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Spectral analysis for characterizing program power and performance
Russ Joseph
,
Maraget Martonosi
, Zhigang Hu
Computer Science
Center for Information Technology Policy (CITP)
Electrical and Computer Engineering
High Meadows Environmental Institute
Keller Center for Innovation in Engineering Education
Research output
:
Chapter in Book/Report/Conference proceeding
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Conference contribution
10
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Scopus citations
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Dive into the research topics of 'Spectral analysis for characterizing program power and performance'. Together they form a unique fingerprint.
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Keyphrases
Fourier Analysis
100%
Frequency Analysis
100%
Spectral Analysis
100%
Fine Granularity
100%
Frequency Spectrum
50%
Processor Design
50%
Cache Miss
50%
Power Behavior
50%
Temperature Profile
50%
Latency Tolerance
50%
Microarchitecture
50%
Performance Analysis
50%
Fundamental Frequency
50%
Program Performance
50%
Power Analysis
50%
Application Performance
50%
Thermal Control
50%
Performance Optimization
50%
Repetitive Patterns
50%
Cache Performance
50%
Phase Analysis
50%
Complex Information
50%
Voltage Stability
50%
Program Phases
50%
Sinusoidal Wave
50%
Time Waveform
50%
Performance Issues
50%
Current Variability
50%
Computer Science
Frequency Analysis
100%
Fine Granularity
100%
Frequency Domain
100%
Research Effort
50%
Processor Design
50%
Performance Analysis
50%
Frequency Spectrum
50%
Program Performance
50%
Power Analysis
50%
Application Performance
50%
Performance Optimization
50%
Performance Issue
50%
Modern Processor
50%
Fundamental Frequency
50%