CUDA implementation of an optimal online Gaussian-Signal-in-Gaussian-Noise detector

Nir Nossenson; Ariel J. Jaffe

doi:10.1109/HPEC.2016.7761613

CUDA implementation of an optimal online Gaussian-Signal-in-Gaussian-Noise detector

Nir Nossenson^*, Ariel J. Jaffe

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We address the computationally demanding task of real time optimal detection of a Gaussian Signal in Gaussian Noise. The mathematical principles of such a detector were formulated in 1965, but a full real-time implementation of these principles was not possible for decades mainly due to technological barriers. We present a CUDA based implementation of such an optimal detector and study its decision making speed (or throughput) as function of target signal duration and signal filter length. We also compare the throughput results to those of a CPU based design. We report on detection rates ranging from 3.5 KHz for a target duration of 10756 samples up to 15.6 KHz for target duration of 92 samples. The CUDA based detector running on 384 parallel cores had a superior throughput comparing to a pure CPU implementation when target duration was longer than 600 samples.

Original language	English
Title of host publication	2016 IEEE High Performance Extreme Computing Conference, HPEC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509035250
DOIs	https://doi.org/10.1109/HPEC.2016.7761613
State	Published - 28 Nov 2016
Externally published	Yes
Event	2016 IEEE High Performance Extreme Computing Conference, HPEC 2016 - Waltham, United States Duration: 13 Sep 2016 → 15 Sep 2016

Publication series

Name	2016 IEEE High Performance Extreme Computing Conference, HPEC 2016

Conference

Conference	2016 IEEE High Performance Extreme Computing Conference, HPEC 2016
Country/Territory	United States
City	Waltham
Period	13/09/16 → 15/09/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

CUDA
Detection
Electrophysiological Signals
Gaussian Signal in Gaussian Noise
Radar
Sonar
parallel computing

Access to Document

10.1109/HPEC.2016.7761613

Cite this

Nossenson, N., & Jaffe, A. J. (2016). CUDA implementation of an optimal online Gaussian-Signal-in-Gaussian-Noise detector. In 2016 IEEE High Performance Extreme Computing Conference, HPEC 2016 Article 7761613 (2016 IEEE High Performance Extreme Computing Conference, HPEC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HPEC.2016.7761613

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abstract = "We address the computationally demanding task of real time optimal detection of a Gaussian Signal in Gaussian Noise. The mathematical principles of such a detector were formulated in 1965, but a full real-time implementation of these principles was not possible for decades mainly due to technological barriers. We present a CUDA based implementation of such an optimal detector and study its decision making speed (or throughput) as function of target signal duration and signal filter length. We also compare the throughput results to those of a CPU based design. We report on detection rates ranging from 3.5 KHz for a target duration of 10756 samples up to 15.6 KHz for target duration of 92 samples. The CUDA based detector running on 384 parallel cores had a superior throughput comparing to a pure CPU implementation when target duration was longer than 600 samples.",

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author = "Nir Nossenson and Jaffe, {Ariel J.}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE High Performance Extreme Computing Conference, HPEC 2016 ; Conference date: 13-09-2016 Through 15-09-2016",

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doi = "10.1109/HPEC.2016.7761613",

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Nossenson, N & Jaffe, AJ 2016, CUDA implementation of an optimal online Gaussian-Signal-in-Gaussian-Noise detector. in 2016 IEEE High Performance Extreme Computing Conference, HPEC 2016., 7761613, 2016 IEEE High Performance Extreme Computing Conference, HPEC 2016, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE High Performance Extreme Computing Conference, HPEC 2016, Waltham, United States, 13/09/16. https://doi.org/10.1109/HPEC.2016.7761613

CUDA implementation of an optimal online Gaussian-Signal-in-Gaussian-Noise detector. / Nossenson, Nir; Jaffe, Ariel J.
2016 IEEE High Performance Extreme Computing Conference, HPEC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7761613 (2016 IEEE High Performance Extreme Computing Conference, HPEC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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CUDA implementation of an optimal online Gaussian-Signal-in-Gaussian-Noise detector

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Keywords

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