1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.DC2024
Reducing the Impact of I/O Contention in Numerical Weather Prediction Workflows at Scale Using DAOS
Nicolau Manubens, Simon D. Smart, Emanuele Danovaro +2
Operational Numerical Weather Prediction (NWP) workflows are highly data-intensive. Data volumes have increased by many orders of magnitude over the last 40 years, and are expected…
cs.DC2022★ 1 cited
Performance Comparison of DAOS and Lustre for Object Data Storage Approaches
Nicolau Manubens, Simon D. Smart, Tiago Quintino +1
High-performance object stores are an emerging technology which offers an alternative solution in the field of HPC storage, with potential to address long-standing scalability issu…