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| Todd Austin, David Blaauw, Trevor Mudge, Krisztián Flautner, "Making Typical Silicon Matter with Razor," Computer, vol. 37, no. 3, pp. 57-65, March, 2004. | |||
| BibTex | x | ||
| @article{ 10.1109/MC.2004.1274005, author = {Todd Austin and David Blaauw and Trevor Mudge and Krisztián Flautner}, title = {Making Typical Silicon Matter with Razor}, journal ={Computer}, volume = {37}, number = {3}, issn = {0018-9162}, year = {2004}, pages = {57-65}, doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2004.1274005}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computer TI - Making Typical Silicon Matter with Razor IS - 3 SN - 0018-9162 SP57 EP65 EPD - 57-65 A1 - Todd Austin, A1 - David Blaauw, A1 - Trevor Mudge, A1 - Krisztián Flautner, PY - 2004 VL - 37 JA - Computer ER - | |||
Voltage scaling has emerged as a powerful technology for addressing the power challenges that current on-chip densities pose. Razor is a voltage-scaling technology based on dynamic, in-situ detection and correction of circuit-timing errors. Razor permits design optimizations that tune theenergy in a microprocessor pipeline to typical circuit-operational levels. This eliminates the voltage margins that traditional worst-case design methodologies require and lets digital systems run correctly and robustly at the edge of minimum power consumption.
Occasional heavyweight computations may fail and require additional time and energy for recovery, but the optimized pipeline requires significantly less energy overall than traditional designs.
Citation:
Todd Austin, David Blaauw, Trevor Mudge, Krisztián Flautner, "Making Typical Silicon Matter with Razor," Computer, vol. 37, no. 3, pp. 57-65, March 2004, doi:10.1109/MC.2004.1274005
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