A Hardware/Software Framework for the Integration of FPGA-based Accelerators into Cloud Computing Infrastructures

被引：4
|
作者：
Steinert, Fritjof [1 ]
Kreowsky, Philipp [1 ]
Wisotzky, Eric L. [1 ]
Unger, Christian [2 ]
Stabernack, Benno [1 ,3 ]
机构：
[1] Fraunhofer Inst Telecommun, Heinrich Hertz Inst, Berlin, Germany
[2] CPU 24 7 GmbH Potsdam, Potsdam, Germany
[3] Univ Potsdam, Embedded Syst Architectures Signal Proc, Potsdam, Germany
来源：
2020 IEEE INTERNATIONAL CONFERENCE ON SMART CLOUD (SMARTCLOUD 2020) | 2020年
关键词：
Heterogeneous Computing; Accelerator; FPGA; Cloud Computing; Resource Management;
D O I：
10.1109/SmartCloud49737.2020.00014
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The need for high computing power has increased enormously in recent years, particularly in the field of image signal processing and machine learning applications, very powerful computing systems are required. It has been shown that homogeneous architectures in data centers work very inefficiently regarding these special applications, showing high latency of the response times and providing a very poor power efficiency. In order to integrate FPGA (Field Programming Gate Array)- as well as GPU-based accelerators into cloud computing infrastructures as compute nodes we present a generic hardware/software framework for using heterogeneous computing systems. A real industrial image processing application shows the acceleration achieved.
引用
收藏
页码：23 / 28
页数：6
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