Jun 15, 2015 · The talk will explore these issues by giving a brief retrospective on performance tool evolution, setting the stage for current research ...
❍ Policy-driven dynamic feedback and adaptation. ❍ Reflects computation to execution model mapping. ❍ Integration in exascale productivity environment. Page ...
Through the Looking-Glass: From Performance Observation to Dynamic Adaptation · Author Picture Allen D. Malony. Page 1https://doi.org/10.1145/2749246.2749248.
The talk will explore these issues by giving a brief retrospective on performance tool evolution, setting the stage for current research projects where a new ...
Missing: Adaptation. | Show results with:Adaptation.
Dec 1, 2022 · We present a deep learning architecture that exposes a directed graph layer that represents what the model has learned about relevant brain connectivity.
Missing: Adaptation. | Show results with:Adaptation.
This paper examines how organization theory can benefit from advances made in the interdisciplinary field of complex systems theory (CST).
This paper presents a new method to identify classes of events, by processing phasor measurement units (PMU) frequency data through deep neural networks.
This review covers state performance assessments used for a range of purposes, from offering alternative approaches to high-stakes state assessments to ...
Adaptive query processing (AQP) is a promising ap- proach to avoid the performance penalty caused by opti- mizer mistakes, unknown statistics, and changes in ...
Jan 23, 2019 · Clinical locomotor research seeks to facilitate adaptation or retention of new walking patterns by providing feedback.
Missing: Observation | Show results with:Observation