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ISCA2026顶会

Augmenting the Branch Predictor with a Squashed-Branch Reuse Buffer

Rohit Singh, Jiayang Li, Eric Rotenberg

2026年份

摘要

In high-performance superscalar processors, a single mispredicted branch may squash hundreds of instructions after it. Some squashed instructions may be control and data independent of the branch, including younger branches, some of which may have executed prior to the squash. Their squashed outcomes can be used to override the branch predictor when the same dynamic branches are refetched, eliminating mispredictions if the predictor is incorrect. The key challenge lies in associating each dynamic branch on the resolved path with its counterpart on the squashed path, if it exists. Multiple dynamic instances of a branch occur due to loops. A dynamic instance can be uniquely identified by a hierarchical loop iteration identifier, like loopA.iter, A,loopB.iter,B for a branch within a doubly-nested loop. We realize such an identifier compactly using an LFSR-based signature that is augmented as loops are entered and continued, and a small stack that saves and restores the signature before entering and after exiting loops, respectively. The signature plus branch PC identifies the dynamic branch being fetched. A key point is that signatures are invariant, in that the signature of a dynamic branch on the resolved path matches that of its counterpart on the squashed path (if it exists), despite arbitrary differences in control-flow observed on the two paths. We augment a 64KB TAGE-SC-L branch predictor with a Squashed-Branch Reuse Buffer (SBRB) accessed by a hash of signature and branch PC. With 11KB of storage for all components, the SBRB improves performance by 2.08% for the SPEC 2006 and 2017 integer benchmarks (maximum 14.1%), 7.25% for the GAPBS benchmarks (maximum 21.2%), and 4.43% for all benchmarks combined.

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