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 project consortium presented a paper at the ISC HIGH PERFORMANCE 2021, which took place online, between June 24 and July 2, 2021. The research article entitled “Characterizing Containerized HPC Applications Performance at Petascale on CPU 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…
The INESC TEC team has published a paper entitled “BDUS: implementing block devices in user space” at the 14th ACM International Systems and Storage Conference (SYSTOR ’21), as part of BigHPC project, which took place Read more…
