COMP 322: Fundamentals of Parallel Programming (Spring
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2023)
Instructor: | Mackale Joyner, DH 2063 | TAs: | Elian Ahmar, Timothy Goh, Kelly Park, Tucker Reinhardt, Mantej Singh, Minh Vu, Thanh Vu, Robert Walsh, Frederick Wang, Xincheng Wang, Yidi Wang | |
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| Admin Assistant: | Annepha Hurlock, annepha@rice.edu, DH 3122, 713-348-5186 |
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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: | Piazza site: | https://piazza.com/rice/spring2021spring2022/comp322 (Piazza is the preferred medium for all course communications) | Cross-listing: | ELEC 323 |
Lecture location: | Fully OnlineTBD | Lecture times: | MWF 1:30pm 00pm - 21:25pm50pm | |
Lab locations: | Fully OnlineTBD | Lab times: | Tu 1Mon 3:30pm 00pm - 23:25pm (TV, MS, TG, RW50pm () Th Tue 4:50pm 00pm - 54:45pm (XW, TR, KP, YW, FW, EA)50pm () |
Course 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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The desired learning outcomes fall into three major areas (course modules):
1) Parallelism: functional programming, Java streams, creation and coordination of parallelism (async, finish), abstract performance metrics (work, critical paths), Amdahl's Law, weak vs. strong scaling, data races and determinism, data race avoidance (immutability, futures, accumulators, dataflow), deadlock avoidance, abstract vs. real performance (granularity, scalability), collective & point-to-point synchronization (phasers, barriers), parallel algorithms, systolic algorithms.
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3) Locality & Distribution: memory hierarchies, locality, cache affinity, data movement, message-passing (MPI), communication overheads (bandwidth, latency), MapReduce, accelerators, GPGPUs, CUDA, OpenCL.
To achieve these learning outcomes, each class period will include time for both instructor lectures and in-class exercises based on assigned reading and videos. The lab exercises will be used to help students gain hands-on programming experience with the concepts introduced in the lectures.
To ensure that students gain a strong knowledge of parallel programming foundations, the classes and homeworks homework will place equal emphasis on both theory and practice. The programming component of the course will mostly use the Habanero-Java Library (HJ-lib) pedagogic extension to the Java language developed in the Habanero Extreme Scale Software Research project at Rice University. The course will also introduce you to real-world parallel programming models including Java Concurrency, MapReduce, MPI, OpenCL and CUDA. An important goal is that, at the end of COMP 322, you should feel comfortable programming in any parallel language for which you are familiar with the underlying sequential language (Java or C). Any parallel programming primitives that you encounter in the future should be easily recognizable based on the fundamentals studied in COMP 322.
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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 (Concurrency)
There
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There are also a few optional textbooks that 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
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Finally, here are some additional resources that may be helpful for you:
