CoGaDB–Column-oriented GPU-accelerated DBMS

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CoGaDB is a column-oriented GPU-accelerated database management system developed at TU Dortmund University and University of Magdeburg. Its purpose is to investigate advanced coprocessing techniques for effective GPU utilization during database query processing. It utilizes our hybrid query processing engine (HyPE) for the physical optimization process.

Overview

CoGaDB’s main purpose is to investigate a GPU-aware database architecture to achieve optimal performance of DBMS on hybrid CPU/GPU platforms. We are currently working on a architecture proposal and try to benefit from past experiences of hybrid CPU/GPU DBMS. Therefore, CoGaDB provides an extensible architecture to enable researchers an easy integration of their GPU-accelerated operators, coprocessing techniques and query optimization heuristics.