Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A fast and efficient SIMD track reconstruction algorithm for the LHCb
  Upgrade 1 VELO-PIX detector   The upgraded CERN LHCb detector, due to start data taking in 2021, will have
to reconstruct 4 TB/s of raw detector data in real time using commodity
processors. This is one of the biggest real-time data processing challenges in
any scientific domain. We present an intrinsically parallel reconstruction
algorithm for the vertex detector of the LHCb experiment designed to optimally
exploit multi-core general purpose architectures. We compare it to previous
state-of-the-art scalar pattern recognition algorithms and show significantly
faster processing and in some cases increased physics performance over all
current alternatives. We evaluate the algorithm on two high-end architectures
from two different vendors and discuss in detail the impact of different SIMD
Instruction Set Architecture extensions on the performance.

22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
17
The categories of this paper are: q-fin
1
The categories of this paper are: cs
36
The categories of this paper are: cmp-lg
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph