This paper by Govindaraju et al. describes new algorithms for performing fast computation of several common database operations on commodity graphics processors. Specifically, the paper considers operations such as conjunctive selections, aggregations, and semi-linear queries, which are essential computational components of typical database, data warehousing, and data mining applications. The proposed algorithms take into account some of the limitations of the programming model of current GPUs and perform no data rearrangements. These algorithms have been implemented on a programmable GPU (e.g. NVIDIA’s GeForce FX 5900) and applied to databases consisting of up to a million records. The paper compares their performance with an optimized CPU-based implementation. The experiments indicate that the graphics processor available on commodity computer systems is an effective coprocessor for performing database operations. (Fast Database Operations using Graphics Processors. Naga K. Govindaraju, Brandon Lloyd, Wei Wang, Ming C. Lin, Dinesh Manocha to appear at SIGMOD 2004.)