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.
Some INESC TEC researchers started collaborating with researchers of AIST, in Tsukuba, Japan. This initiative focuses on some of the research topics that the team is currently working on, regarding the BigHPC project.If you are Read more…
BigHPC participated in the UT Austin Portugal 2020 Annual Conference, held by the UT Austin Portugal Program. The hybrid event (online and in person) was held on October 11 and 12. The conference, under the Read more…
The kickoff meeting of the BigHPC project took place on April 20 2020 via a virtual platform, with approximately 20 participants from six academia and industry partners. The main objective of the $2M project is Read more…
