CUDA Powered User-Defined Types and Aggregates

This paper illustrates how CUDA can be successfully integrated into a RDBMS. It describes how heavyweight algebraic calculations can be efficiently performed by RDBMS by utilizing CUDA´s programming model. We focus on the implementationof the complex user data type which is stored and managed by the RDBMS. In addition, we examine practicality of the custom aggregate functions and their performance when applied to CUDA powered user defined data types. We demonstrate this concept by using matrices and their multiplication as an example of a mathematical operation that requires great computational power which can be delivered by CUDA. This presented solution employs Microsoft SQL Server and the .NET platform.