The paper presents distributed and parallel -approximation algorithms for covering problems, where is the maximum number of variables on which any constraint depends (for example...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
A reasonably good description of the luminosity profiles of galaxies is needed as it serves as a guide towards understanding the process of galaxy formation and evolution. To obtai...
Jin Li, Xin Yao, Colin Frayn, Habib G. Khosroshahi...
Today, clusters are very important computing resources and many computing centers manage their clusters in private networks. But parallel programs may not work in private clusters....
Insoon Jo, Hyuck Han, Heon Young Yeom, Ohkyoung Kw...
Many current general purpose processors use extensions to the instruction set architecture to enhance the performance of digital image processing and multimedia applications. In t...
Phaisit Chewputtanagul, David Jeff Jackson, Kennet...