edX site | Autograder Guide |
COMP 322: Fundamentals of Parallel Programming (Spring
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2023)
Instructor: | Mackale Joyner, DH 2063 |
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Zoran Budimlić, DH 3003
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) |
Tue 4: |
00pm - |
4: |
50pm ( |
Tina, |
Delaney, |
Chase, |
Hung, |
Jerry, |
Kailin, |
Jasmine) |
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 |
Lecture 2: Functional Programming
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 |
futures/callbacks in GUI programming
Mon
Feb 07
Wed | Feb 01 | Lecture 10: Event-based programming model | worksheet10 | lec10-slides | Homework 1 | WS10-solution | |||||
Fri | Feb 03 | Lecture 11: GUI programming, |
Scheduling/executing computation graphs |
Abstract performance metrics
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 |
Fri
Feb 11
Mon
Feb 14
: Accumulation and reduction. Finish accumulators | Module 1: Section 2.3 | Topic 2.3 Lecture Topic 2.3 Demonstration |
worksheet13 | lec13 |
Wed
Lecture 15: Recursive Task Parallelism
-slides |
WS13-solution |
Fri | Feb 10 | No class: Spring Recess | |||||||||
6 | Mon | Feb 13 | 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 15 | Lecture 15: Limitations of Functional parallelism. | worksheet15 | lec15-slides |
Homework 2 |
7
WS15-solution |
Fri | Feb |
17 | Lecture |
16: Recursive Task 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: |
Abstract vs. real performance. Cutoff Strategy
Midterm Review | lec18-slides |
Fri | Feb |
24 | Lecture 19: |
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 |
worksheet19 | lec19-slides |
WS19-solution |
8 | Mon | Feb |
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27 | Lecture 20: |
Global lock
Barrier Synchronization with Phasers | Module |
1: Sections |
3.4 | Topic |
3. |
4 Lecture, Topic |
3. |
4 Demonstration | worksheet20 | lec20-slides |
WS20-solution |
Wed | Mar |
01 | Lecture 21: |
Module 2: Sections 5.4, 7.2
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 | worksheet21 | lec21-slides |
WS21-solution | ||||
Fri |
Mar 03 | Lecture 22: Fuzzy Barriers with Phasers | Module 1: Section 4.1 | Topic 4.1 Lecture, Topic 4.1 Demonstration |
Fri
Mar 04
Lecture 22: Parallel Spanning Tree, other graph algorithms
worksheet22 | lec22-slides |
Homework 3
WS22-solution |
9 | Mon | Mar |
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06 | Lecture 23: |
Fork/Join programming model. OS Threads. Scheduler Pattern | Topic 2.7 Lecture, Topic 2.7 Demonstration, Topic 2.8 Lecture, Topic 2.8 Demonstration | worksheet23 | lec23-slides |
Homework 3 (CP 1) | WS23-solution |
Wed | Mar |
08 | 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 |
10 | 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 |
13 | No class: Spring Break |
Wed |
Mar |
15 | No class: Spring Break |
Fri |
Mar 17 | No class: Spring Break |
10 | Mon | Mar |
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20 | Lecture 26: |
Parallel Spanning Tree, other graph algorithms | worksheet26 | lec26-slides |
WS26-solution |
Wed | Mar |
22 | Lecture 27: |
Java Threads and Locks | Module 2: Sections 7. |
1, 7. |
3 | Topic 7. |
1 Lecture, Topic 7. |
3 Lecture | worksheet27 | lec27-slides |
Homework 3 (CP 2) | WS27-solution |
Fri | Mar |
24 | Lecture 28: |
Java Locks - Soundness and progress guarantees | Module 2: |
Section 7.5 | Topic 7.5 Lecture |
worksheet28 | lec28-slides |
WS28-solution |
11 | Mon | Mar |
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27 | Lecture 29: |
Dining Philosophers Problem | Module 2: |
Section 7. |
6 |
Topic |
7. |
6 |
Lecture |
worksheet29 | lec29-slides |
WS29-solution |
Wed | Mar |
29 | Lecture 30: Task Affinity and locality. Memory hierarchy |
| worksheet30 | lec30-slides |
WS30-solution | |
Fri |
Mar 31 | Lecture 31: |
Read-Write Locks, Linearizability of Concurrent Objects | Module 2: Sections 7.3, 7.4 | Topic 7.3 Lecture, Topic 7.4 Lecture | worksheet31 | lec31-slides | Homework |
4 |
WS31-solution | ||
12 | Mon | Apr |
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03 | Lecture 32: |
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 | worksheet32 | lec32-slides |
Homework 3 (All) | WS32-solution |
Wed | Apr |
05 | Lecture 33: |
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 | worksheet33 | lec33-slides |
WS33-solution | ||
Fri | Apr |
07 | Lecture 34: |
N-Body problem, applications and implementations | 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 4 |
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 | 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 27 | Loop Parallelism | lab6-handout | image kernels |
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7 |
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Mar 06 | Recursive Task Cutoff Strategy | lab7-handout |
- | Mar |
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13 | No lab this week (Spring Break) |
- | Mar |
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20 | No lab this week |
8 | Mar 27 | Java Threads | lab8-handout |
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9 |
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Apr 03 | Concurrent Lists | lab9-handout |
10 | Apr 10 |
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Actors | lab10-handout |
- | Apr |
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17 | No lab this week |
-
Apr 11
-
Apr 18
Grading, Honor Code Policy, Processes and Procedures
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