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COMP 322: Fundamentals of Parallel Programming (Spring 2014)

...

  1. Deterministic Shared-Memory Parallelism: 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 arrays.
  2. Nondeterministic Shared-Memory Parallelism and Concurrency: critical sections, atomicity, isolation, high level data races, nondeterminism, linearizability, liveness/progress guarantees, actors, request-response parallelism, Java Concurrency, locks, condition variables, semaphores, memory consistency models.
  3. Distributed-Memory Parallelism and Locality: memory hierarchies, cache affinity, data movement, message-passing (MPI), communication overheads (bandwidth, latency), MapReduce, accelerators, GPGPUs, CUDA, OpenCL, energy efficiency, resilience.

Prerequisite 

The prerequisite course requirements are COMP 182 and COMP 215.  COMP 322 should be accessible to anyone familiar with the foundations of sequential algorithms and data structures, and with basic Java programming.  COMP 221 is also recommended as a co-requisite.  

...

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)

...

Quiz Schedule

...

Lecture Schedule

Week

Day

Date (2013)

Topic

Reading

Slides

edX links

Code Examples

Homework Assigned

Homework Due

1

Mon

Jan 13

Lecture 1: The What and Why of Parallel Programming

Module 1: Sections1.1, 1.2, 2.1, 2.2

 

Topic 1.1

ArraySum0.hj

 

 

 

Wed

Jan 15

Lecture 2: Async-Finish Parallel Programming, Data & Control Flow with Async Tasks, Computation Graphs

Module 1: Sections 1.3, 3.1, 3.2

 

  

HW1, quicksort.hj

 

 

Fri

Jan 17

Lecture 3: Computation Graphs (contd), Parallel Speedup, Strong Scaling, Abstract Performance Metrics

Module 1: Sections 3.1, 3.2, 3.3  ArraySum1.hj 

2

Mon

Jan 20

Lecture 4: Abstract Performance Metrics (contd), Parallel Efficiency, Amdahl's Law, Weak Scaling

Module 1: Sections 3.3, 3.4  Search2.hj  

 

Wed

Jan 22

Lecture 5: Data Races, Determinism, Memory Models

Module 1: Chapter 4     

 

Fri

Jan 24

Lecture 6: Data races (contd), Futures --- Tasks with Return Values

Module 1: Chapter 4, Section 5.1, 5.2     

3

Mon

Jan 27

No lecture, School Holiday (Martin Luther King, Jr. Day)

      

 

Wed

Jan 29

No lecture, Reading Assignment on Futures: Chapter 5 of Module 1 handout

Module 1: Chapter 5   

HW2, GeneralizedReduce.hj,

GeneralizedReduceApp.hj,

SumReduction.hj,

TestSumReduction.hj

HW1 (due by 5pm on Jan 23rd)

 

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    HW2 (due by 5pm on Feb 7th)

 

Fri

Feb 14

Lecture 13: Forall and Barriers, Dataflow Computing, Data-Driven Tasks

Module 1: Chapters 10, 11   

HW3, SeqScoring.hj, X.txt,

Y.txt, BigSeq.zip,

UsefulParScoring.hj, SparseParScoring.hj

 

6

Mon

Feb 17

Lecture 14: Recap of HJ constructs, Point-to-point Synchronization, Pipeline Parallelism, Introduction to Phasers

Module 1: Sections 12.1, 12.2     

 

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)

     HW3 (due by 11:55pm on Feb 24th)

-

M-F

Feb 28- Mar 09

Spring Break

 

 

 

 

 

 

8

Mon

Mar 10

Lecture 19: Critical sections, Isolated statement, Atomic variables

Module 2: Chapters 1, 2, 4, 6    

 

 

Wed

Mar 12

Lecture 20: Parallel Spanning Tree algorithm, Monitors, Java Concurrent Collections

Module 2: Chapters 3, 7   HW4, hw_4.zip

 

 

Fri

Mar 14

Lecture 21: Actors

Module 2: Chapter 8    

 

9

Mon

Mar 17

Lecture 22: Actors (contd), Linearizability of Concurrent Objects

Module 2: Chapters 8, 9  

 

 

 

 

Wed

Mar 19

Lecture 23: Linearizability of Concurrent Objects (contd)

Module 2: Chapters 9, 10   

 

 

 

Fri

Mar 21

Lecture 24: Safety and Liveness Properties, Intro to Java Threads

Module 2: Chapters 11, 12  

 

 

 

10

Mon

Mar 24

Lecture 25: Java Threads (contd), Java synchronized statement

Module 2: Chapters 12, 13, 14  

 

 

 

 

Wed

Mar 26

Lecture 26: Java synchronized statement (contd), advanced locking

Module 2: Chapter 14    

 

 

Fri

Mar 28

Lecture 27: Speculative parallelization of isolated blocks (Guest lecture by Prof. Swarat Chaudhuri)

   

 

 

HW4 (due by 11:55pm on March 22nd)

11

Mon

Mar 31

Lecture 28: Java Executors and Synchronizers

   

 

 

 

 

Wed

Apr 02

Lecture 29: Dining Philosophers Problem

   

 

 

 

-

Fri

Apr 04

Midterm Recess

      

12

Mon

Apr 07

Lecture 30: Task Affinity with Places

    HW5, hw_5.zip

 

 

Wed

Apr 09

Lecture 31: More on Actors: Places, Dining Philosophers (Guest lecture by Shams Imam)

   

DiningPhilosopher.hj

 

 

 

Fri

Apr 11

Lecture 32: Message Passing Interface (MPI)

   

 

 

 

13

Mon

Apr 14

Lecture 33: Message Passing Interface (MPI, contd)

     

 

 

Wed

Apr 16

Lecture 34: Message Passing Interface (MPI, contd)

   

 

 

 

 

Fri

Apr 18

Lecture 35: Cloud Computing, Map Reduce

   

 

 

HW5 (due by 11:55pm on Sunday, April 14th)

14

Mon

Apr 21

Lecture 36: Partitioned Global Address Space (PGAS) languages (Guest lecture by Prof. John Mellor-Crummey)

    

HW6

 

 

Wed

Apr 23

Lecture 37: Comparison of Parallel Programming Models

   

 

 

 

 

Fri

Apr 25

Lecture 38: Course Review, Take-home Exam 2 distributed

     HW6 (due by 11:55pm on April 19th, penalty-free extension till April 26th)

-

Fri

May 02

No lectures this week — Exam 2 due by 4pm today

 

 

 

 

 

 

...