- Slides titled "MPI-based Approaches for Java" by Bryan Carpenter
Lecture Schedule
Week | Day | Date (20212022) | 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 2509 | Lecture 1: Task Creation and Termination (Async, Finish) | Module 1: Section 1.1 | Introduction | Topic 1.1 Lecture, Topic 1.1 Demonstration | worksheet1 | lec1-slidesslides |
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| WS1-solution | ||||||||
| Wed | Jan 2711 | Lecture 2: Computation Graphs, Ideal Parallelism | Module 1: Sections 1.2, 1.3 | Topic 1.2 Lecture, Topic 1.2 Demonstration, Topic 1.3 Lecture, Topic 1.3 Demonstration | worksheet2 | lec2-slides |
| Functional Programming | GList.java | worksheet2 | lec02-slides |
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| WS2-solution | ||||
| Fri | Jan 2913 | Lecture 3: Abstract Performance Metrics, Multiprocessor Scheduling | Module 1: Section 1.4 | Topic 1.4 Lecture, Topic 1.4 Demonstration | worksheet3 | Higher order functions | worksheet3 | lec3-slides lec3-slides |
| WS3-solution | |||||||||
2 | Mon | Feb 01 | Lecture 4: Parallel Speedup and Amdahl's Law | Module 1: Section 1.5 | Topic 1.5 Lecture, Topic 1.5 Demonstration | worksheet4 | lec4-slides | Jan 16 | No class: MLK | Quiz for Unit 1 | |||||||||
| WedFeb | 03Jan 18 | Lecture 5: Future Tasks, Functional Parallelism ("Back to the Future") | Module 1: Section 2.1 | Topic 2.1 Lecture, Topic 2.1 Demonstration | worksheet5 | 4: Lazy Computation | LazyList.java Lazy.java | worksheet4 | lec4lec5-slides | WS4-solution | ||||||||
| FriFeb | 05Jan 20 | Lecture 65: Finish Accumulators | Module 1: Section 2.3 | Topic 2.3 Lecture, Topic 2.3 Demonstration | worksheet6 | lec6-slides | Quiz for Unit 1 | Java Streams | worksheet5 | lec5-slides | Homework 1 | WS5-solution | ||||||
| 3 | MonFeb | 08Jan 23 | Lecture 76: Map Reduce with Java Streams | Module 1: Section 2.4 | Topic 2.4 Lecture, Topic 2.4 Demonstration | worksheet7worksheet6 | lec7lec6-slides |
| WS6-solution | ||||||||||
| WedFeb | 10Jan 25 | Lecture 8: Data Races, Functional & Structural Determinism7: Futures | Module 1: Section 2.5, 2.61 | Topic 2.5 1 Lecture , Topic 2.5 Demonstration, Topic 2.6 Lecture, Topic 2.6 Demonstration | worksheet8 | 1 Demonstration | worksheet7 | lec7lec8-slides | Homework 1 | WS7-solution | ||||||||
| FriFeb | 12Jan 27 | Lecture 9: Java’s Fork/Join Library | Topic 2.7 Lecture, Topic 2.7 Demonstration, Topic 2.8 Lecture, Topic 2.8 Demonstration | worksheet9 | lec9-slides | Quiz for Unit 2 | 8: Computation Graphs, Ideal Parallelism | Module 1: Sections 1.2, 1.3 | Topic 1.2 Lecture, Topic 1.2 Demonstration, Topic 1.3 Lecture, Topic 1.3 Demonstration | worksheet8 | lec8-slides | WS8-solution | ||||||
4 | Mon
| Feb 15 | No class (weather) | Jan 30 | Lecture 9: Async, Finish, Data-Driven Tasks | Module 1: Section 1.1, 4.5
| Topic 1.1 Lecture, Topic 1.1 Demonstration, Topic 4.5 Lecture, Topic 4.5 Demonstration | worksheet9 | lec9-slides | WS9-solution | |||||||||
| Wed | Feb 17Spring "Sprinkle" Day (no class)01 | Lecture 10: Event-based programming model
| worksheet10 | lec10-slides | Homework 1 | WS10-solution | |||||||||||||
| Fri | Feb 19No class (weather)03 | Lecture 11: GUI programming as an example of event-based, futures/callbacks in GUI programming | worksheet11 | lec11-slides | Homework 2 | WS11-solution | |||||||||||||
