System identification: theory for the user
System identification: theory for the user
Power analysis of embedded software: a first step towards software power minimization
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on low-power design
Power analysis and minimization techniques for embedded DSP software
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Battery-conscious task sequencing for portable devices including voltage/clock scaling
Proceedings of the 39th annual Design Automation Conference
Instantaneous current modeling in a complex VLIW processor core
ACM Transactions on Embedded Computing Systems (TECS)
Current Flattening in Software and Hardware for Security Applications
CODES+ISSS '04 Proceedings of the international conference on Hardware/Software Codesign and System Synthesis: 2004
Evaluating iterative compilation
LCPC'02 Proceedings of the 15th international conference on Languages and Compilers for Parallel Computing
Power consumption characterisation of the texas instruments TMS320VC5510 DSP
PATMOS'05 Proceedings of the 15th international conference on Integrated Circuit and System Design: power and Timing Modeling, Optimization and Simulation
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Estimation of processor current consumption is important for the design of low power systems. This paper proposes a novel method for estimating the dynamic current consumption of a processor. The method models dynamic current as the output of a linear system excited by a signal comprised of the total current due to each instruction. System identification is performed by cross-correlation of a pseudo-random stimulus with the measured current. The method was applied to the Texas Instruments TMS320VC5510 DSP and was found to provide an average correlation of 93% between estimated and measured dynamic current across a range of benchmarks.