The evolution of cloud applications into loosely-coupled microservices opens new opportunities for hardware accelerators to improve workload performance. Existing accelerator techniques for cloud sacrifice the consolidation benefits of microservices. This paper presents CloudiFi, a framework to deploy and compare accelerators as a cloud service. We evaluate our framework in the context of a financial workload and present early results indicating up to 485x gains in microservice response time.

中文翻译：

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Acceleration-as-a-μService：基于 CPU、GPU 和分解 FPGA 的云原生 Monte-Carlo 期权定价引擎

云应用程序演变为松散耦合的微服务为硬件加速器提高工作负载性能开辟了新的机会。现有的云加速器技术牺牲了微服务的整合优势。本文介绍了 CloudiFi，这是一个将加速器部署和比较为云服务的框架。我们在金融工作负载的背景下评估我们的框架，并提供早期结果，表明微服务响应时间提高了 485 倍。