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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 (2023)

Lecture

Assigned Reading

Assigned Videos (see Canvas site for video links)

In-class Worksheets

Slides

Work Assigned

Work Due

Worksheet Solutions

1

Mon

Jan 09

Lecture 1: Introduction



worksheet1lec1-slides  



WS1-solution


Wed

Jan 11

Lecture 2:  Functional Programming



worksheet2lec02-slides



WS2-solution

FriJan 13Lecture 3: Higher order functions

worksheet3 lec3-slides   



WS3-solution

2

Mon

Jan 16

No class: MLK










Wed

Jan 18

Lecture 4: Lazy Computation



worksheet4lec4-slides

WS4-solution


Fri

Jan 20

Lecture 5: Java Streams



worksheet5lec5-slidesHomework 1
WS5-solution
3MonJan 23

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 25

Lecture 7: Futures

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



WS7-solution


Fri

Jan 27

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


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

worksheet9

lec9-slides 

WS9-solution

WedFeb 01Lecture 10: Event-based programming model




worksheet10lec10-slides
Homework 1WS10-solution

FriFeb 03Lecture 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 06

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 08

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 10

No class: Spring Recess










6

Mon

Feb 13

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 15

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



worksheet15lec15-slides



Homework 2WS15-solution

FriFeb 17

Lecture 16: Recursive Task Parallelism  



worksheet16 lec16-slidesHomework 3
WS16-solution

7

Mon

Feb 20

Lecture 17: Midterm Review




lec17-slides




Wed

Feb 22

Lecture 18: 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, 3.3Topic 3.1 Lecture, Topic 3.1 Demonstration , Topic 3.2 Lecture,  Topic 3.2 Demonstration, Topic 3.3 Lecture,  Topic 3.3 Demonstrationworksheet19lec19-slides

WS19-solution

8

Mon

Feb 27

Lecture 20: Barrier Synchronization with Phasers

Module 1: Sections 3.4 Topic 3.4 Lecture, Topic 3.4 Demonstrationworksheet20lec20-slides      

WS20-solution


Wed

Mar 01

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 Demonstrationworksheet21lec21-slides

WS21-solution


Fri

Mar 03

Lecture 22: Fuzzy Barriers with Phasers

Module 1: Section 4.1 Topic 4.1 Lecture, Topic 4.1 Demonstrationworksheet22lec22-slides


WS22-solution

9

Mon

Mar 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
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 10

 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 13

No class: Spring Break


 






WedMar 15No class: Spring Break








Fri

Mar 17

No class: Spring Break









10

Mon

Mar 20

Lecture 26: Parallel Spanning Tree, other graph algorithms



worksheet26lec26-slides

WS26-solution


Wed

Mar 22

Lecture 27: Java Threads and Locks

Module 2: Sections 7.1, 7.3Topic 7.1 Lecture, Topic 7.3 Lectureworksheet27lec27-slides


Homework 3 (CP 2)WS27-solution


Fri

Mar 24

Lecture 28: Java Locks - Soundness and progress guarantees

Module 2: Section 7.5Topic 7.5 Lectureworksheet28lec28-slides




WS28-solution

11

Mon

Mar 27

Lecture 29:  Dining Philosophers Problem

Module 2: Section 7.6Topic 7.6 Lectureworksheet29lec29-slides



WS29-solution


Wed

Mar 29

Lecture 30: Read-Write Locks, Linearizability of Concurrent Objects

Module 2: Sections 7.3, 7.4Topic 7.3 Lecture, Topic 7.4 Lectureworksheet30lec30-slides



WS30-solution


Fri

Mar 31

Lecture 31: Message-Passing programming model with Actors

Module 2: Sections 6.1, 6.2Topic 6.1 Lecture, Topic 6.1 Demonstration,   Topic 6.2 Lecture, Topic 6.2 Demonstrationworksheet31lec31-slides


WS31-solution

12

Mon

Apr 03

No class



Homework 4

Homework 3 (All)




Wed

Apr 05

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



WS32-solution


Fri

Apr 07

Lecture 33: Task Affinity and locality. Memory hierarchy

 
worksheet33lec33-slides


WS33-solution

13

Mon

Apr 10

Lecture 34: Eureka-style Speculative Task Parallelism


worksheet34lec34-slides



WS34-solution

WedApr 12Lecture 35: Scan Pattern. Parallel Prefix Sum


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

FriApr 14Lecture 36: Parallel Prefix Sum applications

worksheet36lec36-slides

WS36-solution
14MonApr 17Lecture 37: Overview of other models and frameworks


lec37-slides




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


FriApr 21Lecture 39: Course Review (Lectures 19-34)


lec39-slides




Lab Schedule

Lab #

Date (2023)

Topic

Handouts

Examples

1

Jan 09

Infrastructure setup

lab0-handout

lab1-handout


-Jan 16No lab this week (MLK)

2Jan 23Functional Programminglab2-handout

3

Jan 30

Futures

lab3-handout

4Feb 06Data-Driven Taskslab4-handout

5

Feb 13

Async / Finish

lab5-handout
-Feb 20No lab this week (Midterm Exam)

6

Feb 27

Loop Parallelism 

lab6-handoutimage kernels
7Mar 06Recursive Task Cutoff Strategylab7-handout
-Mar 13No lab this week (Spring Break)

-Mar 20No lab this week

8Mar 27Java Threadslab8-handout
9Apr 03Concurrent Listslab9-handout
10

Apr 10

Actors

lab10-handout

-

Apr 17

No lab this week



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