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Fast high-level power estimation for control-flow intensive designs
Kamal S. Khouri
, Ganesh Lakshminarayana
,
Niraj K. Jha
Electrical and Computer Engineering
Princeton Language and Intelligence (PLI)
NextG
Research output
:
Contribution to conference
›
Paper
›
peer-review
6
Scopus citations
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Dive into the research topics of 'Fast high-level power estimation for control-flow intensive designs'. Together they form a unique fingerprint.
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Keyphrases
Control Flow
100%
Slow Design
100%
Power Estimation
100%
Index Tracking
100%
Experimental Measure
66%
Power Consumption
66%
Average Tracking
66%
Low Power
33%
High-level Synthesis
33%
Synthesis System
33%
Making Decisions
33%
Estimation Error
33%
Switching Activity
33%
Power Estimation Technique
33%
Switching Circuits
33%
Behavioral Information
33%
Circuit Power
33%
Index Measure
33%
Algorithm Accuracy
33%
Relative Power
33%
Average Estimation
33%
Circuit Capacitance
33%
Computer Science
Power Consumption
100%
Control Flow
100%
High Level Synthesis
50%
Estimation Error
50%
First Set
50%
Switching Activity
50%
Switching Circuit
50%