Assigning confidence to conditional branch predictions
Proceedings of the 29th annual ACM/IEEE international symposium on Microarchitecture
Confidence estimation for speculation control
Proceedings of the 25th annual international symposium on Computer architecture
Pipeline gating: speculation control for energy reduction
Proceedings of the 25th annual international symposium on Computer architecture
Focusing processor policies via critical-path prediction
ISCA '01 Proceedings of the 28th annual international symposium on Computer architecture
Quantifying Instruction Criticality
Proceedings of the 2002 International Conference on Parallel Architectures and Compilation Techniques
Power-Aware Control Speculation through Selective Throttling
HPCA '03 Proceedings of the 9th International Symposium on High-Performance Computer Architecture
Multiscalar Processors
Proceedings of the 2005 Asia and South Pacific Design Automation Conference
Criticality driven energy aware speculation for speculative multithreaded processors
HiPC'05 Proceedings of the 12th international conference on High Performance Computing
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Unending quest for performance improvement coupled with the advancements in integrated circuit technology have led to the development of new architectural paradigm. Speculative multithreaded architecture (SpMT) philosophy relies on aggressive speculative execution for improved performance. However, aggressive speculative execution comes with a mixed flavor of improving performance, when successful, and adversely affecting the performance (and energy consumption) because of useless computation in the event of mis-speculation. Dynamic instruction criticality information can be applied to control and guide such an aggressive speculative execution. In this paper, we propose a model to determine the dynamic instruction criticality of SpMT execution. We have also developed two novel techniques, utilizing the criticality information, namely delaying the non-critical loads and the criticality based thread-prediction for reducing useless computations. Our experiments with criticality based speculation control show a significant reduction in useless computation with little reduction in speedup.