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References in periodicals archive ?
The stride predictor extends the capabilities of the last-value predictor, since it can exploit both last-value predictability and stride value predictability.
In addition, knowledge about the characteristics of nonzero strides may motivate future explorations of the potential for hybrid predictors, which combine both the last-value predictor and the stride predictor.
The value predictor chosen to compete the address predictor is the last-value predictor, since it has gained the best prediction accuracy for load instructions.
Figure 12 shows the ILP that can be gained by employing the last-value predictor in comparison to a machine that does not employ value prediction.
The gain of ILP available with value prediction is examined for two different value predictors, the last-value predictor and the stride predictor.
It also compares the ILP achieved by different predictor schemes (last-value predictor and stride predictor) and prediction modes (scalar mode and eager mode) versus the ILP when value prediction is not employed.
Another interesting observation shown by these experiments is that the eager mode barely improves the ILP that the last-value predictor achieves in all the benchmarks.
(2) Both the last-value predictor and the stride predictor gained relatively small prediction accuracy in floating-point instructions which may also affect their achievable performance.