| 5 | Mon | Feb 2206 | Lecture 10: Loop-Level Parallelism, Parallel Matrix Multiplication12: Scheduling/executing computation graphs Abstract performance metrics | Module 1: Sections 3.Section 1, 3.24 | Topic 31.1 4 Lecture , Topic 3. 1 Demonstration , Topic 3.2 Lecture, Topic 3.2 .4 Demonstration | worksheet10worksheet12 | lec10lec12-slides | WS12-solution | |||||||||||
| Wed | Feb 2408 | Lecture 11: Iteration Grouping (Chunking), Barrier Synchronization 13: Parallel Speedup, Critical Path, Amdahl's Law | Module 1: Sections 3.3, 3.4Section 1.5 | Topic 31.3 5 Lecture , Topic 31.3 Demonstration, Topic 3.4 Lecture , Topic 3.4 Demonstration | worksheet11 | 5 Demonstration | worksheet13 | lec13lec11-slides | WS13-solution | |||||||||
| Fri | Feb 2610 | Lecture 12: Parallelism in Java Streams, Parallel Prefix Sums | Module 1: Section 3.7 | Topic Topic 3.7 Java Streams, Topic 3.7 Java Streams Demonstration | worksheet12 | lec12-slides | Quiz for Unit 2 | No class: Spring Recess
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| 6 | Mon | Mar 01 | Spring "Sprinkle" Day (no class) | Feb 13 | Lecture 14: Accumulation and reduction. Finish accumulators | Module 1: Section 2.3 | Topic 2.3 Lecture Topic 2.3 Demonstration | worksheet14 | lec14-slides | WS14-solution | |||||||||
| Wed Mar | 03Feb 15 | Lecture 13: Iterative Averaging Revisited, SPMD pattern15: Recursive Task Parallelism | worksheet15 | lec15-slides |
| WS15-solution | ||||||||||||
| Fri | Feb 17 | Lecture 16: Data Races, Functional & Structural Determinism | Module 1: Sections 32.5, 32.6 | Topic | 32.5 Lecture , Topic | 32.5 Demonstration, Topic | 32.6 Lecture, Topic | 32.6 Demonstration | worksheet13worksheet16 | lec13lec16-slides | Homework 3 | (includes one intermediate checkpoint)Homework 2 | WS16-solution | ||||||
7 | FriMon | Mar 05Feb 20 | Lecture | 1417: | Data-Driven Tasks
| Midterm Review | lec17 | Module 1: Sections 4.5 | Topic 4.5 Lecture Topic 4.5 Demonstration | worksheet14 | lec14-slides | ||||||||
7 | MonWed | Mar 08Feb 22 | Lecture 15: 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 | worksheet15 | 18: Limitations of Functional parallelism. | worksheet18 | lec18lec15-slides | WS18-solution | |||||||||
| WedFriMar 10 | Feb 24 | Lecture 16: Pipeline Parallelism, Signal Statement, Fuzzy Barriers | Module 1: Sections 4.4, 4.1 | Topic 4.4 Lecture , Topic 4.4 Demonstration, Topic 4.1 Lecture, Topic 4.1 Demonstration | worksheet16 | 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 | lec19lec16-slides | WS19-solution |
| Fri | Mar 12 | |||||
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 | Lecture 17: Abstract vs. Real Performanceworksheet17 | lec17-slides | Quiz for Unit 4 | Quiz for Unit 3WS21-solution | ||||||||
8 | Fri | Mon | Mar 1503 | Lecture 18: Midterm Review22: Parallel Spanning Tree, other graph algorithms | worksheet22 | lec18lec22-slides | Homework 4 | Homework 3 | WS22-solution | ||||||||||
9 | WedMon | Mar 1706 | Lecture 19: Critical Sections, Isolated construct (start of Module 2)23: Java Threads and Locks | Module 2: Sections 57.1, 5.2, 5.6, 7.3 | Topic 57.1 Lecture, Topic 5.1 Demonstration, Topic 5.2 Lecture, Topic 5.2 Demonstration, Topic 5.6 Lecture, Topic 5.6 Demonstration | worksheet19 | 7.3 Lecture | worksheet23 | lec23lec19-slides |
| WS23-solution | ||||||||
