheet23 lec23-slides  

Quiz for Unit 4

 

 

WS23-solution 

 

Wed

Mar 2408

Lecture 23: Actors (contd)24: Java Locks - Soundness and progress guarantees  

Module 2: 67.65Topic 67.6 Lecture, Topic 6.6 Demonstration 5 Lecture worksheet24 lec24-slidesQuiz for Unit 5 

 

 
WS24-solution 

 

Fri

Mar

10

 Lecture 25: Dining Philosophers Problem  Module 2: 7.1, 7.26Topic 7. 6 Lectureworksheet25lec25-slides 

 

WS25-solution 
 10

Mon

Mar 2913Spring "Sprinkle" Day (no class)

No class: Spring Break

     

 

  
 WedMar 15

Lecture 25: Java Threads, Java synchronized statement (contd), wait/notify

Module 2: 7.1, 7.2Topic 7.1 Lecture, Topic 7.2 Lecture No class: Spring Break    

 

   

 

Fri

Apr 02

Lecture 26: Java Threads (exercise)Mar 17

No class: Spring Break

   lec26-handout   Homework 3 (all)

 

  

1110

MonApr 05

Mar 20

 

Lecture 27: Java Locks

Module 2: 7.3Topic 7.3 Lecture  lec27-slides

Quiz for Unit 6

Quiz for Unit 5

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 Lecture worksheet27lec28lec27-slides Homework 4 (includes one intermediate checkpoint)

 

 WS27-solution 

 

Fri

Mar 24

Lecture

   lec29-handout  

 

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 1203

Lecture 30: Safety and Liveness Properties, Java Synchronizers, Dining Philosophers ProblemModule 2: 7.5, 7.6Topic 7.5 Lecture, Topic 7.6 Lecture lec30-slides

Quiz for Unit 7

Quiz for Unit 6

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

 

 

WS32-solution 

 

Wed

Apr 1405

Lecture 31: Message Passing Interface (MPI), (start of Module 3)

 Topic 8.1 Lecture, Topic 8.2 Lecture, Topic 8.3 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 1607

Lecture 32: Message Passing Interface (MPI, contd)

 Topic 8.4 Lecture  

34: Fuzzy Barriers with Phasers

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

 

 
WS34-solution 

13

Mon

Apr 1910

Lecture 33: Message Passing Interface (MPI, contd) Topic 8.5 Lecture, Topic 8 Demonstration Video lec33-slides

 

Homework 4 Checkpoint-1

 35: Eureka-style Speculative Task Parallelism 

 

worksheet35lec35-slides

 

 

WS35-solution 
 WedApr 12Lecture 36: Scan Pattern. Parallel Prefix Sum 

 

 
worksheet36lec36-slides Quiz for Unit 7 WS36-solution 
 FriApr 14Lecture 37: Parallel Prefix Sum applications   worksheet37lec35lec37-slides    
14MonApr 17Lecture 38: Overview of other models and frameworks   lec36lec38-slides    
 WedApr 2819Lecture 3739: Course Review (Lectures 19-3438)   lec37lec39-slides Homework 4 (all)   
 FriApr 30TBD21Lecture 40: Course Review (Lectures 19-38)    lec40-slides Quiz for Unit 8Homework 5  

Lab Schedule

0  SetupFutureshandout
Mar 02DDFs-handout - ---Apache Spark   Java's ForkJoin Framework

Lab #

Date (20212023)

Topic

Handouts

Examples

1

Jan 09

Infrastructure

setup

lab0-handout

 

1

Jan 26

Async-Finish Parallel Programming with abstract metrics

lab1-handout

 
-Feb 02Jan 16No lab this week (MLK)  
2

Feb 09

Jan 23Functional Programminglab2- -Feb 16No lab this week (classes cancelled)handout  

3

Feb 23

Cutoff Strategy and Real World Performance

Jan 30

Java Streams

lab3-handout
 
4Feb 06Futureslab4-handout 

5

Feb 13

Data-Driven Tasks

lab5-handout 
-Mar 09Feb 20No lab this week (Midterm exam)  
6Mar 16No lab this week (Spring "Sprinkle" Day)

Feb 27

Async / Finish

lab6-handout 
57Mar 23Loop-level Parallelismlab5-handoutlab5-intro

-

 

Isolated Statement and Atomic Variables

 06Recursive Task Cutoff Strategylab7-handout 
- ActorsMar 13No lab this week (Spring Break)  
8 Mar 20Java Threads, Java Locks  lab8-handout 

Message Passing Interface (MPI)

  
9Mar 27Concurrent Listslab9-handout 
10Apr 03Actorslab10-handout 

Eureka-style Speculative Task Parallelism

11

Apr 10

Loop Parallelism

lab11-handout 

-

 

Apr 17

No lab this week

  

Grading, Honor Code Policy, Processes and Procedures

...

Labs must be submitted by the following Monday Wednesday at 114:59pm30pm.  Labs must be checked off by a TA.

Worksheets should be completed by the deadline listed in Canvas before the start of the following class (for full credit) so that solutions to the worksheets can be discussed in the next class.

...