Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Accelerating parameter inference with graphics processing units   Gravitational wave Bayesian parameter inference involves repeated comparisons
of GW data to generic candidate predictions. Even with algorithmically
efficient methods like RIFT or reduced-order quadrature, the time needed to
perform these calculations and overall computational cost can be significant
compared to the minutes to hours needed to achieve the goals of low-latency
multimessenger astronomy. By translating some elements of the RIFT algorithm to
operate on graphics processing units (GPU), we demonstrate substantial
performance improvements, enabling dramatically reduced overall cost and
latency.

19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
10
The categories of this paper are: q-bio
29
The categories of this paper are: funct-an
16
The categories of this paper are: stat