Invention Grant
- Patent Title: Indirect target tagged geometric branch prediction using a set of target address pattern data
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Application No.: US15498678Application Date: 2017-04-27
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Publication No.: US10261797B2Publication Date: 2019-04-16
- Inventor: Satish Kumar Sadasivam , Puneeth A. H. Bhat , Shruti Saxena
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Robert J. Shatto
- Main IPC: G06F9/38
- IPC: G06F9/38 ; G06F9/30

Abstract:
Provided is a method for predicting a target address using a set of Indirect Target TAgged GEometric (ITTAGE) tables and a target address pattern table. A branch instruction that is to be executed may be identified. A first tag for the branch instruction may be determined. The first tag may be a unique identifier that corresponds to the branch instruction. Using the tag, the branch instruction may be determined to be in a target address pattern table, and an index may be generated. A predicted target address for the branch instruction may be determined using the generated index and the largest ITTAGE table. Instructions associated with the predicted target address may be fetched.
Public/Granted literature
- US20180314523A1 INDIRECT TARGET TAGGED GEOMETRIC BRANCH PREDICTION USING A SET OF TARGET ADDRESS PATTERN DATA Public/Granted day:2018-11-01
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