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Instructor: | Prof. Vivek Sarkar, DH 3080 | Graduate TA: | Kumud Bhandari |
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| Please send all emails to comp322-staff at rice dot edu | Graduate TA: | Rishi Surendran |
Assistant: | Penny Anderson, anderson@rice.edu, DH 3080 | Graduate TA: | Yunming Zhang |
| Undergrad TA: | WenXuan Wenxuan Cai | ||
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| Undergrad TA: | Kyle Kurihara |
Cross-listing: | ELEC 323 | Undergrad TA: | Max Payton |
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| Course consultants: | Vincent Cavé, Shams Imam, Maggie Tang, Bing Xue |
Lectures: | Herzstein Hall 212 | Lecture times: | MWF 1:00 - 1:50pm |
Labs: | Symonds II | Lab times: | Monday, 4:00 - 5:30pm (Section 1A01, Lead TAStaff: Yunming Zhang, Kumud, Wenxuan, Maggie) |
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| Wednesday, 4:30 - 6:00pm (Section 2A02, Lead TAStaff: Rishi Surendran, Kyle, Max, Bing) |
Course Objectives
The goal of COMP 322 is to introduce you to the fundamentals of parallel programming and parallel algorithms, using a pedagogic approach that exposes you to the intellectual challenges in parallel software without enmeshing you in the jargon and lower-level details of today's parallel systems. A strong grasp of the course fundamentals will enable you to quickly pick up any specific parallel programming model that you may encounter in the future, and also prepare you for studying advanced topics related to parallelism and concurrency in more advanced courses such as COMP 422.
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Lecture Schedule
Week | Day | Date (20132014) | Topic | Reading | Slides | edX linksVideos | In-class Worksheets | Slides | Code Examples | Homework Assigned | Homework Due |
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1 | Mon | Jan 13 | Lecture 1: The What and Why of Parallel Programming, Task Creation and Termination (Async-, Finish Parallel Programming,) | Module 1: Sections 0.1, 0.2, 1.1, | Unit 1 (scroll to Topic 1.1 Lecture & Topic 1.1 Demonstration) |
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| Wed | Jan 15 | Lecture 2: Data & Control Flow with Async Tasks, Computation Graphs, Ideal Parallelism, Abstract Performance Metrics | Module 1: Sections 1.32, 1.3 | Unit 1 (Topic 1. | 1, 3.22 Lecture & Demonstration, Topic 1.3 Lecture & Demonstration) |
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| Fri | Jan 17 | Lecture 3: Computation Graphs (contd), Parallel Speedup, Strong Scaling, Abstract Performance MetricsMultiprocessor Scheduling | Module 1: Sections 3.1, 3.2, 3.3Section 1.4 | Unit 1 (Topic 1.4 Lecture & Demonstration) | ||||||
2 | Mon | Jan 20 | Lecture 4: Abstract Performance Metrics (contd), Parallel Efficiency, Amdahl's Law, Weak Scaling | Module 1: Sections 3.3, 3.4No lecture, School Holiday (Martin Luther King, Jr. Day) | |||||||
| Wed | Jan 22 | Lecture 5: Data Races, Determinism, Memory Models4: Parallel Speedup and Amdahl's Law | Module 1: Chapter 4Section 1.5 | Unit 1 (Topic 1.5 Lecture & Demonstration) | ||||||
| Fri | Jan 24 | Lecture 65: Data races (contd), Futures --- Tasks with Return ValuesRaces, Determinism, Memory Models | Module 1: Chapter 4, Section 5.1, 5.2 | |||||||
3 | Mon | Jan 27No lecture, School Holiday (Martin Luther King, Jr. Day) | Lecture 6: Data races (contd), Futures --- Tasks with Return Values | ||||||||
| Wed | Jan 29 | No lecture, Reading Assignment on Futures: Chapter 5 of Module 1 handout | Module 1: Chapter 5 |
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| Fri | Jan 31 | Lecture 7: Futures (contd), Parallel Design Patterns, Finish Accumulators | Module 1: Chapter 5, Chapter 6 | |||||||
4 | Mon | Feb 03 | Lecture 8: Parallel N-Queens, Parallel Prefix Sum (Array Reductions with Associative Operators) | Module 1: Chapter 7 | |||||||
| Wed | Feb 05 | Lecture 9: Abstract vs. Real Performance | Module 1: Chapter 9 | |||||||
| Fri | Feb 07 | Lecture 10: Abstract vs. Real Performance (contd), seq clause | Module 1: Chapter 9 | |||||||
5 | Mon | Feb 10 | Lecture 11: Forasync Loops, Forasync Chunking | Module 1: Sections 8.1, 9.4 | |||||||
| Wed | Feb 12 | Lecture 12: Forall Loops, Barrier Synchronization | Module 1: Sections 10.1, 10.2, 10.4 | |||||||
| Fri | Feb 14 | Lecture 13: Forall and Barriers, Dataflow Computing, Data-Driven Tasks | Module 1: Chapters 10, 11 |
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6 | Mon | Feb 17 | Lecture 14: Recap of HJ constructs, Point-to-point Synchronization, Pipeline Parallelism, Introduction to Phasers | Module 1: Sections 12.1, 12.22 | |||||||
