Difference between revisions of "CSC352 Resources"

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(Documentation on Cloud Computing, Map-Reduce, & Hadoop)
(Resources: References & Bibliography for CSC352)
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** Final Thoughts
 
** Final Thoughts
  
* Threading
+
* <u>Threading</u>
 
** D. Tullsen, S. Eggers, and H. M. Levy, [http://www.cs.washington.edu/research/smt/papers/ISCA95.ps  Simultaneous Multithreading: Maximizing On-Chip Parallelism], Proc. ISCA, Santa Margherita Ligure, Italy, 1997 ([[Media:simultaneousMultithreading_isca95.pdf |cached copy]])
 
** D. Tullsen, S. Eggers, and H. M. Levy, [http://www.cs.washington.edu/research/smt/papers/ISCA95.ps  Simultaneous Multithreading: Maximizing On-Chip Parallelism], Proc. ISCA, Santa Margherita Ligure, Italy, 1997 ([[Media:simultaneousMultithreading_isca95.pdf |cached copy]])
 
   
 
   
* Xgrid
+
* <u>Xgrid</u>
 
** Hughes, B., [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.60.7248&rep=rep1&type=pdf Building Computational Grids with Apple's XGrid Middleware],  ''ACM International Conference Proceeding Series'', Vol. 167, Hobart, Tasmania, Australia, 2006. ([[media:buildingComputationalGrids.pdf|cached copy]])
 
** Hughes, B., [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.60.7248&rep=rep1&type=pdf Building Computational Grids with Apple's XGrid Middleware],  ''ACM International Conference Proceeding Series'', Vol. 167, Hobart, Tasmania, Australia, 2006. ([[media:buildingComputationalGrids.pdf|cached copy]])
 
<!--** Kokaly M., et. al., [http://www.cas.mcmaster.ca/~downd/mgst/files/LPAS%20Paper.pdf MGST: A framework for performance evaluation of Desktop Grids], 2009 IEEE International Symposium on Parallel&Distributed Processing, Rome, Italy ([[Media:MGSTFrameworkPerformanceXGrid.pdf|cached copy]])-->
 
<!--** Kokaly M., et. al., [http://www.cas.mcmaster.ca/~downd/mgst/files/LPAS%20Paper.pdf MGST: A framework for performance evaluation of Desktop Grids], 2009 IEEE International Symposium on Parallel&Distributed Processing, Rome, Italy ([[Media:MGSTFrameworkPerformanceXGrid.pdf|cached copy]])-->
 
** Tsouloupas G, and M. Dikaiakos, [http://grid.ucy.ac.cy/reports/TR-04-5.pdf Characterization of Computational Grid Resources Using Low-Level Benchmarks], Second IEEE International Conference on e-Science and Grid Computing, Amsterdam, Netherlands, 2006 ([[Media:CharacterizationComputationalGridBenchmark.pdf|cached copy]])
 
** Tsouloupas G, and M. Dikaiakos, [http://grid.ucy.ac.cy/reports/TR-04-5.pdf Characterization of Computational Grid Resources Using Low-Level Benchmarks], Second IEEE International Conference on e-Science and Grid Computing, Amsterdam, Netherlands, 2006 ([[Media:CharacterizationComputationalGridBenchmark.pdf|cached copy]])
  
* MapReduce
+
* <u>MapReduce</u>
 
** Dean, J., and S. Ghemawat, [http://labs.google.com/papers/mapreduce-osdi04.pdf MapReduce: Simplified Data Processing on Large Clusters], Dec. 2004,  ([[media:MapReduce1204.pdf|cached copy]])
 
** Dean, J., and S. Ghemawat, [http://labs.google.com/papers/mapreduce-osdi04.pdf MapReduce: Simplified Data Processing on Large Clusters], Dec. 2004,  ([[media:MapReduce1204.pdf|cached copy]])
 
** Dan Gillick, Arlo Faria, John DeNero, [http://www.icsi.berkeley.edu/~arlo/publications/gillick_cs262a_proj.pdf  MapReduce: Distributed Computing for Machine Learning],  Berkeley U., 2006 ([[Media:MapReduceDistributedComputingMachineLearning.pdf|Cached Copy]])
 
** Dan Gillick, Arlo Faria, John DeNero, [http://www.icsi.berkeley.edu/~arlo/publications/gillick_cs262a_proj.pdf  MapReduce: Distributed Computing for Machine Learning],  Berkeley U., 2006 ([[Media:MapReduceDistributedComputingMachineLearning.pdf|Cached Copy]])

Revision as of 13:01, 4 April 2010


Main Page | Syllabus | Schedule | Links & Resources


Resources: References & Bibliography for CSC352

General Knowledge Papers

Papers, Articles and University Courses on Parallel & Distributed Processing

Videos: Big Data and Analytics


A
video by Linkedin's Chief Scientist DJ Patil. As a mathematician specializing in dynamical systems and chaos theory, DJ began his career as a weather forecaster working for the Federal government. DJ shares his observations on how analytics has changed in recent years, especially as Big Data increasingly becomes common.

Roger Magoulas, from O'Reily Radar, discusses "big data" (10 minutes).

Jeff Veen: Designing for "Big Data", April 2009.

Documentation on Python Threads

SmilingPython.png

Documentation on XGrid

XgridLogo.png

General References

Applications

Documentation on Cloud Computing, Map-Reduce, & Hadoop

"Failure is the defining difference between distributed and local programming"

Ken Arnold, CORBA Designer

Literature

Tutorials

Media Reports

News Feed

Class Material on the Web

Software/Web Links

HadoopCartoon.png
The IBM MapReduce Tools for Eclipse Plug-in is a robust plug-in that brings Hadoop support to the Eclipse platform. Features include server configuration, support for launching MapReduce jobs and browsing the distributed file system. This setup assumes that you are running Eclipse (version 3.3 or above) on your computer.

Videos

Visualizations

  • Visualizations of Hadoop Data Transfers, from the U. of Nebraska (more videos)




  • Monitoring a Cluster of Computer as a school of fish (U. Nebraska)





Notes

Cloud Cluster @ Smith















class notes