Application of Hybrid Computing Technologies for High-Performance Distributed NFV Systems

被引：0
作者：
Rovnyagin, Mikhail M. [1 ]
Kuznetsov, Alexey A. [1 ]
机构：
[1] Natl Res Nucl Univ MEPhI, Moscow Engn Phys Inst, Dept Comp Syst & Technol, Moscow, Russia
来源：
PROCEEDINGS OF THE 2017 IEEE RUSSIA SECTION YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING CONFERENCE (2017 ELCONRUS) | 2017年
关键词：
High performance computing; NVIDIA CUDA; Encryption; hybrid architecture; NFV; OpenCL;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Currently, the areas of transmission and distributed processing technology commonly used network functions virtualization (NFV). A key feature of these solutions is that they can use in the Cloud. Modern cloud infrastructure often has the GPGPU-coprocessors for acceleration purposes. There are a number of problems in which it is possible to use hybrid computing technology to speed up the NFV: encryption, pattern matching, media content processing (compression, audio/video processing, etc.). In this paper, we propose a new NFV-GPGPU architecture and provide the results of its study in case of AES network virtualized function acceleration.
引用
收藏
页码：540 / 543
页数：4
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