Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....
Abstract. Traditional parallel programming methodologies for improving performance assume cache-based parallel systems. However, new architectures, like the IBM Cyclops-64 (C64), b...
Elkin Garcia, Ioannis E. Venetis, Rishi Khan, Guan...
The goal of this work is to explore architectural mechanisms for supporting explicit communication in cachecoherent shared memory multiprocessors. The motivation stems from the ob...
This paper presents a simulation toolset for estimating the impact of Trusted Platform Modules (TPMs) on the performance of applications that use TPM services, especially in multi...
Jared Schmitz, Jason Loew, Jesse Elwell, Dmitry Po...
Reasoning about graph and model transformation systems is an important means to underpin model-driven software engineering, such as Model-Driven Architecture (MDA) and Model Integ...