| Wed | Feb 19 | Lecture 15: Point-to-point Synchronization with Phasers | Module 1: Section 12.3 | |||||||
| Fri | Feb 21 | Lecture 16: Phaser Accumulators, Bounded Phasers, Summary of Barriers and Phasers | Module 1: Chapter 12 | |||||||
7 | Mon | Feb 24 | Lecture 17: Midterm Summary | ||||||||
| Wed | Feb 26 | Lecture 18: Midterm Summary (contd), Take-home Exam 1 distributed | ||||||||
| F | Feb 28 | No Lecture (Exam 1 due by 5pm today) | ||||||||
- | M-F | Feb 28- Mar 09 | Spring Break |
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8 | Mon | Mar 10 | Lecture 19: Critical sections, Isolated statement, Atomic variables | Module 2: Chapters 1, 2, 4, 6 |
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| Wed | Mar 12 | Lecture 20: Parallel Spanning Tree algorithm, Monitors, Java Concurrent Collections | Module 2: Chapters 3, 7 |
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| Fri | Mar 14 | Lecture 21: Actors | Module 2: Chapter 8 |
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9 | Mon | Mar 17 | Lecture 22: Actors (contd), Linearizability of Concurrent Objects | Module 2: Chapters 8, 9 |
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| Wed | Mar 19 | Lecture 23: Linearizability of Concurrent Objects (contd) | Module 2: Chapters 9, 10 |
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| Fri | Mar 21 | Lecture 24: Safety and Liveness Properties, Intro to Java Threads | Module 2: Chapters 11, 12 |
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10 | Mon | Mar 24 | Lecture 25: Java Threads (contd), Java synchronized statement | Module 2: Chapters 12, 13, 14 |
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| Wed | Mar 26 | Lecture 26: Java synchronized statement (contd), advanced locking | Module 2: Chapter 14 |
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| Fri | Mar 28 | Lecture 27: Speculative parallelization of isolated blocks (Guest lecture by Prof. Swarat Chaudhuri) |
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11 | Mon | Mar 31 | Lecture 28: Java Executors and Synchronizers |
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| Wed | Apr 02 | Lecture 29: Dining Philosophers Problem |
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- | Fri | Apr 04 | Midterm Recess | ||||||||
12 | Mon | Apr 07 | Lecture 30: Task Affinity with Places |
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| Wed | Apr 09 | Lecture 31: More on Actors: Places, Dining Philosophers (Guest lecture by Shams Imam) |
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| Fri | Apr 11 | Lecture 32: Message Passing Interface (MPI) |
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13 | Mon | Apr 14 | Lecture 33: Message Passing Interface (MPI, contd) |
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| Wed | Apr 16 | Lecture 34: Message Passing Interface (MPI, contd) |
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| Fri | Apr 18 | Lecture 35: Cloud Computing, Map Reduce |
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14 | Mon | Apr 21 | Lecture 36: Partitioned Global Address Space (PGAS) languages (Guest lecture by Prof. John Mellor-Crummey) |
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| Wed | Apr 23 | Lecture 37: Comparison of Parallel Programming Models |
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| Fri | Apr 25 | Lecture 38: Course Review, Take-home Exam 2 distributed | ||||||||
- | Fri | May 02 | No lectures this week — Exam 2 due by 4pm today |
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Lab Schedule
Lab # | Date (20132014) | Topic | Handouts | Code Examples |
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1 | Jan 08, 09, 10 | Infrastructure setup, Async-Finish Parallel Programming | lab1-handout | |
2 | Jan 15, 16, 17 | Abstract performance metrics with async & finish | ||
3 | Jan 22, 23, 24 | Data race detection and repair | ||
4 | Jan 29, 30, 31 | Futures, Finish Accumulators | ||
5 | Feb 05, 06, 07 | Real performance, work-sharing and work-stealing runtimes |
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6 | Feb 12, 13, 14 | Barriers, Data-Driven Futures | ||
- | Feb 19, 20, 21 | No lab (HW3 due, Exam 1 assigned) |
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7 | Mar 05, 06, 07 | Isolated Statement and Atomic Variables | ||
8 | Mar 12, 13, 14 | Actors | ||
9 | Mar 19, 20, 21 | Java Threads | ||
| 10 | Mar 26, 27, 28 | Java Locks | ||
- | Apr 02, 03, 04 | No new lab (extra time to complete Lab 10 due to midterm recess) | ||
11 | Apr 09, 10, 11 | Message Passing Interface (MPI) | ||
12 | Apr 16, 17, 18 | Map Reduce |
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