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 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…
BigHPC Consortium June 8, 2021 HPC centers are no longer solely targeted for highly parallel modeling and simulation tasks. Indeed, the computational power offered by these systems is now being used to support advanced Big Read more…
The 1st Workshop on High-Performance and Reliable Big Data (HPBD’21) will take place on September 20th, 2021, in Chicago, USA and is co-located with SRDS 2021. The HPBD’21 is supported by BigHPC and PAStor projects.
