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 …

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

Graphs are common data structures for many applications, and efficient graph processing is
a must for application performance. Recently, the graphics processing unit (GPU) has been …

Prior work has shown dramatic acceleration for various database operations on GPUs, but
only using primitives that are not part of conventional database languages such as SQL …

GPUs have long been discussed as accelerators for database query processing because of
their high processing power and memory bandwidth. However, two main challenges limit the …

Computer systems increasingly rely on heterogeneity to achieve greater performance,
scalability and energy efficiency. Because heterogeneous systems typically comprise …

Database community has made significant research efforts to optimize query processing on
GPUs in the past few years. However, we can hardly find that GPUs have been truly adopted …

Modern servers have become heterogeneous, often combining multi-core CPUs with many-
core GPGPUs. Such heterogeneous architectures have the potential to improve the …

Until recently, the use of graphics processing units (GPUs) for query processing was limited
by the amount of memory on the graphics card, a few gigabytes at best. Moreover, input …

In-memory databases require careful tuning and many engineering tricks to achieve good
performance. Such database performance engineering is hard: a plethora of data and …