Alternative implementations of two-level adaptive branch prediction
ISCA '92 Proceedings of the 19th annual international symposium on Computer architecture
Evaluation of Hardware-Based Stride and Sequential Prefetching in Shared-Memory Multiprocessors
IEEE Transactions on Parallel and Distributed Systems
Exceeding the dataflow limit via value prediction
Proceedings of the 29th annual ACM/IEEE international symposium on Microarchitecture
The predictability of data values
MICRO 30 Proceedings of the 30th annual ACM/IEEE international symposium on Microarchitecture
Highly accurate data value prediction using hybrid predictors
MICRO 30 Proceedings of the 30th annual ACM/IEEE international symposium on Microarchitecture
Understanding the differences between value prediction and instruction reuse
MICRO 31 Proceedings of the 31st annual ACM/IEEE international symposium on Microarchitecture
Effective Hardware-Based Data Prefetching for High-Performance Processors
IEEE Transactions on Computers
Differential FCM: Increasing Value Prediction Accuracy by Improving Table Usage Efficiency
HPCA '01 Proceedings of the 7th International Symposium on High-Performance Computer Architecture
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Value prediction, a technique to break data dependency, is important in enhancing instruction-level parallelism and processor performance. A new value predictor utilizing both the loop and locality properties of data values has been proposed in this paper to pursue desirable prediction accuracy at reasonable cost. The proposed value predictor, called the Dynamic Loop and Locality-based (DLL) predictor, makes predictions by dynamically practicing the loop or locality-based prediction policy according to the state. With certain simple designs, the DLL predictor gains prediction accuracy in an efficient way. To secure more comprehensive experimental evaluation of value predictors, a new performance measure, accuracy improvement per cost, briefed as the A/C ratio, is introduced in the paper. Simulation results show that, compared with other existing value predictors, the proposed DLL predictor produces better A/C ratios in almost all situations due to flexible application of different prediction policies and reduced cost.