Universal load address/value prediction using stride-based pattern history and last-value prediction in a two-level table scheme

Abstract

This invention is a method and system for hybrid prediction of load addresses and/or values. The new scheme for value prediction provides prediction based on last values and strides, as well as context prediction, without the use of a sophisticated switching scheme between several predictors. The system collects patterns of deltas of subsequent values instead of the values itself in a first table. Thus, a last value prediction can be achieved by predicting a 'pattern' of just one stride equal to zero. A stride predictor uses a pattern of one constant stride. And a certain pattern of values is modeled by recording the pattern of deltas between the values and adding the deltas to the last value. The switching scheme is inherently included in the system itself and operates basically by immediate evaluation of counters in the pattern history table.