We present ADIOS 2, the latest version of the Adaptable Input Output (I/O) System. ADIOS 2
addresses scientific data management needs ranging from scalable I/O in supercomputers …

The largest-scale high-performance (HPC) systems are stretching parallel file systems to
their limits in terms of aggregate bandwidth and numbers of clients. To further sustain the …

Computational science applications are driving a demand for increasingly powerful storage
systems. While many techniques are available for capturing the I/O behavior of individual …

The growing size of modern storage systems is expected to exceed billions of objects,
making metadata scalability critical to overall performance. Many existing distributed file …

How can unlabeled video augment visual learning? Existing methods perform" slow" feature
analysis, encouraging temporal coherence, where the image representations of temporally …

Unmatched computation and storage performance in new HPC systems have led to a
plethora of I/O optimizations ranging from application-side collective I/O to network and disk …

We present an auto-tuning system for optimizing I/O performance of HDF5 applications and
demonstrate its value across platforms, applications, and at scale. The system uses a …

A significant percentage of the computing capacity of large-scale platforms is wasted
because of interferences incurred by multiple applications that access a shared parallel file …

Contemporary high-performance computing (HPC) applications encompass a broad range
of distinct I/O strategies and are often executed on a number of different compute platforms …

Supercomputer I/O loads are often dominated by writes. HPC (High Performance
Computing) file systems are designed to absorb these bursty outputs at high bandwidth …