OpenMM Jamboree

The OpenMM team invites you to join them at an OpenMM Jamboree

Introduction to OpenMM

OpenMM is open-source software that enables molecular dynamics (MD) simulations to be accelerated on high performance computer architectures. It has demonstrated speed ups for both implicit solvent[1] and explicit solvent simulations[2] on graphics processing units (GPUs) (see benchmarks).

OpenMM has an application layer that allows non-programmers to easily and quickly run MD simulations and develop custom algorithms on GPUs. It is also a software library, enabling programmers to integrate OpenMM into their own programs.


The OpenMM Jamboree is a unique event where participants have the opportunity to engage deeply with OpenMM experts and developers on their particular OpenMM project for two solid days. Focused goals for the two days may include (but are not limited to):

  • Establishing the framework for integrating OpenMM into your own software
  • Developing a new algorithm to improve OpenMM's performance
  • Discovering why a particular OpenMM script is not giving you the answers you expect
  • Creating a new OpenMM tutorial
  • Identifying and implementing the fastest way to perform a particular calculation in OpenMM

The stimulating environment and access to OpenMM experts enable you to accelerate the progress on your project.


The workshop will be held August 22-23, 2013. The majority of the time will be open working time, with scheduled presentations from the participants at the beginning of the event and a brief update on OpenMM plans at the end of the event. Breakout lectures on common topics of interest will be given depending on participant needs and interests. See the tentative agenda for more details.

Workshop Logistics

The workshop will be held at Stanford University and is free to attend. However, registration is required and spaces are limited.

Preparing for the Workshops

For the workshop, attendees are expected to bring their own laptops with OpenMM and any other software needed for their project already installed.

Additional details (including directions, travel, & lodging info).

[1] OpenMM accelerated code running on NVIDIA GeForce GTX 280 GPU vs. conventional code with Amber9 running on Intel Xenon 2.66 GHz CPU. MS Friedrichs, et al., "Accelerating Molecular Dynamic Simulation on Graphics Processing Units," J. Comp. Chem., 2009, 30(6):864-872.
[2]Eastman, P. and Pande, V.S., "Efficient Nonbonded Interactions for Molecular Dynamics on a Graphics Processing Unit," J. Comp. Chem., 2010, 31(6):1268-1272.