In computer science, a parallel random-access machine (parallel RAM or PRAM) is a shared-memory abstract machine. As its name indicates, the PRAM is intended as the parallel-computing analogy to the random-access machine (RAM) (not to be confused with random-access memory). In the same way that the RAM is used by sequential-algorithm designers to model algorithmic performance (such as time complexity), the PRAM is used by parallel-algorithm designers to model parallel algorithmic performance (such as time complexity, where the number of processors assumed is typically also stated). Similar to the way in which the RAM model neglects practical issues, such as access time to cache memory versus main memory, the PRAM model neglects such issues as synchronization and communication, but provides any (problem-size-dependent) number of processors. Algorithm cost, for instance, is estimated using two parameters O(time) and O(time × processor_number).
Eppstein, David; Galil, Zvi (1988), "Parallel algorithmic techniques for combinatorial computation",
Annu. Rev. Comput. Sci.,
3:
233–283,
doi:
10.1146/annurev.cs.03.060188.001313
Keller, Jörg; Christoph Keßler; Jesper Träff (2001). Practical PRAM Programming. John Wiley and Sons. ISBN 0-471-35351-5.
Caragea, George Constantin; Vishkin, Uzi (2011), "Brief announcement: Better speedups for parallel max-flow", Proceedings of the 23rd ACM symposium on Parallelism in algorithms and architectures - SPAA '11, p. 131, doi:10.1145/1989493.1989511, ISBN 9781450307437, S2CID 5511743