Accelerating the pre-processing stages of JPEG encoder on a heterogenous system using OpenCL

Nasser Alqudami; Shin Dug Kim

doi:10.1109/SNPD.2015.7176212

Accelerating the pre-processing stages of JPEG encoder on a heterogenous system using OpenCL

Nasser Alqudami, Shin Dug Kim

Department of Computer Science

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

1 Citation (Scopus)

Abstract

Color space conversion and downsampling are among the major computationally intensive steps in typical image and video codec standards, and accelerating these steps will improve the performances of these applications significantly. In this paper, we describe the parallel implementation of the color space conversion and downsampling as pre-processing steps for the JPEG encoder in a heterogeneous environment using the most recent cross-platform Open Computing Language (OpenCL). This work combines a multi-core CPU and a many-core GPU in a single solution to perform the computation of the JPEG encoder pre-processing stages. In comparing with CPU-based implementation, our OpenCL parallel implementation results in an increase in the speed of the computations by factors of 8.78 on both CPU and GPU devices.

Original language	English
Title of host publication	2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings
Editors	Keizo Saisho
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479986767
DOIs	https://doi.org/10.1109/SNPD.2015.7176212
Publication status	Published - 2015 Aug 3
Event	16th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Takamatsu, Japan Duration: 2015 Jun 1 → 2015 Jun 3

Publication series

Name	2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings

Other

Other	16th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015
Country	Japan
City	Takamatsu
Period	15/6/1 → 15/6/3

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Software

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10.1109/SNPD.2015.7176212

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Alqudami, N., & Kim, S. D. (2015). Accelerating the pre-processing stages of JPEG encoder on a heterogenous system using OpenCL. In K. Saisho (Ed.), 2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings [7176212] (2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SNPD.2015.7176212

Alqudami, Nasser ; Kim, Shin Dug. / Accelerating the pre-processing stages of JPEG encoder on a heterogenous system using OpenCL. 2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings. editor / Keizo Saisho. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings).

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abstract = "Color space conversion and downsampling are among the major computationally intensive steps in typical image and video codec standards, and accelerating these steps will improve the performances of these applications significantly. In this paper, we describe the parallel implementation of the color space conversion and downsampling as pre-processing steps for the JPEG encoder in a heterogeneous environment using the most recent cross-platform Open Computing Language (OpenCL). This work combines a multi-core CPU and a many-core GPU in a single solution to perform the computation of the JPEG encoder pre-processing stages. In comparing with CPU-based implementation, our OpenCL parallel implementation results in an increase in the speed of the computations by factors of 8.78 on both CPU and GPU devices.",

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Alqudami, N & Kim, SD 2015, Accelerating the pre-processing stages of JPEG encoder on a heterogenous system using OpenCL. in K Saisho (ed.), 2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings., 7176212, 2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 16th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015, Takamatsu, Japan, 15/6/1. https://doi.org/10.1109/SNPD.2015.7176212

Accelerating the pre-processing stages of JPEG encoder on a heterogenous system using OpenCL. / Alqudami, Nasser; Kim, Shin Dug.

2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings. ed. / Keizo Saisho. Institute of Electrical and Electronics Engineers Inc., 2015. 7176212 (2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings).

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

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N2 - Color space conversion and downsampling are among the major computationally intensive steps in typical image and video codec standards, and accelerating these steps will improve the performances of these applications significantly. In this paper, we describe the parallel implementation of the color space conversion and downsampling as pre-processing steps for the JPEG encoder in a heterogeneous environment using the most recent cross-platform Open Computing Language (OpenCL). This work combines a multi-core CPU and a many-core GPU in a single solution to perform the computation of the JPEG encoder pre-processing stages. In comparing with CPU-based implementation, our OpenCL parallel implementation results in an increase in the speed of the computations by factors of 8.78 on both CPU and GPU devices.

AB - Color space conversion and downsampling are among the major computationally intensive steps in typical image and video codec standards, and accelerating these steps will improve the performances of these applications significantly. In this paper, we describe the parallel implementation of the color space conversion and downsampling as pre-processing steps for the JPEG encoder in a heterogeneous environment using the most recent cross-platform Open Computing Language (OpenCL). This work combines a multi-core CPU and a many-core GPU in a single solution to perform the computation of the JPEG encoder pre-processing stages. In comparing with CPU-based implementation, our OpenCL parallel implementation results in an increase in the speed of the computations by factors of 8.78 on both CPU and GPU devices.

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Alqudami N, Kim SD. Accelerating the pre-processing stages of JPEG encoder on a heterogenous system using OpenCL. In Saisho K, editor, 2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. 7176212. (2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings). https://doi.org/10.1109/SNPD.2015.7176212

Accelerating the pre-processing stages of JPEG encoder on a heterogenous system using OpenCL

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