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 |
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| 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 1903 | Lecture 10: Loop-Level Parallelism, Parallel Matrix Multiplication | Module 1: Sections 3.1, 3.2 | Topic 3.1 Lecture , Topic 3.1 Demonstration , Topic 3.2 Lecture, Topic 3.2 Demonstration | worksheet10 | lec10-slides | Quiz for Unit 2 | 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 | 11: Iteration Grouping (Chunking), Barrier Synchronization12: Scheduling/executing computation graphs Abstract performance metrics | Module 1: Sections 3.3, 3Section 1.4 | Topic | 3.3 Lecture , Topic 3.3 Demonstration, Topic 3.1.4 Lecture | , | Topic | 31.4 Demonstration | worksheet11worksheet12 | lec11lec12-slides | WS12-solution | |||||||||||
| Wed | Feb 2408 | Lecture 12: Parallelism in Java Streams, Parallel Prefix Sums 13: Parallel Speedup, Critical Path, Amdahl's Law | Module 1: Section 31.75 | Topic Topic 3.7 Java Streams1.5 Lecture , Topic 31. 7 Java Streams5 Demonstration | worksheet12worksheet13 | lec12lec13-slides | WS13-solution | |||||||||||||||||
| Fri | Feb | 2610 | Lecture 13: Iterative Averaging Revisited, SPMD pattern | Module 1: Sections 3.5, 3.6 | Topic 3.5 Lecture , Topic 3.5 Demonstration , Topic 3.6 Lecture, Topic 3.6 Demonstration | worksheet13 | lec13-slides | Homework 3 (includes one intermediate checkpoint) Quiz for Unit 3 | Homework 2 | No class: Spring Recess
| 6 | Mon | Mar 01 | Spring "Sprinkle" Day (no class) | ||||||||||
| 6 | Mon | Feb 13 | Wed | Mar 03 | Lecture 14: Data-Driven TasksAccumulation and reduction. Finish accumulators | Module 1: Sections 4Section 2.53 | Topic 42.5 3 Lecture Topic 42.5 3 Demonstration | worksheet14 | lec14-slides | WS14-solution | |||||||||||||||
| FriWedMar 05 | Feb 15 | Lecture 15: Recursive Task Parallelism 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 | lec15-slides | Quiz for Unit 3 | worksheet15 | lec15-slides |
| WS15-solution | |||||||||||||
| Fri | Feb 17 | Lecture 16: 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 | worksheet16 | lec16-slides | Homework 3 | Homework 2 | WS16-solution | ||||||||||||||||
7 | MonMar | 08Feb 20 | 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 | lec16-slides | 17: Midterm Review | lec17-slides | Quiz for Unit 4 | |||||||||||||||
| WedMar | 10Feb 22 | Lecture 17: Midterm Review18: Limitations of Functional parallelism. | worksheet18 | lec17lec18-slides | WS18-solution | |||||||||||||||||||
| FriMar 12 | Feb 24 | Lecture 18: Abstract vs. Real Performance | worksheet18 | 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 | lec19-slideslec18-slides | WS19-solution | ||||||||||||||||
8 | MonMar 15 | Feb 27 | Lecture 1920: Critical Sections, Isolated construct (start of Module 2) 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 | worksheet19worksheet20 | lec19lec20-slides | WS20-solution | |||||||||||||||||
| Wed | Mar 1701 | Lecture 20: Parallel Spanning Tree algorithm, 21: Atomic variables, Synchronized statements | Module 2: Sections 5. 3, 5.4, 57. 52 | Topic 5.3 Demonstration, Topic 5.4 Lecture, Topic 5.4 Demonstration, Topic 57.5 Lecture, Topic 5.5 Demonstration | worksheet20 | 2 Lecture | worksheet21 | lec21lec20-slides | Homework 3, Checkpoint-1 | WS21-solution | ||||||||||||||
| Fri | Mar 1903 | Lecture 21: Actors | Module 2: 6.1, 6.2 | Topic 6.1 Lecture , Topic 6.1 Demonstration , Topic 6.2 Lecture, Topic 6.2 Demonstration | worksheet21 | lec21-slides | Quiz for Unit 4 | 22: Parallel Spanning Tree, other graph algorithms | worksheet22 | lec22-slides | Homework 4 | Homework 3 | WS22-solution | |||||||||||
9 | Mon | Mar 2206 | Lecture 22: Actors (contd)23: Java Threads and Locks | Module 2: 6Sections 7.31, 6.4, 6.57.3 | Topic 67. 31 Lecture, Topic 67.3 Demonstration, Topic 6.4 Lecture , Topic 6.4 Demonstration, Topic 6.5Lecture , Topic 6.5 Demonstration | worksheet22 | worksheet23 | lec23lec22-slides |
| WS23-solution | |||||||||||||||
| Wed | Mar 2408 | Lecture 23: Actors (contd)24: Java Locks - Soundness and progress guarantees | Module 2: 67.65 | Topic 67.6 Lecture, Topic 6.6 Demonstration | lec23-slides | Quiz for Unit 55 Lecture | worksheet24 | lec24-slides |
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| Fri | Mar | 2610 | Lecture 25: Dining Philosophers Problem | Module 2: 7.6 | Topic 7.6 Lecture | worksheet25 | lec25-slides | Spring "Sprinkle" Day (no class) |
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| 10 | Mon | Mar 29 | Lecture 24: Java Threads, Java synchronized statement | Module 2: 7.1, 7.2 | Topic 7.1 Lecture, Topic 7.2 Lecture | 13 | No class: Spring Break | lec24-slides |
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| Wed | Mar | 3115 | Lecture 25: Java Threads, Java synchronized statement (contd), wait/notify | Module 2: 7.1, 7.2 | Topic 7.1 Lecture, Topic 7.2 Lecture | lec25-slides | Homework 3 (all) | No class: Spring Break |
