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edX site | Autograder Guide |
COMP 322: Fundamentals of Parallel Programming (Spring
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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 |
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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.
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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)
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- Fork-Join Parallelism with a Data-Structures Focus (FJP) by Dan Grossman (Chapter 7 in Topics in Parallel and Distributed Computing)
- Java Concurrency in Practice by Brian Goetz with Tim Peierls, Joshua Bloch, Joseph Bowbeer, David Holmes and Doug Lea
- Principles of Parallel Programming by Calvin Lin and Lawrence Snyder
- The Art of Multiprocessor Programming by Maurice Herlihy and Nir Shavit
Lecture Schedule
Week | Day | Date ( |
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2024) | Lecture | Assigned Reading | Assigned Videos (see Canvas site for video links) | In-class Worksheets | Slides | Work Assigned | Work Due | Worksheet Solutions | |
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1 | Mon | Jan |
08 | Lecture 1: Introduction | worksheet1 | lec1- |
slides | WS1-solution | |||
Wed | Jan |
10 | Lecture 2: Functional Programming | worksheet2 | lec02-slides | WS2-solution | |||||
Fri | Jan |
12 | Lecture 3: Higher order functions |
worksheet3 | lec3- |
slides |
WS3-solution | ||||
2 | Mon | Jan |
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15 | No class: MLK | ||||||||
Wed | Jan |
17 | Lecture 4: Lazy Computation | worksheet4 | lec4-slides | WS4-solution | |||||
Fri | Jan |
19 | Lecture 5: Java Streams | worksheet5 | lec5-slides | Homework 1 | WS5-solution | ||||
3 | Mon | Jan |
22 | Lecture 6: Map Reduce with Java Streams | Module 1: Section 2.4 | Topic 2.4 Lecture, Topic 2.4 Demonstration | worksheet6 | lec6-slides | WS6-solution | |||
Wed | Jan |
24 | Lecture 7: Futures | Module 1: Section 2.1 | Topic 2.1 Lecture , Topic 2.1 Demonstration | worksheet7 | lec7-slides | WS7-solution | |||
Fri | Jan |
26 | Lecture 8: Async, Finish, Computation Graphs | Module 1: Sections 1.1, 1.2 | Topic 1.1 Lecture, Topic 1.1 Demonstration, Topic 1.2 Lecture, Topic 1.2 Demonstration | worksheet8 | lec8-slides | WS8-solution | |||
4 | Mon | Jan |
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29 | 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 | |||
Wed |
Jan 31 | Lecture 10: Event-based programming model | worksheet10 | lec10-slides | Homework 1 | WS10-solution | ||||
Fri | Feb |
02 | Lecture 11: GUI programming, Scheduling/executing computation graphs | Module 1: Section 1.4 | Topic 1.4 Lecture , Topic 1.4 Demonstration | worksheet11 | lec11-slides | Homework 2 | WS11-solution | ||
5 | Mon | Feb |
05 | Lecture 12: Abstract performance metrics, Parallel Speedup, Amdahl's Law | Module 1: Section 1.5 | Topic 1.5 Lecture , Topic 1.5 Demonstration | worksheet12 | lec12-slides | WS12-solution | |||
Wed | Feb |
07 | Lecture 13: Accumulation and reduction. Finish accumulators | Module 1: Section 2.3 | Topic 2.3 Lecture Topic 2.3 Demonstration | worksheet13 | lec13-slides | WS13-solution | |||
Fri | Feb |
09 | No class: Spring Recess | ||||||||
6 | Mon | Feb |
12 | Lecture 14: Data Races, Functional & Structural Determinism | Module 1: Sections 2.5, 2.6 | Topic 2.5 Lecture , Topic 2.5 Demonstration, Topic 2.6 Lecture, Topic 2.6 Demonstration | worksheet14 | lec14-slides | WS14-solution | |||
Wed | Feb |
14 | Lecture 15: Limitations of Functional parallelism. | worksheet15 | lec15-slides | Homework 2 | WS15-solution | ||||
Fri | Feb |
16 | Lecture 16: Recursive Task Parallelism | worksheet16 | lec16-slides | Homework 3 | WS16-solution | ||||
7 | Mon | Feb |
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19 | Lecture 17: Midterm Review | lec17-slides | |||||||
Wed | Feb |
21 | Lecture 18: Midterm Review | lec18-slides | |||||||
Fri | Feb |
23 | 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 | worksheet19 | lec19-slides | WS19-solution | ||||
8 | Mon | Feb 26 | Lecture 20: Data-Parallel Programming model. Loop-Level Parallelism, Loop 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 |
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worksheet20 |
lec20-slides |
WS20-solution |
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Wed | Feb |
28 | Lecture |
21: Barrier Synchronization with Phasers | Module 1: Sections 3.4 | Topic 3.4 Lecture, Topic 3.4 Demonstration |
worksheet21 |
lec21-slides |
WS21-solution |
Fri | Mar 01 | Lecture |
22: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 Lecture, Topic 4.3 Demonstration |
