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The nature of dark energy and the complete theory of gravity are two centralquestions currently facing cosmology. A vital tool for addressing them is the3-point correlation function (3PCF), which probes deviations from a spatiallyrandom distribution of galaxies. However, the 3PCF's formidable computationalexpense has prevented its application to astronomical surveys comprisingmillions to billions of galaxies. We present Galactos, a high-performanceimplementation of a novel, O(N^2) algorithm that uses a load-balanced k-d treeand spherical harmonic expansions to compute the anisotropic 3PCF. Ourimplementation is optimized for the Intel Xeon Phi architecture, exploitingSIMD parallelism, instruction and thread concurrency, and significant L1 and L2cache reuse, reaching 39% of peak performance on a single node. Galactos scalesto the full Cori system, achieving 9.8PF (peak) and 5.06PF (sustained) across9636 nodes, making the 3PCF easily computable for all galaxies in theobservable universe.

Galactos: Computing the Anisotropic 3-Point Correlation Function for 2 Billion Galaxies