CONTINUOUS OPTIMIZATION OF AN SMA PROCESSOR

Speculative multithread architecture （SMA） combines both benefits of speculative execution and multithreading architecture. Performance factors are discussed in this paper. In the SMA model, there are three key factors: contexts load imbalance, inter-thread control speculation failure, and inter-thread data speculation failure. To achieve high instruction level parallelism, some optimization heuristic rules are introduced with emphasis on the design of per-thread dynamic profiling mechanism. An optimization framework prototype is built on the basis of those heuristic rules and mechanisms. Benchmark simulation of SMA optimization framework shows the satisfying results.