• DATA PROCESSING FOR BOINC COMPUTING

    ACADEMIC RESEARCH PROJECTS

About BOINC

BOINC

The Berkeley Open Infrastructure for Network Computing, (BOINC), is an open-source middleware system that supports volunteer and grid computing. Originally developed to support the SETI@home project, it became generalized as a platform for other distributed applications in areas as diverse as mathematics, linguistics, medicine, molecular biology, climatology, environmental science, and astrophysics, among others. BOINC aims to enable researchers to tap into the enormous processing resources of multiple personal computers around the world.

BOINC development originated with a team based at the Space Sciences Laboratory (SSL) at the University of California, Berkeley and led by David Anderson, who also leads SETI@home. As a high-performance distributed computing platform, BOINC brings together about 311,742 active participants and 834,343 active computers (hosts) worldwide processing on average 11.747 PetaFLOPS as of 24 March 2016. Guinness World Records ranks BOINC as the largest computing grid in the world.

NCODED

NCODED is a Private, Not for profit, UK Organisation committed to processing data for BOINC Research Projects. We currently process data for many Worldwide Research projects in the fields of Medicine, Biology, Maths, Physics, and Technology.

  • ClimatePrediction (University of Oxford, UK) - GPUGrid (Universitat Pompeu Fabra, Spain)
  • Asteroids@Home (Charles University, Czech Republic) - SETI@Home (University of California, USA)
  • Einstein@Home (University of Wisconsin, USA) - Rosetta@Home (University of Washington et al, USA)
  • World Community Grid (IBM and International Universities/Hospitals) - PrimeGrid (Private Project, International)
  • MilkyWay@Home (Rensselaer Polytechnic Institute, USA) - CollatzConjecture (Private Project, USA)
  • NumberFields@Home (Arizona State University, USA) - YAFU (Private Project, Germany)

Our current data cluster consisters mainly of over 150 Logical Xeon Cores, as well as multiple High end GPU's.

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