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 …

The vast amount of processing power and memory bandwidth provided by modern graphics
cards make them an interesting platform for data-intensive applications. Unsurprisingly, the …

GPU acceleration is a promising approach to speed up query processing of database
systems by using low cost graphic processors as coprocessors. Two major trends have …

Data is evolving and the number of existing data sources is vastly growing. Therefore, there
is a compelling need for effective techniques to store, retrieve and process such massive …

The vast amount of processing power and memory bandwidth provided by modern graphics
cards make them an interesting platform for data-intensive applications. Unsurprisingly, the …

Inexpensive DRAMs have created new opportunities for in-memory data analytics. However,
the major bottleneck in such systems is high memory access latency. Traditionally, this …

In online analytical processing (OLAP), filtering elements of a given dimensional attribute
according to the value of a measure attribute is an essential operation, for example in top-k …

Advancements in hardware changed the bottleneck of modern database systems from disk
IO to main memory access and processing power. Since the performance of modern …

As the base of the software stack, system-level software is expected to provide efficient and
scalable storage, communication, security and resource management functionalities …

With the advancement of processor technology, numerous hardware accelerators beyond
CPUs and GPUs are emerging to meet the rapid growth in computation demands …