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Laboratory assignments will explore these topics through a simple parallel extension to the Java language called Habanero-Java (HJ), developed in the Habanero Multicore Software Research project at Rice University. The use of Java will be confined to a subset of the language that should also be accessible to C programmers --- no advanced Java features will be used. An abstract performance model for HJ programs will be available to aid you in complexity analysis of parallel programs before you embark on performance evaluations on real parallel machines. We will conclude the course by introducing you to some real-world parallel programming models including the Java Concurrency Utilities, CUDA and Google's MapReduce. The foundations gained in this course will prepare you for advanced courses on Parallel Computing offered at Rice (COMP 422, COMP 522).
Since the aim of the course is for you to gain both theoretical and practical knowledge of the foundations of parallel programming, the weightage for course work will be balanced across four written assignments, three programming assignments, and two exams.Course
Lecture Schedule
| Day | Date(2009) | Topic | Handouts | Slides | Homework Assigned | Homework Due | |
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1 | Mon | Jan 10 | Lecture 1: The What and Why of Parallel Programming |
| HW1 (Written Assignment) |
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2 | Wed | Jan 12 | Lecture 2: Task Creation & Termination using Async & Finish |
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3 | Fri | Jan 14 | Lecture 3: Computation Graphs, Abstract Performance Metrics |
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| HW2 (Written Assignment) | HW1 |
- | Mon | Jan 17 | School Holiday |
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4 | Wed | Jan 19 | Lecture 4: Futures --- Tasks with Return Values |
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5 | Fri | Jan 21 | Lecture 5: Parallel Array Sum, Parallel Quicksort |
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| HW3 (Programming Assignment) | HW2 |
6 | Mon | Jan 24 | Lecture 6: Data Races and How to Avoid Them |
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7 | Wed | Jan 26 | Lecture 7: Parallel Prefix Sum |
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8 | Fri | Jan 28 | Lecture 8: Scheduling Theory, Amdahl's Law |
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9 | Mon | Jan 31 | Lecture 9: Forall parallel loops, Data parallelism |
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10 | Wed | Feb 02 | Lecture 10: Parallel algorithms using forall |
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11 | Fri | Feb 04 | Lecture 11: Critical sections and the Isolated statements |
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| HW4 (Written Assignment) | HW3 |
12 | Mon | Feb 07 | Lecture 12: Java Atomic Variables |
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13 | Wed | Feb 09 | Lecture 13: Guest Lecture (John Mellor-Crummey) |
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14 | Fri | Feb 11 | Lecture 14: Guest Lecture (John Mellor-Crummey) |
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15 | Mon | Feb 14 | Lecture 15: Barrier Synchronization (Phasers I) |
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16 | Wed | Feb 16 | Lecture 16: Split-phase Barriers (Phasers II) |
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17 | Fri | Feb 18 | Lecture 17: Point-to-point Synchronization (Phasers III) |
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18 | Mon | Feb 21 | Lecture 18: Successive Over Relaxation case study |
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19 | Wed | Feb 23 | Lecture 19: Midterm Summary |
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20 | Fri | Feb 25 | No lecture, Exam1 due today |
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| HW5 (Written Assignment) | Midterm Exam (Take-home) |
- | M-F | Feb 28 - Mar 04 | Spring Break |
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21 | Mon | Mar 07 | Lecture 20: Map Reduce |
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22 | Wed | Mar 09 | Lecture 21: Generalized Scan |
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23 | Fri | Mar 11 | Lecture 22: Task Affinity with Places |
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| HW6 (Programming Assignment) | HW5 |
24 | Mon | Mar 14 | Lecture 23: Task Affinity with Places, contd. |
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25 | Wed | Mar 16 | Lecture 24: Bounded Buffers |
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26 | Fri | Mar 18 | Lecture 25: Java Concurrent Collections |
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27 | Mon | Mar 21 | Lecture 26: Data Flow Programming |
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28 | Wed | Mar 23 | Lecture 27: Data Flow Programming, contd |
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- | Fri | Mar 25 | Midterm Recess |
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29 | Mon | Mar 28 | Lecture 28: Java Threads |
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30 | Wed | Mar 30 | Lecture 29: GUI Applications |
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31 | Fri | Apr 01 | Lecture 30: Java Executors |
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| HW7 (Programming Assignment) | HW6 |
32 | Mon | Apr 04 | Lecture 31: Java Locks & Conditions |
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33 | Wed | Apr 06 | Lecture 32: Java Synchronizers |
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34 | Fri | Apr 08 | Lecture 33: Deadlock, Livelock, Liveness |
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35 | Mon | Apr 11 | Lecture 34: Java Memory Model and Volatile Variables |
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36 | Wed | Apr 13 | Lecture 35: GPGU programming with CUDA |
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37 | Fri | Apr 15 | Lecture 36: CUDA contd. |
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38 | Mon | Apr 18 | Lecture 37: Distributed-memory programming with MPI |
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39 | Wed | Apr 20 | Lecture 38: MPI contd. |
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40 | Fri | Apr 22 | Lecture 39: Course Summary |
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| HW7 |
Grading, Honor Code Policy, Processes and Procedures
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