Contention resolution in hashing based shared memory simulations
In this paper we study the problem of simulating shared memory on the distributed memory machine (DMM). Our approach uses multiple copies of shared memory cells, distributed among the memory modules of the DMM via universal hashing. The main aim is to design strategies that resolve contention at the memory modules. Extending results and methods from random graphs and very fast randomized algorithms, we present new simulation techniques that enable us to improve the previously best results exponentially. In particular, we show that an n-processor CRCW PRAM can be simulated by an n-processor DMM with delay O(log log log n log* n), with high probability. Next we describe a general technique that can be used to turn these simulations into time-processor optimal ones, in the case of EREW PRAMs to be simulated. We obtain a time-processor optimal simulation of an (n log log log n log* n)-processor EREW PRAM on an n-processor DMM with delay O( log log log n log* n), with high probability. When an (n log log log n log* n)-processor CRCW PRAM is simulated, the delay is only by a log* n factor larger. We further demonstrate that the simulations presented can not be significantly improved using our techniques. We show an Omega(log log log n/log log log log n) lower bound on the expected delay for a class of PRAM simulations, called topological simulations, that covers all previously known simulations as well as the simulations presented in the paper.
hashing distributed memory machine pram randomized shared memory simulations