Due to their high computational power and internal memory bandwidth, graphic processing
units (GPUs) have been extensively studied by the database systems research community …

Stream processing has been an active research field for more than 20 years, but it is now
witnessing its prime time due to recent successful efforts by the research community and …

With the development of computer architecture, even for embedded systems, GPU devices
can be integrated, providing outstanding performance and energy efficiency to meet the …

Joining streams is an essential and resource-demanding operation in stream processing
engines (SPEs). Recent works have shown significant performance benefits by offloading …

The metaverse has recently gained increasing attention from the public. It builds up a virtual
world where we can live as a new role regardless of the role we play in the physical world …

Stream processing prevails and SQL query on streams has become one of the most popular
application scenarios. For example, in 2021, the global number of active IoT endpoints …

Text analytics directly on compression (TADOC) has proven to be a promising technology for
big data analytics. GPUs are extremely popular accelerators for data analytics systems …

Nowadays, we are witnessing the diffusion of Stream Processing Systems (SPSs) able to
analyze data streams in near realtime. Traditional SPSs like Storm and Flink target …

Huge amounts of data have been generated on edge devices every day, which requires
efficient data analytics and management. However, due to the limited computing capacity of …

Exploring the sharing opportunities among multiple stream queries is crucial for high-
performance stream processing. Modern stream processing necessitates accelerating …