Today's top high performance computing systems run applications with hundreds of
thousands of processes, contain hundreds of storage nodes, and must meet massive I/O …

There is growing concern that I/O systems will be hard pressed to satisfy the requirements of
future leadership-class machines. Even current machines are found to be I/O bound for …

Parallel I/O plays a crucial role for most data-intensive applications running on massively
parallel systems like Blue Gene/L that provides the promise of delivering enormous …

I/O is the critical bottleneck for data-intensive scientific applications on HPC systems and
leadership-class machines. Applications running on these systems may encounter …

The modest I/O configurations and file system limitations of many current high-performance
systems preclude solution of problems with large I/O needs. I/O hardware and file system …

The I/O subsystem for the Summit supercomputer, No. 1 on the Top500 list, and its
ecosystem of analysis platforms is composed of two distinct layers, namely the in-system …

A critical but often ignored component of system performance is the I/O system. Today's
applications demand a great deal from underlying storage systems and software, and both …

Applications running on leadership platforms are more and more bottlenecked by storage
input/output (I/O). In an effort to combat the increasing disparity between I/O throughput and …

Current leadership-class machines suffer from a significant imbalance between their
computational power and their I/O bandwidth. I/O forwarding is a paradigm that attempts to …

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 …