Orchestration of CPU and GPU Consumers for High-Performance Streaming Processing

被引：0

作者：

Rovnyagin, Mikhail M. ^{[1
]}

Gukov, Aleksey D. ^{[1
]}

Timofeev, Kirill, V ^{[1
]}

Hrapov, Alexander S. ^{[1
]}

Mitenkov, Roman A. ^{[1
]}

机构：

[1] Natl Res Nucl Univ MEPhI Moscow Engn Phys Inst, Moscow, Russia

来源：

PROCEEDINGS OF THE 2021 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (ELCONRUS) | 2021年

关键词：

Kafka; consumers; CPU; GPU; failure statistic;

D O I：

10.1109/ElConRus51938.2021.9396103

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：

In the modern world, there are many systems using streaming data processing. Often, these systems use CPU and GPU devices in their calculations. It should be noted that such systems can fail for various reasons. Therefore, to optimize throughput, system designers need to determine in advance how many CPUs and GPUs to configure the system with. In our article, we present a possible architecture of such a system and present what methods can be used to calculate the optimal number of CPUs and GPUs with optimal throughput and taking into account other factors, for example, the cost of devices and the failure rate of the environment.

引用

页码：623 / 626

页数：4

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