- 专利标题: Automatic predication of hard-to-predict convergent branches
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申请号: US16021838申请日: 2018-06-28
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公开(公告)号: US10754655B2公开(公告)日: 2020-08-25
- 发明人: Adarsh Chauhan , Hong Wang , Jayesh Gaur , Zeev Sperber , Sumeet Bandishte , Lihu Rappoport , Stanislav Shwartsman , Kamil Garifullin , Sreenivas Subramoney , Adi Yoaz
- 申请人: Intel Corporation
- 申请人地址: US CA Santa Clara
- 专利权人: Intel Corporation
- 当前专利权人: Intel Corporation
- 当前专利权人地址: US CA Santa Clara
- 代理机构: Nicholson De Vos Webster & Elliot LLP
- 主分类号: G06F9/32
- IPC分类号: G06F9/32 ; G06F9/42 ; G06F9/38 ; G06F9/30
摘要:
A processing device includes a branch IP table and branch predication circuitry coupled to the branch IP table. The branch predication circuitry to: determine a dynamic convergence point in a conditional branch of set of instructions; store the dynamic convergence point in the branch IP table; fetch a first and second speculative path of the conditional branch; while determining which of the first speculative path and the second speculative path is a taken path of the conditional branch and determining whether a dynamic convergence point is fetched corresponding to the stored dynamic convergence point, stall scheduling of instructions of the first speculative path and the second speculative path; and in response to determining that one of the first speculative path and the second speculative path is the taken path and the fetched dynamic convergence point corresponds to the stored convergence point, resume scheduling of the instructions of the taken path.
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