The main research activity of the Computer Architecture Group is high-performance computing, focusing on the following research lines:
This project provides a serverless platform for the execution of Big Data workloads through Hadoop YARN in container-based clusters. An automated Ansible deployment and a web interface are also provided.
This project provides a container rescaler that is able to change cpu,memory,disks and network cgroups' limits through an REST API in real time and in an automatic manner
This repository acts as an umbrella project for different subprojects that can be combined to automatically build CPU power consumption models
A framework written in Scala to support the development of distributed population-based metaheuristics and their application to the global optimization of large-scale problems in Spark clusters.
Big Data tool that allows performing various quality controls, as well as transformations, on genomic sequence datasets following a streaming model
