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 …

In the presence of exponential growth of the data produced every day in volume, velocity,
and variety, online analytical processing (OLAP) is becoming increasingly challenging …

Query co-processing on graphics processors (GPUs) has become an effective means to
improve the performance of main memory databases. However, the relatively low bandwidth …

Architecture designers tend to integrate both CPUs and GPUs on the same chip to deliver
energy-efficient designs. It is still an open problem to effectively leverage the advantages of …

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 …

There has been a growing interest in using GPU to accelerate data analytics due to its
massive parallelism and high memory bandwidth. The main constraint of using GPU for data …

Modern processor technologies have driven new designs and implementations in main-
memory hash joins. Recently, Intel Many Integrated Core (MIC) co-processors (commonly …

Technology limitations are making the use of heterogeneous computing devices much more
than an academic curiosity. In fact, the use of such devices is widely acknowledged to be the …

Graphics Processing Units (GPUs) have evolved as a powerful query co-processor for main
memory On-Line Analytical Processing (OLAP) databases. However, existing GPU-based …

Recently, there have been some emerging processor designs that the CPU and the GPU
(Graphics Processing Unit) are integrated in a single chip and share Last Level Cache …