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The CODES Project

Discrete event driven simulation of HPC system architectures and subsystems has emerged as a productive and cost-effective means to evaluating potential HPC designs, along with capabilities for executing simulations of extreme scale systems. The goal of the CODES project is use highly parallel simulation to explore the design of exascale storage/network architectures and distributed data-intensive science facilities.

Our simulations build upon the Rensselaer Optimistic Simulation System (ROSS), a discrete event simulation framework that allows simulations to be run in parallel, decreasing the simulation run time of massive simulations to hours. We are using ROSS to explore topics including large-scale storage systems, I/O workloads, HPC network fabrics, distributed science systems, and data-intensive computation environments.

Historically, the CODES project has been a collaboration between the Mathematics and Computer Science department at Argonne National Laboratory and Rensselaer Polytechnic Institute. We have collaborated with researchers at University of California at Davis to come up with novel methods for analysis and visualizations of large-scale event driven simulations. We have also collaborated with Lawrence Livermore National Laboratory for modeling HPC interconnect systems.

Tutorials and Introductions:

• PDES and ROSS: Starting from Scratch
• CODES Overivew
• Installing CODES
• Synthetic Workload Development
• CODES Inner Workings: How does CODES actually work?
• CODES Development Ideology
• Execution Example: 1D Dragonfly

Contributing To CODES:

• Creating a Contribution
• Join our Mailing List

Links

• Installation Guide

• CODES/ROSS resources

• Best practices for developing CODES models

• Optimistic Performance Tuning Tips

• Workload generator

  • I/O workloads
  • Synthetic network workloads
  • DUMPI application traces
  • CoNCePTuaL Domain Specific Language

• Translating collectives via Cortex

• CODES network modeling

  • Multi-rail fat tree network model
  • Dragonfly network model(Legacy Dally style)
  • Dragonfly network model(Cray style)
  • Torus network model
  • Slim fly network model
  • LogGP network model
  • Simple-net/SimpleP2P network model
  • Dragonfly Plus Network Model

• Storage/utility models

• Generating job allocations

• CODES/ROSS LP Configuration

• Quick Start Interconnect

• Building on Theta

• Known Issues

• Using ROSS Instrumentation with CODES

• Quality of Service quick-start

• [TODO: Add details on tracking memory consumption ]