Evolutionary multi-objective optimization of spiking neural networks for solving classification problems is studied in this paper. By means of a Paretobased multi-objective geneti...
Abstract. For many applications, cache misses are the primary performance bottleneck. Even though much research has been performed on automatically optimizing cache behavior at the...
There has been much work recently on improving the locality performance of loop nests in scientific programs through the use of loop as well as data layout optimizations. However,...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
We study the problem of optimal resource allocation for multi-user wireless video transmissions from an informationtheoretic point of view. We show that the previously known optima...
This paper solves the open problem of extracting the maximal number of iterations from a loop that can be executed in parallel on chip multiprocessors. Our algorithm solves it opt...
Duo Liu, Zili Shao, Meng Wang, Minyi Guo, Jingling...