Acceleration-as-a-{\mu}Service: A Cloud-native Monte-Carlo Option Pricing Engine on CPUs, GPUs and Disaggregated FPGAs

Dionysios Diamantopoulos, Raphael Polig, Burkhard Ringlein, Mitra Purandare, Beat Weiss, Christoph Hagleitner, Mark Lantz, Francois Abel

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.

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