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A Case for Resource-Conscious Out-of-Order Processors: Towards Kilo-Instruction In-Flight Processors

机译:资源敏感型无序处理器的案例:面向千指令飞行中处理器

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Modern out-of-order processors tolerate long-latency memory operations by supporting a large number of inflight instructions. This is achieved in part through proper sizing of critical resources, such as register files or instruction queues. In light of the increasing gap between processor speed and memory latency, tolerating upcoming latencies in this way would require impractical sizes of such critical resources. To tackle this scalability problem, we make a case for resource-conscious out-of-order processors. We present quantitative evidence that critical resources are increasingly underutilized in these processors. We advocate that better use of such resources should be a priority in future research in processor architectures. In particular, we present some of our research having such observations as a basis to deal with future resource conscious processors.
机译:现代无序处理器通过支持大量的运行中指令来容忍长时延存储操作。这部分是通过适当调整关键资源(例如寄存器文件或指令队列)的大小来实现的。鉴于处理器速度和内存延迟之间的差距越来越大,以这种方式容忍即将到来的延迟将需要不切实际的此类关键资源大小。为了解决此可伸缩性问题,我们为有资源意识的无序处理器提供了理由。我们提供了定量的证据,表明这些处理器中关键资源的利用率越来越低。我们主张,在处理器体系结构的未来研究中,应优先使用此类资源。特别是,我们提出了一些具有此类观察结果的研究作为应对未来资源意识型处理器的基础。

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