The high-performance computing I/O stack has been complex due to multiple software
layers, the inter-dependencies among these layers, and the different performance tuning …

Existing systems for video-based pose estimation and tracking struggle to perform well on
realistic videos with multiple people and often fail to output body-pose trajectories consistent …

Checkpointing distributed HPC applications is a common I/O pattern with many use cases:
resilience, job management, reproducibility, revisiting previous intermediate results, etc. This …

The applications being developed within the US Exascale Computing Project (ECP) to run
on imminent Exascale computers will generate scientific results with unprecedented fidelity …

Emerging high performance computing (HPC) systems are expected to be deployed with an
unprecedented level of complexity due to a deep system memory and storage hierarchy …

In high performance, computing concurrent applications are sharing the same file system.
However, the bandwidth which provides access to the storage is limited. Therefore, too …

Two-phase I/O is a well-known strategy for implementing collective MPI-IO functions. It
redistributes I/O requests among the calling processes into a form that minimizes the file …

In this paper, we seek to guide optimization and tuning strategies by identifying the
application's I/O access pattern. We evaluate three machine learning techniques to …

Understanding the I/O characteristics of supercomputers is crucial for gras** accurate I/O
workloads and uncovering potential I/O inefficiency. We collect and analyze I/O traces from …

With the growing gap between computing power and the ability of large-scale systems to
ingest data, I/O is becoming the bottleneck for many scientific applications. Improving read …