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This paper discusses some of the issues involved in implementing a shared-address space programming model on large-scale, distributed-memory multiprocessors. While such a programming model can be implemented on both shared-memory and messagepassing architectures, we argue that the transparent, coherent caching of global data provided by many shared-memory architectures is of crucial importance. Because message-passing mechanisms are much more efficient than shared-memory loads and stores fordoi:10.1145/173284.155338 fatcat:dipn6mfrc5aupi2cwgy7jxdbdy