Attacking power consumption at the behavioral level exploits an applic
ation's inherent parallelism to maintain performance while compensatin
g for slower, less power-hungry operators. The authors' method and too
l optimize and evaluate the effects of power-saving strategies on perf
ormance and silicon area.