We propose a novel object detection framework for partially-occluded small instances, such
as pedestrians in low resolution surveillance video, cells under a microscope, flocks of small …

Lossy compression is one of the most efficient solutions to reduce storage overhead and
improve I/O performance for HPC applications. However, existing parallel I/O libraries …

Moving toward exascale computing, the size of data stored and accessed by applications is
ever increasing. However, traditional disk-based storage has not seen improvements that …

High performance computing (HPC) architectures have been adding new layers of storage,
such as burst buffers, to tolerate latency between memory and disk-based file systems …

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 …

Small and large scale pandemics are a natural phenomenon repeatably appearing
throughout history, causing ecological and biological shifts in ecosystems and a wide range …

The process of scientific data analysis in high-performance computing environments has
been evolving along with the advancement of computing capabilities. With the onset of …

With the rapid improvement of computation capability in high performance supercomputer
system, the imbalance of performance between computation subsystem and storage …

Emerging high performance computing (HPC) systems are expected to be deployed with an
unprecedented level of complexity due to a deep system memory and storage hierarchy …

Point cloud data (PCD) have attracted attention in many disciplines, including civil
engineering. However, big PCD have posed great challenges for conventional approaches …