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.
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…
Following the challenges addressed in our first blog post, BigHPC will design and implement a new framework for monitoring and managing the infrastructure, data and applications of current and next-generation HPC data centers. The proposed Read more…
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…
