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COMP 322: Fundamentals of Parallel Programming (Spring

...

2018)

 

Instructor:

Prof. Vivek SarkarMackale Joyner, DH 31312071

Head TA:Max GrossmanAbbey Baker

Co-Instructor:

Dr. Mackale JoynerZoran Budimlić, DH 3081

Graduate TAs:

Jonathan Sharman, Ryan Spring, Bing Xue, Lechen YuSrdan Milakovic

Admin Assistant:Annepha Hurlock, annepha@rice.edu, DH 30803122, 713-348-5186Undergraduate TAs:Marc Canby, Anna Chi, Peter Elmers, Joseph Hungate, Cary Jiang, Gloria Kim, Kevin Mullin, Victoria Nazari, Ashok Sankaran, Sujay Tadwalkar, Anant Tibrewal, Eugene Wang, Yufeng Zhou

Austin Bae, Avery Whitaker, Aydin Zanager, Eduard Danalache, Frank Chen, Hamza Nauman, Harrison Brown, Jahid Adam, Jeemin Sim, Kitty Cai, Madison Lewis, Ryan Han, Teju Manchenella, Victor Gonzalez, Victoria Nazari

Piazza site:

https://piazza.com/class/ixdqx0x3bjl6enj3w0pi8pl9s8s (Piazza is the preferred medium for all course communications, but you can also send email to comp322-staff at rice dot edu if needed)

Cross-listing:

ELEC 323

Lecture location:

Herzstein Sewall Hall 210301

Lecture times:

MWF 1:00pm - 1:50pm

Lab locations:

DH 1064, DH 1070Sewall Hall 301

Lab times:

WednesdayThursday, 07 4:00pm - 084:30pm50pm

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.

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Lecture Schedule

 

Homework 4 (includes one intermediate checkpoint) 

 Fri 20

Week

Day

Date (20172018)

Lecture

Assigned Reading

Assigned Videos (see Canvas site for video links)

In-class Worksheets

Slides

Work Assigned

Work Due

1

Mon

Jan 0908

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

Module 1: Section 1.1

Topic 1.1 Lecture, Topic 1.1 Demonstration

worksheet1lec1-slides

 

 

 

Wed

Jan 1110

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

 

 FriJan 1312Lecture 3: Abstract Performance Metrics, Multiprocessor SchedulingModule 1: Section 1.4Topic 1.4 Lecture, Topic 1.4 Demonstrationworksheet3lec3-slides

 

 

2

Mon

Jan 1615

No lecture, School Holiday (Martin Luther King, Jr. Day)

      

 

Wed

Jan 1817

No lecture, Rice closed due to weather

    

Quiz for Unit 1

 

 

Fri

Jan 19

Lecture 4:    Parallel Speedup and Amdahl's Law

Module 1: Section 1.5Topic 1.5 LectureLecture, Topic 1.5 Demonstrationworksheet4lec4-slides  

3

Mon

Jan

22

Lecture 5: Future Tasks, Functional Parallelism ("Back to the Future")

Module 1: Section 2.1Topic 2.1 Lecture, Topic 2.1 Demonstrationworksheet5lec5-slides  

3

Mon

Jan 23

Lecture 6: Memoization

Module 1: Section 2.2
Topic 2.2 Lecture, Topic 2.2 Demonstrationworksheet6lec6-slides   WedJan 2524

Lecture 7: Finish Accumulators

Module 1: Section 2.3Topic 2.3 Lecture, Topic 2.3 Demonstration  worksheet7lec7-slides

Homework 2

Homework 1

 

Fri

Jan 2726

Lecture 8: Memoization, Map Reduce

Module 1: Section 2.2 & 2.4Topic 2.2 Lecture, Topic 2.2 Demonstration, Topic 2.4 Lecture, Topic 2.4 Demonstrationworksheet8lec8-slides

 

Quiz for Unit 1

4

Mon

Jan 3029

Lecture 9: 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   worksheet9lec9-slides  

 

WedFeb

01Jan 31

Lecture 10: Java’s Fork/Join LibraryModule 1: Sections 2.7, 2.8Topic 2.7 Lecture, Topic 2.8 Lecture,worksheet10lec10-slides Quiz for Unit 2 

 

