Finding the kth-largest value in a list of n values is a well-studied problem for which many algorithms have been proposed. A naïve approach is to sort the list and then simply select the kth term in the sorted list. However, when the sorted list is not needed, this method does quite a bit of unnecessary work. Although sorting can be accomplished efficiently when working with a graphics processing unit (GPU), this article proposes two GPU algorithms, radixSelect and bucketSelect, which are several times faster than sorting the vector. As the problem size grows so does the time savings of these algorithms with a sixfold speed-up over GPU sorting for float vectors larger than 2 24 and for double vectors larger than 2 20 , ultimately reaching a 19.1 times speed-up for double vectors of length 2 28 .