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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 no required textbooks for the class. Instead, lecture handouts are provided for each module as follows.  You are expected to read the relevant sections in each lecture handout before coming to the lecture.  We will also provide a number of references in the slides and handouts.The links to the latest versions of the lecture handouts are included below:

  • Module 1 handout (Parallelism)
  • Module 2 handout handout (Concurrency)

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:

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Week

Day

Date (2025)

Lecture

Assigned Reading

Assigned Videos (see Canvas site for video links)

In-class Worksheets

Slides

Work Assigned

Work Due

Worksheet Solutions

1

Mon

Jan 13

Lecture 1: Introduction



worksheet1lec1-slides  slides  



WS1-solution


Wed

Jan 15

Lecture 2:  Functional Programming



worksheet2lec02-slides



WS2-solution

FriJan 17Lecture 3: Higher order functions

worksheet3 worksheet3 lec3-slidesslides     



WS3-solution

2

Mon

Jan 20

No class: MLK










Wed

Jan 22

Lecture 4: Lazy Computation



worksheet4lec4-slides

WS4-solution


Fri

Jan 24

Lecture 5: Java Streams



worksheet5lec5-slidesHomework 1
WS5-solution
3MonJan 27

Lecture 6: Map Reduce with Java Streams

Module 1: Section 2.4Topic 2.4 Lecture, Topic 2.4 Demonstration  worksheet6lec6-slides



WS6-solution


Wed

Jan 29

Lecture 7: Futures

Module 1: Section 2.1Topic 2.1 Lecture , Topic 2.1 Demonstrationworksheet7lec7-slides



WS7-solution


Fri

Jan 31

Lecture 8:  Async, Finish, Computation Graphs

Module 1: Sections 1.1, 1.2Topic 1.1 Lecture, Topic 1.1 Demonstration, Topic 1.2 Lecture, Topic 1.2 Demonstrationworksheet8lec8-slides

WS8-solution

4

Mon


Feb 03 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-slides slides 

WS9-solution

WedFeb 05Lecture 10: Event-based programming model




worksheet10lec10-slides
Homework 1WS10-solution

FriFeb 07Lecture 11: GUI programming, Scheduling/executing computation graphs

Module 1: Section 1.4Topic 1.4 Lecture , Topic 1.4 Demonstrationworksheet11lec11-slidesHomework 2
WS11-solution
5

Mon

Feb 10

Lecture 12: Abstract performance metrics, Parallel Speedup, Amdahl's Law Module 1: Section 1.5Topic 1.5 Lecture , Topic 1.5 Demonstrationworksheet12lec12-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

worksheet13lec13-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, 2.6Topic 2.5 Lecture ,  Topic 2.5 Demonstration,  Topic 2.6 Lecture,  Topic 2.6 Demonstrationworksheet14lec14-slides

WS14-solution


Wed

Feb 19

Lecture 15: Limitations of Functional parallelism.
Abstract vs. real performance. Cutoff Strategy



worksheet15lec15-slides



Homework 2WS15-solution

FriFeb 21

Lecture 16: Recursive Task Parallelism  



worksheet16 lec16-slidesHomework 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


Topic 2.7 Lecture, Topic 2.7 Demonstration, Topic 2.8 Lecture, Topic 2.8 Demonstrationworksheet19lec19-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, 3.3Topic 3.1 Lecture, Topic 3.1 Demonstration , Topic 3.2 Lecture,  Topic 3.2 Demonstration, Topic 3.3 Lecture,  Topic 3.3 Demonstrationworksheet20lec20-slides  

WS20-solution


Wed

Mar 05

Lecture 21: Barrier Synchronization with Phasers

Module 1: Sections 3.4 Topic 3.4 Lecture, Topic 3.4 Demonstrationworksheet21   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 Demonstrationworksheet22lec22-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 Demonstrationworksheet23lec23-slides

Homework 3 (CP 1)

