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 …

We present a comprehensive survey on parallel I/O in the high-performance computing
(HPC) context. This is an important field for HPC because of the historic gap between …

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 …

Burst buffers are becoming an indispensable hardware resource on large-scale
supercomputers to buffer the bursty I/O from scientific applications. However, there is a lack …

Deduplication is a storage saving technique that is highly successful in enterprise backup
environments. On a file system, a single data block might be stored multiple times across …

Data staging and in-situ workflows are being explored extensively as an approach to
address data-related costs at very large scales. However, the impact of emerging storage …

Analysis of large-scale simulation output is a core element of scientific inquiry, but analysis
queries may experience significant I/O overhead when the data is not structured for efficient …

Recent studies have shown that moderate to high data redundancy exists in primary storage
systems, such as VM-based, enterprise and HPC storage systems, which indicates that the …

As applications target extreme scales, data staging and in-situ/in-transit data processing
have been proposed to address the data challenges and improve scientific discovery …

With the increasing utilization and popularity of the cloud infrastructure, more and more data
are moved to the cloud storage systems. This makes the availability of cloud storage …