Study of Vector Processor Architectures for Image Processing Using Model Profiling

Autor: Danil V. Bogayevskiy, Sergey N. Ezhov, Konstantin A. Petrov, Maxim V. Minenko, Sergei I. Aryashev, Dmitrii I. Kaplun
Rok vydání: 2019
Předmět:
Zdroj: MECO
DOI: 10.1109/meco.2019.8760039
Popis: In this paper, we propose an implementation approach to the system profiling of the virtual architecture based on the QEMU emulator. This approach is distinguished by the ability to explore guest models of vector processors. Moreover, the recommendations for optimizing vectorization obtained through profiling on the vector processor model are given.
Databáze: OpenAIRE