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Instructor:

Mackale Joyner, DH 2071

Head TA:Abbey Baker

Co-Instructor:

Zoran Budimlić, DH 3081

Graduate TAs:

Jonathan Sharman, Srdjan Srdan Milakovic

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

Ashok Sankaran, 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/j3w0pi8pl9s8s (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:

Sewall Hall 301

Lecture times:

MWF 1:00pm - 1:50pm

Lab locations:

Sewall Hall 301

Lab times:

Thursday, 4:00pm - 4:50pm

...

  • Module 1 handout (Parallelism)
  • Module 2 handout handout (Concurrency)
  • There is no lecture handout for Module 3 (Distribution and Locality).  The instructors will refer you to optional resources to supplement the lecture slides and videos.

...

19

Week

Day

Date (2018)

Lecture

Assigned Reading

Assigned Videos (see Canvas site for video links)

In-class Worksheets

Slides

Work Assigned

Work Due

1

Mon

Jan 08

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 10

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 12Lecture 3: Abstract Performance Metrics, Multiprocessor SchedulingModule 1: Section 1.4Topic 1.4 Lecture, Topic 1.4 Demonstrationworksheet3lec3-slides

 

 

2

Mon

Jan 15

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

      

 

Wed

Jan 17

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

Quiz for Unit 1

  Fri

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 22

Lecture 6: Memoization

Module 1: Section 2.2Topic 2.2 Lecture, Topic 2.2 Demonstration
worksheet6lec6-slides   WedJan 24

Lecture 7: Finish Accumulators

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

Homework 2

Homework 1

 

Fri

Jan 26

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 29

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  

 

Wed

Jan 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 02

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 05

Lecture 12:  Barrier Synchronization

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

Wed

Feb 07

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 09

Spring Recess

     Quiz for Unit 2 

6

Mon

Feb 12

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 14

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 16

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 19

Lecture 17: Midterm Summary

   lec17-slides  

 

Wed

Feb 21

Midterm Review (interactive Q&A)

    Exam 1 held during lab time (3:00pm - 6:00pm), scope of exam limited to lectures 1-16   

 

Fri

Feb 23

Lecture 18: Abstract vs. Real Performance

  worksheet18 lec18lec18-slides  Homework 3, Checkpoint-1

8

Mon

Feb 26

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

 

 

Wed

Feb 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 02

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 05

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 07

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 09

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 12 - Mar 16

Spring Break

      

10

Mon

Mar 19

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

Module 2: 7.2Topic 7.2 Lectureworksheet25 lec25-slides 

 

 

 

Wed

Mar 21

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 23

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 26

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 28

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 30

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 02

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 04

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

  worksheet32lec32-slides

 

Homework 4 Checkpoint-1

 

Fri

Apr 06

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 09

Lecture 34: Task Affinity with Places

  worksheet34lec34-slides 


 

Wed

Apr 11

Lecture 35: Eureka-style Speculative Task Parallelism

  worksheet35lec35-slides

Homework 5

Homework 4 (all)

 

Fri

Apr 13

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

  worksheet36

lec36-slides

 

Quiz for Unit 9

14

Mon

Apr 16

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

  worksheet37lec37-slides 

 

 

Wed

Apr 18

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

 

 

 

Fri

Apr 20

Lecture 39: Course Review (Lectures 18-38)

   lec39-slides 

Homework 5

-         
          

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
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 handout -

-

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

TBD

 

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

...

  • 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 7 daysFor 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

...