Difference between revisions of "CSC352 Class Page 2017"
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* '''Thursday''' | * '''Thursday''' | ||
− | ::* Presenting Technical Papers, a Presentation | + | ::* Presenting Technical Papers, [[Media:TheButlerDidIt_2017.pdf | a Presentation]] |
::* Multiprocessing in Python: in-class lab on parallel computation of Pi using the Monte-Carlo approach. Multi-Processing | ::* Multiprocessing in Python: in-class lab on parallel computation of Pi using the Monte-Carlo approach. Multi-Processing | ||
::* [[CSC352:_Using_Bash,_an_example| Using bash to measure execution time]] | ::* [[CSC352:_Using_Bash,_an_example| Using bash to measure execution time]] |
Revision as of 10:18, 2 February 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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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 |
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: | 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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Projects
- Go to the project page for information on the projects.
Links and Resources
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.
Hadoop
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 |