# kb

id: gridcoin-20260505-0
file: data/en.wikipedia.org/wiki/Gridcoin-0.md
category: reference
title: Gridcoin
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Gridcoin
date_saved: 2026-05-05T04:12:00.566746+00:00
instance: kb-cron
parent: gridcoin-20260505-0
summary:
Gridcoin (abbreviation: GRC) is a cryptocurrency which rewards volunteer computing performed on the BOINC platform. BOINC was originally developed to support SETI@home, but has also been used for research in other areas. Gridcoin was created on October 16, 2013, by Rob Halförd. Initially using the energy-intensive proof of work, as used by Bitcoin, Gridcoin migrated to a proof of stake protocol in 2014, similar to Peercoin, in an attempt to address the environmental impact of cryptocurrency mining. An exploit was demonstrated in August 2017 that revealed the email addresses of Gridcoin users and allowed the theft of other users' work. The research team had disclosed the vulnerability to the developers in September 2016, and a patch was released in March 2017 with version 3.5.8.7. However the implementation of the fix introduced other issues. The implementation Gridcoin-Research was created as a fork of Bitcoin and Peercoin and is licensed under the MIT License. It uses Qt 5 for its user interface and prebuilt executables of the wallet are distributed for Windows, macOS, and Debian. == References == == External links == Official website


id: gridrepublic-20260505-0
file: data/en.wikipedia.org/wiki/GridRepublic-0.md
category: reference
title: GridRepublic
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/GridRepublic
date_saved: 2026-05-05T04:12:01.716639+00:00
instance: kb-cron
parent: gridrepublic-20260505-0
summary:
GridRepublic is a BOINC Account Manager. It focuses on creating a clean and simple way to join and interact with BOINC. GridRepublic was started with a mission to raise public awareness and participation in volunteer computing with BOINC. GridRepublic was formed in 2004 by Matthew Blumberg as a mechanism to control the multiple projects from one place. The code for the BOINC software had to be redesigned to allow for the Account Manager system to be implemented. GridRepublic's website has won numerous awards including being named finalist at the 2007 SXSW Interactive Festival and the 2008 Stockholm Challenge. GridRepublic has also been the recipients of a Google Grant allowing for advertising through Google. == Projects == GridRepublic supports a wide range of the BOINC projects. The list of supported projects and the development status of projects are periodically updated. Some of its popular projects include: Climateprediction.net Climate change modeling on personal computers Einstein@home Pulsar stars from LIGO and GEO data Rosetta@home Protein folding research SETI@home Searching radio and light data for signs of intelligent life == Software == GridRepublic is a non-profit organisation, an online application, and software. The software is open source and a customized version of BOINC. ==


id: hashclash-20260505-0
file: data/en.wikipedia.org/wiki/HashClash-0.md
category: reference
title: HashClash
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/HashClash
date_saved: 2026-05-05T04:12:02.985444+00:00
instance: kb-cron
parent: hashclash-20260505-0
summary:
HashClash was a volunteer computing project running on the Berkeley Open Infrastructure for Network Computing (BOINC) software platform to find collisions in the MD5 hash algorithm. It was based at Department of Mathematics and Computer Science at the Eindhoven University of Technology, and Marc Stevens initiated the project as part of his master's degree thesis. The project ended after Stevens defended his M.Sc. thesis in June 2007. However, SHA1 was added later, and the code repository was ported to git in 2017. The project was used to create a rogue certificate authority certificate in 2009. == See also == Berkeley Open Infrastructure for Network Computing (BOINC) List of volunteer computing projects == References == == External links == HashClash HashClash at Stevens' home page Create your own MD5 collisions on AWS, Nat McHugh's blog


id: help-conquer-cancer-20260505-0
file: data/en.wikipedia.org/wiki/Help_Conquer_Cancer-0.md
category: reference
title: Help Conquer Cancer
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Help_Conquer_Cancer
date_saved: 2026-05-05T04:12:04.139358+00:00
instance: kb-cron
parent: help-conquer-cancer-20260505-0
summary:
Help Conquer Cancer is a volunteer computing project that runs on the BOINC platform. It is a joint project of the Ontario Cancer Institute and the Hauptman-Woodward Medical Research Institute. It is also the first project under World Community Grid to run with a GPU counterpart. == Project Purpose == The goal is to enhance the efficiency of protein X-ray crystallography, which will enable researchers to determine the structure of many cancer-related proteins faster. This will lead to improving the understanding of the function of these proteins, and accelerate the development of new pharmaceutical drugs. == See also == BOINC List of volunteer computing projects World Community Grid == References == == External links == Help Conquer Cancer Archived 2010-01-17 at the Wayback Machine


id: help-cure-muscular-dystrophy-20260505-0
file: data/en.wikipedia.org/wiki/Help_Cure_Muscular_Dystrophy-0.md
category: reference
title: Help Cure Muscular Dystrophy
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Help_Cure_Muscular_Dystrophy
date_saved: 2026-05-05T04:12:05.359382+00:00
instance: kb-cron
parent: help-cure-muscular-dystrophy-20260505-0
summary:
Help Cure Muscular Dystrophy is a volunteer computing project that runs on the BOINC platform. It is a joint effort of the French muscular dystrophy charity, L'Association française contre les myopathies; and L'Institut de biologie moléculaire et cellulaire (Molecular and Cellular Biology Institute). == Project purpose == Help Cure Muscular Dystrophy studies the function of various proteins that are produced by the two hundred genes known to be involved in the production of neuromuscular proteins by modelling the protein-protein interactions of the forty thousand relevant proteins that are listed in the Protein Data Bank. More specifically, it models how a protein would be affected when another protein or a ligand docks with it. == Scientific publications == Decrypting protein surfaces by combining evolution, geometry, and molecular docking. Proteins: Structure, Function, and Bioinformatics (2019). Hidden partners: Using cross-docking calculations to predict binding sites for proteins with multiple interactions. Proteins: Structure, Function, and Bioinformatics (2018). Protein social behavior makes a stronger signal for partner identification than surface geometry. Proteins: Structure, Function, and Bioinformatics (2017). Great interactions: How binding incorrect partners can teach us about protein recognition and function. Proteins: Structure, Function, and Bioinformatics (2016). Protein-Protein Interactions in a Crowded Environment: An Analysis