worksheet22 |
lec22-slides |
WS22-solution | |||
9 |
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Mon | Mar |
04 | Lecture |
23: Fuzzy Barriers with Phasers | Module 1: Section 4.1 | Topic 4.1 Lecture, Topic 4.1 Demonstration |
worksheet23 |
lec23-slides |
Homework 3 (CP 1) | WS23 |
-solution |
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Wed | Mar 06 | Lecture |
24: Confinement & Monitor Pattern. Critical sections | Module 2: Sections |
5.1, |
5. |
2 | Topic |
5.1 Lecture, Topic |
Homework 3 (CP 1)
Wed
Mar 08
Lecture 24: Java Locks - Soundness and progress guarantees
5.1 Demonstration, Topic 5.2 Lecture, Topic 5.2 Demonstration, Topic 5.6 Lecture, Topic 5.6 Demonstration | worksheet24 | lec24-slides | WS24-solution | |||
Fri | Mar |
08 | Lecture 25: |
Atomic variables, Synchronized statements | Module 2: Sections 5.4, 7. |
2 | Topic 5.4 Lecture, Topic 5.4 Demonstration, Topic 7.2 Lecture | worksheet25 |
lec25-slides | WS25-solution | |||
Mon | Mar |
11 | No class: Spring Break | ||||||||
Wed | Mar |
13 | No class: Spring Break | ||||||||
Fri | Mar |
15 | No class: Spring Break | ||||||||
10 | Mon | Mar |
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18 | Lecture 26: Java Threads and Locks | Module 2: Sections 7.1, 7.3 | Topic 7.1 Lecture, Topic 7.3 Lecture | worksheet26 | lec26-slides | WS26-solution | |||
Wed | Mar |
20 | Lecture 27: Read-Write Locks, |
Soundness and progress guarantees | Module 2: Section 7.3 |
Topic 7.3 Lecture, Topic 7. |
5 Lecture | worksheet27 | lec27-slides | Homework 3 (CP 2) | WS27-solution | ||
Fri | Mar |
22 | Lecture 28: |
Dining Philosophers Problem | Topic 7.6 Lecture | worksheet28 | lec28-slides | WS28-solution | ||||
11 | Mon | Mar |
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25 | Lecture 29: |
Linearizability of Concurrent Objects | Module 2: |
Sections 7.4 | Topic |
7.4 |
Lecture | worksheet29 | lec29-slides | WS29-solution | |||
Wed | Mar |
27 | Lecture 30: |
Parallel Spanning Tree, other graph algorithms | worksheet30 | lec30-slides |
WS30-solution | |||
Fri | Mar |
29 | Lecture 31: |
Message-Passing programming model |
with Actors | Module 2: Sections 6.1, 6.2 | Topic 6.1 Lecture, Topic |
6. |
1 Demonstration, Topic 6.2 |
Lecture, Topic 6.2 |
Demonstration | worksheet31 | lec31-slides |
WS31-solution | ||||
12 | Mon | Apr |
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01 | Lecture 32: |
Active Object Pattern. |
Global lock
Combining Actors with task parallelism | Module 2: |
Sections 6. |
3, |
6.4 | Topic |
6. |
3 Lecture, Topic |
6.3 Demonstration, Topic |
6. |
4 Lecture, Topic |
6. |
4 Demonstration | worksheet32 | lec32-slides | Homework 4 | Homework 3 (All) | WS32-solution | |
Wed | Apr |
03 | Lecture 33: |
Task Affinity and locality. Memory hierarchy | worksheet33 | lec33-slides | WS33-solution | |||||
Fri | Apr |
05 | Lecture 34: |
Eureka-style Speculative Task Parallelism | worksheet34 | lec34-slides | WS34-solution | |||||
13 | Mon | Apr |
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08 |
No class: Solar Eclipse | ||||||||
Wed | Apr |
10 | Lecture |
35: Scan Pattern. Parallel Prefix Sum |
worksheet35 |
lec35-slides |
Homework 4 (CP 1) | WS35-solution | ||
Fri | Apr |
12 | Lecture |
36: Parallel Prefix Sum applications |
worksheet36 |
lec36-slides | WS36-solution | |||
14 | Mon | Apr |
15 | Lecture |
37: Overview of other models and frameworks |
lec37-slides | |||||||
Wed | Apr |
17 | Lecture |
38: Course Review (Lectures 19- |
34) |
lec38-slides | Homework 4 (All) | ||||
Fri | Apr |
19 | Lecture |
39: Course Review (Lectures 19- |
34) |
lec39-slides |
Lab Schedule
Lab # | Date (2023) | Topic | Handouts | Examples | |||
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1 | Jan 0908 | Infrastructure setup | lab0-handout lab1-handout | ||||
- | Jan 1615 | No lab this week (MLK) | |||||
2 | Jan 2322 | Functional Programming | lab2-handout | ||||
3 | Jan 3029 | Futures | lab3-handout | ||||
4 | Feb 0605 | Data-Driven Tasks | lab4-handout | ||||
5- | Feb 13 | Async / Finish | lab5-handout | 12 | No lab this week | ||
- | Feb 19 | - | Feb 20 | No lab this week (Midterm Exam) | |||
65 | Feb 2726 | Loop Parallelism | lab6lab5-handout | image kernels | |||
76 | Mar 0604 | Recursive Task Cutoff Strategy | lab7lab6-handout | ||||
- | Mar 1311 | No lab this week (Spring Break) | |||||
87 | Mar 2018 | Java Threads | lab8lab7-handout | ||||
98 | Mar 2725 | Concurrent Lists | lab9lab8-handout | ||||
-9 | Apr 03 | TBD | 01 | Actors | lab9-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
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Labs must be submitted by the following Wednesday Monday at 4:30pm3pm. Labs must be checked off by a TA.
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