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Article summary:
1. Power-gating is a promising technique to reduce static power of on-chip routers.
2. Clos networks are good targets for power-gating due to their path diversity and decoupling between processing elements and most of the routers.
3. MP3 (Minimal Performance Penalty Power-gating) is proposed as an effective power-gating scheme which can achieve minimal performance penalty and save more static energy than conventional power-gating applied to Clos networks.
Article analysis:
The article provides a detailed overview of the potential benefits of applying power-gating techniques to Clos networks, as well as the proposed MP3 (Minimal Performance Penalty Power-gating) scheme for achieving minimal performance penalty while saving more static energy than conventional power-gating. The article is well written and provides a comprehensive overview of the topic, with clear explanations and examples provided throughout. The authors provide evidence from full system evaluation using PARSEC benchmarks to support their claims, which adds credibility to the article.
However, there are some potential biases in the article that should be noted. For example, the authors focus solely on the benefits of applying power-gating techniques to Clos networks without exploring any potential drawbacks or counterarguments that could be raised against this approach. Additionally, there is no discussion of possible risks associated with this approach or how these risks could be mitigated. Furthermore, while the authors provide evidence from full system evaluation using PARSEC benchmarks, it would have been beneficial if they had also provided evidence from other sources such as real world applications or simulations in order to further strengthen their argument.
In conclusion, while this article provides a comprehensive overview of the potential benefits of applying power-gating techniques to Clos networks and presents evidence from full system evaluation using PARSEC benchmarks in support of its claims, there are some potential biases that should be noted such as lack of exploration into counterarguments or possible risks associated with this approach and lack of evidence from other sources such as real world applications or simulations.