Fri

Feb 0302

Lecture 11: Loop-Level Parallelism, Parallel Matrix Multiplication, Iteration Grouping (Chunking)

Module 1: Sections 3.1, 3.2, 3.3

Topic 3.1 Lecture , Topic 3.1 Demonstration , Topic 3.2 Lecture, Topic 3.2 Demonstration, Topic 3.3 Lecture , Topic 3.3 Demonstration

worksheet11lec11-slides  

5

Mon

Feb 0605

Lecture 12:  Barrier Synchronization

Module 1: Section 3.4Topic 3.4 Lecture , Topic 3.4 Demonstrationworksheet12lec12-slides  
 

Wed

Feb 0807

Lecture 13: Parallelism in Java Streams, Parallel Prefix Sums

    Topic 3.7 Java Streams, Topic 3.7 Java Streams Demonstrationworksheet13lec13-slides

  Homework 3 (includes two 2 intermediate checkpoints)  

Homework 2

-

Fri

Feb 1009

Spring Recess

     Quiz for Unit 2 

6

Mon

Feb 1312

Lecture 14: 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 Demonstration  worksheet14 lec14-slides  Quiz for Unit 3Quiz for Unit 2

 

Wed

Feb 1514

Lecture 15:  Data-Driven Tasks, Point-to-Point Synchronization with Phasers

Module 1: Sections 4.5, 4.2, 4.3Topic 4.5 Lecture   Topic 4.5 Demonstration, Topic 4.2 Lecture ,   Topic 4.2 Demonstration, Topic 4.3 Lecture,  Topic 4.3 Demonstrationworksheet15lec15-slides  

 

Fri

Feb 1716

Lecture 16: Point-to-point Synchronization with Phasers Review

Module 1: Sections 4.2Topic 4.2 Lecture ,   Topic 4.2 Demonstrationworksheet16lec16-slides Quiz for Unit 3

7

Mon

Feb 2019

Lecture 17: Midterm Summary

   lec17-slides  

 

Wed

Feb 2221

Midterm Review (interactive Q&A)

    Exam 1 held during lab time (7:00pm - 10:00pm), scope of exam limited to lectures 1-16   

 

Fri

Feb 2423

Lecture 18: Abstract vs. Real Performance

  worksheet18 lec18lec18-slides  Homework 3, Checkpoint-1

8

Mon

Feb 2726

Lecture 19: 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 Demonstration,worksheet19lec19-slides Quiz for Unit 4

 

 

WedMar

01Feb 28

Lecture 20: Critical sections, Isolated construct, Parallel Spanning Tree algorithm, Atomic variables (start of Module 2)

Module 2: Sections 5.1, 5.2, 5.3, 5.4, 5.6

Topic 5.1 Lecture, Topic 5.1 Demonstration, Topic 5.2 Lecture, Topic 5.2 Demonstration, Topic 5.3 Lecture, Topic 5.3 Demonstration, Topic 5.4 Lecture, Topic 5.4 Demonstration, Topic 5.6 Lecture, Topic 5.6 Demonstration

worksheet20lec20-slides 

 

 

Fri

Mar 0302

Lecture 21:  Read-Write Isolation, Review of Phasers

Module 2: Section 5.5Topic 5.5 Lecture, Topic 5.5 Demonstrationworksheet21 lec21-slides Quiz for Unit 5

Quiz for Unit 4

9

Mon

Mar 0605

Lecture 22: Actors

Module 2: 6.1, 6.2Topic 6.1 Lecture ,   Topic 6.1 Demonstration ,   Topic 6.2 Lecture, Topic 6.2 Demonstrationworksheet22 lec22-slides

 

 

 

 

Wed

Mar 0807

Lecture 23:  Actors (contd)

Module 2: 6.3, 6.4, 6.5, 6.6Topic 6.3 Lecture, Topic 6.3 Demonstration, Topic 6.4 Lecture , Topic 6.4 Demonstration,   Topic 6.5 Lecture, Topic 6.5 Demonstration, Topic 6.6 Lecture, Topic 6.6 Demonstrationworksheet23 lec23-slides

 Quiz for Unit 6

Homework 3, Checkpoint-2

 

Fri

Mar 1009

Lecture 24: Java Threads, Java synchronized statement

Module 2: 7.1, 7.2Topic 7.1 Lecture, Topic 7.2 Lectureworksheet24lec24-slides  Quiz for Unit 5
-

M-F

Mar 13 12 - Mar 1716

Spring Break

      

10

Mon

Mar 2019

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

Module 2: 7.2Topic 7.2 Lectureworksheet25 lec25-slides 

 

 

 

Wed

Mar 2221

Lecture 26: Java Locks, Linearizability of Concurrent Objects

Module 2: 7.3, 7.4Topic 7.3 Lecture, Topic 7.4 Lectureworksheet26 lec26-slides

 

Homework 4

(includes one intermediate checkpoint)

 

 

 

 

 

 

Homework 3 (all)

 

Fri

Mar 2423

Lecture 27: Safety and Liveness Properties, Java Synchronizers, Dining Philosophers Problem

Module 2: 7.5, 7.6Topic 7.5 Lecture, Topic 7.6 Lectureworksheet27lec27-slides  Quiz for Unit 7

Quiz for Unit 6

11

Mon

Mar 2726

Lecture 28: Message Passing Interface (MPI), (start of Module 3)

 Topic 8.1 Lecture, Topic 8.2 Lecture, Topic 8.3 Lecture,worksheet28

lec28-slides

  

 

Wed

Mar 2928

Lecture 29:  Message Passing Interface (MPI, contd)

 Topic 8.4 Lecture, Topic 8.5 Lecture, Topic 8 Demonstration Videoworksheet29 lec29-slides

 Quiz for Unit 8

 

 

Fri

Mar 3130

Lecture 30: Distributed Map-Reduce using Hadoop and Spark frameworks

 Topic 9.1 Lecture (optional, overlaps with video 2.4), Topic 9.2 Lecture, Topic 9.3 Lectureworksheet30 lec30-slides  Quiz for Unit 7

12

Mon

Apr 0302

Lecture 31: TF-IDF and PageRank Algorithms with Map-Reduce

 Topic 9.4 Lecture, Topic 9.5 Lecture, Unit 9 Demonstrationworksheet31 lec31-slides  Quiz for Unit 9

 

 

Wed

Apr 0504

Lecture 32: Partitioned Global Address Space (PGAS) programming models

  worksheet32lec32-slides

 

Homework 4 Checkpoint-1

 

Fri

Apr 0706

Lecture 33: Combining Distribution and Multithreading

 Lectures 10.1 - 10.5, Unit 10 Demonstration (all videos optional – unit 10 has no quiz)worksheet33lec33-slides

 

Quiz for Unit 8

13

Mon

Apr 1009

Lecture 34: Task Affinity with Places

  worksheet34lec34-slides 


 

Wed

Apr 1211

Lecture 35: Eureka-style Speculative Task Parallelism

  worksheet35lec35-slides

 Homework 5

Homework 4 (all)

 

Fri

Apr 1413

Lecture 36: Algorithms based on Parallel Prefix (Scan) operations GPU Computing

  worksheet36

lec36-slides

Homework 5  

(Due April 21st, with automatic extension until May 1st after which slip days may be used)

Quiz for Unit 9

14

Mon

Apr 1716

Lecture 37: Algorithms based on Parallel Prefix (Scan) operations, contd.

  worksheet37lec37-slides 

 

 

Wed

Apr 1918

Lecture 38: GPU Computing Algorithms based on Parallel Prefix (Scan) operations, contd.  worksheet38lec38-slides

 

 

 

Fri

Apr 2120

Lecture 39: Course Review (Lectures 18-38)

   lec39-slides 

Homework 5 (automatic extension until May 1st, after which slip days may be used)

-MonApr 24Group Office Hours, 2pm - 3pm, DH 3092      -WedApr 26Group Office Hours, 2pm - 3pm, DH 3092   
   -FriApr 28Group Office Hours, 2pm - 3pm, DH 3076      

-

Tue

May 2

9am - 12noon, scheduled final exam in Keck 100 (Exam 2 – scope of exam limited to lectures 18 - 38)

 

 

  

 

 

Lab Schedule

08lab12-handout

Lab #

Date (20172018)

Topic

Handouts

Code Examples

0 Infrastructure Setuplab0-handout-

1

Jan 11

Async-Finish Parallel Programming with abstract metrics

lab1-handout, lab1
- slides lab_1.zip

2

Jan 1825

Futures and HJ-Viz 

lab2-handout, lab2
- slides lab_2.zip

3

Jan 25Feb 01

Cutoff Strategy and Real World Performance

lab3-handout , lab3- slides lab_3.zip

4

Feb 0115

Java's ForkJoin Framework

lab4-handout, lab4-slides  -

-

Feb 22

 

lab_4.zip

5

Feb 08

Loop-level Parallelism

lab5-handout, lab5-slides lab_5.zip

6

Feb 15

Phasers

lab6-handout   lab_6.zip

-

Feb 22No lab this week - Midterm Exam -

5

Mar 01

DDFs

 

lab5-handout-

6

Mar 05

Loop-level Parallelism

lab6-handout -

-

Mar 15

No lab this week — Exam 1 - Spring Break

-
  

7

Mar 0122

Isolated Statement and Atomic Variables

lab7-handout, lab7-slides 

8

Mar

29

Actors

lab8-handout 

-

Mar 15

No lab this week — Spring Break

  
9

Mar 22Apr 05

Java Threads, Java Locks

lab9-handout  

-10

Mar 29

No lab this week — Willy Week!

 

Apr 12

Apache Spark

lab10-handout  

1011

Apr 0519

Message Passing Interface (MPI) 

lab10lab11-handout  

11

Apr 12

Apache Spark

lab11-handout  
12Apr 19

 

 

Eureka-style Speculative Task Parallelism

  
  

 

  

Grading, Honor Code Policy, Processes and Procedures

Grading will be based on your performance on five homeworks (weighted 40% in all), two exams (weighted 40% in all), weekly lab exercises (weighted 10% in all), online quizzes (weighted 5% in all), and class participation including in-class Q&A, worksheets, Piazza participation class worksheets (weighted 5% in all).

The purpose of the homeworks is to give you practice in solving problems that deepen your understanding of concepts introduced in class. Homeworks are due on the dates and times specified in the course schedule.  No late submissions (other than those using slip days mentioned below) will be accepted.

...

Labs must be checked off by a TA prior to the start of the lab the following weekby the following Monday at 11:59pm.

Worksheets should be completed in class for full credit.  For partial credit, a worksheet can be turned in before the start of the class following the one in which the worksheet for distributed, so that solutions to the worksheets can be discussed in the next class.

...

  • In-class worksheets: You are free to discuss all aspects of in-class worksheets with your other classmates, the teaching assistants and the professor during the class. You can work in a group and write down the solution that you obtained as a group. If you work on the worksheet outside of class (e.g., due to an absence), then it must be entirely your individual effort, without discussion with any other students.  If you use any material from external sources, you must provide proper attribution.
  • Weekly lab assignments: You are free to discuss all aspects of lab assignments with your other classmates, the teaching assistants and the professor during the lab.  However, all code and reports that you submit are expected to be the result of your individual effort. If you work on the lab outside of class (e.g., due to an absence), then it must be entirely your individual effort, without discussion with any other students.  If you use any material from external sources, you must provide proper attribution (as shown here).
  • Homeworks: All submitted homeworks are expected to be the result of your individual effort. You are free to discuss course material and approaches to problems with your other classmates, the teaching assistants and the professor, but you should never misrepresent someone else’s work as your own. If you use any material from external sources, you must provide proper attribution.
  • Quizzes: Each online quiz will be an open-notes individual test.  The student may consult their course materials and notes when taking the quizzes, but may not consult any other external sources.
  • Exams: Each exam will be a closed-book, closed-notes, and closed-computer individual written test, which must be completed within a specified time limit.  No class notes or external materials may be consulted when taking the exams.

 Graded homeworks will be returned to you via email, and exams as marked-up hardcopies. If you believe we have made an error in grading your homework or exam, please bring the matter to our

attention within one weekFor grade disputes, please send an email to the course instructors within 7 days of receiving your grade. The email subject should include COMP 322 and the assignment. Please provide enough information in the email so that the instructor does not need to perform a checkout of your code.

Accommodations for Students with Special Needs

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