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Proactive Energy-Aware Programming with PEEK

Talkat TRIOS ’14 · on Sunday, 2014-10-05· [embedded-and-hardware]
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PEEK automates energy measurement, integrates with Git and Eclipse, and generates source patches that are validated by re-running analyses. Evaluation reports an 8.4-fold speed-up in energy analysis and an average 25.3% energy improvement for optimized snapshots. Hardware uses a current mirror plus flip‑flop to convert fast drain transients into a slow square wave, yielding 0.1 µJ resolution and 6 ns temporal resolution. Function-level attribution is done by toggling GPIOs at function entry and exit and correlating measurements to builds.

AI-written summary · about

  1. 0:00Intro
  2. 0:27Energy-Aware Programming: Status Quo
  3. 3:25Proactive Energy-Aware Programming with PEEK
  4. 4:43Design and System Architecture
  5. 8:44Implementation and Operation: Energy Analysis
  6. 9:30Implementation and Operation: Optimizations
  7. 13:54Electronic Measuring Device: Motivation
  8. 15:15Measuring Energy: Sampling Constraints
  9. 16:16Measuring Energy: PEEK Energy Measurement Device
  10. 18:42Evaluation Scenarios
  11. 19:59Evaluation Platform
  12. 20:44Evaluation Results: Power Modes
  13. 22:44Evaluation Results: Compiler Impact
  14. 24:34Evaluation Results: Energy Optimization Hints
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