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<p><b>Abstract</b>—The increasing hardware complexity of dynamically scheduled superscalar processors may compromise the scalability of this organization to make an efficient use of future increases in transistor budget. SMT processors, designed over a superscalar core, are therefore directly concerned by this problem. This work presents and evaluates a novel processor microarchitecture which combines two paradigms: simultaneous multithreading and access/execute decoupling. Since its decoupled units issue instructions in-order, this architecture is significantly less complex, in terms of critical path delays, than a centralized out-of-order design, and it is more effective for future growth in issue-width and clock speed. We investigate how both techniques complement each other. Since decoupling features an excellent memory latency hiding efficiency, the large amount of parallelism exploited by multithreading may be used to hide the latency of functional units and keep them fully utilized. Our study shows that, by adding decoupling to a multithreaded architecture, fewer threads are needed to achieve maximum throughput. Therefore, in addition to the obvious hardware complexity reduction, it places lower demands on the memory system. Since one of the problems of multithreading is the degradation of the memory system performance, both in terms of miss latency and bandwidth requirements, this improvement becomes critical for high miss latencies, where bandwidth might become a bottleneck. Finally, although it may seem rather surprising, our study reveals that multithreading by itself exhibits little memory latency tolerance. Our results suggest that most of the latency hiding effectiveness of SMT architectures comes from the dynamic scheduling. On the other hand, decoupling is very effective at hiding memory latency. An increase in the cache miss penalty from 1 to 32 cycles reduces the performance of a 4-context multithreaded decoupled processor by less than 2 percent. For the nondecoupled multithreaded processor, the loss of performance is about 23 percent.</p>
Access/execute decoupling, simultaneous multithreading, latency hiding, instruction-level parallelism, hardware complexity.
Joan-Manuel Parcerisa, Antonio González, "Improving Latency Tolerance of Multithreading through Decoupling", IEEE Transactions on Computers, vol. 50, no. , pp. 1084-1094, October 2001, doi:10.1109/12.956093
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