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City-wide GPS recorded taxi trip data contains rich information for traffic and travel analysis to facilitate transportation planning and urban studies. However, traditional data management techniques are largely incapable of processing big taxi trip data at the scale of hundreds of millions. In this study, we aim at utilizing the General Purpose computing on Graphics Processing Units (GPGPUs) technologies to speed up processing complex spatial queries on big taxi data on inexpensive commoditydoi:10.1109/bigdata.congress.2014.20 dblp:conf/bigdata/ZhangYG14 fatcat:gvakasmfmfdazhxiaqwredb73a