id: help-defeat-cancer-20260505-0
file: data/en.wikipedia.org/wiki/Help_Defeat_Cancer-0.md
category: reference
title: Help Defeat Cancer
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Help_Defeat_Cancer
date_saved: 2026-05-05T04:12:10.670864+00:00
instance: kb-cron
parent: help-defeat-cancer-20260505-0
summary:
The Help Defeat Cancer project ran on World Community Grid from July 20, 2006, to April 2007. It sought to improve the ability of medical professionals to determine the best treatment options for patients with cancers of the breast, head, or neck. The project worked by identifying visual patterns in large numbers of tissue microarrays taken from archived tissue samples. By correlating the pattern data with information about treatment and patient outcome, the results of this project could help provide better targeted treatment options. == References == == External links == World Community Grid - Research - Help Defeat Cancer


id: human-proteome-folding-project-20260505-0
file: data/en.wikipedia.org/wiki/Human_Proteome_Folding_Project-0.md
category: reference
title: Human Proteome Folding Project
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Human_Proteome_Folding_Project
date_saved: 2026-05-05T04:12:11.885664+00:00
instance: kb-cron
parent: human-proteome-folding-project-20260505-0
summary:
The Human Proteome Folding Project (HPF) is a collaborative effort between New York University (Bonneau Lab), the Institute for Systems Biology (ISB) and the University of Washington (Baker Lab), using the Rosetta software developed by the Rosetta Commons. The project is managed by the Bonneau lab. HPF Phase 1 applied Rosetta v4.2x software on the human genome and 89 others, starting in November 2004. Phase 1 ended in July 2006. HPF Phase 2 (HPF2) applies the Rosetta v4.8x software in higher resolution, "full atom refinement" mode, concentrating on cancer biomarkers (proteins found at dramatically increased levels in cancer tissues), human secreted proteins and malaria. Phase 1 ran on two volunteer computing grids: on United Devices' grid.org, and on the World Community Grid, an IBM philanthropic initiative. Phase 2 of the project ran exclusively on the World Community Grid; it terminated in 2013 after more than 9 years of IBM involvement. The Institute for Systems Biology will use the results of the computations within its larger research efforts. == Publications == == See also == BOINC Folding@home Foldit Human proteome project List of volunteer computing projects == References == == External links == HPF page at WCG HPF updates by Dr.


id: ibercivis-20260505-0
file: data/en.wikipedia.org/wiki/Ibercivis-0.md
category: reference
title: Ibercivis
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Ibercivis
date_saved: 2026-05-05T04:12:13.078637+00:00
instance: kb-cron
parent: ibercivis-20260505-0
summary:
Ibercivis was a volunteer computing platform which allows internet users to participate in scientific research by donating unused computer cycles to run scientific simulations and other tasks. The original project, which became operational in 2008, was a scientific collaboration between the Portuguese and Spanish governments, but it is open to the general public and scientific community, both within and beyond the Iberian Peninsula. The project's name is a portmanteau of Iberia and the Latin word civis, meaning 'citizen'. In April 2020, the volunteer computing platform was restarted by the Ibercivis Foundation and the Spanish National Research Council in order to screen existing drugs for antiviral activity against Severe acute respiratory syndrome coronavirus 2, the causative agent of the COVID-19 pandemic. == History == Ibercivis was developed in Spain with the cooperation of the Institute of Biocomputation and Physics of Complex Systems at the University of Zaragoza, CIEMAT, CETA-CIEMAT, the Spanish National Research Council (CSIC) and RedIris. The project tasks are issued by different scientific and technological centers in Spain with the aim of creating a functional platform for volunteer-based scientific computing. The project is a European counterpart to the successful United States-based SETI@home and Berkeley Open Infrastructure for Network Computing


id: ibercivis-20260505-1
file: data/en.wikipedia.org/wiki/Ibercivis-1.md
category: reference
title: Ibercivis
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Ibercivis
date_saved: 2026-05-05T04:12:13.078637+00:00
instance: kb-cron
parent: ibercivis-20260505-0
summary:
Fusion: a star on your screen: this application helped scientists at the Research Center for Energy Environment and Technology (CIEMAT) and at the Institute for Biocomputation and Physics of Complex Systems (BIFI) perform simulations of the plasmas that will be produced in the International Thermonuclear Experimental Reactor (ITER). The ITER project, which will begin operation in 2018, seeks to make nuclear fusion power a reality, replicating on Earth conditions typically found inside stars. Docking: looking for anti-cancer drugs: the Docking application assisted the search for new medicines through the simulation of protein docking. The Bioinformatics Unit of the Centro de Biología Molecular Severo Ochoa (CSIC-UAM) developed a platform to allow the automatic simulation of interactions of proteins and small molecules. Its purpose was to find effective drugs to treat serious illnesses, such as cancer. Materials: simulation of magnetic systems: the Materials application aided physicists from the Universidad Complutense de Madrid, Universidad de Extremadura and the Institute for Biocomputation and Physics of Complex Systems in discovering how non-magnetic impurities in magnetic materials modify the properties of their transition from a magnetic state to a non-magnetic one. The knowledge of these transitions is important not only from a theoretical point of view


id: the-lattice-project-20260505-0
file: data/en.wikipedia.org/wiki/The_Lattice_Project-0.md
category: reference
title: The Lattice Project
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/The_Lattice_Project
date_saved: 2026-05-05T04:12:14.866115+00:00
instance: kb-cron
parent: the-lattice-project-20260505-0
summary:
The Lattice Project was a volunteer computing project that combined computing resources, Grid middleware, specialized scientific application software and web services into a comprehensive Grid computing system for scientific analysis. It ran the Genetic Algorithm for Rapid Likelihood Inference (GARLI) software to determine the relationships between different genetic samples. A major aspect of the project makes use of the Berkeley Open Infrastructure for Network Computing (BOINC) platform. The Lattice Project maintained a separate BOINC web site, but the site is dead as of this writing, causing this project to shut down because BOINC depends on this website to get setup information to set this project up on its clients. == References == == External links == The Lattice Project website archive


