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.
Last week, close to 20 students from the MAP Doctoral Program in Computer Science (MAP-i) had the opportunity to get to know the BigHPC, a project with an impact on High-Performance (HPC) related areas. The Read more…
Throughout the second semester of 2020 into 2021, the BigHPC consortium and the UT Austin Portugal Program will be organizing a webinar series to spark discussion among academia and industry about the challenges around High-Performance Computing (HPC) and Read more…
Service development, provisioning, operation and integration into large scale production infrastructures often suffers from a lack of quality assurance realization. This may result from the fact that the different actors involved are either not aware Read more…
