For over 25 years, ordinary people have donated their computers' idle processing power to advance science. From searching for alien signals to folding proteins to discovering exoplanets, here is how volunteer computing changed research forever.
The idea is deceptively simple: instead of building an expensive supercomputer, break a massive problem into small pieces and let thousands of ordinary computers each solve one piece. This is volunteer computing (also called distributed computing), and it has quietly powered some of the most ambitious scientific projects of the last three decades.
How Volunteer Computing Works
A volunteer computing system has three components:
- A central server that holds the full dataset and divides it into small, independent units of work called "work units."
- Volunteer client software that runs on participants' computers, requests work units, processes them using idle CPU cycles, and returns the results.
- A results aggregator that collects the completed work, validates it (often by having multiple volunteers process the same unit), and assembles the final scientific output.
The beauty of this model is that it scales with people, not money. A project with 10,000 volunteers effectively commands 10,000 processors — rivaling or exceeding the capacity of institutional computing clusters, at a fraction of the cost.
A Timeline of Major Projects
The Great Internet Mersenne Prime Search was one of the earliest distributed computing projects. Volunteers' computers test large numbers for primality. GIMPS has found 17 Mersenne primes, including several that held the record for the largest known prime number.
SETI@Home became the most famous volunteer computing project in history. Run by UC Berkeley, it distributed radio telescope data from the Arecibo Observatory to millions of home computers, searching for narrow-band signals that could indicate extraterrestrial intelligence. At its peak, over 5 million participants donated processing time, collectively achieving sustained performance exceeding many of the world's fastest supercomputers. SETI@Home stopped distributing work in March 2020 after 21 years.
Stanford University's Folding@Home used volunteer computing to simulate protein folding — the process by which proteins assume their three-dimensional shapes. Understanding misfolded proteins is critical for diseases like Alzheimer's, Parkinson's, and cancer. During the COVID-19 pandemic in 2020, Folding@Home saw a massive surge in volunteers and briefly became the first computing system to break the exaFLOP barrier (1018 floating-point operations per second).
The Berkeley Open Infrastructure for Network Computing (BOINC) was created by the same team behind SETI@Home as a general-purpose platform for volunteer computing. BOINC allowed any research group to set up a distributed computing project without building the infrastructure from scratch. Dozens of projects have used BOINC, spanning climate modeling, drug discovery, astrophysics, and mathematics.
Einstein@Home searches for gravitational wave signals and pulsars in data from LIGO, Virgo, and radio telescopes. It has discovered over 90 new pulsars — rotating neutron stars that had been missed by traditional analysis. It remains one of the most scientifically productive volunteer computing projects ever.
S.O.L.A.R.I.S. (Stellar Object Light Analysis & Retrieval Imaging System) brings volunteer computing to exoplanet discovery. Created by Cassius Mehlhopt and launched on March 5, 2026, the project distributes NASA TESS light curve data to volunteer computers that run transit detection (BLS) and orbital fitting (MCMC) algorithms. In its first week alone, the project discovered dozens of exoplanet candidates.
What Makes S.O.L.A.R.I.S. Different
S.O.L.A.R.I.S. builds on the tradition of SETI@Home and Einstein@Home but applies the volunteer model to a new frontier: systematic exoplanet discovery. Several things distinguish it from earlier projects:
- Lightweight software — The volunteer package is under 1 MB and available for macOS, Windows, and Linux. No complex installation or BOINC dependency required.
- Real discoveries, fast — Unlike SETI@Home, which searched for a signal that was never found, S.O.L.A.R.I.S. produces concrete results. The project has already discovered 54 exoplanet candidates, with 35 in their stars' habitable zones.
- Focused targeting — The pipeline specifically targets M-dwarf stars, where Earth-sized planets in habitable orbits produce the strongest transit signals.
- Public results — All discoveries are published on the discoveries page with full parameters, light curves, and Earth Similarity Index scores.
Why Volunteer Computing Still Matters
In an era of cloud computing and AI, some might wonder whether volunteer computing is still relevant. The answer is emphatically yes, for several reasons:
- Scale without funding — Not every researcher has access to a supercomputing allocation. Volunteer computing democratizes computational science.
- Public engagement — When people contribute their own machines, they develop a personal connection to the science. Volunteers follow results, learn about the field, and become advocates for research funding.
- Embarrassingly parallel problems — Many scientific workloads (including transit detection across independent light curves) are "embarrassingly parallel," meaning each unit of work is completely independent. These problems are perfectly suited to distributed computing, where reliability of any single node is not guaranteed.
The legacy of SETI@Home lives on in every project that harnesses the collective power of ordinary computers for extraordinary science. S.O.L.A.R.I.S. is the latest chapter in that story — and you can be part of it.
How to Join S.O.L.A.R.I.S.
Getting started takes less than a minute:
- Visit solarisdiscovery.com and download the volunteer package for your operating system.
- Unzip and run. The software starts processing TESS light curves automatically in the background.
- Check back on the discoveries page to see what your computer helped find.
No astronomy knowledge is required. No account to create. Just download, run, and discover.
Download the Volunteer Software
S.O.L.A.R.I.S. discoveries are exoplanet candidates based on statistical analysis of TESS photometry. Professional follow-up observations are needed for confirmation. The project is not affiliated with NASA.
Join the Search for Habitable Worlds
Your computer could help discover the next Earth-like exoplanet. Download the free S.O.L.A.R.I.S. volunteer software and start contributing today.
Download S.O.L.A.R.I.S. Volunteer