id: leiden-classical-20260505-0
file: data/en.wikipedia.org/wiki/Leiden_Classical-0.md
category: reference
title: Leiden Classical
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Leiden_Classical
date_saved: 2026-05-05T04:12:16.191176+00:00
instance: kb-cron
parent: leiden-classical-20260505-0
summary:
Leiden Classical was a volunteer computing project run by the Theoretical Chemistry Department of the Leiden Institute of Chemistry at Leiden University. Leiden Classical used the BOINC system, and enabled scientists or science students to submit their own test simulations of various molecules and atoms in a classical mechanics environment. ClassicalDynamics is a program (and with it a library) completely written in C++. The library is covered by the LGPL license and the main program is covered by the GPL. The project shut down on June 5, 2018. == Joining the project == Participation was possible via the BOINC manager. Using this software one was once able to create an account in the project. Then someone can make a model of a dynamic system and simulation participating run. There are several models possible, to interactions between molecules or planets. == User Submitted Calculations == To create a personal calculation, a user's model had to have six defined variables: Colors of the molecules Box in which the model is run Number of particles in the simulation Interaction between the particles Gravity Coulomb force Lennard-Jones interaction Morse interaction Rydberg interaction Harmonic spirit Harmonic bending Recurrent torsion interactions Distance conditions Confirmation parameter(s) ==


id: lhc-home-20260505-0
file: data/en.wikipedia.org/wiki/LHC@home-0.md
category: reference
title: LHC@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/LHC@home
date_saved: 2026-05-05T04:12:17.415206+00:00
instance: kb-cron
parent: lhc-home-20260505-0
summary:
LHC@home is a volunteer computing project researching particle physics that uses the Berkeley Open Infrastructure for Network Computing (BOINC) platform. The project's computing power is utilized by physicists at CERN in support of the Large Hadron Collider and other experimental particle accelerators. The project is run with the help of over 1,260 active volunteer users contributing more than 3,000 computers processing at a combined 52 teraFLOPS as of September 2024. The project is cross-platform, and runs on a variety of computer hardware configurations. == Applications == The LHC@home project currently runs four applications—Atlas, CMS, SixTrack, and Test4Theory—which deal with different aspects of research conducted in LHC such as calculating particle beam stability and simulating proton collisions. Atlas, CMS, and Test4Theory use VirtualBox, an x86 virtualization software package. === Atlas === Atlas uses volunteer computing power to run simulations of the ATLAS experiment. It can be run in VirtualBox or natively on Linux. === Beauty === Beauty (LHCb) compared the decay of bottom quarks (b) and bottom antiquarks (b), which also known as beauty quarks. The participation of volunteers in the application was suspended indefinitely on 19 November 2018. === CMS === The CMS application (formerly a standalone project called CMS@Home)


id: malaria-control-project-20260505-0
file: data/en.wikipedia.org/wiki/Malaria_Control_Project-0.md
category: reference
title: Malaria Control Project
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Malaria_Control_Project
date_saved: 2026-05-05T04:12:18.608257+00:00
instance: kb-cron
parent: malaria-control-project-20260505-0
summary:
malariacontrol.net was a volunteer computing project to simulate the transmission dynamics and health effects of malaria. It was part of the Africa@home project. The project was terminated on 21 June 2016. == History == The malariacontrol.net domain name was first registered on 19 May 2005 under Swiss Tropical Institute. This project was under Africa@home where the latter was conceived and developed by European Organization for Nuclear Research (CERN). malariacontrol.net was the first to use volunteer computing to model diseases. The model simulates malaria infection in 50,000 to 100,000 people. Each work unit lasted for an hour in average personal computers and the results were returned to University of Geneva for evaluation by researchers. malariacontrol.net ran all the simulations by using stochastic simulation model. Since 4 November 2010, using the financial support from Bill & Melinda Gates Foundation, Malariacontrol.net developed an open-source software named "Open Malaria" which can be used to simulate outcomes in various types of malaria transmission settings. On 21 June 2016, malariacontrol.net announced that the project has been terminated due to financial constraints in upgrading their servers for further volunteer computing operations. == Impact == Over 10 years, malariacontrol.net has produced 30 peer-reviewed articles. In 2008, among the


id: milkyway-home-20260505-0
file: data/en.wikipedia.org/wiki/MilkyWay@home-0.md
category: reference
title: MilkyWay@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MilkyWay@home
date_saved: 2026-05-05T04:12:19.924258+00:00
instance: kb-cron
parent: milkyway-home-20260505-0
summary:
MilkyWay@home is a volunteer computing project in the astrophysics category, running on the Berkeley Open Infrastructure for Network Computing (BOINC) platform. Using spare computing power from over 38,000 computers run by over 27,000 active volunteers as of November 2011, the MilkyWay@home project aims to generate accurate three-dimensional dynamic models of stellar streams in the immediate vicinity of the Milky Way. With SETI@home and Einstein@home, it is the third computing project of this type that has the investigation of phenomena in interstellar space as its primary purpose. Its secondary objective is to develop and optimize algorithms for volunteer computing. == Purpose and design == MilkyWay@home is a collaboration between the Rensselaer Polytechnic Institute's departments of Computer Science and Physics, Applied Physics and Astronomy and is supported by the U.S. National Science Foundation. It is operated by a team that includes astrophysicist Heidi Jo Newberg and computer scientists Malik Magdon-Ismail, Bolesław Szymański and Carlos A. Varela. By mid-2009 the project's main astrophysical interest is in the Sagittarius Stream, an immense stellar stream emanating from the Sagittarius Dwarf Spheroidal Galaxy that wraps around the Milky Way. Mapping such interstellar streams and their dynamics with high accuracy may provide crucial clues for understanding the


