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COMP 322: Fundamentals of Parallel Programming (Spring
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2023)
Instructor: | Mackale Joyner, DH 2063 |
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TAs: |
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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 Zhang | |
Piazza site: |
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spring2023/comp322 (Piazza is the preferred medium for all course communications) | Cross-listing: | ELEC 323 |
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Lecture location: | Herzstein Amphitheater |
Lecture times: | MWF 1:00pm - 1:50pm | |
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Lab locations: | Mon (Herzstein Amp), Tue (Keck 100 |
) | Lab times: | Mon 3:00pm - 3:50pm ( |
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Raiyan, Oscar, Mohamed, Ryan, Michelle, Taha, Jasmine) |
Tue 4: |
00pm - |
4: |
50pm ( |
Tina, |
Delaney, |
Chase, |
Hung, |
Jerry, Kailin) |
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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- 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
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Week | Day | Date ( |
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2023) | 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 |
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09 | Lecture 1: Introduction |
worksheet1 | lec1- |
slides | WS1-solution |
Wed | Jan |
11 | Lecture 2: Functional Programming |
worksheet2 | lec02-slides |
WS2-solution |
Fri | Jan |
13 | Lecture 3: Higher order functions |
worksheet3 |
lec3- |
slides |
WS3-solution |
2 | Mon | Jan |
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16 | No class: MLK |
Wed | Jan |
18 | Lecture 4: Lazy Computation |
worksheet4 | lec4-slides |
WS4-solution |
Fri | Jan |
20 | Lecture 5: Java Streams |
worksheet5 | lec5-slides | Homework 1 |
WS5-solution |
3 | Mon | Jan |
23 | 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 |
25 | Lecture 7: Futures | Module 1: Section 2.1 | Topic 2.1 Lecture , Topic 2.1 Demonstration | worksheet7 | lec7-slides |
WS7-solution |
Fri | Jan |
27 | 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 |
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Jan |
30 | 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 | lec9-slides |
WS9-solution |
Wed | Feb |
01 | Lecture 10: Event-based programming model |
worksheet10 | lec10-slides |
Homework 1 | WS10-solution |
Fri | Feb |
03 | Lecture 11: GUI programming |
futures/callbacks in 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 |
06 | 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 |
08 | 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 |
10 | No class: Spring Recess |
6 |
Mon |
Feb 13 | Lecture 14: Recursive Task Parallelism |
worksheet14 |
Mon
Feb 14
lec14-slides | WS14-solution | |||
Wed | Feb 15 | Lecture 15: 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 |
worksheet15 |
lec15-slides |
Wed
Lecture 15: Recursive Task Parallelism
Lecture 16: Lightweight task parallelism. Finish/async
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
Wed
Mar 02
Lecture 21: N-Body problem, applications and implementations
Fri
Mar 04
Homework 2 | WS15-solution | ||||||||||
Fri | Feb 17 | Lecture 16: Limitations of Functional parallelism. | worksheet16 | lec16-slides | Homework 3 | WS16-solution | |||||
7 | Mon | Feb 20 | Lecture 17: Midterm Review | lec17-slides | |||||||
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Wed | Feb 22 | Lecture 18: Midterm Review | lec18-slides | WS18-solution | |||||||
Fri | Feb 24 | 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 27 | Lecture 20: Confinement & Monitor Pattern. Critical sections | Module 2: Sections 5.1, 5.2, 5.6 | Topic 5.1 Lecture, Topic 5.1 Demonstration, Topic 5.2 Lecture, Topic 5.2 Demonstration, |
Topic 5.6 Lecture, Topic 5.6 Demonstration | worksheet20 | lec20-slides | WS20-solution | |||
Wed | Mar 01 | Lecture 21: Atomic variables, Synchronized statements | Module 2: Sections |
5.4, 7 |
.2 |
Topic |
5. |
4 Lecture, Topic |
5. |
4 Demonstration, Topic |
7.2 Lecture | worksheet21 | lec21-slides | Homework 3 | WS21-solution | ||||
Fri | Mar 03 | Lecture 22: Parallel Spanning Tree, other graph algorithms | worksheet22 | lec22-slides | Homework 4 |
Homework 3
WS22-solution | ||
9 | Mon | Mar |
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06 | Lecture 23: |
Java Threads and Locks | Module 2: Sections 7.1, 7.3 | Topic 7.1 Lecture, Topic 7.3 Lecture | worksheet23 | lec23-slides |
WS23-solution | ||
Wed | Mar |
08 | Lecture 24 |
: Java Locks - Soundness and progress guarantees | Module 2: 7.5 | Topic 7.5 Lecture | worksheet24 | lec24-slides |
