LHC@home
LHC@home is a volunteer distributed computing project operated by CERN using the BOINC platform. The project allows volunteers worldwide to donate unused computing resources to help physicists study particle physics, accelerator physics, and simulations related to the Large Hadron Collider (LHC).[1]
Wikipedia page
History
LHC@home was launched on 1 September 2004 as one of the earliest large-scale scientific volunteer computing projects associated with CERN.[2] The original application, SixTrack, was created to study the long-term stability of particle beams inside the Large Hadron Collider.
The project rapidly attracted thousands of volunteers shortly after launch. CERN used the distributed simulations to validate beam stability calculations and machine configurations for the LHC before its activation.[3]
Over time, additional applications were added to support detector simulations and theoretical physics workloads, many of which require virtualization technologies such as VirtualBox or Docker containers.
Goal
The primary goal of LHC@home is to assist CERN physicists with computationally intensive simulations related to particle accelerators and detector experiments.[4]
Project objectives include:
- Helping design, optimize, and maintain the Large Hadron Collider
- Simulating particle beam dynamics
- Supporting detector experiment simulations
- Comparing theoretical predictions with experimental data
- Assisting research into dark matter, antimatter, and fundamental particles
Applications
SixTrack
SixTrack is the original LHC@home application and performs accelerator physics simulations to analyze the stability of proton beams circulating in the LHC.[5]
The software was developed by physicists in CERN's Accelerators and Beams Department. Results generated by volunteers have been used to improve understanding of beam dynamics and long-term particle stability inside accelerator rings.
ATLAS
The ATLAS@home application allows volunteers to run simulations for the ATLAS experiment, one of the largest particle detector experiments at CERN.[6]
ATLAS tasks often use virtualization through VirtualBox or native Linux execution environments.
CMS
CMS@home supports simulations for the Compact Muon Solenoid experiment.[7]
The application processes Monte Carlo simulation workloads and event reconstruction tasks related to proton collision data.
LHCb / Beauty
The LHCb (Beauty) application studied the decay properties of beauty quarks and antimatter asymmetry.[8]
Volunteer participation for LHCb workloads was paused indefinitely in November 2018.[9]
Test4Theory
Test4Theory was introduced in 2011 and uses virtualization technologies to run simulations of high-energy particle collisions.[10]
The application uses CERNVM and later Docker-based infrastructure to provide portable scientific environments across volunteer computers.
Xtrack
In 2025 CERN introduced the experimental Xtrack application for beta testing on the LHC@home platform.[11]
Xtrack is intended as a next-generation beam dynamics simulation framework.
Technology
LHC@home uses the BOINC middleware platform developed at the University of California, Berkeley.[12]
Several applications require:
- Hardware virtualization support
- VirtualBox
- Docker containers
- CERNVM virtual machine images
Many workloads distribute large datasets and may require several gigabytes of storage and memory.
Scientific impact
The project has contributed to accelerator optimization and detector simulations associated with the Large Hadron Collider.[13]
Volunteer computing resources supplement CERN's Worldwide LHC Computing Grid infrastructure by providing additional computational power for simulation workloads.
Community
LHC@home maintains active message boards and volunteer discussion forums where users discuss optimization, virtualization setup, workunit availability, and troubleshooting.[14]
Community discussions on Reddit and BOINC forums frequently cover VirtualBox compatibility, Docker support, Linux configuration, and long-running Theory tasks.[15]
Project statistics
As of 2024–2026, LHC@home reported approximately:[16]
- Over 178,000 registered users
- More than 577,000 participating hosts
- Around 52 TFLOPS of computing performance
- Thousands of active volunteer systems worldwide
Scientific publications
The following publications and papers are associated with BOINC and LHC@home:
- Anderson, D.P. BOINC: A System for Public-Resource Computing and Storage. Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing, 2004.
- C. Aguado Sanchez et al. LHC@home: Distributed Computing for LHC Accelerator Design. CERN publications.
- D. P. Anderson et al. Public-resource computing: Volunteer computing. Communications of the ACM.
- Test4Theory collaboration papers related to volunteer cloud computing and Monte Carlo event simulation.
Additional publications are listed at:
See also
External links
References
- ↑ LHC@home official website. CERN. Retrieved 2026-05-21}.
- ↑ LHC@home. Wikipedia. Retrieved 2026-05-21}.
- ↑ LHC@home. CERN. Retrieved 2026-05-21}.
- ↑ Welcome to LHC@home. CERN. Retrieved 2026-05-21}.
- ↑ SixTrack. CERN. Retrieved 2026-05-21}.
- ↑ ATLAS@home. CERN. Retrieved 2026-05-21}.
- ↑ CMS@home. CERN. Retrieved 2026-05-21}.
- ↑ LHCb project page. CERN. Retrieved 2026-05-21}.
- ↑ (2018-11-19}).Pausing Submission of LHCb Applications. CERN. Retrieved 2026-05-21}.
- ↑ Test4Theory. CERN. Retrieved 2026-05-21}.
- ↑ LHC@home News. CERN. Retrieved 2026-05-21}.
- ↑ BOINC. University of California, Berkeley. Retrieved 2026-05-21}.
- ↑ The Worldwide LHC Computing Grid. CERN. Retrieved 2026-05-21}.
- ↑ LHC@home forums. CERN. Retrieved 2026-05-21}.
- ↑ LHC@home constant computation error discussion. Reddit. Retrieved 2026-05-21}.
- ↑ LHC@home server status. CERN. Retrieved 2026-05-21}.