id: milkyway-home-20260505-1
file: data/en.wikipedia.org/wiki/MilkyWay@home-1.md
category: reference
title: MilkyWay@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MilkyWay@home
date_saved: 2026-05-05T04:12:19.924258+00:00
instance: kb-cron
parent: milkyway-home-20260505-0
summary:
Mendelsohn, Eric J.; Newberg, Heidi Jo; Shelton, Siddhartha; Widrow, Lawrence M.; Thompson, Jeffery M.; Grillmair, Carl J. (1 February 2022). "Estimate of the Mass and Radial Profile of the Orphan–Chenab Stream's Dwarf-galaxy Progenitor Using MilkyWay@home". The Astrophysical Journal. 926 (2): 106. arXiv:2201.03637. Bibcode:2022ApJ...926..106M. doi:10.3847/1538-4357/ac498a. S2CID 245853837. Donlon, T.; Newberg, H.; Weiss, J.; Guffey, A.; Thompson, J. (2021-06-01). "A Trifurcated Sagittarius Stream in the South". AAS/Division of Dynamical Astronomy Meeting. 53 (5): 403.03. Bibcode:2021DDA....5240303D. Mendelsohn, E. J.; Newberg, H. J.; Shelton, S.; Widrow, L.; Thompson, J.; Grillmair, C. (2021-06-01). "Estimate of the Mass and Radial Profile of the Orphan Stream's Dwarf Galaxy Progenitor Using MilkyWay@home". AAS/Division of Dynamical Astronomy Meeting. 53 (5): 403.01. Bibcode:2021DDA....5240301M. Mendelsohn, E. J.; Newberg, H. J.; Donlon, T.; Thompson, J. M. (2020-08-01). "N-Body Simulations with MilkyWay@home". AAS/Division of Dynamical Astronomy Meeting. 52 (4): 200.01. Bibcode:2020DDA....5120001M. Donlon, Thomas; Newberg, Heidi Jo; Sanderson, Robyn; Widrow, Lawrence M. (2020-10-01). "The Milky Way's Shell Structure Reveals the Time of a Radial Collision". The Astrophysical Journal. 902 (2): 119. arXiv:2006.08764. Bibcode:2020ApJ...902..119D. doi:10.3847/1538-4357/abb5f6. S2CID 219708644. Shelton, Siddhartha; Newberg, Heidi Jo; Weiss, Jake; Bauer, Jacob S.; Arsenault, Matthew; Widrow, Larry; Rayment, Clayton; Desell, Travis; Judd, Roland; Magdon-Ismail, Malik; Mendelsohn, Eric; Newby, Matthew; Rice, Colin;


id: milkyway-home-20260505-2
file: data/en.wikipedia.org/wiki/MilkyWay@home-2.md
category: reference
title: MilkyWay@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MilkyWay@home
date_saved: 2026-05-05T04:12:19.924258+00:00
instance: kb-cron
parent: milkyway-home-20260505-0
summary:
Desell, Travis; Szymanski, Boleslaw; Varela, Carlos (2008). "An asynchronous hybrid genetic-simplex search for modeling the Milky Way galaxy using volunteer computing". Proceedings of the 10th annual conference on Genetic and evolutionary computation. pp. 921–928. doi:10.1145/1389095.1389273. ISBN 9781605581309. S2CID 10952453. Cole, Nathan; Newberg, Heidi Jo; Magdon-Ismail, Malik; Desell, Travis; Dawsey, Kristopher; Hayashi, Warren; Liu, Xinyang Fred; Purnell, Jonathan; Szymanski, Boleslaw; Varela, Carlos; Willett, Benjamin; Wisniewski, James (20 August 2008). "Maximum Likelihood Fitting of Tidal Streams with Application to the Sagittarius Dwarf Tidal Tails". The Astrophysical Journal. 683 (2): 750–766. arXiv:0805.2121. Bibcode:2008ApJ...683..750C. doi:10.1086/589681. S2CID 1660060. Desell, Travis; Szymanski, Boleslaw; Varela, Carlos (2008). "Asynchronous genetic search for scientific modeling on large-scale heterogeneous environments". 2008 IEEE International Symposium on Parallel and Distributed Processing. pp. 1–12. doi:10.1109/IPDPS.2008.4536169. ISBN 978-1-4244-1693-6. S2CID 1107218. Szymanski, Boleslaw K.; Desell, Travis; Varela, Carlos (2008). "The Effects of Heterogeneity on Asynchronous Panmictic Genetic Search". Parallel Processing and Applied Mathematics. Lecture Notes in Computer Science. Vol. 4967. pp. 457–468. CiteSeerX 10.1.1.78.2043. doi:10.1007/978-3-540-68111-3_48. ISBN 978-3-540-68105-2. Desell, Travis; Cole, Nathan; Magdon-Ismail, Malik; Newberg, Heidi; Szymanski, Boleslaw; Varela, Carlos (2007). "Distributed and Generic Maximum Likelihood Evaluation". Third IEEE International Conference on e-Science and Grid Computing (E-Science 2007). pp. 337–344. CiteSeerX 10.1.1.65.4065. doi:10.1109/E-SCIENCE.2007.30. ISBN 978-0-7695-3064-2. S2CID


id: mindmodeling-home-20260505-0
file: data/en.wikipedia.org/wiki/MindModeling@Home-0.md
category: reference
title: MindModeling@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MindModeling@Home
date_saved: 2026-05-05T04:12:21.237454+00:00
instance: kb-cron
parent: mindmodeling-home-20260505-0
summary:
MindModeling@Home is an inactive non-profit, volunteer computing research project for the advancement of cognitive science. MindModeling@Home is hosted by Wright State University and the University of Dayton in Dayton, Ohio. In BOINC, it is in the area of Cognitive Science and category called Cognitive science and artificial intelligence. It can only operate on a 64-bit operating system, preferably on a computer with multiple cores, running a Microsoft Windows, Mac OS X, or Linux operating system. This project is not compatible with mobile devices, unlike other projects on BOINC. == Research focus == N-2 Repetition: understanding how people have a harder time returning to a task from another one Observing how people read through their eye movement for the purpose of helping people reduce eye strain and processing what they read better and faster. Modeling decision-making: resolving around decisions made from visual processing (focus and filtering) Integrated Learning Models (ILM) to create algorithms based on how people learn and make decisions How the brain performs tasks sequentially and simultaneously by measuring its blood flow == Problems == Its status is inactive. However, it is "not down or closed," as its servers are still running. The projects are long; prolonged amounts of


id: oproject-home-20260505-0
file: data/en.wikipedia.org/wiki/OProject@Home-0.md
category: reference
title: OProject@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/OProject@Home
date_saved: 2026-05-05T04:12:22.393403+00:00
instance: kb-cron
parent: oproject-home-20260505-0
summary:
OProject@Home was a volunteer computing project running on the Berkeley Open Infrastructure for Network Computing (BOINC) and was based on a dedicated library OLib. The project was directed by Lukasz Swierczewski, an IT student at the College of Computer Science and Business Administration in Łomża, Computer Science and Automation Institute. As of 2016 it seems to have been abandoned. == Subprojects == Shor's Algorithm Shor's Algorithm DP GSCE-SV ALX Weird Engine Shor's Algorithm and Shor's Algorithm DP were the main subprojects of OProject@Home. The objective was to test quantum algorithms (e.g. Shor's algorithm) of quantum computing. GSCE-SV verifies the correctness of Goldbach's conjecture, while ALX is a Non-CPU-intensive (nci) subproject capable of running on ARM-based CPUs running Android or Linux. It is used to research and develop artificial intelligence and computer networks. The project supports the PlayStation 3. The Weird Engine subproject calculates the weird numbers (sequence A006037 in the OEIS). Numbers are available in the project database. According to the OEIS it is the largest publicly available database of such numbers. These ongoing work on the application analyzing status of water on Earth. OProject@Home uses data from NASA and NOAA satellites. Analyzed data are taken from devices AVHRR and


