The development of cloud infrastructures inspires the emergence of cloud-native computing.
As the most promising architecture for deploying microservices, serverless computing has …

The CUDA programming model provides a straightforward means of describing inherently
parallel computations, and NVIDIA's Tesla GPU architecture delivers high computational …

We design and implement Mars, a MapReduce framework, on graphics processors (GPUs).
MapReduce is a distributed programming framework originally proposed by Google for the …

Join is an important database operation. As computer architectures evolve, the best join
algorithm may change hand. This paper re-examines two popular join algorithms--hash join …

Graphics processors (GPUs) have recently emerged as powerful coprocessors for general
purpose computation. Compared with commodity CPUs, GPUs have an order of magnitude …

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 …

We propose a new set of OS abstractions to support GPUs and other accelerator devices as
first class computing resources. These new abstractions, collectively called the PTask API …

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

Modern data appliances face severe bandwidth bottlenecks when moving vast amounts of
data from storage to the query processing nodes. A possible solution to mitigate these …

Two emerging hardware trends will dominate the database system technology in the near
future: increasing main memory capacities of several TB per server and massively parallel …