While FPGAs have seen prior use in database systems, in recent years interest in using
FPGA to accelerate databases has declined in both industry and academia for the following …

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

\beginabstract The trend in the DBMS market is to migrate to the cloud for elasticity, high
availability, and lower costs. The traditional, monolithic database architecture is difficult to …

Complex data queries, because of their need for random accesses, have proven to be slow
unless all the data can be accommodated in DRAM. There are many domains, such as …

Big data applications often incur large costs in I/O, data transfer and copying overhead,
especially when operating in cloud environments. Since most such computations are …

Modern data center solid state drives (SSDs) integrate multiple general-purpose embedded
cores to manage flash translation layer, garbage collection, wear-leveling, and etc., to …

We present INSIDER, a full-stack redesigned storage system to help users fully utilize the
performance of emerging storage drives with moderate programming efforts. On the …

This paper reports the deployment of computational storage drives in Alibaba Cloud, aiming
to enable cloud-native relational database cost-effectively support analytical workloads. With …

Cloud deployments disaggregate storage from compute, providing more flexibility to both the
storage and compute layers. In this paper, we explore disaggregation by taking it one step …

The ever increasing amount of data being handled in data centers causes an intrinsic
inefficiency: moving data around is expensive in terms of bandwidth, latency, and power …