BlackHoles@Home: Difference between revisions

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== Goal ==

[[File:Image.png|thumb|BlackHoles@Home numerical grid structure, which is ~100x more efficient than other techniques (requiring supercomputers), enabling black hole inspiral and merger calculations to be performed on consumer-grade hardware.]]

BlackHoles@Home aims to reduce the cost of numerical relativity black hole and neutron star binary simulations by ~100x, through adoption of numerical grids that fully exploit near-symmetries in these systems.

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== Methods ==

[[File:Image.png|thumb|BlackHoles@Home numerical grid structure, which is ~100x more efficient than other techniques (requiring supercomputers), enabling black hole inspiral and merger calculations to be performed on consumer-grade hardware.]]

BlackHoles@Home leverages recent advances in solving Einstein's equations in [https://github.com/zachetienne/nrpytutorial/blob/master/Tutorial-BSSN_formulation.ipynb solving Einstein's equations in singular curvilinear coordinates] (including spherical-like coordinates), to solve the dynamics of binary black hole inspirals and mergers on consumer-grade hardware. It makes extensive use of and was co-developed alongside our [https://github.com/nrpy/nrpy open-source NRPy+ code generation framework], which makes use of [https://www.sympy.org/ the free & open-source Sympy computer algebra system] to convert complex mathematical expressions into highly optimized C code. NRPy+ was written with BlackHoles@Home in mind as its primary application.

== Project team / Sponsors ==

Prof. Z. Etienne. Primarily funded by NSF grant PHY-1806596. It is also funded by NSF EPSCoR Grant 1458952 and NASA grants 80NSSC18K0538 and 80NSSC18K1488.

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 == Goal ==
+[[File:Image.png|thumb|BlackHoles@Home numerical grid structure, which is ~100x more efficient than other techniques (requiring supercomputers), enabling black hole inspiral and merger calculations to be performed on consumer-grade hardware.]]
 BlackHoles@Home aims to reduce the cost of numerical relativity black hole and neutron star binary simulations by ~100x, through adoption of numerical grids that fully exploit near-symmetries in these systems.
@@ Line 18: / Line 19: @@
 == Methods ==
-[[File:Image.png|thumb|BlackHoles@Home numerical grid structure, which is ~100x more efficient than other techniques (requiring supercomputers), enabling black hole inspiral and merger calculations to be performed on consumer-grade hardware.]]
 BlackHoles@Home leverages recent advances in solving Einstein's equations in [https://github.com/zachetienne/nrpytutorial/blob/master/Tutorial-BSSN_formulation.ipynb solving Einstein's equations in singular curvilinear coordinates] (including spherical-like coordinates), to solve the dynamics of binary black hole inspirals and mergers on consumer-grade hardware. It makes extensive use of and was co-developed alongside our [https://github.com/nrpy/nrpy open-source NRPy+ code generation framework], which makes use of [https://www.sympy.org/ the free & open-source Sympy computer algebra system] to convert complex mathematical expressions into highly optimized C code. NRPy+ was written with BlackHoles@Home in mind as its primary application.
 == Project team / Sponsors ==
 Prof. Z. Etienne. Primarily funded by NSF grant PHY-1806596. It is also funded by NSF EPSCoR Grant 1458952 and NASA grants 80NSSC18K0538 and 80NSSC18K1488.