WS23-solution


Wed

Mar 12

Lecture 24: Confinement & Monitor Pattern. Critical sections
Global lock

Module 2: Sections 5.1, 5.2Topic 5.1 Lecture, Topic 5.1 Demonstration, Topic 5.2 Lecture, Topic 5.2 Demonstration, Topic 5.6 Lecture, Topic 5.6 Demonstrationworksheet24 lec24-slides


WS24-solution


Fri

Mar 14

 Lecture 25:  Atomic variables, Synchronized statementsModule 2: Sections 5.4, 7.2Topic 5.4 Lecture, Topic 5.4 Demonstration, Topic 7.2 Lecture worksheet25lec25-slides


WS25-solution

Mon

Mar 17

No class: Spring Break


 






WedMar 19No 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, 7.3Topic 7.1 Lecture, Topic 7.3 Lectureworksheet26lec26-slides

WS26-solution


Wed

Mar 26

Lecture 27: Read-Write Locks,  Soundness and progress guarantees

Module 2: Section 7.3Topic 7.3 Lecture, Topic 7.5 Lectureworksheet27lec27-slides


Homework 3 (CP 2)WS27-solution


Fri

Mar 28

Lecture 28: Dining Philosophers Problem


Topic 7.6 Lectureworksheet28lec28-slides




WS28-solution

11

Mon

Mar 31

Lecture 29:  Linearizability of Concurrent Objects

Module 2: Sections 7.4Topic 7.4 Lectureworksheet29lec29-slides



WS29-solution


Wed

Apr 02

Lecture 30:  Parallel Spanning Tree, other graph algorithms

 
worksheet30lec30-slides



WS30-solution


Fri

Apr 04

No class









12

Mon

Apr 07

Lecture 31: Message-Passing programming model with ActorsModule 2: Sections 6.1, 6.2Topic 6.1 Lecture, Topic 6.1 Demonstration,   Topic 6.2 Lecture, Topic 6.2 Demonstrationworksheet31lec31-slides



WS31-solution


Wed

Apr 09

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

worksheet32lec32-slides

Homework 4

Homework 3 (All)WS32-solution


Fri

Apr 11

Lecture 33: Task Affinity and locality. Memory hierarchy

 
worksheet33lec33-slides


WS33-solution

13

Mon

Apr 14

Lecture 34: Eureka-style Speculative Task Parallelism


worksheet34lec34-slides



WS34-solution

WedApr 16Lecture 35: Scan Pattern. Parallel Prefix Sum


worksheet35lec35-slides
Homework 4 (CP 1)WS35-solution

FriApr 18Lecture 36: Scan Pattern. Parallel Prefix Sum cont. 


lec36-slides



14MonApr 21Lecture 37: Parallel Prefix Sum applications

worksheet37lec37-slides

WS37-solution

WedApr 23Lecture 38: Course Review (Lectures 19-34)
 
lec38-slides
Homework 4 (All)


FriApr 25Lecture 39: Course Review (Lectures 19-34)


lec39-slides



...

Lab #

Date (2025)

Topic

Handouts

Examples

1

Jan 13

Infrastructure setup

lab0-handout

lab1-handout


-Jan 20No lab this week (MLK)

2Jan 27Functional Programminglab2-handout

3

Feb 03

Futures

lab3-handout

4Feb 10Data-Driven Taskslab4-handout

-

Feb 17

No lab this week



-Feb 24No lab this week (Midterm Exam)

5

Mar 03

Loop Parallelism 

lab5-handoutimage kernels
6Mar 10Recursive Task Cutoff Strategylab6-handout
-Mar 17No lab this week (Spring Break)

7Mar 24Java Threadslab7-handout
-Mar 31No lab this week

8Apr 07Concurrent Listslab8-handout
9

Apr 14

Actors

lab9-handout

-

Apr 21

No lab this week



Grading, Honor Code Policy, Processes and Procedures

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