| FriWed | Mar 1908 | Lecture 20: Parallel Spanning Tree algorithm, Atomic variables 24: Java Locks - Soundness and progress guarantees | Module 2: Sections 5.3, 5.4, 5.57.5 | Topic 57.3 Demonstration, Topic 5 .4 Lecture , Topic 5.4 Demonstration, Topic 5.5 Lecture, Topic 5.5 Demonstration | worksheet20 | worksheet24 | lec24lec20-slides | Quiz for Unit 4 |
| WS24-solution | ||||||||
| 9 | MonFri | Mar 2210Lecture 21: Actors | Lecture 25: Dining Philosophers Problem | Module 2: 67.1, 6.2 | Topic 67.1 Lecture , Topic 6 .1 Demonstration , Topic 6.2 Lecture, Topic 6.2 Demonstration | worksheet21 | worksheet25 | lec25lec21-slides | Quiz for Unit 5 |
| WS25-solution | |||||||
Mon | Wed | Mar | 2413 | Lecture 22: Actors (contd) | Module 2: 6.3, 6.4, 6.5 | Topic 6.3 Lecture, Topic 6.3 Demonstration, Topic 6.4 Lecture , Topic 6.4 Demonstration, Topic 6.5 Lecture, Topic 6.5 Demonstration | worksheet22 | lec22-slides | Homework 3, Checkpoint-1 | No class: Spring Break |
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| Fri | Wed | Mar | 2615 | Spring "Sprinkle" Day (no class)No class: Spring Break |
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| Fri | Mar 17 | No class: Spring Break |
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10 | Mon | Mar 20 | Lecture 26: N-Body problem, applications and implementations | worksheet26 | lec26 | Mar 29 | Lecture 23: Actors (contd) | Module 2: 6.6 | Topic 6.6 Lecture, Topic 6.6 Demonstration | lec23-slides | Quiz for Unit 5 | WS26-solution | |||||||
| Wed | Mar | 3122 | Lecture | 24: Java Threads, Java synchronized statement27: Read-Write Locks, Linearizability of Concurrent Objects | Module 2: 7.13, 7.24 | Topic 7. | 13 Lecture, Topic 7. | 24 Lecture | worksheet27 | lec24lec27-slides Quiz for Unit 6 |
| WS27-solution | ||||||
| Fri | Apr 02Mar 24 | Lecture | 25: Java Threads, Java synchronized statement (contd), wait/notify28: Message-Passing programming model with Actors | Module 2: 76.1, 76.2 | Topic | 76.1 Lecture, Topic | 76.1 Demonstration, Topic 6.2 Lecture | lec25 | , Topic 6.2 Demonstration | worksheet28 | lec28-slides |
| Homework 3 (all)
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11 | Mon | Apr 05 | Lecture 26: Java Threads (exercise) | Mar 27 | Lecture 29: Active Object Pattern. Combining Actors with task parallelism | Module 2: 6.3, 6.4 | Topic 6.3 Lecture, Topic 6.3 Demonstration, Topic 6.4 Lecture, Topic 6.4 Demonstration | worksheet29 | lec29-slideslec26-handout |
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| WedApr 07 | Mar 29 | Lecture 27: Java Locks | Module 2: 7.3 | Topic 7.3 Lecture | 30: Task Affinity and locality. Memory hierarchy | worksheet30 | lec30lec27-slides |
| WS30-solution | |||||||||
| Fri | Apr 09Mar 31 | Lecture | 28: Linearizability of Concurrent Objects31: 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 | lec31-slides | Homework 5 | Homework 4 | WS31-solution | Module 2: 7.4 | Topic 7.4 Lecture | lec28-slides | Homework 4 (includes one intermediate checkpoint) |
Quiz for Unit 6 | |||
12 | Mon | Apr 1203 | Lecture 30: Safety and Liveness Properties, Java Synchronizers, Dining Philosophers Problem | Module 2: 7.5, 7.6 | Topic 7.5 Lecture, Topic 7.6 Lecture | lec30-slides | Quiz for Unit 732: Barrier Synchronization with Phasers | Module 1: Section 3.4 | Topic 3.4 Lecture, Topic 3.4 Demonstration | worksheet32 | lec32-slides |
