B.O.I.N.C projects

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This is a list of distributed computing and grid computing projects. For each project, donors volunteer computing time from personal computers to a specific cause. This donated computing power comes typically from CPUs and GPUs (AMD or Nvidia). Folding@home once also harnessed the power of PlayStation 3s.[1] Each project seeks to solve a problem which is difficult or infeasible to tackle using other methods. Distributed computing projects[edit] Other distributed computing projects[edit] List of distributed computing projects List of distributed computing projects
Liste des projets BOINC Liste des projets BOINC Un article de Wikipédia, l'encyclopédie libre. Cette liste est complète en janvier 2011. BOINC a une puissance moyenne de calcul de 7.37 petaFLOPS au 21 juin 2013 (490 695 ordinateurs).

SETI Institute

SETI Institute {*style:<ul>*} {*style:<li>*} {*style:<br>*} {*style:<br>*}{*style:<a href='http://www.seti.org/weeky-lecture/large-synoptic-survey-telescope-entering-era-petascale-optical-astronomy'>*}Large Synoptic Survey Telescope: Entering the Era of Petascale Optical Astronomy{*style:</a>*} {*style:<br>*}An overview of what LSST will deliver once operational, review implications of LSST-sized data sets on astronomy in the 2020s, and discuss how we as a community will need to prepare for the upcoming age of petascale datasets. {*style:<a href='http://www.seti.org/weeky-lecture/large-synoptic-survey-telescope-entering-era-petascale-optical-astronomy'>*}Read More{*style:</a>*} {*style:<br>*}{*img:300:185:http://www.seti.org/sites/default/files/styles/project-image-featured/public/lsst-470.jpg?
Homepage | setiQuest Homepage | setiQuest Do you like to develop data analysis and visualization applications? We have made data from the Allen Telescope Array available for download. It is available for download from the Amazon Web Service (thanks Amazon!). Can you improve our data visualization?
The SETI League: Searching for Extra-Terrestrial Intelligence
UK SETI Research Network UK SETI Research Network The UK SETI Research Network is a group of UK academics at a number of institutions who are active in the field of the Search for ExtraTerrestrial Intelligence. Its purpose is to promote academic SETI activity in the UK. There is a small but active group of SETI researchers in the UK, who need a forum to discuss their work. Further, we hope that the existence of the group will excite interest in people in the UK astronomical community, who have been thinking about SETI, to contribute their work. We also hope that by exposing the whole range of UK SETI activities to the community it will promote a wider understanding of, and activity in, this subject, and the justifications for the allocation, through the competitive grants application process, of resources for SETI activity.
SETI@home annual fund raising campaign has started We've started out annual fund raising campaign. If you haven't gotten an announcement in your email, you can find your letter here . Thanks in advance for your help keeping SETI@home going! SETI@home

SETI@home

As a non-profit organization, our search for life in the universe is not possible without public support. Becoming a member of our Team means you are joining a growing global community who is proactively making the search for answers possible. This is humanity's search and we cannot do it alone Our membership period is from the day you join to March 31st of the following year. Join today and you will get a few extra months. SETI Institute SETI Institute
Setistars
SETI@home SETI@home Un article de Wikipédia, l'encyclopédie libre. SETI@home (abréviation de SETI at home, pouvant se traduire par « SETI à la maison ») est un projet de calcul distribué utilisant des ordinateurs branchés sur Internet. Il est hébergé par le Space Sciences Laboratory de l'université de Californie à Berkeley et est accessible au public depuis le [1],[2],[3]. Recherche scientifique[modifier | modifier le code] Il y avait deux objectifs originaux à SETI@home. Le premier était de prouver la fonctionnalité et la viabilité du calcul distribué.
BOINC has been developed by a team based at the Space Sciences Laboratory (SSL) at the University of California, Berkeley led by David Anderson, who also leads SETI@home. As a high performance distributed computing platform, BOINC has about 596,224 active computers (hosts) worldwide processing on average 9.2 petaFLOPS as of March 2013.[2] BOINC is funded by the National Science Foundation (NSF) through awards SCI/0221529,[3] SCI/0438443[4] and SCI/0721124.[5] History[edit] BOINC was originally developed to manage the SETI@home project. Berkeley Open Infrastructure for Network Computing Berkeley Open Infrastructure for Network Computing

MilkyWay@home

Happy New Year to All!!! Friends, As we usher in the New Year, please be safe. Please do not drive and drink. On behalf of the Milkyway Staff... MilkyWay@home
Apr 2, 2014 Journal post from David Baker There has been very exciting recent progress in designing vaccines and small molecule binding proteins using Rosetta that is described in two recent papers in Nature. These and other recent advances are described in the new Rosetta@Home Research Updates thread. It was suggested there that we send out a monthly email newsletter describing recent progress--we haven't done this before to avoid clogging everybody's inboxes but we certainly could if there is interest.

Rosetta@home

Charity Engine
Welcome to Docking@Home! Our Docking@Home adventure is coming to an end on May 23, 2014. Join us on our next challenge at ExSciTecH. Docking@Home is a project which uses Internet-connected computers to perform scientific calculations that aid in the creation of new and improved medicines. The project aims to help cure diseases such as Human Immunodeficiency Virus (HIV).
Docking@Home
News BOINC-rendered movie released The animated short Big Buck Bunny has been released in hi-res (4Kx2K), high frame rate (60 FPS) and stereo. The rendering was done using BOINC by the Big and Ugly Rendering Project. 19 Dec 2013, 2:58:34 UTC · Comment

BOINC

The purpose of this project is to construct a chess winnig possition classifier (or score estimator) based on some simple features (e.g. the number of pieces of each kind, number of squares controled by given side, numbers of checks that you can give in a possition and so on) The first goal of the project is to establish how far we can get with relatively cheap methods of position evaluation and simple data mining methods (eg. logistic regression, k-nearest neighbors, SVM, decision trees). The second goal is to use more advance machine learning techniques for recognition of winning position to emulate human behaviour of various levels of chess proficiency. This means we need good heuristic which will allow to narrow the range of positions to calculate in depth. BOINC Confederation :: Home
We are proud to announce that our latest GPU core, FahCore 17, was recently moved from beta to advanced testing, the last quality assurance step before a full release. As we previously mentioned, this core is a significant step for us. FahCore 17 is a complete overhaul from our previous GPU cores. It brings a cleaner and more streamlined codebase, new serialization mechanisms that allow us to set up diverse simulations, and improved stability. Its use of OpenCL has united our development, allowing the single core to run on both Nvidia and AMD cards, and theoretically any OpenCL-capable device. Folding@home
Folding@home: FAH logo mosaic
Einstein@Home