You may be trying to access this site from a secured browser on the server. Please enable scripts and reload this page.
Turn on more accessible mode
Turn off more accessible mode
Skip Ribbon Commands
Skip to main content
Turn off Animations
Turn on Animations
Use SHIFT+ENTER to open the menu (new window).
To navigate through the Ribbon, use standard browser navigation keys. To skip between groups, use Ctrl+LEFT or Ctrl+RIGHT. To jump to the first Ribbon tab use Ctrl+[. To jump to the last selected command use Ctrl+]. To activate a command, use Enter.
Tab 1 of 3.
Tab 2 of 3.
Tab 3 of 3.
ComPASS and SciDAC-3 Home
ComPASS Collaboration for SciDAC-3
ComPASS Talks for SciDAC-3
ComPASS Publications for SciDAC-3
SciDAC Breakthroughs for SciDAC-3
ComPASS Codes for SciDAC-3
ComPASS and SciDAC-2 Home
ComPASS Collaboration for SciDAC-2
ComPASS Talks for SciDAC-2
ComPASS Publications for SciDAC-2
SciDAC Breakthroughs for SciDAC-2
ComPASS Codes for SciDAC-2
For collaborators only
The ComPASS Project
High Performance Computing for Accelerator Design and Optimization
Particle accelerators are critical to scientific discovery, both nationally and worldwide. The development and optimization of accelerators are essential for advancing our understanding of the fundamental properties of matter, energy, space and time. The mission of the Community Project for Accelerator Science and Simulation (ComPASS) collaboration is to develop and deploy the state-of-the-art accelerator modeling tools necessary to advance new designs, concepts and technologies for particle accelerators.
ComPASS was formed from members of the Accelerator Science & Technology (AST) SciDAC-1 project and is a partnership of computational accelerator physicists, applied mathematicians, and computer scientists. During the 2008-2012 period, funded by the SciDAC-2 program, ComPASS has developed accelerator modeling tools able to efficiently utilize high-performance computing (HPC), and these have been employed to tackle some of the most difficult accelerator science problems. ComPASS codes obtain good scalability and parallel performance efficiency to several tens of thousands of processors.
Milestones and Announcements
Synergia talk at 2014 SIAM Conference on Parallel Processing for Scientific Computing
Synergia in Fermilab Today
Synergia adds support for composite jobs
MadX support added to Synergia
ComPASS collaboration awarded SciDAC-3 funding
GPU- Accelerated Synergia talk
Multicore Optimization for Synergia2
2010 ComPASS all-hands meeting
ComPASS scientists win a 2010 OASCR visualization award
Workshop on ComPASS finite-element electromagnetic code suite ACE3P- CW10
1 - 10
Document Set Version History
Send To other location