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

Authors :
Diamantopoulos, Dionysios
Polig, Raphael
Ringlein, Burkhard
Purandare, Mitra
Weiss, Beat
Hagleitner, Christoph
Lantz, Mark
Abel, Francois
Publication Year :
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 />Comment: 3 pages, 6 figures

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2106.06293
Document Type :
Working Paper