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There are no required textbooks for the class. Instead, lecture handouts are provided for each module as follows:
- Module 1 handout (Deterministic Shared-Memory Parallelism)
- Module 2 handout (Nondeterministic Shared-Memory Parallelism and Concurrency)
- Module 3 handout (Distributed-Memory Parallelism and Locality)
- Module 4 handout (Current Practice — today's Parallel Programming Models and Challenges)
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- 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
Past Offerings of COMP 322
Lecture Schedule
| Day | Date (2013) | Topic | Reading | Slides | Audio (Panopto) | Code Examples | Homework Assigned | Homework Due |
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1 | Mon | Jan 7 | Lecture 1: The What and Why of Parallel Programming | Module 1: Sections1.1, 1.2, 2.1, 2.2 |
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2 | Wed | Jan 9 | Lecture 2: Async-Finish Parallel Programming and Computation Graphs |
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3 | Fri | Jan 11 | Lecture 3: Computation Graphs, Abstract Performance Metrics, Array Reductions | ||||||
4 | Mon | Jan 14 | Lecture 4: Parallel Speedup, Efficiency, Amdahl's Law | ||||||
5 | Wed | Jan 16 | Lecture 5: Data & Control Flow with Async Tasks, Data Races | ||||||
6 | Fri | Jan 18 | Lecture 6: Memory Models, Atomic Variables | ||||||
- | Mon | Jan 21 | School Holiday (Martin Luther King, Jr. Day) | ||||||
7 | Wed | Jan 23 | Lecture 7: Memory Models (contd), Futures --- Tasks with Return Values | HW2 | HW1 | ||||
8 | Fri | Jan 25 | Lecture 8: Futures (contd), Dataflow Programming, Data-Driven Tasks | ||||||
9 | Mon | Jan 28 | Lecture 9: Abstract vs. Real Performance, seq clause, forasync loops | ||||||
10 | Wed | Jan 30 | Lecture 10: Forasync Chunking, Parallel Prefix Sum algorithm | ||||||
11 | Fri | Feb 1 | Lecture 11: Parallel Prefix Sum (contd), Parallel Quicksort | ||||||
12 | Mon | Feb 04 | Lecture 12: Finish Accumulators, Forall Loops and Barrier Synchronization | ||||||
13 | Wed | Feb 06 | Lecture 13: Forall Loops and Barrier Synchronization (contd) | HW3 | HW2 | ||||
14 | Fri | Feb 08 | Lecture 14: Point-to-point Synchronization and Phasers | ||||||
15 | Mon | Feb 11 | Lecture 15: Phaser Accumulators, Bounded Phasers | ||||||
16 | Wed | Feb 13 | Lecture 16: Summary of Barriers and Phasers | ||||||
17 | Fri | Feb 15 | Lecture 17: Task Affinity with Places | ||||||
18 | Mon | Feb 18 | Lecture 18: Task Affinity with Places (contd) | ||||||
19 | Wed | Feb 20 | Lecture 19: Midterm Summary, Take-home Exam 1 distributed | HW4 | HW3 | ||||
- | F | Feb 22 | No Lecture (Take-home Exam 1 due by 4pm today) | ||||||
- | M-F | Feb 25- Mar 01 | Spring Break |
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20 | Mon | Mar 04 | Lecture 20: Critical sections and the Isolated statement |
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21 | Wed | Mar 06 | Lecture 21: Isolated statement (contd), Monitors, Actors |
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22 | Fri | Mar 08 | Lecture 22: Actors (contd) |
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23 | Mon | Mar 11 | Lecture 23: Linearizability of Concurrent Objects |
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24 | Wed | Mar 13 | Lecture 24: Linearizability of Concurrent Objects (contd) |
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25 | Fri | Mar 15 | Lecture 25: Safety and Liveness Properties |
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26 | Mon | Mar 18 | Lecture 26: Parallel Programming Patterns |
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27 | Wed | Mar 20 | Lecture 27: Introduction to Java Threads | HW5 | HW4 | ||||
28 | Fri | Mar 22 | Lecture 28: Bitonic Sort (guest lecture by Prof. John Mellor-Crummey) |
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29 | Mon | Mar 25 | Lecture 29: Java Threads (contd), Java synchronized statement |
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30 | Wed | Mar 27 | Lecture 30: Java synchronized statement (contd), advanced locking |
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- | Fri | Mar 29 | Midterm Recess | ||||||
31 | Mon | Apr 01 | Lecture 31: Java Executors and Synchronizers |
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32 | Wed | Apr 03 | Lecture 32: Volatile Variables and Java Memory Model |
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33 | Fri | Apr 05 | Lecture 33: Message Passing Interface (MPI) |
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34 | Mon | Apr 08 | Lecture 34: Message Passing Interface (MPI, contd) |
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35 | Wed | Apr 10 | Lecture 35: Cloud Computing, Map Reduce |
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36 | Fri | Apr 12 | Lecture 36: Map Reduce (contd) |
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37 | Mon | Apr 15 | Lecture 37: Speculative parallelization of isolated blocks (Guest lecture by Prof. Swarat Chaudhuri) |
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38 | Wed | Apr 17 | Lecture 38: Comparison of Parallel Programming Models |
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39 | Fri | Apr 19 | Lecture 39: Course Review, Take-home Exam 2 distributed | ||||||
- | Fri | Apr 25 | Exam 2 due |
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Lab Schedule
Lab # | Date (2013) | Topic | Handouts | Code Examples | Solutions |
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1 | Jan 08, 09, 10 | DrHJ setup, Async-Finish Parallel Programming |
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2 | Jan 15, 16, 17 | Abstract performance metrics with async & finish |
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3 | Jan 22, 23, 24 | Data race detection and repair |
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4 | Jan 29, 30, 31 | Real performance, work-sharing and work-stealing runtimes, futures |
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5 | Feb 05, 06, 07 | Data-driven futures |
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6 | Feb 12, 13, 14 | Barriers and Phasers |
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- | Feb 19, 20, 21 | No lab (Exam 1 week) |
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7 | Mar 05, 06, 07 | Atomic Variables and Isolated Statement | |||
8 | Mar 12, 13, 14 | Actors | |||
9 | Mar 19, 20, 21 | Java Threads | |||
| - | Mar 26, 27, 28 | No lab (HW4 deadline, midterm recess) | |||
10 | Apr 02, 03, 04 | Java Locks |
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11 | Apr 09, 10, 11 | Message Passing Interface (MPI) |
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12 | Apr 16, 17, 18 | Map Reduce |
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Grading, Honor Code Policy, Processes and Procedures
Grading will be based on your performance on six homeworks (worth 50%), two exams (20% each), and lab attendance (10%).
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Graded homeworks will be returned to you via email, and exams as marked-up hardcopies. If you believe we have made an error in grading your homework or exam, please bring the matter to our attention within one week.
Past Offerings of COMP 322
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Accommodations for Students with Special Needs
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