Setting Up Files
Hands-on Files on Turing
Hands-on files are located on Turing on this subdirectory:
/scratch-lustre/DeapSECURE/module05/Exercises
Copy the entire directory tree to your ~/CItraining/module5:
$ mkdir -p ~/CItraining/module5
$ cd ~/CItraining/module5
$ cp -pr /scratch-lustre/DeapSECURE/module05/Exercises/. .
(Don’t forget the last period!)
Obtaining Compute Resource
In this workshop, we will begin by doing some interacting computation using homomorphic encryption. We will use one CPU core as a starting point. Here’s how we request the resource on Turing:
$ salloc -c 1
Notice that the host name changed from turing1 to
something like coreV3-23-024 or coreV4-21-010.
That is an indicator that we have logged on to a compute node.
Parallel computing?
In the second half of the workshop there will be opportunity to do parallel computation to speed up the encryption tasks. No need to pre-allocate multiple cores; we will request those when submitting jobs via SLURM batch scheduler.
Setting Up Environment
After you obtain the compute resource, you will need to load a number of modules:
enable_lmod
module load icc/18 impi/18
module load python/3.6
module load mpi4py
module load ipython
module load numpy scipy
module load matplotlib # for image loading/saving later
module load pandas # in case needed for large dataset
# dependencie of gmpy2 and phe
module load gmp mpfr mpc
module use /scratch-lustre/DeapSECURE/lmod
module load DeapSECURE
A few modules are provided by DeapSECURE itself: phe (a.k.a. python-paillier),
pycrypto, and gmpy2.
We created a shell command file named crypto-env-py3 in your hands-on
directory to ease reloading of these modules later on.
To take advantage of this, please issue this command in the same directory as before:
$ source crypto-env-py3
Do this only once per shell session, right after you obtain your computing cores.
Run IPython
Now start ipython:
$ ipython
Your computing environment is ready!