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 have a monitoring and profiling framework capable of producing resource usage information on a process-level as well as detailed profiling of Java-based applications in the form of flame graphs.
This project provides a platform designed to restrict the power consumption of applications running in container-based environments.
PATO: high PerformAnce TriplexatOr is a high performance tool for the fast and efficient detection of triple helices and triplex features in nucleotide sequences