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https://issues.apache.org/jira/browse/SYSTEMML-1451?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15985030#comment-15985030
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Krishna Kalyan commented on SYSTEMML-1451:
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Hello All,
I tried to run benchmark test on my local VM. (Current Configuration)
2 Cores
8 GB RAM
However my script failed with `There is insufficient memory for the Java 
Runtime Environment to continue`. 
I would like to know hardware recommendations to run these scripts. (Based on 
which I will request for EC2 spot instance).

(Error Log)
https://gist.github.com/krishnakalyan3/ea370347df756b34b32a7200b641d72d


> Automate performance testing and reporting
> ------------------------------------------
>
>                 Key: SYSTEMML-1451
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1451
>             Project: SystemML
>          Issue Type: Improvement
>          Components: Infrastructure, Test
>            Reporter: Nakul Jindal
>              Labels: gsoc2017, mentor, performance, reporting, testing
>
> As part of a release (and in general), performance tests are run for SystemML.
> Currently, running and reporting on these performance tests are a manual 
> process. There are helper scripts, but largely the process is manual.
> The aim of this GSoC 2017 project is to automate performance testing and its 
> reporting.
> These are the tasks that this entails
> 1. Automate running of the performance tests, including generation of test 
> data
> 2. Detect errors and report if any
> 3. Record performance benchmarking information
> 4. Automatically compare this performance to previous version to check for 
> performance regressions
> 5. Automatically compare to Spark MLLib, R?, Julia?
> 6. Prepare report with all the information about failed jobs, performance 
> information, perf info against other comparable projects/algorithms 
> (plotted/in plain text in CSV, PDF or other common format)
> 7. Create scripts to automatically run this process on a cloud provider that 
> spins up machines, runs the test, saves the reports and spins down the 
> machines.
> 8. Create a web application to do this interactively without dropping down 
> into a shell.
> As part of this project, the student will need to know scripting (in Bash, 
> Python, etc). It may also involve changing error reporting and performance 
> reporting code in SystemML. 
> Rating - Medium (for the amount of work)
> Mentor - [~nakul02] (Other co-mentors will join in)



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