Efficient Monitoring of Large-Scale HPC Infrastructures
Improved Resource Isolation and Usage Through Virtualization Techniques
Improved End-to-End Storage Performance for Data-Centric Workloads
A Management Framework for Consolidated Big Data and HPC
BigHPC will simplify the management of HPC infrastructures supporting Big Data and parallel computing applications. The project will have a direct impact on science, industry and society, by accelerating scientific breakthroughs in different fields and increasing the competitiveness of companies through better data analysis and improved decision-support processes.
The gap between the developers’ environment and the complexity of BigHPC infrastructure brings a challenge that can be solved by joining together teams that normally have different perspectives. The developers and infrastructure managers provide the Read more…
Our partner INESC TEC presented the BigHPC project to the Doctoral Program in Computer Science (MAP-I)’s first year students, on December 6, 2022. This presentation happened during a visit to the High-Assurance Software Laboratory from Read more…
Date: January 26, 2023 | 3 p.m. (GMT) Speaker: Samuel Bernardo and Miguel Viana, LIP Moderator: Mariana Miranda, INESC TEC & University of Minho The BigHPC project is bringing together innovative solutions to improve the Read more…
