Abstract--Modern computing systems have adopted multicore architectures and multiprocessor systems on chip (MPSoCs) for accommodating the increasing demand on computation power. Ho...
Andreas Schranzhofer, Jian-Jia Chen, Lothar Thiele
Neural Network approaches to time series prediction are briefly discussed, and the need to specify an appropriately sized input window identified. Relevant theoretical results fro...
— The paper presents a software architecture for Distributed Timed Multitasking - a new model of computation that can be used to engineer open, and the same time, predictable emb...
As we enter the era of petascale computing, system architects must plan for machines composed of tens or even hundreds of thousands of processors. Although fully connected network...
Shoaib Kamil, Ali Pinar, Daniel Gunter, Michael Li...
In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...