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Proceedings 2024 ESPResSo meetings

Jean-Noël Grad edited this page May 14, 2024 · 13 revisions

Proceedings of the 2024 ESPResSo meetings

2024-05-14

GPU LB performance improvements

  • LB GPU now works in parallel
  • CUDA-aware MPI is still a work-in-progress
  • work on multi-GPU support has just started
  • long-term plan: multi-GPU support with 1 GPU per MPI rank and multiple shared memory threads per MPI rank via OpenMP

Multi-system ESPResSo simulations

  • multi-system simulations are now possible for almost all features
    • caveats: two systems cannot have particles with the same particle ids, Monte Carlo not yet supported
  • can be enabled with a one-liner change to system.py (see last commit in jngrad/multiverse)

2024-04-23

Planned work with Cabana

  • convert particle cells from AoS to SoA (#4754), i.e. one array per particle property
  • improves cache locality and CPU optimizations
  • use Cabana to hide optimizations

New ESPResSo requirements

  • bump all version requirements (#4905)
  • on ICP workstations, only need to update formatting and linter tools with pip3 install -r requirements.txt autopep8 pycodestyle pylint pre-commit

2024-04-02

Implementing pressure waves in LB

  • ModEMUS project: nanoparticle diffusion in hydrogel network, by Pablo Blanco (NTNU) (see Ma et al. 2018)
  • currently implemented with Langevin, plan is to use LB instead to improve accuracy
  • ultrasound streaming could be modeled with a gradient pressure via pressure boundary conditions

GPU LB

  • GPU LB with particle coupling implemented in #4734
  • requires CUDA>=12.0 to make double-precision atomicAdd() available
  • performance is degraded when using more than 1 MPI rank to communicate to the same GPU, need to look into CUDA-aware MPI

EESSI

2024-02-21

Bee 2.0 cluster

  • Thursday: HPC team meeting to discuss software stack
  • Monday: set up the software stack
  • Tuesday: online meeting with the company

MultiXscale review highlights

  • main objectives of the CoE MultiXscale:
    • EESSI: "app store" for scientific software
    • multiscale simulations with 3 pilot cases: helicopter blades turbulent flow, ultrasound imaging of living tissues, energy storage devices
    • make software pre-exascale ready
    • training on using these software
  • ongoing projects for the ICP:
    • improve scaling efficiency of ESPResSo: LJ simulations have only 50% efficiency at 1024 cores
    • teaching people how to use this software: CECAM Flagship Schools 1229 and 1324

Interactive generative modeling

LB boundaries bug report

  • LB boundaries in the waLBerla version of ESPResSo are broken when using 2 or more MPI ranks
  • the LB ghost layer doesn't contain any information about boundaries, so fluid can flow out into the neighboring LB domain, where it gets trapped into the boundary
  • more details can be found in the bug report #4859
  • the solution will require a ghost update after every call to a node/slice/shape boundary velocity setter function

2024-01-30

Propagation refactoring

  • it is now possible to choose the exact equations of motions solved for each particle
  • more combinations of integrators and thermostats are allowed
  • one can mix different types of virtual sites in the same simulation
  • a new Python interface needs to be designed (target for next meeting)

Software and hardware changes

  • CUDA 12.0 is now the default everywhere at the ICP
  • GTX 980 GPUs are being removed from ICP workstations (GTX 1000 and higher are needed for double-precision atomicAdd)
  • Python 3.12 changes the way we use the unittest module (#4852)
  • Python virtual environments becomes mandatory for pip install in Ubuntu 24.04
    • user guide needs to reflect that change

2024-01-09

New live visualizer

  • ZnDraw bridge is currently being developed for ESPResSo
  • supports live visualization in the web browser
  • the plan is to re-implement all features available in the ESPResSo OpenGL visualizer

Dropping CUDA 11 support

  • CUDA 12 will be the default in Ubuntu 24.04, due April 2024
  • CUDA 12 is required for C++20, which makes contributing to ESPResSo significantly easier (#4846)
  • compute clusters and supercomputers where ESPResSo is currently used already provide compiler toolchains compatible with CUDA 12