The success of machine learning has prospered Machine-Learning-as-a-Service (MLaaS)-
deploying trained machine learning (ML) models in cloud to provide low latency inference …

On current large-scale HPC platforms the data path from compute nodes to final storage
passes through several networks interconnecting a distributed hierarchy of nodes serving as …

I/O data access is a recognized performance bottleneck of high-end computing. Several
commercial and research parallel file systems have been developed in recent years to ease …

Parallel file subsystems in today's high-performance computers adopt many I/O optimization
strategies that were designed for distributed systems. These strategies, for instance client …

Client-side file caching has long been recognized as a file system enhancement to reduce
the amount of data transfer between application processes and I/O servers. However …

Parallel applications currently suffer from a significant imbalance between computational
power and available I/O bandwidth. Additionally, the hierarchical organization of current …

This paper presents the design and implementation of a new file system independent
collective I/O optimization based on file views: view-based collective I/O. View-based …

Distributed applications, especially the ones being I/O intensive, often access the storage
subsystem in a nonsequential way (stride requests). Since such behaviours lower the …

This work presents an optimization of MPI communications, called Dynamic-CoMPI, which
uses two techniques in order to reduce the impact of communications and non-contiguous …

The MPI-IO standard creates a huge opportunity to break out of the traditional file system I/O
methods. As a software layer between the user and the file system, an MPI-IO library can …