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CASE STUDY

Cloud-Orchestrated HPC Pipeline for Distributed Network Simulation

Delivered scalable, on-demand simulation infrastructure capable of executing large-scale distributed workloads across dynamically provisioned compute clusters.

Situation

The client required a mechanism to execute computationally intensive simulations across distributed environments.

Solution

Designed and implemented a cloud-native orchestration pipeline for high-performance simulation workloads. The system enabled users to initiate complex simulations without direct infrastructure management.

OUTCOMES

80% setup reduction
simulation environment provisioning
70% faster execution
large-scale simulation scenarios
Established reproducible pipelines
across multi-node simulation workflows

Challenges

Coordination

  • •Multi-node job coordination

Determinism

  • •Distributed determinism gaps

Scaling

  • •Static resource allocation

Parallelism

  • •MPI execution gaps

Solutions

01

Automated Node Provisioning

Automated provisioning of compute nodes tailored to simulation requirements.

  • Provisioned compute clusters dynamically
  • Matched infrastructure to workload profiles
  • Reduced manual environment preparation
02

MPI Execution Framework

MPI-based distributed execution framework for large-scale simulation runs.

  • Enabled parallel simulation workloads
  • Supported large-scale distributed execution
  • Improved throughput efficiency across nodes
03

Job Orchestration Layer

Job orchestration layer handling scheduling, scaling, and teardown.

  • Automated scheduling and lifecycle management
  • Handled scaling across cluster environments
  • Simplified workload orchestration operations
04

Reproducible Runtime Environments

Environment standardization to ensure reproducibility across runs.

  • Standardized simulation runtime configurations
  • Ensured consistent execution across clusters