Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Efficient parallel algorithm for estimating higher-order polyspectra   Nonlinearities in the gravitational evolution, galaxy bias, and
redshift-space distortion drive the observed galaxy density fields away from
the initial near-Gaussian states. Exploiting such a non-Gaussian galaxy density
field requires measuring higher-order correlation functions, or, its Fourier
counterpart, polyspectra. Here, we present an efficient parallel algorithm for
estimating higher-order polyspectra. Based upon the Scoccimarro estimator, the
estimator avoids direct sampling of polygons by using the Fast-Fourier
Transform (FFT), and the parallelization overcomes the large memory requirement
of the original estimator. In particular, we design the memory layout to
minimize the inter-CPU communications, which excels in the code performance.

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The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
1
The categories of this paper are: cs
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The categories of this paper are: q-fin
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an