The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...
Abstract—Despite the considerable amount of research work on the application of Gabor filters in pattern classification, their design and selection have been mostly done on a t...
A dynamic optimizer is a runtime software system that groups a program’s instruction sequences into traces, optimizes those traces, stores the optimized traces in a softwarebase...
In 21st-Century VLSI design, clocking plays crucial roles for both performance and timing convergence. Due to their non-convex nature, optimal minimum-delay/area zero-skew wire-si...
Jeng-Liang Tsai, Tsung-Hao Chen, Charlie Chung-Pin...
Abstract—Reducing resource usage is one of the most important optimization objectives in behavioral synthesis due to its direct impact on power, performance and cost. The datapat...