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ECS 50: Program #3 Prof. Joël Porquet UC Davis, Fall Quarter 2019 • 1 Changelog • 2 General information • 3 Program • 4 Submission • 5 Academic integrity 1 Changelog Note that the specifications for this project are subject to change at anytime for additional clarification. Make sure to always refer to the latest version.
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Correlation Networks Due: 21219. Objectives: Experiencing basic network properties Preparing a network dataset Tasks: Install netwrokx library or use python 3.7 distribution with preinstalled networkx. Download the following datasets from UCI Machine Learning Repository https:archive.ics.uci.edumldatasetsgeneexpressioncancerRNASeq https:archive.ics.uci.edumldatasetsDexter https:archive.ics.uci.edumldatasetsArcene https:archive.ics.uci.edumldatasetsAmazonCommercereviewsset https:archive.ics.uci.edumldatasetsReuter5050 https:archive.ics.uci.edumldatasetsDrivFace https:archive.ics.uci.edumldatasetsDailyandSportsActivities https:archive.ics.uci.edumldatasetsp53Mutants https:archive.ics.uci.edumldatasetsGisette https:archive.ics.uci.edumldatasetsMicroMass https:archive.ics.uci.edumldatasetsCNAE9 https:archive.ics.uci.edumldatasetsParkinson27sDiseaseClassification https:archive.ics.uci.edumldatasetsGastrointestinalLesionsinRegularColonoscopy https:archive.ics.uci.edumldatasetsMultipleFeatures https:archive.ics.uci.edumldatasetsISOLET https:archive.ics.uci.edumldatasetsSECOM https:archive.ics.uci.edumldatasetsSmartphoneBasedRecognitionofHumanActivitiesandPosturalTransitions https:archive.ics.uci.edumldatasetsUJIIndoorLoc https:archive.ics.uci.edumldatasetsFMA3AADatasetForMusicAnalysis https:archive.ics.uci.edumldatasetsDetectMalaciousExecutable28AntiVirus29 https:archive.ics.uci.edumldatasetsMadelon
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One thread: 1024000 numbers: 191 ms 2048000 numbers: 380 ms 8192000 numbers: 1638 ms Two threads: 1024000 numbers: 112 ms 2048000 numbers: 252 ms 8192000 numbers: 953 ms Four threads: 1024000 numbers: 83 ms 2048000 numbers: 167 ms 8192000 numbers: 672 ms
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EECS 325/425 Project 2 Due December 2, 2019 before 11:59pm. EECS325: 80 points + 10 bonus points; EECS425: 100 points In this project, you will investigate the correlation between two common inter-host distance metrics: the hop count and the RTT. Before you do your measurements, you need to implement a program that measures hop distance
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public class MergeSort private static final Random RNG new Random10982755L; private static final int LENGTH 524288; public static void mainString… args int arr randomIntArray; long start System.currentTimeMillis; concurrentMergeSortarr; long end System.currentTimeMillis; if !sorteda System.err.printlnThe final array is not sorted; System.exit0; System.out.printf10d numbers: 6d msn, LENGTH, end start; private static int randomIntArray int arr new intLENGTH;
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public static class WordCounter { // The following are the ONLY variables we will modify for grading. // The rest of your code must run with no changes. public static final Path FOLDER_OF_TEXT_FILES = Paths.get(“…”); // path to the folder where input text files are located public static final Path WORD_COUNT_TABLE_FILE = Paths.get(“…”); // path
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text-a text-b text-c total actually 1 0 0 1 and 0 1 0 1 are 1 1 0 2 can 0 0 1 1 counting 1 1 0 2 do 0 0 1 1 ever 0 1 0 1 everywhere 0 1 0 1 file 1 0 0 1 help 0 1 0 1 how
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One thread: 1024000 numbers: 191 ms 2048000 numbers: 380 ms 8192000 numbers: 1638 ms Two threads: 1024000 numbers: 112 ms 2048000 numbers: 252 ms 8192000 numbers: 953 ms Four threads: 1024000 numbers: 83 ms 2048000 numbers: 167 ms 8192000 numbers: 672 ms
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