@inproceedings{b48b66a0bd924643bd01123ac7bde291,
title = "Neural network classifiers execution on superscalar microprocessors",
abstract = "This paper evaluates the contribution of various microprocessor architectural features on the execution of 4 neural networks used for classification problems. In this study, we selected the grnn, pnn, mnn and rbfn networks trained for the Iris data set and simulated with 10,000 elements datasets. Using a superscalar simulator we evaluated various architectural parameters such as IPC, memory hierarchy, branch prediction, functional units configuration. The main contribution of this work is to show that neural network workloads deserve their own characterization which cannot be derived from SPEC95 characteristics.",
keywords = "Classification, Microarchitecture, Neural network, Performance, Superscalar",
author = "Omar Hammami",
note = "Publisher Copyright: {\textcopyright} 1999, Springer-Verlag. All rights reserved.; 2nd International Symposium on High Performance Computing, ISHPC 1999 ; Conference date: 26-05-1999 Through 28-05-1999",
year = "1999",
month = jan,
day = "1",
doi = "10.1007/BFb0094910",
language = "English",
isbn = "3540659692",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "41--54",
editor = "Kazuki Joe and Akira Fukuda and Constantine Polychronopoulos and Shinji Tomita",
booktitle = "High Performance Computing - 2nd International Symposium, ISHPC 1999, Proceedings",
}