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.
Date: September 22, 2022 | 3.00 p.m. (GMT+1) Speakers: Amit Ruhela, John Cazes, and Stephen Harrell (TACC & UT Austin) Moderator: Miguel Viana, LIP Virtual Manager (VM) is a component in the BigHPC implementation that aims Read more…
The last decade witnessed a new era of software development that allows software developers to write applications independently of the target environment by packaging them along with their dependencies and environment variables inside containers. Numerous Read more…
Date: July 14, 2022 | 3.00 p.m. (GMT+1) Speaker: Rohan Kadekodi, UT Austin Moderator: Tânia Esteves, INESC TEC & University of Minho Persistent Memory (PM) refers to storage class memory that offers non-volatility, low latency and Read more…
