Massively parallel computers are increasingly being used to solve large, I/O intensive
applications in many different fields. For such applications, the I/O requirements quite often …

Collective I/O is a widely used technique to improve I/O performance in parallel computing. It
can be implemented as a client-based or as a server-based scheme. The client-based …

Presents the design and evaluation of MTIO (Multi-Threaded Input/Output), a multi-threaded
runtime library for parallel I/O. We extend the multi-threading concept to separate the …

In this paper, we evaluate the impact on performance of various implementation techniques
for collective I/O operations, and we do so across four important parallel architectures. We …

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 …

Collective operations are an important aspect of the currently most important message-
passing programming model MPI (message passing interface). Many MPI applications make …

The non-contiguous access pattern of many scientific applications results in a large number
of I/O requests, which can seriously limit the data-access performance. Collective I/O has …

MPI collective I/O is a widely used I/O method that helps data-intensive scientific applications
gain better I/O performance. However, it has been observed that existing collective I/O …

I/O performance is vital for most HPC applications especially those that generate a vast
amount of data with the growth of scale. Many studies have shown that scientific applications …

Collective I/O orchestrates I/O from parallel processes by aggregating fine-grained requests
into large ones. However, its performance is typically a fraction of the potential I/O bandwidth …