Workload characterization is an integral part of performance analysis of high performance
computing (HPC) systems. An understanding of workload properties sheds light on resource …

At present, I/O performance analysis requires different tools to characterize individual
components of the I/O subsystem, and institutional I/O expertise is relied upon to translate …

In this work we examine how the updates addressing Meltdown and Spectre vulnerabilities
impact the performance of HPC applications. To study this we use the application kernel …

The engineering samples of the NVIDIA Grace CPU Superchip and NVIDIA Grace Hopper
Superchips were tested using different benchmarks and scientific applications. The …

A set of benchmarks, including numerical libraries and real-world scientific applications,
were run on several modern ARM systems (Amazon Graviton 3/2, Futjutsu A64FX, Ampere …

Machine learning techniques were applied to job accounting and performance data for
application classification. Job data were accumulated using the XDMoD monitoring …

In this investigation, we study how application performance is affected when jobs are
permitted to share compute nodes. A series of application kernels consisting of a diverse set …

The landscape of high performance computing (HPC) has witnessed exponential growth in
processor diversity, architectural complexity, and performance scalability. With an ever …

Abstract The US National Science Foundation (NSF) has invested heavily in research
computing, funding the XSEDE network of supercomputers and enabling their integration …

The XD Metrics on Demand (XDMoD) tool was designed to collect and present detailed
utilization data from the XSEDE network of supercomputers. XDMoD displays a wealth of …