Hash table in massively parallel systems

The authors look at the performance and new collision resolution strategies for hash tables in massively parallel systems. The results show that using a hash table with linear probing yields O(log N) time performance for handling M accesses by N processors when the load factor of the table is 50%, where N is the size of the hash table. This is better than the performance of using sorted arrays. Two phase hashing gives an average time complexity O(logN) for M simultaneous accesses to a hash table of size N even when the table has 100% load. Simulation results also show that hypercube hashing significantly outperforms linear probing and double hashing