Performance, and Performance Evaluation.

The objective of this paper is to develop models that characterize the memory and communication performance of shared-memory multiprocessors which is crucial for developing efficient parallel applications for them. The Convex SPP–1000, a modern scalable distributed-memory multiprocessor that supports the shared-memory programming paradigm, is used throughout as a case study. The paper evaluates and models four aspects of SPP–1000 performance: scheduling, local-memory, shared-memory, and synchronization. Our evaluation and modeling are intended to supply useful information for application and compiler development.