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Running Molecular Dynamic Simulation Workloads on Oracle Cloud Infrastructure

Gloria Lee – Cloud Engineer at Oracle

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Benefits of Running HPC Workloads on Cloud

  • Scale easily
  • Eliminate capacity issues
  • Able to burst
  • Decrease capital and operational costs
  • Eliminate need for new hardware
  • Access to latest hardware

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Reference Architecture

BM.GPU3.8 – 8x V100 NVIDIA Tensor Core

BM.GPU4.8 – 8x A100 NVIDIA Tensor Core

*Bare Metal = BM

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NVIDIA CLARA PARBARICKSGermline Pipeline

Data Used – NA12878 (link)

48G ERR194147_1.fastq.gz�49G ERR194147_2.fastq.gz

Parabricks Version

BM3.8 – v3.1.7�BM4.8 – va2.0

https://docs.nvidia.com/clara/parabricks/v3.5/text/germline_pipeline.html

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30% increase

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28% decrease

BM.GPU3.8 - $2.95 GPU/hr

BM.GPU4.8 - $3.05 GPU/hr

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GROMACS

Data Used – benchPEP (link)�benchPEP - 12 M atoms, peptides in water, 2 fs time step, all bonds constrained

GROMACS Version 2020.1

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38% increase

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NAMD

Data Used – ApoA1 (link)

ApoA1 - 92,224 atoms, periodic, PME

NAMD Version 2.13

https://www.ks.uiuc.edu/Research/namd/2.13/features.html - Contributed by Marcelo Melo, Rafael Bernardi, and Till Rudack

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32% increase

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Thank you!