Datacenter workloads demand high computational capabilities, flexibility, power efficiency,
and low cost. It is challenging to improve all of these factors simultaneously. To advance …

To advance datacenter capabilities beyond what commodity server designs can provide, the
authors designed and built a composable, reconfigurable fabric to accelerate large-scale …

Learning-to-rank is one of the learning frameworks in machine learning and it aims to
organize the objects in a particular order according to their preference, relevance or ranking …

Datacenter workloads demand high computational capabilities, flexibility, power efficiency,
and low cost. It is challenging to improve all of these factors simultaneously. To advance …

Inverted index serves as a fundamental data structure for efficient search across various
applications such as full-text search engine, document analytics and other information …

Traditional cloud service providers build large data-centers with a huge number of
connected commodity computers to meet the ever-growing demand on performance …

Search is one of the most popular and important web services. The inverted index is the
standard data structure adopted by most full-text search engines. Recently, custom …

Due to the exponential increase in network traffic in the data centers, thousands of servers
interconnected with high bandwidth switches are required. Field Programmable Gate Arrays …

As video games received rapidly increasing attention, modern video games are often
concerned with security and privacy issues. Many such video games and game console …

Detecting duplicate and near-duplicate documents is critical in applications like Web
crawling since it helps save document processing resources. Simhash is a state-of-art …