A novel register renaming technique for out-of-order processors
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Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
Modern superscalar processors support a large number of in-flight instructions, which requires sizeable register files. Conventional register renaming techniques allocate a new storage location, i.e. physical register, for every instruction whose destination is a logical register in order to remove false dependences. Physical registers are released in a conservative manner when the same logical register is redefined. For this reason, many cycles may happen between the last read and the release of a physical register, leading to suboptimal utilization of the register file. We have observed that for more than 50% of the instructions in SPECfp and more than 30% of the instructions in SPECint that have a destination register, the produced value has only a single consumer. In this case, the RAW dependence guarantees that the producer-consumer instructions pair will be executed in program order and, hence, the same physical register can be used to store the value produced by both instructions. In this paper, we propose a renaming technique that exploits this property to reduce the pressure on the register file. Our technique leverages physical register sharing by introducing minor changes in the register map table and the issue queue. We also describe how our renaming scheme supports precise exceptions. We evaluated our renaming technique on top of a modern out-of-order processor. Our experimental results show that it provides 6% speedup on average for the SPEC2006 benchmarks. Alternatively, our renaming scheme achieves the same performance while reducing the number of physical registers by 10.5%.
CitationTabani, H., Arnau, J., Tubella, J., Gonzalez Colas, A. A novel register renaming technique for out-of-order processors. A: International Symposium on High-Performance Computer Architecture. "2018 IEEE International Symposium on High Performance Computer Architecture (HPCA 2018): Vienna, Austria; 24-28 February 2018". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 259-270.
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