Word-Length Selection for Power Minimization Via Non-Linear Optimization
In this paper the authors describe the first method for minimizing the dynamic power consumption of a Digital Signal Processing (DSP) algorithm implemented on reconfigurable hardware via word-length optimization. Fast models for estimating the power consumption of the arithmetic components and the routing power of these algorithm implementations are used within a constrained non-linear optimization formulation that solves a relaxed version of word-length optimization. Tight lower and upper bounds on the cost of the integer word-length problem can be obtained using the proposed solution, with typical upper bounds being 2.9% and 5.1% larger than the lower bounds for area and power consumption, respectively.
Provided by: Association for Computing Machinery Topic: Hardware Date Added: Feb 2009 Format: PDF