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An Open-source Framework for Integrating Heterogeneous Resources in Private Clouds

机译:用于集成私有云中异构资源的开源框架

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Heterogeneous hardware acceleration architectures are becoming an important tool for achieving high performance in cloud computing environments. Both FPGAs and GPUs provide huge computing capabilities over large amounts of data. At the same time, energy efficiency is a big concern in nowadays computing systems. In this paper we propose a novel architecture aimed at integrating hardware accelerators into a Cloud Computing infrastructure, and making them available as a service. The proposal harnesses advances in FPGA dynamic reconfiguration and efficient virtualization technology to accelerate the execution of certain types of tasks. In particular, applications that can be described as Big Data would greatly benefit from the proposed architecture.
机译:异构硬件加速架构正在成为实现云计算环境中高性能的重要工具。 FPGA和GPU均在大量数据上提供巨大的计算能力。与此同时,能源效率是当今计算系统的一个重要问题。在本文中,我们提出了一种旨在将硬件加速器集成到云计算基础架构中的新颖架构,并使其作为服务提供。该提案利用FPGA动态重新配置和高效虚拟化技术的进步,以加速执行某些类型的任务。特别地,可以描述为大数据的应用程序将极大地受益于所提出的架构。

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