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Abstract. The power of shared-memory in models of parallel computation is studied, and a novel distributed data structure that eliminates the need for shared memory without significantly increasing the run time of the parallel computation is described. More specifically, it is shown how a complete network of processors can deterministically simulate one PRAM step in O(l~gn(loglogn)~) time when both models use n processors and the size of the PRAM’s shared memory is polynomial in n. (The best previously known upper bound was the trivial O(n)). It is established that this upper bound is nearly optimal, and it is proved that an on-line simulation of T PRAM steps by a complete network of processors requires a ( T(logn/loglogn)) time. A simple consequence of the upper bound is that an Ultracomputer (the currently feasible generalpurpose parallel machine) can simulate one step of a PRAM (the most convenient parallel model to program) in @(log n)210g log n) steps