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 …

Key-value stores are a vital component in many scale-out enterprises, including social
networks, online retail, and risk analysis. Accordingly, they are receiving increased attention …

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 …

Emerging workloads such as artificial intelligence, big data analytics and complex multi-step
workflows alongside future exascale applications are anticipated future HPC workloads …

In order to track all persons in a scene, the tracking-by-detection paradigm has proven to be
a very effective approach. Yet, relying solely on a single detector is also a major limitation …

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 …

MPI is the most prominent programming model used in scientific computing today. Despite
the importance of MPI, however, how scientific computing applications use it in production is …

We examine the I/O behavior of thousands of supercomputing applications" in the wild," by
analyzing the Darshan logs of over a million jobs representing a combined total of six years …

Parallel File Systems (PFSs) are frequently deployed on leadership High Performance
Computing (HPC) systems to ensure efficient I/O, persistent storage and scalable …

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 …