Existing systems for video-based pose estimation and tracking struggle to perform well on
realistic videos with multiple people and often fail to output body-pose trajectories consistent …

Remote Direct Memory Access (RDMA) based network devices are increasingly being
deployed in modern data centers. RDMA brings significant performance improvements over …

Abstract The Joint Laboratory for Extreme-Scale Computing (JLESC) focuses on software
challenges in high-performance computing systems to meet the needs of today's science …

Retrieving images from large and varied collections using image content as a key is a
challenging and important problem. In this paper we present a new image representation …

The global scale and challenging requirements of modern cloud applications have led to the
development of complex, widely distributed, service-oriented applications. One enabler of …

In the past few decades, a number of user-level threading and tasking models have been
proposed in the literature to address the shortcomings of OS-level threads, primarily with …

Technology enhancements and the growing breadth of application workflows running on
high-performance computing (HPC) platforms drive the development of new data services …

The DOE Extreme-Scale Technology Acceleration Fast Forward Storage and IO Stack
project is going to have significant impact on storage systems design within and beyond the …

Large-scale high-performance computing (HPC) systems consist of massive compute and
memory resources tightly coupled in nodes. We perform a large-scale study of memory …

We present GekkoFS, a temporary, highly-scalable burst buffer file system which has been
specifically optimized for new access patterns of data-intensive High-Performance …