2 papers
cs.DC2023
PADLL: Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control
Ricardo Macedo, Mariana Miranda, Yusuke Tanimura +6
Modern I/O applications that run on HPC infrastructures are increasingly becoming read and metadata intensive. However, having multiple concurrent applications submitting large amo…
cs.DC2018
Student Cluster Competition 2017, Team University ofTexas at Austin/Texas State University: Reproducing Vectorization of the Tersoff Multi-Body Potential on the Intel Skylake and NVIDIA V100 Architectures
James Sullivan, Collin Weir, Austin Reichert +3
This paper satisfies the reproducibility challenge of the Student Cluster Competition at Supercomputing 2017. We attempted to reproduce the results of Höhnerbach et al. (2016) for…