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, TR, KP, YW, FW, EA)
3:50pm |
Course 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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- 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 |
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Week
Day
) | Lecture | Assigned Reading | Assigned Videos (see Canvas site for video links) | In-class Worksheets | Slides | Work Assigned | Work Due |
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Worksheet Solutions | ||
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1 | Mon | Jan |
13 | Lecture 1: |
Introduction |
worksheet1 | lec1-slides |
WS1-solution |
Wed | Jan |
15 | Lecture 2: |
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 | ||||||||
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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 |
Feb 05
Lecture 6: Finish Accumulators
WS6-solution |
Fri
Wed | Jan 29 | Lecture 7: Futures |
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 | Lecture 9: Ideal Parallelism, Data-Driven Tasks |
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Wed
Feb 10
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 |
4
Mon
Feb 22
Wed
Feb 24
Lecture 11: Iteration Grouping (Chunking), Barrier Synchronization
Topic 3.3 Lecture , Topic 3.3 Demonstration, Topic 3.4 Lecture , Topic 3.4 Demonstration
Fri
Feb 26
Lecture 12: Parallelism in Java Streams, Parallel Prefix Sums
Mon
Mar 01
Spring "Sprinkle" Day (no class)
Wed
Lecture 13: Iterative Averaging Revisited, SPMD pattern
Homework 3 (includes one intermediate checkpoint)
Quiz for Unit 3
7
Mon
Mar 08
Lecture 15: Point-to-point Synchronization with Phasers
Wed
Mar 10
Lecture 16: Pipeline Parallelism, Signal Statement, Fuzzy Barriers
Fri
Mar 12
Lecture 17: Abstract vs. Real Performance
8
Mon
Mar 15
Lecture 18: Midterm Review
Wed
Mar 17
Lecture 19: Critical Sections, Isolated construct (start of Module 2)
Fri
Mar 19
Lecture 20: Parallel Spanning Tree algorithm, Atomic variables
Quiz for Unit 4
9
Mon
Mar 22
Lecture 21: Actors
Topic 6.1 Lecture , Topic 6.1 Demonstration , Topic 6.2 Lecture, Topic 6.2 Demonstration
Wed
Mar 24
Lecture 22: Actors (contd)
Homework 3, Checkpoint-1
Fri
Mar 26
Mon
Lecture 23: Actors (contd)
Quiz for Unit 5
Quiz for Unit 6
Fri
Apr 02
Lecture 25: Java Threads, Java synchronized statement (contd), wait/notify
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 | 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 | 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. 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 | 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 | 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 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 | 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 | 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 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 | 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 |
11
Mon
Apr 05
Lecture |
worksheet26 |
lec26- |
slides | WS26-solution |
Wed |
Mar 26 | 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 28 | Lecture 28: |
Dining Philosophers Problem | Topic 7. |
6 Lecture |
worksheet28 | lec28-slides |
Homework 4 (includes one intermediate checkpoint)
Quiz for Unit 6
WS28-solution | |||
11 |
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Mon |
Mar 31 | Lecture |
29: Linearizability of Concurrent Objects | Module 2: Sections 7. |
4 |
Topic 7. |
4 Lecture |
worksheet29 |
lec29-slides |
Quiz for Unit 7
WS29-solution | ||
Wed | Apr |
02 | Lecture |
30: Parallel Spanning Tree, other graph algorithms | worksheet30 | lec30-slides | WS30-solution |
Fri | Apr |
04 | 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 07 | 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 | |
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Wed | Apr 09 | Lecture 33: Task Affinity and locality. Memory hierarchy | worksheet33 | lec33-slides | WS33-solution | ||||||
Fri | Apr 11 | Lecture 34: Eureka-style Speculative Task Parallelism | worksheet34 | lec34-slides | WS34-solution | ||||||
13 | Mon | Apr 14 | No class: Solar Eclipse | ||||||||
Wed | Apr 16 | Lecture 35: Scan Pattern. Parallel Prefix Sum | worksheet35 | lec35-slides | Homework 4 (CP 1) | WS35-solution | |||||
Fri | Apr 18 | Lecture 36: Parallel Prefix Sum applications | worksheet36 | lec36-slides | WS36-solution | ||||||
14 | Mon | Apr 21 | Lecture 37: Overview of other models and frameworks | lec37-slides | |||||||
Wed | Apr 23 | Lecture 38 |
Quiz for Unit 7
13
Mon
Apr 19
Lecture 33: Message Passing Interface (MPI, contd)
Homework 4 Checkpoint-1
Wed
Apr 21
Lecture 34: Task Affinity with Places
lec34-slides
Quiz for Unit 8
Fri
Apr 23
Lecture 35: Eureka-style Speculative Task Parallelism
14
Mon
Apr 26
: 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 |
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Handouts
Examples
Handouts | Examples |
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1 | Jan |
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13 | Infrastructure setup |
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Jan 20 | No lab this week |
(MLK) | ||
2 |
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Feb 09
Jan 27 | Functional Programming |
lab2-handout |
3 | Feb |
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03 | Futures | lab3-handout |
4 |
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Mar 02
Feb 10 | Data-Driven Tasks | lab4- |
handout | |
- |
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Feb 17 | No lab this week |
- |
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Feb 24 | No lab this week ( |
Midterm Exam) | ||
5 | Mar |
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03 | Loop |
Parallelism | lab5-handout |
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Isolated Statement and Atomic Variables
Java Threads, Java Locks
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Message Passing Interface (MPI)
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Apache Spark
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Eureka-style Speculative Task Parallelism
Java's ForkJoin Framework
image kernels | ||||
6 | Mar 10 | Recursive Task Cutoff Strategy | lab6-handout | |
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- | Mar 17 | No lab this week (Spring Break) | ||
7 | Mar 24 | Java Threads | lab7-handout | |
8 | Mar 31 | Concurrent Lists | lab8-handout | |
9 | Apr 07 | Actors | lab9-handout | |
- | Apr 14 | No lab this week | ||
- | 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 11:59pm3pm. 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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