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| Wed | Apr 1405 | Lecture 31: Message Passing Interface (MPI), (start of Module 3) | Topic 8.1 Lecture, Topic 8.2 Lecture, Topic 8.3 Lecture | lec31 | 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 1607 | Lecture 32: Message Passing Interface (MPI, contd) | Topic 8.4 Lecture | 34: Fuzzy Barriers with Phasers | Module 1: Section 4.1 | Topic 4.1 Lecture, Topic 4.1 Demonstration | worksheet34 | lec34lec32-slides | Quiz for Unit 7 |
| WS34-solution | |||||||
13 | Mon | Apr 19 | Lecture 33: Message Passing Interface (MPI, contd) | Topic 8.5 Lecture, Topic 8 Demonstration Video | lec33-slides |
| Apr 10 | Lecture 35: Eureka-style Speculative Task Parallelism |
| worksheet35 | lec35-slides |
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| WS35-solutionHomework 4 Checkpoint-1 | |||||
| Wed | Apr | 2112 | Lecture | 34: Task Affinity with Places36: Scan Pattern. Parallel Prefix Sum |
| worksheet36 | lec34lec36-slides | Quiz for Unit 8WS36-solution | ||||||||||
| Fri | Apr | 2314 | Lecture | 35: Eureka-style Speculative Task Parallelism37: Parallel Prefix Sum applications | worksheet37 | lec35lec37-slides | |||||||||||||
| 14 | Mon | Apr | 2617 | Lecture | 36: Algorithms based on Parallel Prefix (Scan) operations38: Overview of other models and frameworks | lec36lec38-slides | |||||||||||||
| Wed | Apr 2819 | Lecture 3739: Course Review (Lectures 19-3438) | lec37lec39-slides | Homework 4 (all) | |||||||||||||||
| Fri | Apr 30TBD21 | Lecture 40: Course Review (Lectures 19-38) | lec40-slides | Quiz for Unit 8 | Homework 5 |
Lab Schedule
Lab # | Date (20212023) | Topic | Handouts | Examples | 0||||||||
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1 | Jan 09 | Infrastructure | Setupsetup | lab0-handout | 1 | Jan 26 | Async-Finish Parallel Programming with abstract metrics lab1-handout | |||||
| - | Feb 02Jan 16 | No lab this week (MLK) | ||||||||||
| 2 | Feb 09 | FuturesJan 23 | Functional Programming | lab2- | handout- | Feb 16 | No lab this week (classes cancelled)handout | |||||
3 | Feb 23 | Jan 30 | Java Streams Cutoff Strategy and Real World Performance | lab3-handout | ||||||||
| 4 | Mar 02Feb 06 | DDFsFutures | lab4-handout | |||||||||
5 | Feb 13 | Data-Driven Tasks | lab5-handout-handout | |||||||||
| - | Mar 09Feb 20 | No lab this week (Midterm exam) | ||||||||||
| 6 | Mar 16 | No lab this week (Spring "Sprinkle" Day) | Feb 27 | Async / Finish | lab6-handout | |||||||
| 57 | Mar 23 | Loop-level Parallelism | lab5-handout | lab5-intro | - |
| Isolated Statement and Atomic Variables | 06 | Recursive Task Cutoff Strategy | lab7-handout | ||
| - | Mar 13 | No lab this week (Spring Break)Actors | ||||||||||
| 8 | Mar 20 | Java Threads, Java Locks | - | lab8-handout | Message Passing Interface (MPI) | |||||||
| 9 | Mar 27 | Concurrent Lists | lab9-handout | -|||||||||
| 10 | Apr 03 | Actors | lab10-handout | |||||||||
| 11 | Apr 10 | Loop Parallelism | lab11-handout | Eureka-style Speculative Task Parallelism | ||||||||
- | Java's ForkJoin Framework | Apr 17 | No lab this week |
Grading, Honor Code Policy, Processes and Procedures
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Labs must be submitted by the following Monday Wednesday at 114:59pm30pm. Labs must be checked off by a TA.
Worksheets should be completed by the deadline listed in Canvas before the start of the following class (for full credit) so that solutions to the worksheets can be discussed in the next class.
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