Training and utilization of neural branch predictor
US10372459B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 21, 2017 |
| Grant date | Aug 6, 2019 |
| Priority date | — |
| Expiry date | Sep 21, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F9/3806
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for branch prediction include identifying a subset of branch instructions from an execution trace of instructions executed by a processor. The identified subset of branch instructions have greater benefit from branch predictions made by a neural branch predictor than branch predictions made by a non-neural branch predictor. During runtime, the neural branch predictor is selectively used for obtaining branch predictions of the identified subset of branch instructions. For remaining branch instructions outside the identified subset of branch instructions, branch predictions are obtained from a non-neural branch predictor. Further, a weight vector matrix comprising weight vectors for the identified subset of branch instructions of the neural branch predictor is pre-trained based on the execution trace.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.