A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Special Aspects of Matrix Operation Implementations for Low-Precision Neural Network Model on the Elbrus Platform
2020
Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software
This paper investigates the possibility of effective implementation of calculations in lowprecision neural network models on the Elbrus platform with the VLIW architecture. Such models are widely used in practice to increase the computational efficiency of recognition and well suit computers with the x86 and ARM architectures. In this paper, we consider an 8-bit neural network model, in which matrix multiplication is the most resource-intensive part of the implementation. This paper presents an
doi:10.14529/mmp200109
fatcat:7txfuvur35dovkvkuzsdmixxrm