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
The effect of instruction fetch bandwidth on value prediction
Proceedings of the 25th annual international symposium on Computer architecture
Exploiting value locality to exceed the dataflow limit
International Journal of Parallel Programming - Special issue: MICRO-29, 29th annual IEEE/ACM international symposium on microarchitecture
ISCA '99 Proceedings of the 26th annual international symposium on Computer architecture
Table size reduction for data value predictors by exploiting narrow width values
Proceedings of the 14th international conference on Supercomputing
Latency and energy aware value prediction for high-frequency processors
ICS '02 Proceedings of the 16th international conference on Supercomputing
Automatically characterizing large scale program behavior
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
A Power Perspective of Value Speculation for Superscalar Microprocessors
ICCD '00 Proceedings of the 2000 IEEE International Conference on Computer Design: VLSI in Computers & Processors
Partial Resolution in Data Value Predictors
ICPP '00 Proceedings of the Proceedings of the 2000 International Conference on Parallel Processing
Detecting global stride locality in value streams
Proceedings of the 30th annual international symposium on Computer architecture
Dynamic Prediction of Critical Path Instructions
HPCA '01 Proceedings of the 7th International Symposium on High-Performance Computer Architecture
HPCA '02 Proceedings of the 8th International Symposium on High-Performance Computer Architecture
Picking Statistically Valid and Early Simulation Points
Proceedings of the 12th International Conference on Parallel Architectures and Compilation Techniques
Characterizing and Comparing Prevailing Simulation Techniques
HPCA '05 Proceedings of the 11th International Symposium on High-Performance Computer Architecture
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Power dissipation due to value prediction is being more studied recently. In this paper, a new cost effective data value predictor based on a linear function is introduced. Without the complex two-level structure, the new predictor can still make correct predictions on some patterns that can only be done by the context-based data value predictors. Simulation results show that the new predictor works well with most value predictable instructions. Energy and performance impacts of storing partial tag and common sub-data values in the value predictor are studied. The two methods are found to be good ways to build better cost-performance value predictors. With about 5K bytes, the new data value predictor can obtain 16.5% maximal while 4.6% average performance improvements with the SPEC INT2000 benchmarks.