WS24-solution | ||
Fri | Mar |
10 | Lecture 25: |
Dining Philosophers Problem | Module 2: 7. |
6 | Topic 7. |
6 Lecture | worksheet25 | lec25-slides |
Mon
No class: Spring Break
WS25-solution | ||||
Mon | Mar 13 | No class: Spring Break |
Wed |
Mar 15 | No class: Spring Break | ||||||||
Fri | Mar |
17 | No class: Spring Break |
10 |
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Mon |
Mar 20 | Lecture 26: N-Body problem, applications and implementations |
worksheet26 |
10
Mon
Mar 21
lec26-slides | WS26-solution | |||
Wed | Mar 22 | Lecture 27: Read-Write Locks, Linearizability of Concurrent Objects | Module 2: 7.3, 7. |
4 | Topic 7. |
3 Lecture, Topic 7.4 Lecture |
worksheet27 |
lec27-slides |
Wed
Mar 23
WS27-solution |
Fri | Mar 24 | Lecture 28: Message-Passing programming model with Actors | Module 2: |
6.1, 6.2 | Topic |
6. |
1 Lecture, Topic |
6.1 Demonstration, Topic 6.2 Lecture |
, Topic 6.2 Demonstration | worksheet28 | lec28-slides |
WS28-solution |
Fri
Mar 25
11 | Mon | Mar 27 | Lecture 29: Active Object Pattern. Combining Actors with task parallelism | Module 2: |
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6.3, |
6. |
4 | Topic |
6.3 Lecture, Topic |
6. |
11
Mon
Mar 28
Lecture 29: Task Affinity and locality. Memory hierarchy
3 Demonstration, Topic 6.4 Lecture, Topic 6.4 Demonstration | worksheet29 | lec29-slides |
WS29-solution | ||
Wed | Mar |
29 | Lecture 30: |
Fri
Apr 01
Lecture 31: Scan Pattern. Parallel Prefix Sum, uses and algorithms
Homework 4
12
Mon
Apr 04
Task Affinity and locality. Memory hierarchy | worksheet30 | lec30-slides | Homework 4 | WS30-solution | ||||
Fri | Mar 31 | Lecture 31: 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 |
worksheet31 |
Wed
Apr 06
lec31-slides |
Homework 5 | WS31-solution | ||
12 | Mon | Apr 03 | Lecture 32: Barrier Synchronization with |
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Phasers | Module 1: Section 3.4 | Topic 3.4 |
Lecture, |
Topic 3.4 Demonstration |
worksheet32 |
lec32-slides |
Fri
Apr 08
WS32-solution | |||||
Wed | Apr 05 | Lecture 33: Stencil computation. Point-to-point Synchronization with Phasers | Module 1: Section 4.2, 4.3 | Topic 4.2 Lecture, |
Topic 4.2 Demonstration, Topic 4.3 Lecture, Topic 4. |
3 Demonstration | worksheet33 | lec33-slides | WS33-solution | ||||
Fri | Apr 07 | Lecture 34: Fuzzy Barriers with Phasers | Module 1: Section 4.1 | Topic 4.1 Lecture, Topic 4.1 Demonstration | worksheet34 | lec34-slides |
WS34-solution | ||
13 | Mon | Apr |
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10 | Lecture 35: |
Eureka-style Speculative Task Parallelism | worksheet35 | lec35-slides |
WS35-solution | ||
Wed | Apr |
12 | Lecture 36: |
Scan Pattern. Parallel Prefix Sum | worksheet36 | lec36-slides |
WS36-solution | ||
Fri | Apr |
14 | Lecture 37: |
Parallel Prefix Sum applications | worksheet37 | lec37-slides |
14 | Mon | Apr |
17 | Lecture 38: Overview of other models and frameworks |
lec38-slides |
Wed | Apr |
19 | Lecture 39: Course Review (Lectures 19-38 |
) | lec39-slides |
Homework 5 | ||
Fri | Apr |
21 | Lecture 40: Course Review (Lectures 19-38) |
lec40-slides |
Lab Schedule
Lab # | Date ( |
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2023) | Topic | Handouts | Examples |
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1 | Jan |
09 | Infrastructure setup |
- | Jan 16 | No lab this week (MLK) | ||
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2 | Jan |
23 | Functional Programming |
3
Jan 24
Java Streams
lab2-handout |
3 | Jan |
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30 | Futures |
lab3-handout |
4 | Feb |
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06 | Data-Driven Tasks |
lab4-handout |
5 | Feb |
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13 | Async / Finish |
lab5-handout |
- | Feb |
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20 | No lab this week (Midterm Exam) |
6 | Feb |
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27 | Recursive Task Cutoff Strategy | lab6-handout | ||
7 | Mar 06 | Java Threads | lab7-handout | |
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- | Mar |
13 | No lab this week (Spring Break) |
8 | Mar |
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20 |
Concurrent Lists | lab8-handout | |||
9 | Mar 27 | Actors | lab9-handout | |
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- | Apr |
03 |
TBD | ||
10 | Apr |
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10 |
Loop Parallelism | lab10-handout | |
- | Apr |
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17 | No lab this week |
Grading, Honor Code Policy, Processes and Procedures
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