Einstein@Home

Einstein@Home is a distributed computing project hosted by the University of Wisconsin-Milwaukee and running on the Berkeley Open Infrastructure for Network Computing (BOINC) software platform. It searches for gravitational waves from continuous wave sources, which may include pulsars.

Introduction

Einstein@Home is designed to search data collected by the Laser Interferometer Gravitational-Wave Observatory (LIGO) and GEO 600 for gravitational waves. The project was officially launched on 19 February 2005 as part of American Physical Society's contribution to the World Year of Physics 2005.cite web | last = Boyle | first = Alan | publisher = MSNBC | title = Software sifts through gravity's mysteries | url = http://msnbc.msn.com/id/6998163/ | accessdate = 2006-06-03] It uses the power of volunteer-driven distributed computing in solving the computationally intensive problem of analyzing a large volume of data. Such an approach was pioneered by the SETI@home project, which is designed to look for signs of extraterrestrial life by analyzing radio wave data. Einstein@Home runs through the same software platform as SETI@home, the Berkeley Open Infrastructure for Network Computing (BOINC).

As of December 2007, over 185,000 volunteers in 202 countries have participated in the project, making it the second most popular BOINC project.cite web | url = http://www.boincstats.com/ | title = BOINCstats project statistics | accessdate = 2007-11-21]

cientific objectives

The Einstein@Home project searches for continuous wave sources of gravitational radiation via an "all-sky search".cite web | url = http://einsteinathome.org/about/allsky.html | title = Einstein@Home All Sky Search | publisher = American Physical Society | accessdate = 2006-06-03] These sources may include gravitational radiation from pulsars.Einstein@Home may result in the first confirmed direct detection of a gravitational wave. A successful detection of gravitational waves would constitute a significant milestone in physics, as it would be the first detection of a previously unknown astronomical object by means of gravitational radiation alone.

Data analysis

The Einstein@Home program processes data from the LIGO and GEO instruments using Fast Fourier Transforms. The resulting signals are then analyzed using a method called "matched filtering". This method involves the computation of hypothetical signals that might result if there were a physically plausible source of gravitational waves in the part of the sky being examined. The measured signal is then compared to the hypothetical signal. A matching signal is a candidate for further examination by more sophisticated analysis.cite web | url = http://einsteinathome.org/about/data.html | title = Einstein@Home Data Analysis | publisher = American Physical Society | accessdate = 2006-06-03]

Einstein@Home analyzes data from the LIGO S3, S4 and S5 data sets, each of which represent improvements in the accuracy compared with the previous data set. Processing of the S3 data set was conducted between 22 February 2005 and 2 August 2005. Work on the S4 data set was started interlaced with the S3 calculations, and has finished in July 2006. Processing of the S5 data set, which should reach design sensitivity for the first time, began on 15 June 2006.cite web | url = http://einstein.phys.uwm.edu/old_news.php | title = Einstein@Home news | accessdate = 2006-06-16]

As of May 2008, the project reports 148 teraFLOPS of computational power. [ [http://einstein.phys.uwm.edu/server_status.php Einstein@Home - Server Status] ]

Optimized data analysis

Einstein@home has gained considerable attention of the world's distributed computing community when an optimized application for the S4 data set analysis was developed and released in March 2006 by project volunteer Akos Fekete, a Hungarian programmer.cite web | url = http://einstein.phys.uwm.edu/view_profile.php?userid=121407 | title = Profile: akosf | accessdate = 2006-07-01] Fekete improved the official S4 application and introduced SSE, 3DNow! and SSE3 optimizations into the code improving performance by up to 800%Fact|date=February 2007. Fekete was recognized for his efforts and was afterwards officially involved with the Einstein@home team in the development of the new S5 application.cite web | url = http://www.newscientisttech.com/article/dn9180-programmer-speeds-search-for-gravitational-waves.html | title = Programmer speeds search for gravitational waves | publisher = New Scientist | accessdate = 2006-07-01] As of late July 2006 this new official application became widely distributed among the Einstein@home users, creating a large surge in the project's total performance and productivity, best measured by floating point speed (or FLOPS), which has increased by approximately 50% compared to non-optimized S4 application.cite web | url = http://homepage.hispeed.ch/einstein | title = Einstein@home Server Status | accessdate = 2006-08-22]

See also

*List of distributed computing projects

References

Further reading

*

*

External links

* [http://einstein.phys.uwm.edu/ Einstein@Home Website]
* [http://www.einsteinathome.org/ Einstein@home project information]
* [http://boinc.equn.com/einstein/ Einstein@home project information in Chinese]
* [http://allprojectstats.com/top.php?s=0&o=0&projekt=1&type=1 Einstein@home user statistics]
* [http://boinc.berkeley.edu/ Berkeley Open Infrastructure for Network Computing (BOINC)]
* [http://www.volunteerathome.com/ [e-mail] — All about volunteer computing]