NanoHUB@Home

nanoHUB@Home
nanoHUB@Home logo
File:NanoHUB tool example.jpg Example of nanoHUB simulation tools
Project
Status	Inactive
Category	Nanotechnology, Nanoscience
Compute	CPU
Requires	VirtualBox
Development
Developer	Purdue University
Sponsor	Network for Computational Nanotechnology
Maintainer	nanoHUB team
Initial release	September 1, 2019  (7 years ago)
Discontinued	March 30, 2024  (2 years ago)
Software
Written in	C++, BOINC
Operating system	Windows, Linux, macOS
Size	Variable virtual machine workloads
BOINC statistics
Stats as of	June 18, 2021  (5 years ago)
Active users	0
Total users	705
Active hosts	0
Total hosts	1,288
Metadata
Website	https://boinc.nanohub.org/nanoHUB_at_home/
License	Mixed; primarily open-source scientific software

[[File:{{#setmainimage:Nanohub.png}}|alt=logo image|center|frameless]]

nanoHUB@Home was a BOINC-based volunteer computing project operated through nanoHUB, an online science and engineering gateway focused on nanoscience and nanotechnology. The project allowed volunteers worldwide to donate unused CPU resources to assist with computational nanotechnology simulations and machine learning research.

The project was connected to the broader nanoHUB cyberinfrastructure developed by the Network for Computational Nanotechnology (NCN) at Purdue University. nanoHUB itself became one of the largest scientific gateways dedicated to nanotechnology research and education, serving researchers, educators, and students in more than 170 countries.

Why nanoHUB@Home?

Nanotechnology research often requires large-scale computational simulations involving quantum mechanics, materials science, semiconductor physics, molecular dynamics, and nanoscale device modeling. Many of these calculations are computationally intensive and can take hours or days on traditional systems.

nanoHUB@Home was created to supplement the computing resources available to nanoHUB users by leveraging distributed volunteer computing through BOINC. Instead of relying solely on centralized clusters or cloud resources, simulations could be distributed across thousands of volunteer computers around the world.

The project also supported experimental machine learning efforts designed to generate predictive models from large collections of simulation results. According to Purdue researchers, this enabled approximate simulation results to be generated rapidly while reducing the need to rerun expensive calculations repeatedly.

Goal

The primary goal of nanoHUB@Home was to connect volunteer computing to the simulation needs of nanoHUB, an online science gateway focused on nanotechnology. nanoHUB is operated by the Network for Computational Nanotechnology, headquartered at Purdue University.

The project aimed to:

• Accelerate nanotechnology simulations
• Expand computational resources available to researchers
• Improve educational access to simulation tools
• Support machine learning and predictive modeling research
• Demonstrate the usefulness of volunteer computing for computational nanoscience

Methods

nanoHUB@Home used the BOINC middleware platform developed at the University of California, Berkeley. BOINC distributes computational work units to volunteers and validates returned results using redundancy and cross-checking techniques.

File:Boinc logo black.jpg

The BOINC distributed computing platform used by nanoHUB@Home.

Unlike many traditional BOINC projects, nanoHUB@Home required VirtualBox in addition to the BOINC client. Virtual machines were used because nanoHUB simulation tools often required complex scientific software environments and dependencies that would have been difficult to deploy natively across many operating systems and hardware combinations.

The project supported over 200 simulation tools deployed through nanoHUB.org. These applications covered a broad range of topics including:

• Semiconductor device simulation
• Quantum transport
• Nanomaterials
• Nanoelectronics
• Molecular modeling
• Materials engineering

The distributed infrastructure enabled volunteers to process workloads generated by educational and research users of nanoHUB. Purdue engineers noted that volunteer systems processed jobs significantly faster than many traditional computing venues used by the project.

The project also contributed toward building machine learning datasets capable of interpolating simulation results across parameter spaces.

History

The underlying nanoHUB platform evolved from earlier Purdue University initiatives dating back to the 1990s. The original PUNCH project later evolved into nanoHUB, which officially launched in 1998.

In 2002, the National Science Foundation funded the Network for Computational Nanotechnology to expand nanoHUB into a major scientific gateway.

nanoHUB@Home itself launched publicly in 2019. Early project news updates documented rapid consumption of work units by volunteers and infrastructure upgrades required to keep pace with demand.

Archived server status pages indicate that the project became inactive around 2021.

See also

• BOINC
• nanoHUB
• Volunteer computing
• Distributed computing
• Network for Computational Nanotechnology