Branch optimization to improve branch prediction for P6 superpipeline microarchitecture
In superpipeline microarchitecture, the instruction execution cycle is divided into many stages. This type of microarchitecture increases the throughput or the number of instructions executed in a certain time period. But, pipeline stalls due to branch misprediction causes severe degradation in the...
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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
1999
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/etd_masteral/2291 |
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| Institution: | De La Salle University |
| Language: | English |
| Summary: | In superpipeline microarchitecture, the instruction execution cycle is divided into many stages. This type of microarchitecture increases the throughput or the number of instructions executed in a certain time period. But, pipeline stalls due to branch misprediction causes severe degradation in the performance. Microarchitecture employs hardware-based branch prediction to predict the branch target. But it is not enough. Software-based or program-level branch prediction is also needed to complement the hardware-based branch prediction. In this paper, rules for branch optimization at program level are introduced to complement the hardware-level branch prediction of P6 microarchitecture. |
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