Supplemental Material

Description and Overview

CoGaDB is a prototype of a column-oriented GPU-accelerated database management system developed at the University of Magdeburg. Its purpose is to investigate advanced coprocessing techniques for effective GPUs utilization during database query processing. It utilizes our hybrid query processing engine (HyPE) for the physical optimization process. CoGaDB's main purpose is to investigate a GPU-aware database architecture to achieve optimal performance of DBMS on hybrid CPU/GPU platforms. Therefore, CoGaDB provides an extensible architecture to enable researchers an easy integration of their GPU-accelerated operators, coprocessing techniques and query optimization heuristics. Note that CoGaDB assumes that the complete database can be kept in main memory, because GPU-acceleration is not beneficial for workloads where disk I/O is the dominating factor.

Supplemental Material for paper submitted to Data and Knowledge Engineering Journal:
Load-Aware Inter-Co-Processor Parallelism in Database Query Processing

Source Code

You can download here the version of CoGaDB, which we used for our experiments. CoGaDB is released under the GPL v3 License. You can find installation instructions, tutorials and documentation of the current version here.

Supplemental Material for paper submitted to IMDM 2014:
Database Scan Variants on Modern CPUs: A Performance Study

Source Code

You can download here the version of CoGaDB, which we used for our experiments. CoGaDB is released under the GPL v3 License. You can find installation instructions, tutorials and documentation of the current version here.

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