2 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
Polytope: An Algorithm for Efficient Feature Extraction on Hypercubes
Mathilde Leuridan, James Hawkes, Simon Smart +2
Data extraction algorithms on data hypercubes, or datacubes, are traditionally only capable of cutting boxes of data along the datacube axes. For many use cases however, this is no…
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…
DAOS as HPC Storage, a view from Numerical Weather Prediction
Nicolau Manubens, Tiago Quintino, Simon D. Smart +2
Object storage solutions potentially address long-standing performance issues with POSIX file systems for certain I/O workloads, and new storage technologies offer promising perfor…