The year 2011 marked an important transition for FPGA high-level synthesis (HLS), as it
went from prototy** to deployment. A decade later, in this article, we assess the progress …

In this article, we survey existing academic and commercial efforts to provide Field-
Programmable Gate Array (FPGA) acceleration in datacenters and the cloud. The goal is a …

Vector search has emerged as the foundation for large-scale information retrieval and
machine learning systems, with search engines like Google and Bing processing tens of …

Private Information Retrieval (PIR) plays a vital role in secure, database-centric applications.
However, existing PIR protocols explore a massive working space containing hundreds of …

Sorting data is needed in many application domains. Traditionally, the data is read from
memory and sent to a general-purpose processor or application-specific hardware for …

As the size of data generated every day grows dramatically, the computational bottleneck of
computer systems has shifted toward storage devices. The interface between the storage …

Software and hardware development cycles have traditionally been quite distinct. Software
allows post-deployment patches, which leads to a rapid development cycle. In contrast …

Approximate nearest neighbor search (ANNS) is a key retrieval technique for vector
database and many data center applications, such as person re-identification and …

The von Neumann bottleneck is imposed due to the explosion of data transfers and
emerging data-intensive applications in heterogeneous system architectures. The …

Deep learning-based recommendation systems are extensively deployed in numerous
internet services, including social media, entertainment services, and search engines, to …