Compute for Science

  • BOINC lets you help cutting-edge science research using your computer. The BOINC app, running on your computer, downloads scientific computing jobs and runs them invisibly in the background. It's easy and safe.

  • About 30 science projects use BOINC. They investigate diseases, study climate change, discover pulsars, and do many other types of scientific research.

  • The BOINC and Science United projects are located at the University of California, Berkeley and are supported by the National Science Foundation.
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To contribute to science areas (biomedicine, physics, astronomy, and so on) use Science United. Your computer will help current and future projects in the areas you choose.

Join Science United

Or download BOINC and choose specific projects. This will let you participate in competitions and systems like Gridcoin.

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News from BOINC Projects

[Universe@Home] Shutdown on 19 July (Friday afternoon)

Dear All,

This email is to inform you of a planned power and network outage in the whole CAMK building scheduled for Friday, July 19th, after 4 pm (CET). The outage is necessary to connect photovoltaic component to our power circuits.

We plan to minimize the downtime, but we cannot make any promises. We were told that all critical works should be finalized on the same day, unfortunately, it may take twice the time that our UPS can support.

View article · Thu, 18 Jul 2024 14:58:40 +0000

[YAFU] Aliquot sequence 2896896 has terminated!!!

Aliquot sequence 2896896 has terminated!!!

View article · Mon, 17 Jun 2024 17:31:55 +0000

[] New batch going out to volunteer's machines: STORMS, investigating how low-pressure systems may change in the future

Project: Quantifying controls on the intensity, variability and impacts of extreme European STORMS
by Clément Bouvier and Victoria Sinclair (University of Helsinki)

Throughout the year, low-pressure systems regularly move across Europe, usually from west to east, bringing cloud, rain and windy weather. Sometimes these weather systems can become very intense, and the winds and rain associated with them can cause damage to buildings and infrastructure, flooding, and can disrupt electricity supply and travel. Although the short-term weather forecasts of these storms are now quite accurate, it still remains uncertain how these storms, and their impacts, are likely to change in the future as our climate changes. Some of this uncertainty is because our understanding of what controls the strength and impacts of these storms is incomplete.

The aim of this project is to understand what controls the strength and structure of these low-pressure systems. We will quantify how the atmospheric state that the low-pressure systems develop in affects the strength and structure of these low-pressure systems. This atmospheric state can be described by various parameters, for example, the mean temperature, moisture content, and upper-level wind speeds (i.e. the strength and width of the jet stream). Since there are lots of different parameters we want to study (not just the ones described above), we want to do lots of experiments in a high controlled manner. Therefore, we will run a large ensemble of simulations of idealised low-pressure systems using the numerical weather prediction model OpenIFS. Although the simulations are idealised, the weather systems that develop look very like real weather systems that we observed in reality. Each ensemble member differs in its initial atmospheric state, and we choose these initial states to cover everything from the current climate to past pre-industrial climates to the most extreme future climate projections. This is exciting because although idealised simulations of low-pressure systems have been performed before, this is the first time that such an extensive exploration of the parameter space will be conducted.

Once we have the results from the large ensemble, we will calculate different measures of the strength of the storms and then use machine learning techniques to see how these relate to the initial states. Our results will hopefully increase in confidence in how these storms and their impacts will change in the future.

Technical information:
Run time: between 8 and 9 hours for 1 workunit (1 core, Xeon Gold 6230)
Number of files: 480 files
Maximum size of individual files: 1.3MB for 2D fields output files, 13.3MB for spectral output files, 7.1MB for 3D fields output files
Total disk load: 2.0GB

View article · Wed, 12 Jun 2024 19:58:43 +0000

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Windows malware reported
We have received several reports of malware that installs and runs the 8.0.2 BOINC client on Windows computers. We are investigating this; we currently don't know how the malware works or how to defeat it. We'll report whatever we learn here.

This is not a vulnerability in BOINC; rather, it's malware that illegally installs BOINC.
26 Jun 2024, 23:01:38 UTC · Discuss

User Manual moved to Github
As part of our effort to move documentation to Github, we have moved the User Manual from Mediawiki on the UCB server to Markdown on Github.
15 Jun 2024, 21:26:02 UTC · Discuss

BOINC client 8.0.2 released
The 8.0.2 version of the BOINC client has been released for all platforms. Download it here. Release notes are here.
30 May 2024, 11:07:49 UTC · Discuss

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