Acceleration-as-a-µService: A Cloud-native Monte-Carlo Option Pricing Engine on CPUs, GPUs and Disaggregated FPGAs

Authors :: Dionysios Diamantopoulos
Mitra Purandare
Francois Abel
Raphael Polig
Christoph Hagleitner
Beat Weiss
Mark A. Lantz
Burkhard Ringlein
Source :: CLOUD
Publication Year :: 2021
Publisher :: Zenodo, 2021.
Abstract: 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.<br />3 pages, 6 figures

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