README.md

Description:

Presentation

Deepgalaxy is an AI software. It's goal is to classify image of galaxy into refernces categories. It's Open-source, use CPU or GPU and designed for high performances on super-computers.

Technical information:

• website :
• Scientific domain : astrophysics
• Language : Python
• Parallelism : MPI
• GPU acceleration : Yes
• Scalability : high
• Vectorization:

Compilation and simulation:

Download:

Sources are available at:

To download this release, run:

./download.sh

Compile:

No compilation because it's interpreted python

Run and validate the simulation:

For each test case, given in a separate folder (e.g. testcase_small), you can find three scripts:

• prepare.sh: prepare the simulation (move data to the right location)
• run.sh : run the application and print out the evaluated metric
• validate.sh: validation of the simulation on a scientific point of view

For running and validating the simulation, one should be able to do:

cd testcase_XXX
./prepare.sh
./run.sh
./validate.sh

And getting no error code returned. Those steps can also be used in a batch file for running the simulation using a job scheduler.