BOINC lets you help cutting-edge science research using your computer (Windows, Mac, Linux) or Android device. BOINC downloads scientific computing jobs to your computer and runs them invisibly in the background. It's easy and safe.
About 30 science projects use BOINC; examples include Einstein@Home, IBM World Community Grid, and SETI@home. These projects investigate diseases, study global warming, discover pulsars, and do many other types of scientific research.
You can participate in either of two ways:
To contribute to science areas (biomedicine, physics, astronomy, and so on) use Science United. Your computer will do work for current and future projects in those areas.
To contribute to specific projects, download BOINC and follow the directions.
BOINC is a platform for high-throughput computing on a large scale (thousands or millions of computers). It can be used for volunteer computing (using consumer devices) or grid computing (using organizational resources). It supports virtualized, parallel, and GPU-based applications.
BOINC is distributed under the LGPL open source license. It can be used for commercial purposes, and applications need not be open source.
Top 100 volunteers Statistics
New BOINC server
BOINC and Science United have moved to a new server, running up-to-date versions of Linux (Ubuntu), MariaDB, PHP, GNU tools, Mediawiki, and so on. Thanks to Jeff Cobb for overseeing this; it wasn't easy. Let me know if any problems.
2 Apr 2020, 4:28:02 UTC
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Rosetta@home studies coronavirus
Rosetta@home, from the University of Washington, is using BOINC to model important coronavirus proteins.
6 Mar 2020, 22:37:15 UTC
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Top 100 user list
The top 100 user list has been updated for the first time in several years.
26 Feb 2020, 9:27:03 UTC
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2020 BOINC Workshop
The 2020 BOINC Workshop will take place 7-10 September 2020 in Marburg, Germany.
11 Feb 2020, 17:42:12 UTC
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BOINC paper published
A paper about BOINC has been published in the Journal of Grid Computing.
16 Jan 2020, 23:24:46 UTC
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BOINC is supported by the
National Science Foundation
through awards SCI-0221529, SCI-0438443, SCI-0506411,
PHY/0555655, and OCI-0721124.
Copyright © 2020 University of California. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation.