In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

The Internet of Things (IoT) envisions a world-wide, interconnected network of smart
physical entities. These physical entities generate a large amount of data in operation, and …

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 …

Traditionally, the data plane has been designed with fixed functions to forward packets using
a small set of protocols. This closed-design paradigm has limited the capability of the …

Modern GPU datacenters are critical for delivering Deep Learning (DL) models and services
in both the research community and industry. When operating a datacenter, optimization of …

With the rapid growth of the Internet, human daily life has become deeply bound to the
Internet. To take advantage of massive amounts of data and information on the internet, the …

The anomalies of microservice invocation traces (traces) often indicate that the quality of the
microservice-based large software service is being impaired. However, timely and …

The Hadoop Distributed File System (HDFS) is designed to store very large data sets
reliably, and to stream those data sets at high bandwidth to user applications. In a large …

Data-intensive queries are common in business intelligence, data warehousing and
analytics applications. Typically, processing a query involves full inspection of large in …

Facebook's corpus of photos, videos, and other Binary Large OBjects (BLOBs) that need to
be reliably stored and quickly accessible is massive and continues to grow. As the footprint …