Elastic Workflows in Hybrid Cloud for CAE Simulations

Srishti Dasgupta, Michael Gerndt, Babak Gholami

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Companies traditionally dependent on on-premise HPC clusters for simulations are increasingly migrating workloads to the cloud. Cloud computing offers greater flexibility in selecting processors, memory, network bandwidth, along with enhanced resource availability and scalability. Automotive companies rely on computationally intensive numerical simulation tools for CAE (Computer-Aided Engineering), particularly with the growing demand for generative design, which utilizes algorithms to automatically explore a large solution space. This work addresses the gap between the growing runtime demands of these simulations and the limitations of static HPC infrastructure by representing iterative workflows as Directed Acyclic Graphs (DAGs) and optimizing their scheduling. We propose a unified hybrid infrastructure that leverages the elasticity of cloud resources along with existing HPC clusters to maximize computational efficiency, ensure timely completion of simulations, and optimize resource utilization and costs.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE International Conference on Cloud Engineering, IC2E 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages251-252
Number of pages2
ISBN (Electronic)9798331528690
DOIs
StatePublished - 2024
Event12th IEEE International Conference on Cloud Engineering, IC2E 2024 - Paphos, Cyprus
Duration: 24 Sep 202427 Sep 2024

Publication series

NameProceedings - 2024 IEEE International Conference on Cloud Engineering, IC2E 2024

Conference

Conference12th IEEE International Conference on Cloud Engineering, IC2E 2024
Country/TerritoryCyprus
CityPaphos
Period24/09/2427/09/24

Keywords

  • CAE Workflows
  • Cloud Computing
  • High Performance Computing
  • Hybrid Infrastructures

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