Difference between revisions of "CSC352 Class Page 2017"
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:::* Introduction to Functional Programming | :::* Introduction to Functional Programming | ||
:::* Implementing Map-Reduce in Python | :::* Implementing Map-Reduce in Python | ||
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* '''Thursday''' | * '''Thursday''' | ||
− | ::* | + | ::* Class cancelled |
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|-valign="top" | |-valign="top" | ||
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− | * '''Tuesday''' | + | * '''Tuesday/Thursday''' |
− | * ' | + | ::* <font color="magenta">Paper Presentations: Wikipedia dumps (Angie), and Can Cloud Reach Top500 (Vega)</font> |
− | ::* | + | ::* Map-Reduce |
+ | :::* Implementing Map-Reduce in Python: various problems solved with Map-Reduce | ||
+ | ::::* [[Map-Reduce_Examples| Example page]] | ||
+ | ::::* [[CSC352_Game_of_Life_in_Map-Reduce| Solving Conway's Game of Life with Map-Reduce]] | ||
+ | |||
+ | ::* [[Media:CSC352_Week12_MapReduce.pdf | Map-Reduce slides (pdf)]] | ||
+ | |||
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* | * | ||
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* '''Tuesday''' | * '''Tuesday''' | ||
− | ::* | + | ::* Labs |
+ | :::* [[Tutorial:_Creating_a_Hadoop_Cluster_on_Amazon_AWS | Lab 1: Hadoop on AWS]] | ||
+ | :::* [[Hadoop_Tutorial_2.3_--_Running_WordCount_in_Python_on_AWS | Lab 2:Hadoop on AWS: streaming Python]] | ||
+ | :::* [[Hadoop_Tutorial_1.1_--_Generating_Task_Timelines | Lab 3: Creating Task Graphs]] | ||
+ | |||
* '''Thursday''' | * '''Thursday''' | ||
− | ::* Project Presentations | + | ::* Project Presentations: |
+ | :::* Isaiah | ||
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− | * | + | * [[CSC352 Homework 4 2017| Homework 4, Game of Life using Map-Reduce on AWS]] |
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* | * | ||
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* '''Tuesday''' | * '''Tuesday''' | ||
− | ::* Project Presentations ( | + | ::* Project Presentations: |
+ | :::* Grace (lunch time) | ||
+ | :::* Kathleen | ||
+ | :::* Riley | ||
* '''Thursday''' | * '''Thursday''' | ||
− | ::* Project Presentations ( | + | ::* Project Presentations: |
+ | :::* Sam & Angie (lunch time) | ||
+ | :::* Lujun & Vega | ||
+ | :::* Youyou and Zainab | ||
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* | * | ||
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* '''Friday, May 12, 4:00 p.m.''': pdf of project due on Moodle. | * '''Friday, May 12, 4:00 p.m.''': pdf of project due on Moodle. | ||
+ | * '''Friday, May 12, 4:00 p.m.''': Hadoop Game of Life due. | ||
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Latest revision as of 12:50, 25 April 2017
--D. Thiebaut (talk) 10:37, 2 December 2016 (EST)
Topics to be covered: | Week (approx) |
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Week 1 |
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Week 2 |
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Week 3 |
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Week 4 |
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Week 6 |
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Week 8 |
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Week 10 |
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Week 12 |
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Week 13 |
Week 1 Jan 26, 27 |
Topics: | Lab/Hw | Reading |
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Week 2 Jan 31, Feb 2 |
Topics: | Lab/Hw | Reading |
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Week 3 Feb 7, 9 |
Topics: | Lab/Hw | Reading |
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Week 4 Feb 14, 16 |
Topics: | Lab/Hw | Reading |
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Two papers to read for Thrusday. In class discussion. |
Week 5 Feb 21 |
Topics: | Lab/Hw | Reading |
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Week 6 Feb 28, Mar 2 |
Topics: | Lab/Hw | Reading |
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Week 7 Mar 7, 9 |
Topics: | Lab/Hw | Reading |
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SPRING BREAK
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Week 8 Mar 21, 23 |
Topics: | Lab/Hw | Reading |
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Week 9 Mar 28, 30 |
Topics: | Lab/Hw | Reading |
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Week 10 Apr 4, 6 |
Topics: MPI, AWS | Lab/Hw | Reading |
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Week 11 Apr 11, 13 |
Topics: | Lab/Hw | Reading |
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Week 12 Apr 18, 20 |
Topics: | Lab/Hw | Reading |
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Week 13 Apr 25, 27 |
Topics: | Lab/Hw | Reading |
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Week 14 May 2, 4 |
Topics: | Lab/Hw | Reading |
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Exam Week May 9, 12 |
Final Exam Week |
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Links & Resources
Map-Reduce
Final Project
- Go to the project page for information on the projects.
Links and Resources
Cloud Services
Cloud Services | |
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Name | Description |
Provides AMIs on AWS with GPUs attached. The AMIs are already loaded with tensorflow and python, as well as Jupyter for remote development of Python programs. They offer a 5-day free trial. | |
A whole cloud infrastructure similar to AWS, but (apparently) not running on AWS. Offers a cluster infrastructure with many packages preloaded, including Node.js, Rails, Redis, MongoDB, Cassandra, Docker, MediaWiki, Django, Drupal, Drone, LAMP, LEMP, Ruby, etc. Offers a $10 credit when first signing up. |
Latex
Here are some nice video tutorials on using Latex to write papers.
- Latex tutorial (video)
- How to write a thesis in Latex (video)
- Presentations with Beamer (video)
- TikZ examples (video), for drawing diagrams with lines, circles, ellipses, etc.
Smith Elements of Style
On-Line Resources
- Introduction to Parallel Processing, by Blaise Barney, Lawrence Livermore National Laboratory. A good read. Covers most of the important topics.
MPI
- Introduction to MPI, by Blaise Barney, Lawrence Livermore National Laboratory. Another short but excellent coverage of a topic in parallel processing, this time MPI.
- Launching and Amazon EC2 MPI Cluster
Hadoop
- Thiebaut's class notes
- How to create a simple hadoop cluster with VirtualBox
- StarCluster's Hadoop Plugin
Microprocessors
Papers
This is a tentative and non exhaustive list of papers scheduled for reading this semester.
Introduction
Paper | Pages |
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50 |
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2 |
General/Parallelism
Paper | Pages |
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5 |
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7 |
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5 |
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8 |
MPI
Paper | Pages |
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11 |
GPUs
Paper | Pages |
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6 |
Virtualization
Paper | Pages |
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5 |
Cloud
Paper | Pages |
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1.5 |
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9 |
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13 |
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5 |
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2 |
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10 |
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19 |
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8 |
Ischia, Italy — May 18 - 20, 2009. |
4 |