在无序处理器中使用有序问题逻辑重用缓存的调度

Oscar Palomar, Toni Juan, J. Navarro
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引用次数: 3

摘要

与缓存或分支预测器不同,复杂而强大的乱序问题逻辑消除了代码的重复性。我们表明,在90%的周期中,由问题逻辑选择的指令组只属于发出的总不同组的13%:无序处理器的问题逻辑不断地重新发现它已经找到的东西。为了从指令问题的重复性中获益,我们在提交阶段之后将调度逻辑移出执行的关键路径。在那里创建的调度被缓存和重用,以提供一个简单的有序问题逻辑,这可能导致更高频率的设计。我们展示了我们的ReLaSch处理器的完整设计,它实现了与传统无序处理器相同的平均IPC,并且比有序处理器的IPC加快了1.56。实际上,在40个SPEC基准测试中,我们有23个超过了无序IPC,这主要是因为在提交阶段之后,更广阔的代码视野允许创建更好的调度。
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Reusing cached schedules in an out-of-order processor with in-order issue logic
The complex and powerful out-of-order issue logic dismisses the repetitive nature of the code, unlike what caches or branch predictors do. We show that 90% of the cycles, the group of instructions selected by the issue logic belongs to just 13% of the total different groups issued: the issue logic of an out-of-order processor is constantly re-discovering what it has already found. To benefit from the repetitive nature of instruction issue, we move the scheduling logic after the commit stage, out of the critical path of execution. The schedules created there are cached and reused to feed a simple in-order issue logic, that could result in a higher frequency design. We present the complete design of our ReLaSch processor, that achieves the same average IPC than a conventional out-of-order processor, and a 1.56 speed-up over the IPC of an in-order processor. We actually surpass the out-of-order IPC in 23 out of 40 SPEC benchmarks, mainly because the broader vision of the code after the commit stage allows creating better schedules.
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