Interference of nearby jobs has been recently identified as the dominant reason for the high
performance variability of parallel applications running on High Performance Computing …

This paper describes INSEE, a simulation framework developed at the University of the
Basque Country. INSEE is designed to carry out performance-related studies of …

The most demanding tenants of shared clouds require complete isolation from their
neighbors, in order to guarantee that their application performance is not affected by other …

Metal-based additive manufacturing requires active monitoring solutions for assessing part
quality. Multiple sensors and data streams, however, generate large heterogeneous data …

We present two integer programming based heterogeneous CPU–GPU cluster schedulers,
called IPSCHED and AUCSCHED, for the widely used SLURM resource manager. Our …

Torus-connected network is widely used in modern supercomputers due to its linear per
node cost scaling and its competitive overall performance. Job scheduling system plays a …

This paper presents INRFlow, a mature, frugal, flow-level simulation framework for modelling
large-scale networks and computing systems. INRFlow is designed to carry out performance …

Until now, jobs running on HPC clusters were tied to the node where their execution started.
We have removed that limitation by integrating a user-level checkpoint/restart library into a …

This review analyzes deployed and actively used workload schedulers' solutions and
presents a taxonomy in which those systems are divided into several hierarchical groups …

New challenges in Astronomy and Astrophysics (AA) are urging the need for many
exceptionally computationally intensive simulations.“Exascale”(and beyond) computational …