Currently, the world is witnessing a mounting avalanche of data due to the increasing
number of mobile network subscribers, Internet websites, and online services. This trend is …

Modern software development and operations rely on monitoring to understand how
systems behave in production. The data provided by application logs and runtime …

Large-scale applications typically spend a large fraction of their execution time performing
I/O to a parallel storage system. However, with rapid progress in compute and storage …

I/O performance is a critical aspect of data-intensive scientific computing. We seek to
advance the state of the practice in understanding and diagnosing I/O performance issues …

Large-scale high-performance computing (HPC) applications running on supercomputers
produce large amounts of data routinely and store it in files on multi-PB shared parallel …

Emerging workloads such as artificial intelligence, big data analytics and complex multi-step
workflows alongside future exascale applications are anticipated future HPC workloads …

This paper presents, a log analytics platform with near-storage accelerators for high-
performance, cost-and power-efficient unstructured log processing. offloads log analytics …

The dawn of exascale computing and its convergence with big data analytics has greatly
spurred research interests. The reasons are straightforward. Traditionally, high performance …

Reliability, availability and serviceability (RAS) logs of high performance computing (HPC)
resources, when closely investigated in spatial and temporal dimensions, can provide …

In response to the demand for higher computational power, the number of computing nodes
in high performance computers (HPC) increases rapidly. Exascale HPC systems are …