OMNIDB towards portable and efficient query processing on parallel CPU/GPU architectures

• Main Author: Zhang, Shuhao
• Other Authors: He Bingsheng
• Format: Final Year Project
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: http://hdl.handle.net/10356/55094
• Institution: Nanyang Technological University

Driven by the rapid hardware development of parallel CPU/GPU architectures, we have witnessed emerging relational query processing techniques and implemen- tations on those parallel architectures. However, most of those implementations are not portable across di erent architectures, because they are usually devel- oped from scratch and target at a speci c architecture. This project proposes a kernel-adapter based design (OmniDB), a portable yet e cient query processor on parallel CPU/GPU architectures. OmniDB attempts to develop an extensible query processing kernel (qKernel) based on an abstract model for parallel archi- tectures, and to leverage an architecture-speci c layer (adapter) to make qKernel be aware of the target architecture. The goal of OmniDB is to maximize the com- mon functionality in qKernel so that the development and maintenance e orts for adapters are minimized across di erent architectures. In this project, we demon- strate our initial e orts in implementing OmniDB, and present the preliminary results on the portability and e ciency.