The goal of OWL (Object-Oriented Workplace Laboratory) is to provide an object-oriented and component-based framework that supports the engineering of applications for the design, ...
Two-level predictors deliver highly accurate conditional branch prediction, indirect branch target prediction and value prediction. Accurate prediction enables speculative executio...
We present the Data Parallel Fortran (DPF) benchmark suite, a set of data parallel Fortran codes forevaluatingdata parallel compilers appropriatefor any target parallel architectu...
Y. Charlie Hu, S. Lennart Johnsson, Dimitris Kehag...
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...