设计异构架构,高效管理私有云中的FPGA资源

Julio Proaño Orellana, María Blanca Caminero, Carmen Carrión
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引用次数: 1

摘要

云计算环境中资源的高效利用是近年来吸引众多科学家的课题之一。今天,在云计算基础设施中有各种各样的计算资源可用,例如多核cpu、gpu和fpga。特别是,使用FPGA的基于加速器的架构可以为Julio Proaño Orellana, María Blanca Caminer y Carmen Carrión 166 Diseño de una arquitectura heterognea para la gestión高效的递归FPGA和云私有在云环境中的显著商业价值。FPGA器件由于具有高处理能力、可预测的延迟和低功耗而提供更好的性能。然而,在云环境中管理这些资源并非易事。在这项工作中,提出了一种旨在将fpga集成为私有云中的加速器的架构。该建议考虑了服务质量(QoS)要求。因此,QoS指标与用户的需求有关。提出的架构寻求在云环境中cpu和fpga之间的正确组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diseño de una arquitectura heterogénea para la gestión eficiente de recursos FPGA en un cloud privado
The efficient use of resources in cloud computing environments is one of the many topics that have attracted many scientists in recent years. Today there is a wide variety of computing resources available in Cloud Computing infrastructures, such as multi-core CPUs, GPUs and FPGAs. In particular, accelerator-based architectures using FPGAs can provide Julio Proaño Orellana, María Blanca Caminer y Carmen Carrión 166 Diseño de una arquitectura heterogénea para la gestión eficiente de recursos FPGA en un cloud privado significant business value in Cloud environments. FPGA devices offer better performance due to their high processing capacity with predictable latency and low power consumption. However, the management of these resources in a Cloud environment is not trivial. In this work, an architecture designed to integrate FPGAs as accelerators in a private Cloud is presented. The proposal takes into account quality of service (QoS) requirements. Thus, the QoS indicators are related to the requirements of the users. The proposed architecture seeks the right combination between CPUs and FPGAs in a Cloud environment.
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