High throughput graphics processing unit based Fano decoder

Name: High throughput graphics processing unit based Fano decoder
Author: Ateş, Özgür, Keskin, S., Kocak, T.

İsim	High throughput graphics processing unit based Fano decoder
Yazar	Ateş, Özgür, Keskin, S., Kocak, T.
Basım Tarihi:	2016-11
Basım Yeri	- Elsevier
Konu	Fano algorithm, High throughput decoding, Look-ahead, Forward error correction (FEC), Compute unified device architecture (CUDA), KEPLER, MAXWELL
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1084-8045
Kayıt Numarası	89970301-4615-4450-b8e2-478d3eed34d8
Tarih	2016-11
Örnek Metin	The next-generation high speed wireless technologies, such as WirelessHD, bring the concept of several Gigabits per second data communication. However, forward error correction that takes place at the receiver side has become a real computational challenge. So far, only hardware solutions have offered such high-speed convolutional decoding, which could not be achieved by software solutions. Our paper aims to fill this gap and proposes a software level solution offering such multi-Gbps convolutional decoding. For this intend, we use the massively parallel computing power of NVIDIA GPGPUs and CUDA programming environment to implement a solution. As a decoding method, the Fano algorithm is selected for its relatively low memory requirements and computational complexity. A look-ahead mechanism and compact history in the form of circular queue is presented to support such high throughput. Conducted tests showed that our GPU based algorithm can decode up to 9.25 Gbps.
DOI	10.1016/j.jnca.2016.08.020
Cilt	75

Kaynağa git Özyeğin Üniversitesi

Aramaya Dön

Özyeğin Üniversitesi

Kaynağa git

High throughput graphics processing unit based Fano decoder

Yazar Ateş, Özgür, Keskin, S., Kocak, T.

Basım Tarihi 2016-11

Basım Yeri - Elsevier

Konu Fano algorithm, High throughput decoding, Look-ahead, Forward error correction (FEC), Compute unified device architecture (CUDA), KEPLER, MAXWELL

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1084-8045

Kayıt Numarası 89970301-4615-4450-b8e2-478d3eed34d8

Tarih 2016-11

Örnek Metin The next-generation high speed wireless technologies, such as WirelessHD, bring the concept of several Gigabits per second data communication. However, forward error correction that takes place at the receiver side has become a real computational challenge. So far, only hardware solutions have offered such high-speed convolutional decoding, which could not be achieved by software solutions. Our paper aims to fill this gap and proposes a software level solution offering such multi-Gbps convolutional decoding. For this intend, we use the massively parallel computing power of NVIDIA GPGPUs and CUDA programming environment to implement a solution. As a decoding method, the Fano algorithm is selected for its relatively low memory requirements and computational complexity. A look-ahead mechanism and compact history in the form of circular queue is presented to support such high throughput. Conducted tests showed that our GPU based algorithm can decode up to 9.25 Gbps.

DOI 10.1016/j.jnca.2016.08.020

Cilt 75