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 ( |
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SB, HA, |
AO) |
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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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
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Week | 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 | Worksheet Solutions |
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1 | Mon | Jan |
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08 | Lecture 1: Introduction |
worksheet1 | lec1- |
slides | WS1-solution |
Wed | Jan |
10 | Lecture 2: Functional Programming |
worksheet2 | lec02-slides |
WS2-solution |
Fri | Jan |
12 | Lecture 3: Higher order functions |
worksheet3 |
lec3- |
slides |
WS3-solution |
2 | Mon | Jan |
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15 | No class: MLK |
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 | Module 1: Section 2.4 | Topic 2.4 Lecture, Topic 2.4 Demonstration | worksheet6 | lec6-slides |
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 | Mon |
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Jan |
29 | 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 |
Jan 31 | Lecture 10: Event-based programming model |
worksheet10 | lec10-slides |
Homework 1 | WS10-solution |
Fri | Feb |
02 | 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 |
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 |
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19 | Lecture 17: Midterm Review |
lec17-slides |
Wed | Feb |
21 | Lecture 18: |
Abstract vs. real performance. Cutoff Strategy
Midterm Review |
lec18-slides |
Fri | Feb |
23 | 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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26 | 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 |
Feb 28 | Lecture 21: |
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 |
Module 2: Sections 5.4, 7.2
worksheet21 | lec21-slides |
WS21-solution |
Fri | Mar |
01 | Lecture 22: |
Fuzzy Barriers with Phasers | Module 1: Section 4.1 | Topic 4.1 Lecture, Topic 4.1 Demonstration |
worksheet22 | lec22-slides |
WS22-solution |
9 | Mon | Mar |
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04 | 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 |
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
10 | Mon | Mar |
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18 | Lecture 26: |
Parallel Spanning Tree, other graph algorithms |
worksheet26 | lec26-slides |
WS26-solution |
Wed | Mar |
20 | 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 |
22 | 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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25 | Lecture 29: |
Dining Philosophers Problem | Module 2: |
Section 7. |
6 |
Topic 7.6 Lecture | worksheet29 | lec29-slides | WS29-solution | ||||||||
Wed | Mar 27 | Lecture 30: Read-Write Locks, Linearizability of Concurrent Objects | Module 2: Sections 7.3, 7.4 | Topic 7.3 Lecture, Topic 7.4 Lecture | 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 |
Wed
Mar 30
Lecture 30: Task Affinity and locality. Memory hierarchy
Fri
Apr 01
Lecture 31: Data-Parallel Programming model. Loop-Level Parallelism, Loop Chunking
Homework 4
12
Mon
Apr 04
Wed
Apr 06
Lecture 33: Stencil computation. Point-to-point Synchronization with Phasers
Topic 4.2 Lecture, Topic 4.2 Demonstration, Topic 4.3 Lecture, Topic 4.3 Demonstration
Fri
Apr 08
Lecture 34: Fuzzy Barriers with Phasers
13
Mon
Apr 11
: Eureka-style Speculative Task Parallelism |
worksheet34 |
lec34-slides |
WS34-solution |
13 |
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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 |
Lab Schedule
Lab # | Date ( |
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2023) | Topic | Handouts | Examples |
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1 | Jan |
08 | Infrastructure setup |
- | Jan 15 | No lab this week (MLK) | ||
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2 | Jan |
22 | Functional Programming | lab2-handout |
3 | Jan |
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29 |
Futures | lab3-handout |
4 |
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5
Feb 05 | Data-Driven Tasks |
lab4-handout |
- | Feb |
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12 | No lab this week |
Async / Finish
- | Feb |
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19 | No lab this week (Midterm Exam) |
5 | Feb |
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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 |
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7 |
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Mar |
18 |
Java Threads |
lab7-handout |
8 | Mar |
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25 |
Concurrent Lists |
lab8-handout |
9 | Apr |
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01 |
Actors |
lab9-handout |
- | Apr |
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08 | No lab this week |
(Solar Eclipse) | ||
- | Apr |
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15 | No lab this week |
Grading, Honor Code Policy, Processes and Procedures
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Labs must be submitted by the following Wednesday Monday at 4:30pm3pm. Labs must be checked off by a TA.
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