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| Fri | Apr 02 | Mar 17 | No class: Spring BreakLecture 26: Java Threads (exercise) | lec26-handout | Quiz for Unit 5
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1110 | MonApr 05 | Mar 20 | Lecture 27: Java Locks | Module 2: 7.3 | Topic 7.3 Lecture | lec27-slides | Quiz for Unit 6 | 26: N-Body problem, applications and implementations | worksheet26 | lec26-slides | WS26-solution | ||||||||||||||
| Wed | Apr 07Mar 22 | Lecture | 2827: Read-Write Locks, Linearizability of Concurrent Objects | Module 2: 7.3, 7.4 | Topic 7.3 Lecture, Topic 7.4 Lecture | lec28-slides | Homework 4 (includes one intermediate checkpoint) |
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| Fri | Apr 09 | Lecture 29: Java Locks (exercise) | lec29-handout | Quiz for Unit 6 | ||||||||||||||||||||
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| Fri | Mar 24 | Lecture 28: Message-Passing programming model with Actors | Module 2: 6.1, 6.2 | Topic 6.1 Lecture, Topic 6.1 Demonstration, Topic 6.2 Lecture, Topic 6.2 Demonstration | worksheet28 | lec28-slides |
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11 | Mon | 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-slides |
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| Wed | Mar 29 | Lecture 30: Task Affinity and locality. Memory hierarchy | worksheet30 | lec30-slides |
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| Fri | Mar 31 | Lecture 31: 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 | |||||||||||||||
12 | Mon | Apr 03 | Lecture 32: Barrier Synchronization with Phasers | Module 1: Section 3.4 | Topic 3.4 Lecture, Topic 3.4 Demonstration | worksheet32 | lec32-slides |
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| WS32-solution | 12 | Mon | Apr 12 | 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 7 |
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| Wed | Apr 14 | Lecture 31: Message Passing Interface (MPI), (start of Module 3) | Topic 8.1 Lecture, Topic 8.2 Lecture, Topic 8.3 Lecture | lec31 | 05 | Lecture 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 |
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| Fri | Apr 16 | Lecture 32: Message Passing Interface (MPI, contd) | Topic 8.4 Lecture | Apr 07 | Lecture 34: Fuzzy Barriers with Phasers | Module 1: Section 4.1 | Topic 4.1 Lecture, Topic 4.1 Demonstration | worksheet34 | lec34lec32-slides |
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13 | Mon | Apr 1910 | Lecture 33: Message Passing Interface (MPI, contd) | Topic 8.5 Lecture, Topic 8 Demonstration Video | lec33-slides |
| 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 8 | WS36-solution | Quiz for Unit 7 | ||||||||||||||
| 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 (20212022) | Topic | Handouts | Examples | 0 | Infrastructure Setup | lab0-handout | Handouts | Examples | |||
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1 | Jan 2610 | Infrastructure setup | lab0-handoutAsync-Finish Parallel Programming with abstract metrics lab1-handout | - | Feb 02 | No lab this week | ||||||
| 2 | Feb 09 | FuturesJan 17 | Functional Programming | lab2-handout | ||||||||
| - | Feb 16 | No lab this week (classes cancelled) | ||||||||||
3 | Jan 24 | Java Streams | 3 | Feb 23 | Cutoff Strategy and Real World Performance | lab3-handout | ||||||
| 4 | Mar 02Jan 31 | DDFsFutures | lab4- | handouthandout | ||||||||
5 | Feb 07 | Data-Driven Tasks | lab5- | handout | ||||||||
| 6 | Feb 14 | Async / Finish | lab6-handout | Mar 09 | No lab this week (Midterm exam) | |||||||
| - | Mar 16 Feb 21 | No lab this week ( Spring "Sprinkle" DayMidterm) | ||||||||||
| 5 | Mar 23 | Loop-level Parallelism | lab5-handout | lab5-intro | ||||||||
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| Isolated Statement and Atomic Variables | ||||||||||
| - | Actors | |||||||||||
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| Java Threads, Java Locks | ||||||||||
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| Message Passing Interface (MPI) | ||||||||||
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| Apache Spark | ||||||||||
| 7 | Feb 28 | Recursive Task Cutoff Strategy | lab7-handout | |||||||||
| 8 | Mar 07 | Java Threads | lab8-handout | |||||||||
- | Mar 14 | No lab this week (Spring Break) | ||||||||||
| 9 | Mar 21 | Concurrent Lists | lab9-handout | |||||||||
| 10 | Mar 28 | Actors | lab10-handout | |||||||||
| 11 | Apr 04 | Loop Parallelism | lab11-handout | |||||||||
- | Apr 11 | No lab this week | - |
| Eureka-style Speculative Task Parallelism | |||||||
- | Java's ForkJoin Framework | Apr 18 | 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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