Working sets, cache sizes, and node granularity issues for large-scale multiprocessors
Edward E. Rothberg, Jaswinder Pal Singh, Anoop Gupta · 1993
The distribution of resources among processors, memory and caches is a crucial question faced by designers of large-scale parallel machines. If a machine is to solve problems with a certain data set size, should it be built with a large number of processors each with a small amount of memory, or a smaller number of processors each with a large amount of memory? How much cache memory should be provided per processor for cost-effectiveness? And how do these decisions change as larger problems are run on larger machines?