Grid computing: Difference between revisions

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==Projects and applications==
Grid computing offers a way to solve [[Grand Challenge problem]]s such as [[protein folding]], financial [[model (abstract)|modeling]], [[earthquake]] simulation, and [[climate]]/[[weather]] modeling, and was integral in enabling the Large Hadron Collider at CERN.<ref>{{cite journal |last1=Kertcher |first1=Zack |last2=Venkatraman |first2=Rohan |last3=Coslor |first3=Erica |title=Pleasingly parallel: Early cross-disciplinary work for innovation diffusion across boundaries in grid computing |journal=Journal of Business Research |date=23 April 2020 |volume=116 |pages=581–594 |doi=10.1016/j.jbusres.2020.04.018 |s2cid=219048576 |hdl=11343/237477 |hdl-access=free }}</ref> Grids offer a way of using information technology resources optimally inside an organization. They also provide a means for offering information technology as a [[utility computing|utility]] for commercial and noncommercial clients, with those clients paying only for what they use, as with electricity or water.
 
As of October 2016, over 4 million machines running the open-source [[Berkeley Open Infrastructure for Network Computing]] (BOINC) platform are members of the [[World Community Grid]].<ref name="BoincStats" /> One of the projects using BOINC is [[SETI@home]], which was using more than 400,000 computers to achieve 0.828 [[FLOPS|TFLOPS]] as of October 2016. As of October 2016 [[Folding@home]], which is not part of BOINC, achieved more than 101 x86-equivalent petaflops on over 110,000 machines.<ref name="FAH osstats2" />