Difference between revisions of "CSC352 Class Page 2013"
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* '''Tuesday''' (Grace Hopper Conference) | * '''Tuesday''' (Grace Hopper Conference) | ||
* '''Thursday''' (Grace Hopper Conference) | * '''Thursday''' (Grace Hopper Conference) | ||
− | ** <font color="red">Newsletter #2 due today. Please include 1 news item about some form of image collage, representation of many images in some form, hopefully digital.</font> | + | ** <font color="red">Newsletter #2 due today. Please include 1 news item about some form of image collage, representation of many images in some form, hopefully digital. <u>Also, please use a Latex feature you haven't used in your first newsletter></u></font> |
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Revision as of 13:20, 22 September 2013
--D. Thiebaut (talk) 11:15, 9 August 2013 (EDT)
Contents
Weekly Schedule
Week | Topics | Reading |
Week 1 9/3 |
Thread 1 ----------------------|====|-------------------------> time Thread 2 ------------|====|-----------------------------------> time
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Week 2 9/10 |
(last slide taken from [www.cs.utexas.edu/users/mckinley/352/lectures/16.pdf http://www.cs.utexas.edu/users/mckinley/352/lectures/16.pdf])
(Image taken from URL: http://www.altera.com/technology/system-design/articles/2012/multicore-many-core.html)
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Week 3 9/17 |
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All the data structures of interest (concurrent non-blocking and blocking) can be found in the Oracle documentation. The information is a bit cryptic, but you need to get comfortable with it! |
Week 4 9/24 |
What field should they be experts in? Where should the company locate?
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Week 5 10/1 |
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Week 6 10/8 |
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Week 7 10/15 |
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Week 8 10/22 |
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Week 9 10/29 |
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Week 10 11/5 |
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Week 11 11/12 |
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Week 12 11/19 |
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Week 13 11/26 |
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Week 14 12/3 |
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Week 15 12/10 |
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Links and Resources
On-Line Resources
- Introduction to Parallel Processing, by Blaise Barney, Lawrence Livermore National Laboratory. A good read. Covers most of the important topics.
- Introduction to MPI, by Blaise Barney, Lawrence Livermore National Laboratory. Another short but excellent coverage of a topic in parallel processing, this time MPI.
- A 90-Minute Guide to Modern Microprocessors
Classics
- Designing and Building Parallel Programs, by Ian Foster. A relatively old reference (1995), with still good information.
Papers
This is a tentative and non exhaustive list of papers scheduled for reading this semester.
Introduction
- The Landscape of Parallel Computing Research: A View From Berkely, 2006, still good! (very long paper)
- Update on a view from Berkeley, 2010. (short paper)
General/Parallelism
- Parallel Computing with Patterns and Frameworks, 2010, XRDS.
- Understanding Throughput-Oriented Architectures, CACM, 2010.
- The Unreasonable Effectiveness of Data, by Halevy, Norvig, Pereira, IEEE Intelligent Systems, IEEE Intelligent Systems, March 2009, Vol. 24, No. 2, pp. 8-12.
MPI
- Learning from the Success of MPI, by WIlliam D. Gropp, Argonne National Lab, 2002.
GPUs
Virtualization
Cloud
- The NIST Definition of Cloud Computing (Draft) (very short paper)
- A View of Cloud Computing, 2010, By Armbrust, Michael and Fox, Armando and Griffith, Rean and Joseph, Anthony D. and Katz, Randy and Konwinski, Andy and Lee, Gunho and Patterson, David and Rabkin, Ariel and Stoica, Ion and Zaharia, Matei.
- MapReduce: SImplified Data Processing on Large Clusters, by Dean and Ghemawat, First published in OSDI 2004, also in Commun. ACM 51, 1 (January 2008), 107-113.
- Nobody ever got fired for using Hadoop on a cluster, Rowstron, Antony and Narayanan, Dushyanth and Donnelly, Austin and O'Shea, Greg and Douglas, Andrew
- Beyond Hadoop, Gregory Mone, CACM, 2013. (short paper).
Project-Related
- Processing Wikipedia Dumps: A Case-Study comparing the XGrid and MapReduce Approaches, D. Thiebaut, Yang Li, Diana Jaunzeikare, Alexandra Cheng, Ellysha Raelen Recto, Gillian Riggs, Xia Ting Zhao, Tonje Stolpestad, and Cam Le T Nguyen, in proceedings of 1st Int'l Conf. On Cloud Computing and Services Science (CLOSER 2011), Noordwijkerhout, NL, May 2011. (longer version)