Real-time parallel hashing on the GPU
ACM SIGGRAPH Asia 2009 papers
| Hi-index | 0.01 |
A hash table is a representation of a set in a linear size data structure that supports constant-time membership queries. We show how to construct a hash table for any given set of n keys in O(lg lg n) parallel time with high probability, using n processors on a weak version of a concurrent-read concurrent-write parallel random access machine (crcw pram). Our algorithm uses a novel approach of hashing by "oblivious execution" based on probabilistic analysis. The algorithm is simple and has the following structure: Partition the input set into buckets by a random polynomial of constant degree. For t:= 1 to O(lg lg n) do Allocate Mt memory blocks, each of size Kt. Let each bucket select a block at random, and try to injectively map its keys into the block using a random linear function. Buckets that fail carry on to the next iteration. The crux of the algorithm is a careful a priori selection of the parameters Mt and Kt. The algorithm uses only O(lg lg n) random words and can be implemented in a work-efficient manner.