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Multiple core designs have become commonplace in the processor market, and are hence a major focus in modern computer architecture research. Thus, for both product development and research, multiple core processor simulation environments are necessary. A well-known positive feedback property of computer design is that we use today's computers to design tomorrow's. Thus, with the emergence of chip multiprocessors, it is natural to re-examine simulation environments written to exploit parallelism. In this paper we present a programming methodology for directly converting existing uniprocessor simulators into parallelized multiple-core simulators. Our method not only takes significantly less development effort compared to some prior used programming techniques, but also possesses advantages by retaining a modular and comprehensible programming structure. We demonstrate our case with actual developed products after applying this method to two different simulators, one developed from IBM Ibrandot and the other from the SimpleScalar tool set. Our SimpleScalar-based framework achieves a parallel speedup of 2.2times on a dual-CPU dual-core (4-way) Opteron server
Multicore processing, Object oriented modeling, Computational modeling, Computer architecture, Parallel programming, Computer simulation, Feedback, Parallel processing, Product development, Process planning

"An Efficient, Practical Parallelization Methodology for Multicore Architecture Simulation," in IEEE Computer Architecture Letters, vol. 5, no. 2, pp. 14, 2007.
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