NDLI: GPU based implementation of recursive digital filtering algorithms

Content Provider	IEEE Xplore Digital Library
Author	Dong-hwan Lee Wonyong Sung
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ., Seoul, South Korea (Dong-hwan Lee; Wonyong Sung)
Abstract	Recursive filtering is widely used for many signal processing applications. Speeding-up the computation of recursive filtering using many processing elements is difficult because of the dependency problem. In this paper, massively parallel computation of recursive filtering algorithms using GPGPUs (General Purpose Graphics Processing Units) is studied. The proposed method uses the multi-block parallel processing algorithm, where each thread executes one block of data as independently as possible. To resolve the dependency among threads, we develop a fast look-ahead method that shows high efficiency even when thousands of threads are used. The developed method has been implemented using Nvidia GTX 285 GPU and shows over 15 times of speed-up when compared to sequential CPU based implementations.
Starting Page	2684
Ending Page	2687
File Size	202864
Page Count	4
File Format	PDF
ISBN	9781479903566
ISSN	15206149
DOI	10.1109/ICASSP.2013.6638143
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Instruction sets Graphics processing units Equations Parallel processing Central Processing Unit Computer architecture Mathematical model look-ahead method Recursive filtering graphics processing unit (GPU) parallel computation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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