Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Performance Analysis of Noise Subspace-based Narrowband
  Direction-of-Arrival (DOA) Estimation Algorithms on CPU and GPU   High-performance computing of array signal processing problems is a critical
task as real-time system performance is required for many applications. Noise
subspace-based Direction-of-Arrival (DOA) estimation algorithms are popular in
the literature since they provide higher angular resolution and higher
robustness. In this study, we investigate various optimization strategies for
high-performance DOA estimation on GPU and comparatively analyze alternative
implementations (MATLAB, C/C++ and CUDA). Experiments show that up to 3.1x
speedup can be achieved on GPU compared to the baseline multi-threaded CPU
implementation. The source code is publicly available at the following link:
https://github.com/erayhamza/NssDOACuda

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The categories of this paper are: hep-ph
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin
29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
33
The categories of this paper are: plasm-ph
17
The categories of this paper are: q-fin
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
13
The categories of this paper are: quant-ph