Making typical silicon matter with Razor
The work
| Authors | T. Austin; David T. Blaauw; Trevor Mudge; Krisztián Flautner |
|---|---|
| Editors | |
| Type | article |
| Year | 2004 |
| Citekey | austin2004making |
Where it appeared
| Published in | Computer |
|---|---|
| Publisher | IEEE Computer Society |
| Volume | 37 |
| Issue | 3 |
| Pages | 57--65 |
Identifiers
| DOI | 10.1109/mc.2004.1274005 |
|---|---|
| OpenAlex | W2051973459 |
Access
| Landing page | https://doi.org/10.1109/mc.2004.1274005 |
|---|
From OpenAlex, which stores abstracts as an index of words and their positions: what is shown is rebuilt from that, and reads fluently whether or not it is what the author wrote.
Abstract
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 the energy 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.
How it got here
| How it got here | agent via openalex |
|---|---|
| Added | 2026-10-25 23:41 UTC |
| Not denied by | a person 2026-10-29 17:12 UTC |
Cite it as
@article{austin2004making,
title = {Making typical silicon matter with Razor},
author = {T. Austin and David T. Blaauw and Trevor Mudge and Krisztián Flautner},
year = {2004},
journal = {Computer},
publisher = {IEEE Computer Society},
volume = {37},
number = {3},
pages = {57--65},
doi = {10.1109/mc.2004.1274005},
}
This record lives at https://refs.drheap.org/austin2004making/ and will keep doing so.