id: orbit-home-20260505-0
file: data/en.wikipedia.org/wiki/Orbit@home-0.md
category: reference
title: Orbit@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Orbit@home
date_saved: 2026-05-05T04:12:27.936678+00:00
instance: kb-cron
parent: orbit-home-20260505-0
summary:
orbit@home was a BOINC-based volunteer computing project of the Planetary Science Institute. It uses the "Orbit Reconstruction, Simulation and Analysis" framework to optimize the search strategies that are used to find near-Earth objects. On March 4, 2008, orbit@home completed the installation of its new server and officially opened to new members. On April 11, orbit@home launched a Windows version of their client. On February 16, 2013, the project was halted due to lack of grant funding. However, on July 23, 2013, the Orbit@home project was selected for funding by NASA's Near Earth Object Observation program. It was announced that orbit@home is to resume operations sometime in 2014 or 2015. As of July 13, 2018, orbit@home is offline according to its website, and the upgrade announcement has been removed. == See also == List of volunteer computing projects == References == == External links == Official website


id: poem-home-20260505-0
file: data/en.wikipedia.org/wiki/POEM@Home-0.md
category: reference
title: POEM@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/POEM@Home
date_saved: 2026-05-05T04:12:29.166076+00:00
instance: kb-cron
parent: poem-home-20260505-0
summary:
POEM@Home was a volunteer computing project hosted by the Karlsruhe Institute of Technology and running on the Berkeley Open Infrastructure for Network Computing (BOINC) software platform. It modeled protein folding using Anfinsen's dogma. POEM@Home was started in 2007 and, due to advances using GPUs that rendered the BOINC program redundant, concluded in October 2016. The POEM@home applications were proprietary. == Scientific objectives == The project studied how protein structure determined protein function, predict a protein's structure from its amino acid sequence, investigated how proteins interact with each other, and understand how malfunctioning proteins can cause functional disorders. The resulting knowledge could then be used in the development of medical treatments. == See also == List of volunteer computing projects == References == == External links == POEM@Home website Berkeley Open Infrastructure for Network Computing (BOINC)


id: predictor-home-20260505-0
file: data/en.wikipedia.org/wiki/Predictor@home-0.md
category: reference
title: Predictor@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Predictor@home
date_saved: 2026-05-05T04:12:30.492666+00:00
instance: kb-cron
parent: predictor-home-20260505-0
summary:
Predictor@home was a volunteer computing project that used BOINC software to predict protein structure from protein sequence in the context of the 6th biannual CASP, or Critical Assessment of Techniques for Protein Structure Prediction. A major goal of the project was the testing and evaluating of new algorithms to predict both known and unknown protein structures. Predictor@home was complementary to Folding@home. Whereas the latter aims to study the dynamics of protein folding, Predictor@home aimed to specify what the final tertiary structure will be. Also, the two projects differ significantly in the infrastructure they use. The project used BOINC software, whereas Folding@home maintains its own software completely outside of BOINC. However, for a time, Predictor@home competed with other BOINC protein structure prediction projects, such as Rosetta@home. Each uses different methods of rapidly and reliably predicting the final tertiary structure. Predictor@home is currently inactive. == History == Predictor@home holds the distinction of being the first independent BOINC project to be launched. The project was set up and run by Michela Taufer at The Scripps Research Institute. On September 6, 2006, Predictor@home was temporarily taken off line, with no new work units being sent out. In May, 2008, the project reverted to Alpha


id: primegrid-20260505-0
file: data/en.wikipedia.org/wiki/PrimeGrid-0.md
category: reference
title: PrimeGrid
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/PrimeGrid
date_saved: 2026-05-05T04:12:31.751416+00:00
instance: kb-cron
parent: primegrid-20260505-0
summary:
PrimeGrid is a volunteer computing project that searches for very large (up to world-record size) prime numbers whilst also aiming to solve long-standing mathematical conjectures. It uses the Berkeley Open Infrastructure for Network Computing (BOINC) platform. PrimeGrid offers a number of subprojects for prime-number sieving and discovery. Some of these are available through the BOINC client, others through the PRPNet client. Some of the work is manual, i.e. it requires manually starting work units and uploading results. Different subprojects may run on different operating systems, and may have executables for CPUs, GPUs, or both; while running the Lucas–Lehmer–Riesel test, CPUs with Advanced Vector Extensions and Fused Multiply-Add instruction sets will yield the fastest results for non-GPU accelerated workloads. PrimeGrid awards badges to users in recognition of achieving certain defined levels of credit for work done. The badges have no intrinsic value but are valued by many as a sign of achievement. The issuing of badges should also benefit PrimeGrid by evening out the participation in the less popular sub projects. The easiest of the badges can often be obtained in less than a day by a single computer, whereas the most challenging badges will require far more time and computing


id: primegrid-20260505-1
file: data/en.wikipedia.org/wiki/PrimeGrid-1.md
category: reference
title: PrimeGrid
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/PrimeGrid
date_saved: 2026-05-05T04:12:31.751416+00:00
instance: kb-cron
parent: primegrid-20260505-0
summary:
=== Riesel Problem === As of 13 December 2022, PrimeGrid has eliminated 18 values of k from the Riesel problem and is continuing the search to eliminate the 43 remaining numbers. 3 values of k are found by independent searchers. === Twin prime search === Primegrid worked with the Twin Prime Search to search for a record-sized twin prime at approximately 58,700 digits. The new world's largest known twin prime 2003663613 × 2195000 ± 1 was eventually discovered on January 15, 2007 (sieved by Twin Prime Search and tested by PrimeGrid). The search continued for another record twin prime at just above 100,000 digits. It was completed in August 2009 when PrimeGrid found 65516468355 × 2333333 ± 1. Continued testing for twin primes in conjunction with the search for a Sophie Germain prime yielded a new record twin prime in September 2016 upon finding the number 2996863034895 × 21290000 ± 1 composed of 388,342 digits. === Woodall prime search === As of 22 April 2018, the project has discovered the four largest Woodall primes known to date. The largest of these is 17016602 × 217016602 − 1 and was found on 21 March 2018. The search continues for an even


