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.
Storage is a crucial aspect of HPC clusters. Storage nodes are typically shared among multiple users, and are highly utilized – there isn’t a lot of unused space. The storage nodes also experience a lot Read more…
Date: May 5, 2022 | 3.00 p.m. (GMT+1) Speaker: Ricardo Macedo, Research Assistant, Institute for Systems and Computer Engineering, Technology and Science (INESC TEC) and University of Minho Moderator: Todd Evans, Researcher Associate, Texas Advanced Computing Read more…
The work developed by researchers from the BigHPC project, João Paulo and Ricardo Macedo (INESC TEC), and Vijay Chidambaram (UT Austin), aims at ensuring that supercomputers users can carry out scientific studies — in fields Read more…
