Table size reduction for data value predictors by exploiting narrow width values
Proceedings of the 14th international conference on Supercomputing
Wattch: a framework for architectural-level power analysis and optimizations
Proceedings of the 27th annual international symposium on Computer architecture
Power minimization of functional units partially guarded computation
ISLPED '00 Proceedings of the 2000 international symposium on Low power electronics and design
Very low power pipelines using significance compression
Proceedings of the 33rd annual ACM/IEEE international symposium on Microarchitecture
Dynamic zero compression for cache energy reduction
Proceedings of the 33rd annual ACM/IEEE international symposium on Microarchitecture
Reducing access energy of on-chip data memory considering active data bitwidth
Proceedings of the 2002 international symposium on Low power electronics and design
Energy efficient frequent value data cache design
Proceedings of the 35th annual ACM/IEEE international symposium on Microarchitecture
Exploiting data-width locality to increase superscalar execution bandwidth
Proceedings of the 35th annual ACM/IEEE international symposium on Microarchitecture
Dynamically Exploiting Narrow Width Operands to Improve Processor Power and Performance
HPCA '99 Proceedings of the 5th International Symposium on High Performance Computer Architecture
Software-Controlled Operand-Gating
Proceedings of the international symposium on Code generation and optimization: feedback-directed and runtime optimization
IBM memory expansion technology (MXT)
IBM Journal of Research and Development
Exploiting narrow-width values for thermal-aware register file designs
Proceedings of the Conference on Design, Automation and Test in Europe
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A processor's energy consumption can be reduced by compressing values (data and addresses) that flow through a processor pipeline and gating off portions of data path elements that would otherwise be used for computing non-significant bits. An approach for compressing all values running through a processor is proposed and evaluated. For the SpecInt2000 benchmarks the best compression method achieves energy savings of more than 20 percent and a peak power reduction of 18 percent.