As the study of graphs, such as web and social graphs, becomes increasingly popular, the requirements of efficiency and programming flexibility of large graph processing tasks c...
Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....
The k-D tree is a well-studied acceleration data structure for ray tracing. It is used to organize primitives in a scene to allow efficient execution of intersection operations be...
Byn Choi, Rakesh Komuravelli, Victor Lu, Hyojin Su...
In computer architecture, caches have primarily been viewed as a means to hide memory latency from the CPU. Cache policies have focused on anticipating the CPU’s data needs, and...
Jeffrey Stuecheli, Dimitris Kaseridis, David Daly,...
Abstract—This paper addresses the problem of execution time estimation for tasks in a software pipeline independent of the application structure or the underlying architecture. A...