This projects where developed for the PSD-GCED class as a way to learn about distributed computing environments.

The first project was oriented on learning to work in HPC (High Performance Computing) distributed environments. We where given access to the MareNostrum supercomputer with the aim to create and execute scripts to run the NAS Parallel Benchmarks with different configurations. The scripts and final report can we found here.

The second project objective was to learn to work with cloud providers, taking advantage of its distributed capabilities. The goal was to extract twitter analytic information with the twitter API and processing it using Spark, distributed in several AWS EC2 machines. The resulting report and code can be found here.