id: proteins-home-20260505-0
file: data/en.wikipedia.org/wiki/Proteins@home-0.md
category: reference
title: Proteins@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Proteins@home
date_saved: 2026-05-05T04:12:32.988383+00:00
instance: kb-cron
parent: proteins-home-20260505-0
summary:
proteins@home was a volunteer computing project that used the BOINC architecture. The project was run by the Department of Biology at École Polytechnique. The project began on December 28, 2006, and ended in June 2008. == Purpose == proteins@home was a large-scale non-profit protein structure prediction project utilizing volunteer computing to perform intensive computations in a small amount of time. From their website: The amino acid sequence of a protein determines its three-dimensional structure, or 'fold'. Conversely, the three-dimensional structure is compatible with a large, but limited set of amino acid sequences. Enumerating the allowed sequences for a given fold is known as the 'inverse protein folding problem'. We are working to solve this problem for a large number of known protein folds (a representative subset: about 1500 folds). The most expensive step is to build a database of energy functions that describe all these structures. For each structure, we consider all possible sequences of amino acids. Surprisingly, this is computationally tractable, because our energy functions are sums over pairs of interactions. Once this is done, we can explore the space of amino acid sequences in a fast and efficient way, and retain the most favorable sequences. This large-scale mapping


id: qmc-home-20260505-0
file: data/en.wikipedia.org/wiki/QMC@Home-0.md
category: reference
title: QMC@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/QMC@Home
date_saved: 2026-05-05T04:12:34.229458+00:00
instance: kb-cron
parent: qmc-home-20260505-0
summary:
QMC@Home was a volunteer computing project for the BOINC client aimed at further developing and testing Quantum Monte Carlo (QMC) for use in quantum chemistry. It is hosted by the University of Münster with participation by the Cavendish Laboratory. QMC@Home allows volunteers from around the world to donate idle computer cycles to help calculate molecular geometry using Diffusion Monte Carlo. The project is developing a new application using density functional theory. The project began its Beta testing on 23 May 2006. As of February 2010, QMC@Home has about 7,500 active participants from 102 countries, contributing about 5 teraFLOPS of computation power. == Workunits == In order to get results from home computers the work is split into "workunits". The time it takes to complete a workunit depends on the size of the calculated system and the speed of the user's computer. The target time is between 4 and 48 hours on a 2.4 GHz system. This is a list of molecules recently tested: 1a Ammonia; 1 Ammonia dimer; 2a Water; 2 Water dimer; 3a Formic acid; 3 Formic acid dimer; 4a Formamide; 4 Formamide dimer; 5a Uracil; 5 Uracil dimer; 6a 2-pyridoxine; 6b 2-aminopyridine; 6 2-pyridoxine/2-aminopyridine; 7a Adenine; 7b Thymine;


id: quake-catcher-network-20260505-0
file: data/en.wikipedia.org/wiki/Quake-Catcher_Network-0.md
category: reference
title: Quake-Catcher Network
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Quake-Catcher_Network
date_saved: 2026-05-05T04:12:35.546652+00:00
instance: kb-cron
parent: quake-catcher-network-20260505-0
summary:
The Quake-Catcher Network was an initiative run by the University of Southern California that aimed to use computer-based accelerometers to detect earthquakes. It used the BOINC volunteer computing platform (a form of distributed computing, similar to SETI@home). It supported mobile devices (smartphones and some tablets/laptops) that have a built-in accelerometer. It also supported three external USB devices - the codemercs.com JoyWarrior 24F8, the ONavi sensor, and the MotionNode Accel. In 2011, project scientist Elizabeth Cochran was awarded a Presidential Early Career Award from US President Barack Obama in large part due to her founding of the Quake-Catcher Network project. The Quake Catcher Network project started at Stanford University in 2008, then moved to Caltech, and joined the Southern California Earthquake Center (SCEC) and the Incorporated Research Institutions for Seismology (IRIS) in 2016. The Quake-Catcher Network was discontinued on June 1st 2023 == References == == External links == Interactive world map, showing recent earthquakes (day/week/month) Archived 2018-01-07 at the Wayback Machine – result of QCN


id: rosetta-home-20260505-0
file: data/en.wikipedia.org/wiki/Rosetta@home-0.md
category: reference
title: Rosetta@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Rosetta@home
date_saved: 2026-05-05T04:12:36.815821+00:00
instance: kb-cron
parent: rosetta-home-20260505-0
summary:
Rosetta@home is a volunteer computing project researching protein structure prediction on the Berkeley Open Infrastructure for Network Computing (BOINC) platform, run by the Baker lab. Rosetta@home aims to predict protein–protein docking and design new proteins with the help of about fifty-five thousand active volunteered computers processing at over 487,946 gigaFLOPS on average as of September 19, 2020. Foldit, a Rosetta@home videogame, aims to reach these goals with a crowdsourcing approach. Though much of the project is oriented toward basic research to improve the accuracy and robustness of proteomics methods, Rosetta@home also does applied research on malaria, Alzheimer's disease, and other pathologies. Like all BOINC projects, Rosetta@home uses idle computer processing resources from volunteers' computers to perform calculations on individual workunits. Completed results are sent to a central project server where they are validated and assimilated into project databases. The project is cross-platform, and runs on a wide variety of hardware configurations. Users can view the progress of their individual protein structure prediction on the Rosetta@home screensaver. In addition to disease-related research, the Rosetta@home network serves as a testing framework for new methods in structural bioinformatics. Such methods are then used in other Rosetta-based applications, like RosettaDock or the Human Proteome


