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Setup ~ VM

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Vlad Ureche edited this page Jun 9, 2015 · 28 revisions

The following minimum specs are necessary for both the virtual machine and replicating the benchmarks:

  • 10 GB hard-drive space (compressed VM has 3GB, decompressed 6GB)
  • 8 GB of RAM (the VM requires 4GB of RAM, if you can't afford that much, it will also work with 3GB, but you need to adjust it in the VMware Player: from the menu bar, choose Virtual Machine, then Virtual Machine Settings and Memory)

Downloading

The uploaded virtual machine is available using these two alternative links:

The hash code for the vm archive is:

md5sum  5a80dad200d5efdc0bf2805f221eb6d9
sha1sum e99936c9e7be7d3c0a3f25d36004f9175f2c800a

After downloading and checking the hash, please expand the .tar.gz archive.

Installing VMware Player

To start the virtual machine you need the VMware’s VM Player. It is free and can be downloaded from VMware’s website. The installation should be self-explanatory.

Starting the Virtual Machine

Once VMware Player is installed, you should be able to Open and Play the virtual machine.

In the virtual machine, open the Tutorial directory and double-click the Step by step guide. This is a wiki page that will guide you through exploring the artifact source code, the benchmarks and the transformation. You will be able to explore the artifact in the ScalaIDE, allowing you to navigate easily.

In the Links directory, you will find three links:

  • a link to the workspace, with the following projects:
  • a link to the ScalaIDE with all the projects set up
  • a link to a Terminal, where you can run the ildl-scalac and ildl-scala scripts (you will use them throughout the project exploration)

The README file on the desktop contains some more information about the setup.

From Here:

Please make a choice of installation:

ildl wiki The `ildl-plugin` is a meta-programming technique aimed at allowing safe, custom transformations across library boundaries. Using `ildl`-based transformations, we were able to obtain speedups in excess of 20x and have optimized code across a wide range of use-cases.
**Return to the main page** or **return to the OOPSLA Step by Step Guide**
Frog Work Ahead: Some of the pages of this wiki are in flux. If you can't find what you are looking for, please [file a bug](https://github.com/miniboxing/ildl-plugin/issues).
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