The Misprediction Recovery Cache

Abstract

In modern processors, deep pipelines couple with superscalar techniques to allow each pipe stage to process multiple instructions. When such a pipe must be flushed and refilled, as when predicted program flow beyond a branch is subsequently recognized as wrong, the temporary performance loss is significant. While modern branch target buffer (BTB) technology makes this flush/refill penalty fairly rare, the penalty that accrues from the remaining branch mispredictions is a serious impediment to even higher processor performance. Advanced mechanisms that can reduce this residual misprediction penalty can be of enormous value in future microprocessor designs. In this paper we describe the design and performance of a promising new mechanism called the Misprediction Recovery Cache (MRC). The key results of our study are. (1) Small, finite sized MRCs (16 to 256 entry) can effectively reduce branch penalty in deeply pipelined processors. (2) Commercial Benchmarks such as the Winstone benchmarks make better use of larger M RCs due to large number of unique branch instructions unlike the predominantly technical SPECint benchmarks. (3) The MRC hit rates increase with increasing BTB prediction accuracy (5-200% depending on MRC size) due to fewer residual mispredictions associated with better prediction. (4) For the processor architecture we studied, the M RC resulted in up to 20% improvement in cpi(cycles per instruction). (5) The incremental performance gain achievable by adding an MRC to a modern CISC processor (which uses a BTB with a two-level predictor) is two to three times of what was achievable by going from a one-level predictor to a two-level predictor.