id: rosetta-home-20260505-1
file: data/en.wikipedia.org/wiki/Rosetta@home-1.md
category: reference
title: Rosetta@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Rosetta@home
date_saved: 2026-05-05T04:12:36.815821+00:00
instance: kb-cron
parent: rosetta-home-20260505-0
summary:
A primary feature of the Rosetta@home graphical user interface (GUI) is a screensaver which shows a current workunit's progress during the simulated protein folding process. In the upper-left of the current screensaver, the target protein is shown adopting different shapes (conformations) in its search for the lowest energy structure. Depicted immediately to the right is the structure of the most recently accepted. On the upper right the lowest energy conformation of the current decoy is shown; below that is the true, or native, structure of the protein if it has already been determined. Three graphs are included in the screensaver. Near the middle, a graph for the accepted model's thermodynamic free energy is displayed, which fluctuates as the accepted model changes. A graph of the accepted model's root-mean-square deviation (RMSD), which measures how structurally similar the accepted model is to the native model, is shown far right. On the right of the accepted energy graph and below the RMSD graph, the results from these two functions are used to produce an energy vs. RMSD plot as the model is progressively refined. Like all BOINC projects, Rosetta@home runs in the background of the user's computer, using idle computer power, either at


id: rosetta-home-20260505-2
file: data/en.wikipedia.org/wiki/Rosetta@home-2.md
category: reference
title: Rosetta@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Rosetta@home
date_saved: 2026-05-05T04:12:36.815821+00:00
instance: kb-cron
parent: rosetta-home-20260505-0
summary:
== Disease-related research == In addition to basic research in predicting protein structure, docking and design, Rosetta@home is also used in immediate disease-related research. Numerous minor research projects are described in David Baker's Rosetta@home journal. As of February 2014, information on recent publications and a short description of the work are being updated on the forum. The forum thread is no longer used since 2016, and news on the research can be found on the general news section of the project. === Alzheimer's disease === A component of the Rosetta software suite, RosettaDesign, was used to accurately predict which regions of amyloidogenic proteins were most likely to make amyloid-like fibrils. By taking hexapeptides (six amino acid-long fragments) of a protein of interest and selecting the lowest energy match to a structure similar to that of a known fibril forming hexapeptide, RosettaDesign was able to identify peptides twice as likely to form fibrils as are random proteins. Rosetta@home was used in the same study to predict structures for amyloid beta, a fibril-forming protein that has been postulated to cause Alzheimer's disease. Preliminary but as yet unpublished results have been produced on Rosetta-designed proteins that may prevent fibrils from forming, although it


id: rosetta-home-20260505-3
file: data/en.wikipedia.org/wiki/Rosetta@home-3.md
category: reference
title: Rosetta@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Rosetta@home
date_saved: 2026-05-05T04:12:36.815821+00:00
instance: kb-cron
parent: rosetta-home-20260505-0
summary:
== Rosetta software == Rosetta is the software responsible for performing structure prediction in Rosetta@home. Besides a BOINC cluster, Rosetta can run on a single local computer, or on a local supercomputer. Similar to other bioinformatic programs, there are online public servers offering to run Rosetta from a web interface. The software is freely licensed to the academic community and available to pharmaceutical companies for a fee. Originally introduced by the Baker laboratory at the University of Washington in 1998 as an ab initio approach to structure prediction, Rosetta has since branched into several development streams and distinct services, providing features such as macromolecular docking and protein design. Many of the graduate students and other researchers involved in Rosetta's initial development have since moved to other universities and research institutions, and subsequently enhanced different parts of the Rosetta project. The Rosetta platform derives its name from the Rosetta Stone, as it attempts to decipher the structural "meaning" of proteins' amino acid sequences. Development of the Rosetta code is done by Rosetta Commons. Rosetta participates in CASP and CAPRI. Rosetta was rewritten in C++ to allow easier development than that allowed by its original version, which was written in Fortran. This


id: rosetta-home-20260505-4
file: data/en.wikipedia.org/wiki/Rosetta@home-4.md
category: reference
title: Rosetta@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Rosetta@home
date_saved: 2026-05-05T04:12:36.815821+00:00
instance: kb-cron
parent: rosetta-home-20260505-0
summary:
=== Robetta === The Robetta (Rosetta Beta) server is an automated protein structure prediction service offered by the Baker laboratory for non-commercial ab initio and comparative modeling. It has participated as an automated prediction server in the biannual CASP experiments since CASP5 in 2002, performing among the best in the automated server prediction category. Robetta has since competed in CASP6 and 7, where it did better than average among both automated server and human predictor groups. It also participates in the CAMEO3D continuous evaluation. Robetta tasks run on Baker lab servers, Janelia Research Campus machines, and Rosetta@home participant computers. In modeling protein structure as of CASP6, Robetta first searches for structural homologs using BLAST, PSI-BLAST, and 3D-Jury, then parses the target sequence into its individual domains, or independently folding units of proteins, by matching the sequence to structural families in the Pfam database. Domains with structural homologs then follow a "template-based model" (i.e., homology modeling) protocol. Here, the Baker laboratory's in-house alignment program, K*sync, produces a group of sequence homologs, and each of these is modeled by the Rosetta de novo method to produce a decoy (possible structure). The final structure prediction is selected by taking the lowest energy model


id: rosetta-home-20260505-5
file: data/en.wikipedia.org/wiki/Rosetta@home-5.md
category: reference
title: Rosetta@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Rosetta@home
date_saved: 2026-05-05T04:12:36.815821+00:00
instance: kb-cron
parent: rosetta-home-20260505-0
summary:
== Volunteer contributions == Rosetta@home depends on computing power donated by individual project members for its research. As of March 28, 2020, about 53,000 users from 150 countries were active members of Rosetta@home, together contributing idle processor time from about 54,800 computers for a combined average performance of over 1.7 PetaFLOPS. Users are granted BOINC credits as a measure of their contribution. The credit granted for each workunit is the number of decoys produced for that workunit multiplied by the average claimed credit for the decoys submitted by all computer hosts for that workunit. This custom system was designed to address significant differences between credit granted to users with the standard BOINC client and an optimized BOINC client, and credit differences between users running Rosetta@home on Windows and Linux operating systems. The amount of credit granted per second of CPU work is lower for Rosetta@home than most other BOINC projects. Rosetta@home is thirteenth out of over 40 BOINC projects in terms of total credit. Rosetta@home users who predict protein structures submitted for the CASP experiment are acknowledged in scientific publications regarding their results. Users who predict the lowest energy structure for a given workunit are featured on the Rosetta@home homepage


