edX site | Autograder Guide |
COMP 322: Fundamentals of Parallel Programming (Spring
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2024)
Instructor: | Mackale Joyner, DH 2063 |
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TAs: |
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Haotian Dang, Andrew Ondara, Stefan Boskovic, Huzaifa Ali, Raahim Absar | |
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 1:00pm - 1:50pm |
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Lab locations: |
Mon (Brockman 101) Tue (Herzstein Amp) | Lab times: | Mon 3:00pm - 3:50pm (SB, HA, AO) |
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Tue 4: |
00pm - |
4: |
50pm (RA, 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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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 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 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
Finally, here are some additional resources that may be helpful for you:
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Lecture Schedule
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Week
Week |
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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 |
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Worksheet Solutions | ||
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1 | Mon | Jan |
08 | Lecture 1: |
Introduction | worksheet1 | lec1- |
slides | WS1-solution |
Wed | Jan |
10 | Lecture 2: |
Homework 1
Functional Programming | worksheet2 | lec02-slides | WS2-solution |
Fri | Jan |
12 | Lecture 3: |
Higher order functions | worksheet3 |
lec3- |
2
slides | WS3-solution | ||||||||||
2 | Mon | Jan 15 | No class: MLK | ||||||||
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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 |
Wed
Jan 19
Module 1: Section 2. |
4 | Topic 2. |
4 Lecture, Topic 2. |
4 Demonstration |
worksheet6 |
lec6-slides |
Fri
Jan 21
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 |
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Mon |
Jan 29 |
Wed
Jan 26
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- |
Homework 2
Fri
Jan 28
Lecture 9: Java’s Fork/Join Library
4
Lecture 12: Data-Driven Tasks
Module 1: Section 4.5
Topic 4.5 Lecture Topic 4.5 Demonstration
Mon
Feb 07
Abstract performance metrics
Wed
Feb 09
Lecture 13: Lightweight task parallelism. Finish/async
Topic 1.1 Lecture , Topic 1.1 Demonstration
Fri
Feb 11
Mon
Feb 14
Lecture 14: Parallel Speedup, Critical Path, Amdah's Law
Wed
Lecture 15: Recursive Task Parallelism
Homework 3 (includes one intermediate checkpoint)
Lecture 16: Accumulation and reduction. Finish accumulators
7
Mon
Feb 21
Lecture 17: Midterm Review
Wed
Feb 23
Lecture 18: Limitations of Functional parallelism.
Abstract vs. real performance. Cutoff Strategy
Fri
Lecture 19: Data Races, Functional & Structural Determinism
8
Mon
Feb 28
Lecture 20: Confinement & Monitor Pattern. Critical sections
Global lock
Wed
Mar 02
Lecture 21: N-Body problem, applications and implementations
Fri
Mar 04
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 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 | worksheet20 | lec20-slides | WS20-solution | |||
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 | 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 | ||
Wed | Mar 06 | 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 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 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 |
Quiz for Unit 4
9
Mon
Mar 07
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 25 | Lecture 29: Linearizability |
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Wed
Mar 09
Lecture 24: Parallel Spanning Tree, other graph algorithms
Homework 3, Checkpoint-1
Fri
Mar 11
of Concurrent Objects | Module 2: Sections 7.4 | Topic 7.4 Lecture |
worksheet29 |
lec29-slides |
Quiz for Unit 5
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 01 | 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 | |
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 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 |
Mon
No class: Spring Break
Fri
Mar 18
No class: Spring Break
10
Mon
Mar 21
Lecture 26: Java Locks - Soundness and progress guarantees
Wed
Mar 23
Lecture 27: Dining Philosophers Problem
Fri
Mar 25
Lecture 28: Read-Write Pattern. Read-Write Locks. Fairness & starvation
Quiz for Unit 7
11
Mon
Mar 28
Lecture 29: Task Affinity and locality. Memory hierarchy
Quiz for Unit 6
Wed
Mar 30
Lecture 30: Reactor Pattern. Web servers
Fri
Apr 01
Lecture 31: Scan Pattern. Parallel Prefix Sum, uses and algorithms
Quiz for Unit 7
12
Mon
Apr 04
Homework 4 Checkpoint-1
Wed
Apr 06
Lecture 33: Barrier Synchronization with phasers
Topic 3.4 Lecture , Topic 3.4 Demonstration
Fri
Apr 08
Lecture 34: Stencil computation. Point-to-point Synchronization with Phasers
Quiz for Unit 8
13
Mon
Apr 11
Topic 6.1 Lecture , Topic 6.1 Demonstration , Topic 6.2 Lecture, Topic 6.2 Demonstration
Topic 6.3 Lecture , Topic 6.3 Demonstration , Topic 6.4 Lecture, Topic 6.4 Demonstration
Lab Schedule
Lab # | Date ( |
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2023) | Topic | Handouts | Examples |
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1 |
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Jan 08 | Infrastructure |
setup | lab0-handout |
1
Jan 10
lab1-handout |
- | Jan |
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15 | No lab this week (MLK) |
2 | Jan |
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22 |
Functional Programming | lab2-handout |
3 |
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Feb 07
Jan 29 | Futures | lab3-handout |
4 | Feb |
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05 | Data-Driven Tasks | lab4- |
handout | |
- | Feb |
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12 | No lab this week |
- | Feb |
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19 | No lab this week (Midterm Exam) |
5 |
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Feb 26 | Loop |
Parallelism | lab5-handout |
image kernels | |
6 | Mar |
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04 | Recursive Task Cutoff Strategy | lab6-handout |
- | Mar |
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11 | No lab this week (Spring Break) |
7 | Mar |
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18 | Java Threads |
lab7-handout |
8 |
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Apr 04
Mar 25 | Concurrent Lists |
lab8-handout |
-
Apr 11
Message Passing Interface (MPI)
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Apr 18
Apache Spark
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Eureka-style Speculative Task Parallelism
Java's ForkJoin Framework
9 | Apr 01 | Actors | lab9-handout | |
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- | Apr 08 | No lab this week (Solar Eclipse) | ||
- | Apr 15 | 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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