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 …

Despite efforts to integrate research across different subdisciplines of biology, the scale of
integration remains limited. We hypothesize that future generations of Artificial Intelligence …

Monitoring and analyzing I/O behaviors is critical to the efficient utilization of parallel storage
systems. Unfortunately, with increasing I/O requirements and resource contention, I/O …

Many HPC applications perform their I/O in bursts that follow a periodic pattern. This allows
for making predictions as to when a burst occurs. System providers can take advantage of …

Learning and Artificial Intelligence (ML/AI) techniques have become increasingly prevalent
in high performance computing (HPC). However, these methods depend on vast volumes of …

Providing a high-quality performance prediction has the potential to enhance various
aspects of a cluster, such as devising scheduling and provisioning policies, guiding …

Object cloud storage systems are deployed with diverse applications that have varying
latency service level objectives (SLOs), posting challenges for supporting quality of service …

Understanding and alleviating I/O bottlenecks in HPC system workloads is difficult due to the
complex, multilayered nature of HPC I/O subsystems. Even with full visibility into the jobs …

Manufacturers have been developing new graphics processing unit (GPU) nodes with large
capacity, high bandwidth memory and very high bandwidth intra-node interconnects. This …

Modern high-performance computing (HPC) and cloud computing systems are integrating
powerful GPUs to accelerate increasingly demanding deep learning workloads. To improve …