Abstract
Energy characterization is the basis for high-level energy reduction. Measurement-based characterization is accurate and independent of model availability and is thus suitable for commercial off-the-shelf (COTS) components, but conventional measurement equipment has serious limitations in this context. We introduce a new technique for the energy characterization of a microprocessor, using a cycle-accurate energy measurement system based on charge transfer which is robust to spiky noise and is able to collect a range of energy consumption profiles in real time. It measures the energy variation of the CPU core by changing the instruction-level energy-sensitive factors such as opcodes (operations), instruction fetch addresses, register numbers, register values, data fetch addresses and immediate operand values at each pipeline stage. Using the ARM7TDMI RISC processor as a case study, we observe that the energy contributions of most instruction-level energy-sensitive factors are orthogonal to the operations. We are able to characterize the energy variation, preserving all the effects of the energy-sensitive factors for various software methods of energy reduction. We also demonstrate applications of our measurement and characterization techniques.
| Original language | English |
|---|---|
| Pages (from-to) | 146-154 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Very Large Scale Integration (VLSI) Systems |
| Volume | 10 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 2002 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- Energy characterization
- Energy measurement
- Low-power design
- Microprocessor
Fingerprint
Dive into the research topics of 'Cycle-accurate energy measurement and characterization with a case study of the ARM7TDMI'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver