Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)

Design and Implementation of SPARC V8 CPU Simulator in Virtualized Verification System

Authors
Yongchao Tao, Wencheng Xiang, Xianghu Wu
Corresponding Author
Yongchao Tao
Available Online December 2017.
DOI
10.2991/anit-17.2018.31How to use a DOI?
Keywords
SPARC, all-digital simulation, instruction set simulation, interpretive execution.
Abstract

The aim of this paper is to design and develop a simulator with high efficiency and flexibility for the SPARC processor which is widely used in present domestic aerospace industry based on the virtualized verification system. Firstly, the feature of SPARC instruction set architecture is studied and the simulation of its register file, execution of instruction and handling of trap is implemented wtih C programing languge respectively. Further, the high performance general graphics processor is explored to gain more performance improvement and the pre-decoding functions are eventually realized with CUDA and obtain considerable seed up.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
Series
Advances in Intelligent Systems Research
Publication Date
December 2017
ISBN
978-94-6252-447-7
ISSN
1951-6851
DOI
10.2991/anit-17.2018.31How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yongchao Tao
AU  - Wencheng Xiang
AU  - Xianghu Wu
PY  - 2017/12
DA  - 2017/12
TI  - Design and Implementation of SPARC V8 CPU Simulator in Virtualized Verification System
BT  - Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
PB  - Atlantis Press
SP  - 179
EP  - 183
SN  - 1951-6851
UR  - https://doi.org/10.2991/anit-17.2018.31
DO  - 10.2991/anit-17.2018.31
ID  - Tao2017/12
ER  -