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.
“WineFS: a hugepage-aware file system for persistent memory that ages gracefully” is the title of the new paper presented at the 28th ACM Symposium on Operating Systems Principles (SOSP). The new paper, written under the 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…
Some of the BigHPC’s partners have participated in the UT Austin Portugal 2021 Annual Conference, held by the UT Austin Portugal Program. The event was held between October 20-21. The BigHPC team presented a poster Read more…
