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Statistical Machine Learning based Modeling Framework for Design Space Exploration and Run-time Cross-stack Energy Optimization for Many-core Processors
Title
Statistical Machine Learning based Modeling Framework for Design Space Exploration and Run-time Cross-stack Energy Optimization for Many-core Processors
Author
Zhang, Changshu
Date Created
2013
Description
The complexity of many-core processors continues to grow as a larger number of heterogeneous cores are integrated on a single chip. Such systems-on-chip contains computing structures ranging from complex out-of-order cores, simple in-order cores, ...
Statistical Machine Learning based Modeling Framework for Design Space Exploration and Run-time Cross-stack Energy Optimization for Many-core Processors
Title
Statistical Machine Learning based Modeling Framework for Design Space Exploration and Run-time Cross-stack Energy Optimization for Many-core Processors
Author
Zhang, Changshu
Date Created
2013
Subjects--Topical
Electrical engineering, Computer engineering
Description
The complexity of many-core processors continues to grow as a larger number of heterogeneous cores are integrated on a single chip. Such systems-on-chip contains computing structures ranging from complex out-of-order cores, simple in-order cores, ...