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 BigHPC researchers, Bruno Antunes, from Wavecom, João Paulo, from INESC TEC, and Todd Evans, from TACC, have participated in the Cross Talks podcast, an initiative promoted by the UT Austin Portugal Program, and with Read more…
BigHPC’s research manager, Bruno Antunes (Wavecom), was interviewed by COMPETE 2020 about the mission and objectives of the project. The interview is in Portuguese and available here.
The BigHPC project consortium has published a paper at the International Conference for High Performance Computing, Networking, Storage, and Analysis 2020 (SC’20), which took place online, between November 9 and 19, 2020. The article is entitled “Containerization Read more…
