Implementation of a high-throughput low-latency polyphase channelizer on GPUs Design and Architectures for Signal and Image Processing 2008

Scott C. Kim; Shuvra S. Bhattacharyya

doi:10.1186/1687-6180-2014-141

Implementation of a high-throughput low-latency polyphase channelizer on GPUs Design and Architectures for Signal and Image Processing 2008

Scott C. Kim^*
, Shuvra S. Bhattacharyya

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

3 Citations (Scopus)

Abstract

A channelizer is used to separate users or channels in communication systems. A polyphase channelizer is a type of channelizer that uses polyphase filtering to filter, downsample, and downconvert simultaneously. With graphics processing unit (GPU) technology, we propose a novel GPU-based polyphase channelizer architecture that delivers high throughput. This architecture has advantages of providing reduced complexity and optimized parallel processing of many channels, while being configurable via software. This makes our approach and implementation particularly attractive for using GPUs as DSP accelerators for communication systems.

Original language	English
Journal	Eurasip Journal on Advances in Signal Processing
Volume	2014
Issue number	1
DOIs	https://doi.org/10.1186/1687-6180-2014-141
Publication status	Published - 2014
Publication type	A1 Journal article-refereed

Keywords

DSP accelerator
GPU front-end receiver
GPU-based radio
Polyphase channelizer
Polyphase filter

ASJC Scopus subject areas

Signal Processing
Hardware and Architecture
Electrical and Electronic Engineering

Access to Document

10.1186/1687-6180-2014-141

Cite this

@article{2c0030afdd624254a9d03ad4f6e3c3a3,

title = "Implementation of a high-throughput low-latency polyphase channelizer on GPUs Design and Architectures for Signal and Image Processing 2008",

abstract = "A channelizer is used to separate users or channels in communication systems. A polyphase channelizer is a type of channelizer that uses polyphase filtering to filter, downsample, and downconvert simultaneously. With graphics processing unit (GPU) technology, we propose a novel GPU-based polyphase channelizer architecture that delivers high throughput. This architecture has advantages of providing reduced complexity and optimized parallel processing of many channels, while being configurable via software. This makes our approach and implementation particularly attractive for using GPUs as DSP accelerators for communication systems.",

keywords = "DSP accelerator, GPU front-end receiver, GPU-based radio, Polyphase channelizer, Polyphase filter",

author = "Kim, \{Scott C.\} and Bhattacharyya, \{Shuvra S.\}",

year = "2014",

doi = "10.1186/1687-6180-2014-141",

language = "English",

volume = "2014",

journal = "Eurasip Journal on Advances in Signal Processing",

issn = "1687-6172",

publisher = "Springer Publishing Company",

number = "1",

}

TY - JOUR

T1 - Implementation of a high-throughput low-latency polyphase channelizer on GPUs Design and Architectures for Signal and Image Processing 2008

AU - Kim, Scott C.

AU - Bhattacharyya, Shuvra S.

PY - 2014

Y1 - 2014

N2 - A channelizer is used to separate users or channels in communication systems. A polyphase channelizer is a type of channelizer that uses polyphase filtering to filter, downsample, and downconvert simultaneously. With graphics processing unit (GPU) technology, we propose a novel GPU-based polyphase channelizer architecture that delivers high throughput. This architecture has advantages of providing reduced complexity and optimized parallel processing of many channels, while being configurable via software. This makes our approach and implementation particularly attractive for using GPUs as DSP accelerators for communication systems.

AB - A channelizer is used to separate users or channels in communication systems. A polyphase channelizer is a type of channelizer that uses polyphase filtering to filter, downsample, and downconvert simultaneously. With graphics processing unit (GPU) technology, we propose a novel GPU-based polyphase channelizer architecture that delivers high throughput. This architecture has advantages of providing reduced complexity and optimized parallel processing of many channels, while being configurable via software. This makes our approach and implementation particularly attractive for using GPUs as DSP accelerators for communication systems.

KW - DSP accelerator

KW - GPU front-end receiver

KW - GPU-based radio

KW - Polyphase channelizer

KW - Polyphase filter

UR - https://www.scopus.com/pages/publications/84907545943

U2 - 10.1186/1687-6180-2014-141

DO - 10.1186/1687-6180-2014-141

M3 - Article

AN - SCOPUS:84907545943

SN - 1687-6172

VL - 2014

JO - Eurasip Journal on Advances in Signal Processing

JF - Eurasip Journal on Advances in Signal Processing

IS - 1

ER -

Implementation of a high-throughput low-latency polyphase channelizer on GPUs Design and Architectures for Signal and Image Processing 2008

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this