INF-549: Introduction to Computational Thinking and Data Science
Term: Spring 2019
代写Data Science You can complete this assignment in wings or jupyter notebook. Follow instructions for ONE of these two below.
Homework 6
Goals
The purpose of this homework is to see how datasets can be processed in parallel.
Assignment Options 代写Data Science
You can complete this assignment in wings or jupyter notebook. Follow instructions for ONE of these two below.
Assignment in Wings
You should have access to the Wings workflow system at: http://datascience4all.org/wings-portal/.
1.Parallelcomputations
a.Select the CaesarCypherParallel domain. Choose 2 or 3 poems or the lyrics of several songs. Upload them to Wings.
b.Run the CaesarCypherIndependent on those files (use the shift key to select more than one file from the drop-downmenu).
i.Include the workflow diagram before you run the workflow.
ii.How many output files did the workflowgenerate?
c.Run the CaesarCypherMap on one of the files, use the numberOfChunks parameter to dividethe processing. 代写Data Science
i.How many output files did the workflowgenerate?
d.Which workflow would you use to process a collection ofdocuments?
2.MapReduceParallelism
a.Run the CaesarCypherMapReduce on one of your poems.
i.Include the workflow diagram before you run the workflow.
ii.How many output files did the workflowgenerate?
b.Explain why the CaesarCypherMapReduce uses a MapReduce approach while CaesarCypherMap does not. 代写Data Science
c.Discuss why or why not encrypting files is an embarrassingly parallel problem.
3.Parallelism and criticalpaths
a.Describe a problem where a MapReduce approach would make processing more efficient.
i.Sketch (draw) a workflow for thatproblem.
b.Describe a problem where parallel processing would only help in somesteps
i.Sketch (draw) a workflow for that problem.
Assignment in Notebook 代写Data Science
You can access the materials for the homework on jupyter notebook here: https://github.com/KnowledgeCaptureAndDiscovery/INF549/.
Within that folder, the instructions for using the notebooks be found in this file: Instructions about Installing Jupyter Notebook.pdf
This assignment is to complete folder Assignment5_ParallelProcessing. Turn in your results for each part below as per the instructions on notebooks.
- Complete the8_Parallel Processing of Data.ipynb notebook
- Complete the9_Parallel Processing of Data Using MapReduce.ipynb notebook
- Complete the10_Processing Datasets Independently.ipynb notebook
IMPORTANT NOTES 代写Data Science
Plagiarism – presenting someone else’s ideas as your own, either verbatim or recast in your own words – is a serious academic offense with serious consequences. Please familiarize yourself with the discussion of plagiarism in SCampus in Section 11, Behavior Violating University Standards https://scampus.usc.edu/1100-behavior-violating-university-standards-and-appropriate-
sanctions. Other forms of academic dishonesty are equally unacceptable. See additional information in SCampus and university policies on scientific misconduct, http://policy.usc.edu/scientific-misconduct.
A number of USC’s schools provide support for students who need help with scholarly writing. Check with your advisor or program staff to find out more. Students whose primary language is not English should check with the American Language Institute http://dornsife.usc.edu/ali, which sponsors courses and workshops specifically for international graduate students.
For more information, see the class syllabus and the USC web site.
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