edX site | Autograder Guide |
COMP 322: Fundamentals of Parallel Programming (Spring
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2025)
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Instructor: | Mackale Joyner, DH 2063 | TAs: |
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| Raahim Absar, TJ Li | |
Piazza site: |
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Piazza site:
/comp322 (Piazza is the preferred medium for all course communications) | Cross-listing: | ELEC 323 |
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Lecture location: |
Herzstein Amp | Lecture times: | MWF 1: |
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00pm - |
1: |
50pm |
Lab |
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location: |
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Brockman 101 | Lab |
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time: |
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Mon 3: |
00pm - |
Th 4:50pm - 5:45pm (XW, RW, TR, KP, YW, FW)
3:50pm |
Course Syllabus 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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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.
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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 . 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.
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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)
There
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There 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:
- 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
Finally, here are some additional resources that may be helpful for you:
- Slides titled "MPI-based Approaches for Java" by Bryan Carpenter
Lecture Schedule
Week | Day | Date (2025 |
|---|
Week
Day
) | Lecture | Assigned Reading | Assigned Videos (see Canvas site for video links) | In-class Worksheets | Slides | Work Assigned | Work Due |
|---|
| Worksheet Solutions | ||
|---|---|---|
1 | Mon | Jan |
13 | Lecture 1: |
Introduction |
| worksheet1 | lec1- |
| slides | WS1-solution |
Wed | Jan |
15 | Lecture 2: |
Homework 1
2
Mon
Feb 01
Lecture 4: Parallel Speedup and Amdahl's Law
Wed
Feb 03
Functional Programming | worksheet2 | lec02-slides | WS2-solution | ||||||||
| Fri | Jan 17 | Lecture 3: Higher order functions | worksheet3 | lec3-slides | WS3-solution | ||||||
2 | Mon | Jan 20 | No class: MLK | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
Wed | Jan 22 | Lecture 4: Lazy Computation | worksheet4 | lec4-slides | WS4-solution | ||||||
Fri | Jan 24 | Lecture 5: Java Streams | worksheet5 | lec5-slides | Homework 1 | WS5-solution | |||||
| 3 | Mon | Jan 27 | 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 29 | Lecture 7: Futures |
Fri
Feb 05
| Module 1: Section 2. |
| 1 | Topic 2. |
| 1 Lecture , Topic 2. |
| 1 Demonstration |
| worksheet7 |
| lec7-slides |
| WS7-solution | |||
Fri | Jan 31 | 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 |
| Feb 03 |
Wed
Feb 10
| 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 | Feb 05 | Lecture 10: Event-based programming model | worksheet10 | lec10-slides |
| Homework 1 |
| WS10-solution | ||
| Fri | Feb |
| 07 | 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 |
10 | 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 12 | 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 |
14 |
Fri
Feb 19
| No class: Spring Recess | ||||||||
| 6 | Mon | Feb 17 | 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 |
5
Mon
Feb 22
Lecture 12: Parallelism in Java Streams, Parallel Prefix Sums
Wed
Feb 24
Lecture 13: Iterative Averaging Revisited, SPMD pattern
Homework 3 (includes one intermediate checkpoint)
Quiz for Unit 3
Fri
Feb 26
Lecture 14: Data-Driven Tasks
Wed
Mar 03
Lecture 15: Point-to-point Synchronization with Phasers
Fri
Mar 05
Lecture 16: Pipeline Parallelism, Signal Statement, Fuzzy Barriers
7
Mon
Mar 08
Lecture 17: Midterm Review
Wed
Mar 10
Lecture 18: Abstract vs. Real Performance
Fri
Mar 12
Lecture 19: Critical Sections, Isolated construct (start of Module 2)
| WS14-solution | |||||||||||
Wed | Feb 19 | Lecture 15: Limitations of Functional parallelism. | worksheet15 | lec15-slides | Homework 2 | WS15-solution | |||||
| Fri | Feb 21 | Lecture 16: Recursive Task Parallelism | worksheet16 | lec16-slides | Homework 3 | WS16-solution | |||||
7 | Mon | Feb 24 | Lecture 17: Midterm Review | lec17-slides | |||||||
Wed | Feb 26 | Lecture 18: Midterm Review | lec18-slides | ||||||||
Fri | Feb 28 | Lecture 19: Fork/Join programming model | Topic 2.7 Lecture, Topic 2.7 Demonstration, Topic 2.8 Lecture, Topic 2.8 |
| Demonstration | worksheet19 | lec19-slides |
| WS19-solution | |||
8 | Mon | Mar |
|---|
| 03 | 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 | worksheet20 | lec20-slides |
Homework 3, Checkpoint-1
| WS20-solution | ||
Wed | Mar |
05 | 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 |
Lecture 22: Actors (contd)
07 | 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 |
Quiz for Unit 4
| WS22-solution | ||
9 | Mon | Mar |
|---|
10 | Lecture 23: |
Fuzzy Barriers with Phasers | Module |
| 1: |
| Section 4. |
| 1 |
| Topic 4. |
| 1 Lecture, Topic |
| 4. |
| 1 Demonstration |
| worksheet23 | lec23-slides |
Wed
Mar 24
Homework 3 (CP 1) | WS23-solution | |||
Wed | Mar 12 | Lecture 24: Confinement & Monitor Pattern. Critical sections | Module 2: |
| Sections 5.1, |
| 5.2 | Topic |
| 5.1 Lecture, Topic 5.1 Demonstration, Topic |
10
Mon
Mar 29
Lecture 25: Java Threads, Java synchronized statement (contd), wait/notify
| 5.2 Lecture, Topic 5.2 Demonstration, Topic 5.6 Lecture, Topic 5.6 Demonstration | worksheet24 | lec24-slides | WS24-solution | |||
Fri | Mar 14 | 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 |
Wed
Mar 31
Lecture 26: Java Threads (exercise)
Fri
Apr 02
| WS25-solution | |||||||||||
Mon | Mar 17 | No class: Spring Break | |||||||||
| Wed | Mar 19 | No class: Spring Break | |||||||||
Fri | Mar 21 | No class: Spring Break | |||||||||
10 | Mon | Mar 24 | Lecture 26: Java Threads and |
Locks | Module 2: Sections 7.1, 7.3 | Topic 7.1 Lecture, Topic 7.3 Lecture |
Quiz for Unit 6
| worksheet26 | lec26-slides | WS26-solution | |||
Wed | Mar 26 | Lecture 27: Read-Write Locks, Soundness and progress guarantees |
11
Mon
Apr 05
| Module 2: Section 7. |
| 3 | Topic 7. |
Homework 4 (includes one intermediate checkpoint)
Wed
Apr 07
Lecture 29: Java Locks (exercise)
Fri
Apr 09
Lecture 30: Safety and Liveness Properties, Java Synchronizers, Dining Philosophers Problem
Quiz for Unit 7
Quiz for Unit 6
| 3 Lecture, Topic 7.5 Lecture | worksheet27 | lec27-slides | Homework 3 (CP 2) | WS27-solution | |||||||
Fri | Mar 28 | Lecture 28: Dining Philosophers Problem | Topic 7.6 Lecture | worksheet28 | lec28-slides | WS28-solution | |||||
11 | Mon | Mar 31 | Lecture 29: Linearizability of Concurrent Objects | Module 2: Sections 7.4 | Topic 7.4 Lecture | worksheet29 | lec29-slides | WS29-solution | |||
|---|---|---|---|---|---|---|---|---|---|---|---|
Wed | Apr 02 | Lecture 30: Parallel Spanning Tree, other graph algorithms | worksheet30 | lec30-slides | WS30-solution | ||||||
Fri | Apr 04 | No class |
12 | Mon | Apr |
|---|
07 | 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 | ||
Wed | Apr |
09 | Lecture 32 |
: Active Object Pattern. 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 |
Fri | Apr |
11 | Lecture 33: |
Task Affinity and locality. Memory hierarchy | worksheet33 | lec33-slides | WS33-solution |
Homework 4 Checkpoint-1
13 | Mon | Apr |
|---|
14 | Lecture 34: |
| Eureka-style Speculative Task Parallelism | worksheet34 |
| lec34-slides |
Quiz for Unit 8
| WS34-solution | |||
| Wed | Apr |
| 16 | Lecture 35: |
| Scan Pattern. Parallel Prefix Sum | worksheet35 |
| lec35-slides |
| Homework 4 (CP 1) | WS35-solution |
| Fri | Apr |
| 18 | Lecture 36: |
| Scan Pattern. Parallel Prefix Sum cont. | lec36- |
| slides | ||||||||||
| 14 | Mon | Apr 21 | Lecture 37: Parallel Prefix Sum applications | worksheet37 | lec37-slides | WS37-solution |
14
Mon
Apr 26
TBD
| Wed | Apr |
| 23 | Lecture 38: Course Review (Lectures 19- |
| 34) |
| lec38-slides | Homework 4 (All) | ||||||
| Fri | Apr 25 | Lecture 39: Course Review (Lectures 19-34) | lec39-slides |
Lab Schedule
Lab # | Date ( |
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2025) | Topic | Handouts | Examples |
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1 |
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Jan 13 | Infrastructure |
setup | lab0-handout |
1
Jan 26
lab1-handout |
| - |
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| Jan 20 | No lab this week |
| (MLK) | ||
| 2 |
|---|
Feb 09
| Jan 27 | Functional Programming |
| lab2-handout |
3 | Feb |
|---|
Cutoff Strategy and Real World Performance
Feb 23
DDFs
5
Mar 09
Loop-level Parallelism
-
03 | Futures | lab3-handout | ||
| 4 | Feb 10 | Data-Driven Tasks | lab4-handout | |
|---|---|---|---|---|
- | Feb 17 |
No lab this week |
| - |
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Isolated Statement and Atomic Variables
Java Threads, Java Locks
-
Message Passing Interface (MPI)
-
Apache Spark
-
Eureka-style Speculative Task Parallelism
Java's ForkJoin Framework
| Feb 24 | No lab this week (Midterm Exam) | |||
| 5 | Mar 03 | Loop Parallelism | lab5-handout | image kernels |
|---|---|---|---|---|
| 6 | Mar 10 | Recursive Task Cutoff Strategy | lab6-handout | |
| - | Mar 17 | No lab this week (Spring Break) | ||
| 7 | Mar 24 | Java Threads | lab7-handout | |
| - | Mar 31 | No lab this week | ||
| 8 | Apr 07 | Concurrent Lists | lab8-handout | |
| 9 | Apr 14 | Actors | lab9-handout | |
- | Apr 21 | No lab this week |
Grading, Honor Code Policy, Processes and Procedures
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Labs must be submitted by the following Monday at 11:59pmFriday at 4pm. 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.
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