The performance of hash tables is analyzed in a parallel context. Assuming that a hash table of fixed size is allocated in the shared memory of a PRAM with n processors, a Ph-step is defined as a PRAM computation in which each processor searches or inserts a key in the table. It is shown that the maximum number of table probes needed for a single key in a Ph-step is Omega(log_1/a n) and O(log1/a' n) with high probability, where a and a' are the load factors before and after the execution of the Ph-step. However, a clever implementation of a Ph-step is proposed, which runs in time O((log_1/a' n)^1/2) with high probability. The algorithm exploits the fact that operations relative to different keys have different durations; hence, the processors in charge of shorter operations, once finished, are used to perform part of the longer ones.
Analysis and Implementation of Parallel Uniform Hashing
PIETRACAPRINA, ANDREA ALBERTO;PUCCI, GEPPINO
1990
Abstract
The performance of hash tables is analyzed in a parallel context. Assuming that a hash table of fixed size is allocated in the shared memory of a PRAM with n processors, a Ph-step is defined as a PRAM computation in which each processor searches or inserts a key in the table. It is shown that the maximum number of table probes needed for a single key in a Ph-step is Omega(log_1/a n) and O(log1/a' n) with high probability, where a and a' are the load factors before and after the execution of the Ph-step. However, a clever implementation of a Ph-step is proposed, which runs in time O((log_1/a' n)^1/2) with high probability. The algorithm exploits the fact that operations relative to different keys have different durations; hence, the processors in charge of shorter operations, once finished, are used to perform part of the longer ones.
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