id: seasonal-attribution-project-20260505-0
file: data/en.wikipedia.org/wiki/Seasonal_Attribution_Project-0.md
category: reference
title: Seasonal Attribution Project
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Seasonal_Attribution_Project
date_saved: 2026-05-05T04:12:39.136696+00:00
instance: kb-cron
parent: seasonal-attribution-project-20260505-0
summary:
The Seasonal Attribution Project is a climate'prediction.net sub-project, with support from the WWF. It runs a high resolution model in order to try to determine the extent to which extreme weather events are attributable to human-induced global warming. The project did cease giving out more work, however there has been a project extension to try a fourth sea surface temperature pattern. Current work will still be accepted and used for collaborations and possibly revisions of papers during the review process. A further extension will start soon. == The experiments == United Kingdom floods of Autumn 2000 – Current project. Mountain snowpack decline in western North America Developed in collaboration with the Climate Impacts Group at the University of Washington. Heatwave occurrence in South Africa and India The latter two will use the same models. Information has been uploaded but analysis of information generated has not yet started. == See also == Effects of global warming == References == == External links == Seasonal Attribution Website Archived 2011-02-20 at the Wayback Machine


id: seti-home-20260505-0
file: data/en.wikipedia.org/wiki/SETI@home-0.md
category: reference
title: SETI@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/SETI@home
date_saved: 2026-05-05T04:12:40.390913+00:00
instance: kb-cron
parent: seti-home-20260505-0
summary:
SETI@home ("SETI at home") is a project of the Berkeley SETI Research Center to analyze radio signals with the aim of searching for signs of extraterrestrial intelligence. Until March 2020, it was run as an Internet-based public volunteer computing project that employed the BOINC software platform. It is hosted by the Space Sciences Laboratory at the University of California, Berkeley, and is one of many activities undertaken as part of the worldwide SETI effort. SETI@home software was released to the public on May 17, 1999, making it the third large-scale use of volunteer computing over the Internet for research purposes, after Great Internet Mersenne Prime Search (GIMPS) was launched in 1996 and distributed.net in 1997. Along with MilkyWay@home and Einstein@home, it has the investigation of phenomena in interstellar space as its primary purpose. In March 2020, the project stopped sending out new work to SETI@home users, bringing the crowdsourced computing aspect of the project to a stop. At the time, the team intended to shift focus onto the analysis and interpretation of the 20 years' worth of accumulated data. However, the team left open the possibility of eventually resuming volunteer computing using data from other radio telescopes, such as MeerKAT


id: seti-home-20260505-1
file: data/en.wikipedia.org/wiki/SETI@home-1.md
category: reference
title: SETI@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/SETI@home
date_saved: 2026-05-05T04:12:40.390913+00:00
instance: kb-cron
parent: seti-home-20260505-0
summary:
== Technology == Anybody with an at least intermittently Internet-connected computer was able to participate in SETI@home by running a free program that downloaded and analyzed radio telescope data. Observational data were recorded on 2-terabyte SATA hard disk drives fed from the Arecibo Telescope in Puerto Rico, each holding about 2.5 days of observations, which were then sent to Berkeley. Arecibo does not have a broadband Internet connection, so data must go by postal mail to Berkeley. Once there, it is divided in both time and frequency domains work units of 107 seconds of data, or approximately 0.35 megabytes (350 kilobytes or 350,000 bytes), which overlap in time but not in frequency. These work units are then sent from the SETI@home server over the Internet to personal computers around the world to analyze. Data was merged into a database using SETI@home computers in Berkeley. Interference was rejected, and various pattern-detection algorithms were applied to search for the most interesting signals. The project used CUDA for GPU processing starting in 2015. In 2016 SETI@home began processing data from the Breakthrough Listen project. === Software === The SETI@home volunteer computing software ran either as a screensaver or continuously while a user worked,


id: seti-home-20260505-2
file: data/en.wikipedia.org/wiki/SETI@home-2.md
category: reference
title: SETI@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/SETI@home
date_saved: 2026-05-05T04:12:40.390913+00:00
instance: kb-cron
parent: seti-home-20260505-0
summary:
== Competitive aspect == SETI@home users quickly started to compete with one another to process the maximum number of work units. Teams were formed to combine the efforts of individual users. The competition continued and grew larger with the introduction of BOINC. As with any competition, attempts have been made to "cheat" the system and claim credit for work that has not been performed. To combat cheats, the SETI@home system sends every work unit to multiple computers, a value known as "initial replication" (currently 2). Credit is only granted for each returned work unit once a minimum number of results have been returned and the results agree, a value known as "minimum quorum" (currently 2). If, due to computation errors or cheating by submitting false data, not enough results agree, more identical work units are sent out until the minimum quorum can be reached. The final credit granted to all machines which returned the correct result is the same and is the lowest of the values claimed by each machine. Some users have installed and run SETI@home on computers at their workplaces; an act known as "Borging", after the assimilation-driven Borg of Star Trek. In some cases, SETI@home users have


id: seti-home-20260505-3
file: data/en.wikipedia.org/wiki/SETI@home-3.md
category: reference
title: SETI@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/SETI@home
date_saved: 2026-05-05T04:12:40.390913+00:00
instance: kb-cron
parent: seti-home-20260505-0
summary:
SETI@home is a test bed for further development not only of BOINC but of other hardware and software (database) technology. Under SETI@home processing loads, these experimental technologies can be more challenging than expected, as SETI databases do not have typical accounting and business data or relational structures. The non-traditional database uses often do incur greater processing overheads and risk of database corruption and outright database failure. Hardware, software and database failures can (and do) cause dips in project participation. The project has had to shut down several times to change over to new databases capable of handling more massive datasets. Hardware failure has proven to be a substantial source of project shutdowns, as hardware failure is often coupled with database corruption. == See also == == References == == Further reading == Carrigan, Richard A. Jr. (2003). "The Ultimate Hacker: SETI Signals May Need to Be Decontaminated". Bioastronomy 2002: Life Among the Stars. 213. Astronomical Society of the Pacific: 519. Bibcode:2004IAUS..213..519C. Sample, Ian (November 25, 2005). "Scientists be on guard..." The Guardian. London. Retrieved November 25, 2005. Scoles, Sarah (May 23, 2017). "A Brief History of SETI@Home". The Atlantic. == External links == Official website SETI@home screensaver video on YouTube


